Next Article in Journal
COVID-19 and Lung Cancer Survival: An Updated Systematic Review and Meta-Analysis
Next Article in Special Issue
Investigational Microbiological Therapy for Glioma
Previous Article in Journal
ACY1 Downregulation Enhances the Radiosensitivity of Cetuximab-Resistant Colorectal Cancer by Inactivating the Wnt/β-Catenin Signaling Pathway
Previous Article in Special Issue
Smart Nanoformulations for Brain Cancer Theranostics: Challenges and Promises
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Cancers
Volume 14
Issue 22
10.3390/cancers14225705
cancers-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes

by
Hani Chanbour
and
Silky Chotai
*
Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN 37209, USA
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(22), 5705; https://doi.org/10.3390/cancers14225705
Submission received: 24 October 2022 / Revised: 12 November 2022 / Accepted: 18 November 2022 / Published: 21 November 2022
(This article belongs to the Collection Treatment of Glioma)
Browse Figure
Versions Notes

Abstract

:

Simple Summary

Understanding the impact of intraoperative modalities in glioma surgery on the extent of resection (EOR), survival, and complications is vital to maximizing safe resection while preserving neurological function. A systematic literature search was performed to assess the impact of intraoperative modalities of glioma surgery, including one or a combination of the following: intraoperative magnetic resonance imaging (iMRI), awake/general anesthesia craniotomy mapping (AC/GA), fluorescence-guided imaging, or combined modalities. The heterogeneity in reporting the amount of surgical resection prevented further analysis. The studies reviewed indicated that these modalities significantly improved EOR but most often underreported Progression-free survival/overall survival (PFS/OS). Combining intraoperative modalities during the same brain glioma operation seems to have the highest effect compared to each modality alone.

Abstract

Maximal safe resection is the mainstay of treatment in the neurosurgical management of gliomas, and preserving functional integrity is linked to favorable outcomes. How these modalities differ in their effectiveness on the extent of resection (EOR), survival, and complications remains unknown. A systematic literature search was performed with the following inclusion criteria: published between 2005 and 2022, involving brain glioma surgery, and including one or a combination of intraoperative modalities: intraoperative magnetic resonance imaging (iMRI), awake/general anesthesia craniotomy mapping (AC/GA), fluorescence-guided imaging, or combined modalities. Of 525 articles, 464 were excluded and 61 articles were included, involving 5221 glioma patients, 7(11.4%) articles used iMRI, 21(36.8%) used cortical mapping, 15(24.5%) used 5-aminolevulinic acid (5-ALA) or fluorescein sodium, and 18(29.5%) used combined modalities. The heterogeneity in reporting the amount of surgical resection prevented further analysis. Progression-free survival/overall survival (PFS/OS) were reported in 18/61(29.5%) articles, while complications and permanent disability were reported in 38/61(62.2%) articles. The reviewed studies demonstrate that intraoperative adjuncts such as iMRI, AC/GA mapping, fluorescence-guided imaging, and a combination of these modalities improve EOR. However, PFS/OS were underreported. Combining multiple intraoperative modalities seems to have the highest effect compared to each adjunct alone.

1. Introduction

Gliomas are the most common primary intracranial tumors in adult patients. The age-standardized incidence rate of gliomas was 4.7 per 100,000 person-years [1]. Around 8000 new cases are diagnosed annually in the United States [2]. Gliomas originate from the glial cells of the central nervous system and are graded from I to IV according to the World Health Organization (WHO) classification. The most common histologic types in adult patients include glioblastoma (GBM) (grade IV), astrocytic tumors (grade I-III), oligodendroglioma (grade II-III), and ependymomas (grade I-III) [3]. Among gliomas, GBM holds the poorest prognosis, with 2-year survival rarely exceeding 10% [4]. Maximal safe resection is the standard of treatment in the neurosurgical management of gliomas [5]. Enhancing cytoreduction and minimizing neurologic deficits can be especially critical when gliomas involve or approach eloquent regions of the brain [6]. Achieving a high extent of resection (EOR) while preserving functional integrity has been shown to improve surgical outcomes and overall survival (OS) [5,7].
Adjuvant modalities and technological enhancements have led to improved identification and visual discrimination of the tumor–brain margin to assist neurosurgeons in the operating room [8]. Intraoperative imaging techniques such as intraoperative magnetic resonance imaging (iMRI) and fluorescence imaging using 5-aminolevulinic acid (5-ALA) and sodium fluorescein have shown an increased EOR in lesions primarily amenable to subtotal resection (STR) [8,9]. Furthermore, when operating around eloquent areas, awake or asleep surgery with intraoperative neuromonitoring aids has enhanced the detection of safe corridors for tumor access and provided accurate real-time feedback regarding critical structures such as motor and language areas [10,11].
How these modalities differ in their effectiveness in increasing the EOR, survival benefit, and complication profile remains relatively understudied. Understanding each adjuvant technological advancement and its impact on surgical outcomes is vital to guide the surgeon’s choice of modality for enhanced surgical precision. The objective of this narrative review was to outline the current literature regarding the advances of intraoperative modalities in glioma surgery utilized to achieve optimal resection.

2. Materials and Methods

An advanced PubMed search was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Figure 1) [12], using the following key search terms: “glioma”, “glioblastoma”, “GBM”, “MRI”, “monitoring”, “imaging”, “mapping”, “awake, “5-ALA”, “fluorescence”, “resection”, “adjunct”, and “removal”. No institutional review board approval was required since no original data were used. Inclusion criteria were studies published between 2005 and 2022, involving glioma surgery, and including one or a combination of intraoperative modalities such as iMRI, brain mapping through an awake craniotomy (AC) or general anesthesia (GA), or fluorescence-guided imaging. Exclusion criteria were non-human studies, review articles including narrative reviews, systematic reviews and meta-analyses, non-surgical management of gliomas, pediatric patients, spinal gliomas, case reports, and non-English language articles. Considering the rapid evolution of adjuncts used in glioma surgery over the last several years the studies prior to 2005 were excluded.
The primary outcome was the EOR, which was reported either as the percentage of resection, type of resection (i.e., gross total resection (GTR), subtotal resection (STR), etc.), or the amount of residual volume (cm3). Secondary outcomes were progression–free survival (PFS) and (OS), as well as postoperative complications. Postoperative transient neurologic deficits were not reported. Other collected variables included study period, study design, sample size, histologic diagnosis reported as GBM vs. lower-grade gliomas (I–II–III), and the location of tumors.

3. Results

Of 525 articles, 406 articles were excluded after title/abstract screening, and 568 were further excluded following the free-text screening. Of 61 remaining articles involving 5221 glioma patients, 7 (11.4%) articles used iMRI, 21 (36.8%) used cortical mapping, 15 (24.5%) used 5-aminolevulinic acid (5-ALA) or fluorescein sodium, and 18 (29.5%) used combined modalities (Figure 1).

3.1. Intraoperative Magnetic Resonance Imaging

In the early 1990s, neurosurgeons endorsed MRI technology in the operating room to improve tumor detection and enhance the resection of brain tumors [13]. iMRI assists neurosurgeons in demarcating the margins of the tumor and accounts for brain shifts on neuronavigation [14].
A total of 1170 patients were included in 4 prospective and 3 retrospective studies [15,16,17,18,19,20,21]. Moreover, 3/7 articles included lower-grade gliomas, and all 7 articles included patients with GBM. Studies that involved iMRI are summarized in Table 1.
In a retrospective study of 135 patients with GBM, Kuhnt et al. [17] identified residual tumors in 65% of cases using iMRI, which allowed further resection in 19 patients. Patients with GTR had an increased OS reaching 14 months compared to 9 months in the rest of the cohort, and 1 (0.7%) patient had a permanent language deficit. In a prospective study of 141 GBM and 83 (37.1%) lower-grade gliomas (I-III), Scherer et al. [16] performed an additional resection in 70% of patients after iMRI; however, 15 (6.7%) patients had a permanent new neurological deficit. While iMRI has demonstrated a significant EOR improvement in patients with GBM and lower-grade gliomas, the impact on PFS and OS was not well established. In a randomized controlled trial of 49 patients with GBM and lower-grade gliomas, Senft et al. [18] found a longer PFS in patients undergoing glioma resection under iMRI compared to the control group, but this did not reach statistical significance (p = 0.083). In another multicenter study, Shah et al. [21] found that while iMRI increased EOR, iMRI was not an independent predictor of OS.
Despite the increased operative time and the carried risk of infection and prolonged anesthesia, iMRI was demonstrated to be cost-effective with an incremental benefit of 0.18 quality-adjusted life years in high-grade gliomas [22].

3.2. Awake vs. Asleep Cortical and Subcortical Mapping

Intraoperative stimulation mapping was developed by Penfield and Cushing in the early 1900s [23] and is considered currently the gold standard in identifying eloquent areas of the brain. Mapping allows accurate real-time detection of areas with important functionality, in addition to tumor-related epileptic foci [24,25]. Mapping of eloquent areas is performed under either GA or AC protocol [26]. In AC, patients are asked to perform motor tasks to evaluate muscle strength and coordinate subcortical stimulation, which would ensure subcortical tract integrity prior to tumor resection.
As summarized in Table 2A–C, a total of 1961 patients were included in 3 prospective, 17 retrospective studies, and 1 combined prospective and retrospective study [26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46]. Of 21 articles using brain mapping, 18 articles included lower-grade gliomas, and 16 articles included patients with GBM.
GA mapping alone was used in 3 studies and included 346 patients (Table 2A). With regards to GA monitoring, Duffau et al. [38] found a higher total resection rate in patients undergoing lower-grade gliomas resection in patients with GA monitoring (25.4%) compared to patients without (6%), with no significant impact on OS.
AC mapping alone was used in 8 studies and included 404 patients (Table 2B). Motomura et al. [27] performed retrospective studies of 126 lower-grade gliomas using AC, and found an EOR of 93.1%, with 32 (25.4%) patients undergoing GTR. In another retrospective study 22 patients undergoing surgery for lower-grade gliomas, 11 (50%) of which underwent AC, EOR was higher in patients with monitoring vs. without (91.7% vs. 48.7%, p = 0.001), and OS was higher in patients receiving AC (PFS mean 5.3 vs. 3.7years, p = 0.008) [39].
Of 21 included studies, 9 studies included both GA and AC cohorts, involving a total of 1211 patients (Table 2C). While previous literature was in relative agreement regarding the established effect of AC and GA mapping on increased EOR, improved OS, and decreased postoperative morbidity, the superiority of one protocol against the other was hardly found in the literature, with not enough comparison of PFS, OS, and complications between patients with AC and GA monitoring [10,26,47,48].

3.3. Fluorescence-Guided Imaging

Under the operating microscope, the similarity between tumor appearance and nearby brain parenchyma makes it challenging to achieve a complete tumor resection. Fluorescence-guided surgery has provided neurosurgeons with real-time distinction of not only the tumor core, but also the tumor–brain interface that defines the extent of resection [49]. Biomarkers that were mostly investigated to maximize the extent of glioma resection are 5-ALA and fluorescein sodium.
A total of 937 patients were included in 10 prospective and 5 retrospective studies [50,51,52,53,54,55,56,57,58,59,60,61,62,63,64]. Of 15 articles using fluorescence-guided imaging, 6 articles included lower-grade gliomas, and 13 articles included patients with GBM. Studies that used fluorescence-guided imaging are summarized in Table 3A–C.
In 1947, fluorescein sodium was introduced to identify malignant gliomas. Fluorescein sodium is given intravenously, and it enters the brain in the areas of blood–brain barrier breakdown, where it resides in the extracellular space. Fluorescein sodium can be grossly perceived by the naked eye and allows real-time visualization of the areas contrasted by gadolinium in MRI [65]. Of 15 included studies, fluorescein sodium alone was used in 7 studies and included 275 patients (Table 3A). In a retrospective study of 48 patients with GBM, Catapano et al. [62] found a higher GTR (82.6%) in patients with sodium fluorescein-guided removal compared to controls (36%). Acerbi et al. [56] was the first group to initiate a phase II clinical trial in 20 patients undergoing high-grade glioma resection using sodium fluorescence and found that 80% of patients achieved a complete resection, with a sensitivity of 80% in detecting tumor tissue. In another prospective study conducted by Chen et al. [60], patients with fluorescein sodium showed a longer PFS compared to the control group (7.2 vs. 5.4 months). While previous studies investigated EOR and PFS in patients undergoing glioma removal with fluorescein sodium, the impact on OS remains understudied.
On the other hand, 5-ALA is ingested orally prior to surgery and is rapidly absorbed into the bloodstream and converted into protoporphyrin IX intracellularly. The latter molecule emits fluorescence when excited by blue-violet light conditions, facilitating the identification of tumor tissues [66]. Of 15 included studies, 5-ALA imaging was used in 7 studies and included 563 patients (Table 3B). In a phase III randomized controlled trial performed by Stummer et al. [53] involving 237 GBM and 85 lower-grade gliomas, patients who received 5-ALA had a higher GTR and PFS compared to the control group. Only one study utilized both 5-ALA and fluorescein sodium (Table 3C). When comparing 5-ALA and fluorescein sodium, Zeppa et al. [50] included 99 patients with GBM and found no significant difference in EOR or OS between 5-ALA alone, sodium fluorescein alone, and a combined 5-ALA sodium fluorescein-guided imaging.

3.4. Combined and Other Adjuvant Modalities

Combining intraoperative modality is not uncommon in glioma surgery. A total of 1153 patients were included in 4 prospective and 14 retrospective studies [67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84]. Of 18 included articles, 16 included lower-grade gliomas, and all articles included patients with GBM. A total of 10 studies used iMRI and mapping either through AC or GA, 5 studies used iMRI and 5-ALA fluorescence, 2 studies used 5-ALA fluorescence and mapping, and 1 study used iMRI and intraoperative tractography mapping. Studies that used combined intraoperative modalities are summarized in Table 4.
A few studies demonstrated that combining iMRI with AC or GA mapping may be more advantageous than either adjunct alone [69,70,71,72,73,74,75,76,77]. In 41 patients undergoing glioma resection with AC, Maldaun et al. [69] showed that 17 (40.5%) of cases underwent further resection after iMRI, with an increased EOR from 56% to 67%. Similarly, iMRI combined with 5-ALA has shown a potential increase in EOR and OS while keeping a safe complication profile [67,79,80,82]. Roder et al. [78], found a higher rate of GTR in patients undergoing iMRI versus those who received 5-ALA only in the surgical resection of GBM.
A combination of 5-ALA and GA with mapping was also reported [81,83]. In a prospective study of 36 patients with various grade gliomas undergoing surgical resection, Feigl et al. [81] found a 64% GTR rate when combining 5-ALA and GA with mapping. In another prospective study of 31 patients with low-grade and high-grade gliomas, GTR was achieved in 74% of patients when combining 5-ALA with either AC or GA with mapping [83]. These studies concluded that the combination of different intraoperative modalities seems to have a synergistic overall effect on EOR and overall survival.
Other modalities in adjunct to the aforementioned imaging include intraoperative or contrast-enhanced ultrasound. Ultrasound is cost-effective, widely available, offers real-time visualization of gliomas, and improves the accuracy of navigation. Additionally, doppler ultrasound tracks the flow patterns through the tumor’s microvessels using radiation-free images [85]. Prada et al. [86] found an increased EOR in patients undergoing GBM resection using contrast-enhanced ultrasound. Furthermore, in a retrospective study of 75 patients with GBM, Neidert et al. [87] found an increased OS and PFS with intraoperative ultrasound compared to the non-ultrasound group.
A few studies have described the use of intraoperative histology using stimulated Raman scattering microscopy, which was introduced in 2008 [8,88]. Artificial intelligence has shown high accuracy in differentiating high- and low-density tumor regions, detecting tumor subtypes, and distinguishing infiltrative cells at tumor margins through hand-held probes, which showed a potential improvement in EOR and subsequently PFS and OS. [89,90] Nonetheless, the number of studies reporting the use of intraoperative histology is limited.

4. Discussion

Considering the plethora of advancements in neurosurgery, we conducted a systematic review to summarize the recent investigations of the intraoperative modalities that assist the surgical treatment of gliomas, including iMRI, awake and asleep cortical and subcortical mapping, fluorescence-guided imaging, and combined modalities. While a number of studies have been published focusing on each adjuvant modality, studies comparing one adjuvant intraoperative modality with another are lacking.
The use of iMRI as an adjunct was associated with an increase in EOR; however, its impact on PFS and OS was limited. Though iMRI offers a vast range of advantages and intraoperative capabilities in improving EOR, it is limited by its feasibility and cost. Furthermore, special infrastructure requirements, as well as special expertise, are required to operate the use of iMRI [91].
Patients undergoing glioma removal under AC or GA monitoring have shown an increased EOR, PFS, and OS. However, the superiority of AC over GA remains to be elucidated. When considering AC, patient selection, appropriate patient selection, and coordination between experienced anesthesia, surgery, neuromonitoring, neurology, and neuropsychology teams are required. The risk of intraoperative seizures, postoperative emotional distress, and the need for conversion from AC to GA should be considered [26,32,39,92]. Regardless of the AC or GA approach, cortical and subcortical mapping of motor areas facilitates maximal safe resection. Studies have demonstrated that motor evoked potential (MEP) in motor mapping exhibits high reliability with few to no false-negative monitoring [93]. For the speech region and insular gliomas, AC with intraoperative language mapping is associated with improved EOR [26,94]. Studies comparing AC and GA for these eloquent regions are sparse.
While more studies have already established the significant impact of 5-ALA on EOR, PFS, and OS, research involving fluorescein sodium remains minimal. With regard to possible disadvantages of fluorescence-guided images, previous evidence showed an increased fluorescence in both low- and high-grade gliomas, some studies witnessed a lack of visible fluorescence in grade I and grade II gliomas, rendering high-grade gliomas more sensitive to fluorescent biomarkers [95]. Side effects of fluorescent agents include a sensitization of the skin that lasts for 24 h after ingestion. Furthermore, reactive astrocytosis, highly vascularized areas, and inflamed tissues may emit fluorescence regardless of the presence of malignancies [67]. Moreover, due to the lack of uptake of fluorescent biomarkers in non-vascularized tissues, the necrotic portion of the tumor may not be accurately detected [61]. Other downsides include the requirement of a dark surgical field, the cost associated with fluorescent biomarkers, and the time required for 5-ALA to reach peak concentration in blood [56,96].
Combining different intraoperative modalities is associated with a significant increase in EOR, PFS, and OS while keeping a safe complication profile. Cost-effectiveness, however, may play an important role in decision making. While other combined modalities have shown a greater effect compared to each surgical adjunct alone, randomized clinical trials are still lacking.
Newer advanced visualization technologies such as exoscope, contrast-enhanced ultrasound, intraoperative histopathology, imaging probe devices, stimulated Raman scattering microscopy, probe-based microscopy, and wide-field endomicroscopy are currently being tested and implemented intraoperatively [8]. Therefore, surgeons may employ the adjuncts based on their own expertise with various technologies, tumor histology and location, and cost-effectiveness. Other intraoperative modalities include fluorescence using indocyanine green, which demonstrated an increased affinity to endothelial cells in the peritumoral tissue [97], theranostics using optical coherence tomography that improved resection at a cellular-level precision [98], and other imaging modalities such as stereotactic navigation [99], whole-brain tractography, and diffusion tensor imaging [100].
This systematic review has some limitations that warrant further discussion. First, the allocated time for the search strategy (2005–2022), though arbitrary, aimed at removing non-relevant studies and narrowing the review of recent articles regarding intraoperative modalities. Second, the modalities that were explored in the listed studies may not be mutually exclusive. For example, some studies may have focused on iMRI but also have also used GA monitoring without mentioning it. Third, the lack of consistency in reporting EOR prevented further analysis. Fourth, while the current objectives were to report the PFS and OS in studies investigating intraoperative modalities for glioma resection, these parameters were underreported, likely due to the previously established correlation between EOR and prolonged survival, and some studies may have waived the need to explore this area of research. Finally, the heterogeneity of the location of gliomas was not accounted for in most of these studies, which might have impacted the EOR, survival analysis, and operative complications. The impact of postoperative adjuvant chemotherapy and radiotherapy on PFS and OS is not well reported in the studies reviewed. Furthermore, most studies investigating intraoperative modalities comprised small sample sizes. Large-scale multicenter studies are necessary to accurately establish the differences in EOR, PFS, and OS with the use of these adjuvant intraoperative modalities.

5. Conclusions

Intraoperative adjuncts such as iMRI, AC and GA mapping, fluorescence-guided imaging (5-ALA and fluorescein sodium), and a combination of these modalities have the potential to improve the extent of maximal safe resection for gliomas. The impact of using these adjuncts on PFS and OS is underreported. Combining multiple intraoperative modalities seems to have the highest effect compared to each adjunct alone. Future prospective studies with larger sample sizes are warranted to evaluate the differences between these modalities and their impact on short- and long-term outcomes.

Author Contributions

H.C.: investigation, resources, data curation, writing and draft preparation. S.C.: Conceptualization and methodology, review, final approval for submission. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Larjavaara, S.; Mäntylä, R.; Salminen, T.; Haapasalo, H.; Raitanen, J.; Jääskeläinen, J.; Auvinen, A. Incidence of Gliomas by Anatomic Location. Neuro Oncol. 2007, 9, 319–325. [Google Scholar] [CrossRef] [PubMed]
  2. La Torre, D.; Maugeri, R.; Angileri, F.F.; Pezzino, G.; Conti, A.; Cardali, S.M.; Calisto, A.; Sciarrone, G.; Misefari, A.; Germanò, A.; et al. Human Leukocyte Antigen Frequency in Human High-Grade Gliomas: A Case-Control Study in Sicily. Neurosurgery 2009, 64, 1082–1088; discussion 1088–1089. [Google Scholar] [CrossRef] [PubMed]
  3. Louis, D.N.; Perry, A.; Reifenberger, G.; von Deimling, A.; Figarella-Branger, D.; Cavenee, W.K.; Ohgaki, H.; Wiestler, O.D.; Kleihues, P.; Ellison, D.W. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: A Summary. Acta Neuropathol. 2016, 131, 803–820. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Ghosh, M.; Shubham, S.; Mandal, K.; Trivedi, V.; Chauhan, R.; Naseera, S. Survival and Prognostic Factors for Glioblastoma Multiforme: Retrospective Single-Institutional Study. Indian J. Cancer 2017, 54, 362–367. [Google Scholar] [CrossRef]
  5. McGirt, M.J.; Chaichana, K.L.; Gathinji, M.; Attenello, F.J.; Than, K.; Olivi, A.; Weingart, J.D.; Brem, H.; Quiñones-Hinojosa, A.R. Independent Association of Extent of Resection with Survival in Patients with Malignant Brain Astrocytoma. J. Neurosurg. 2009, 110, 156–162. [Google Scholar] [CrossRef] [Green Version]
  6. Yong, R.L.; Lonser, R.R. Surgery for Glioblastoma Multiforme: Striking a Balance. World Neurosurg. 2011, 76, 528–530. [Google Scholar] [CrossRef] [Green Version]
  7. Lacroix, M.; Abi-Said, D.; Fourney, D.R.; Gokaslan, Z.L.; Shi, W.; DeMonte, F.; Lang, F.F.; McCutcheon, I.E.; Hassenbusch, S.J.; Holland, E.; et al. A Multivariate Analysis of 416 Patients with Glioblastoma Multiforme: Prognosis, Extent of Resection, and Survival. J. Neurosurg. 2001, 95, 190–198. [Google Scholar] [CrossRef] [Green Version]
  8. Schupper, A.J.; Yong, R.L.; Hadjipanayis, C.G. The Neurosurgeon’s Armamentarium for Gliomas: An Update on Intraoperative Technologies to Improve Extent of Resection. J. Clin. Med. 2021, 10, 236. [Google Scholar] [CrossRef]
  9. Chaichana, K.L.; Jusue-Torres, I.; Navarro-Ramirez, R.; Raza, S.M.; Pascual-Gallego, M.; Ibrahim, A.; Hernandez-Hermann, M.; Gomez, L.; Ye, X.; Weingart, J.D.; et al. Establishing Percent Resection and Residual Volume Thresholds Affecting Survival and Recurrence for Patients with Newly Diagnosed Intracranial Glioblastoma. Neuro Oncol. 2014, 16, 113–122. [Google Scholar] [CrossRef]
  10. De Benedictis, A.; Moritz-Gasser, S.; Duffau, H. Awake Mapping Optimizes the Extent of Resection for Low-Grade Gliomas in Eloquent Areas. Neurosurgery 2010, 66, 1074–1084; discussion 1084. [Google Scholar] [CrossRef]
  11. Morshed, R.A.; Young, J.S.; Lee, A.T.; Hervey-Jumper, S.L. Functional Mapping for Glioma Surgery, Part 2: Intraoperative Mapping Tools. Neurosurg. Clin. N. Am. 2021, 32, 75–81. [Google Scholar] [CrossRef] [PubMed]
  12. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef] [PubMed]
  13. Knauth, M.; Wirtz, C.R.; Tronnier, V.M.; Aras, N.; Kunze, S.; Sartor, K. Intraoperative MR Imaging Increases the Extent of Tumor Resection in Patients with High-Grade Gliomas. AJNR Am. J. Neuroradiol. 1999, 20, 1642–1646. [Google Scholar] [PubMed]
  14. Krivosheya, D.; Rao, G.; Tummala, S.; Kumar, V.; Suki, D.; Bastos, D.C.A.; Prabhu, S.S. Impact of Multi-Modality Monitoring Using Direct Electrical Stimulation to Determine Corticospinal Tract Shift and Integrity in Tumors Using the Intraoperative MRI. J. Neurol. Surg. A Cent. Eur. Neurosurg. 2021, 82, 375–380. [Google Scholar] [CrossRef]
  15. Coburger, J.; Segovia von Riehm, J.; Ganslandt, O.; Wirtz, C.R.; Renovanz, M. Is There an Indication for Intraoperative MRI in Subtotal Resection of Glioblastoma? A Multicenter Retrospective Comparative Analysis. World Neurosurg. 2018, 110, e389–e397. [Google Scholar] [CrossRef]
  16. Scherer, M.; Jungk, C.; Younsi, A.; Kickingereder, P.; Müller, S.; Unterberg, A. Factors Triggering an Additional Resection and Determining Residual Tumor Volume on Intraoperative MRI: Analysis from a Prospective Single-Center Registry of Supratentorial Gliomas. Neurosurg. Focus 2016, 40, E4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Kuhnt, D.; Becker, A.; Ganslandt, O.; Bauer, M.; Buchfelder, M.; Nimsky, C. Correlation of the Extent of Tumor Volume Resection and Patient Survival in Surgery of Glioblastoma Multiforme with High-Field Intraoperative MRI Guidance. Neuro Oncol. 2011, 13, 1339–1348. [Google Scholar] [CrossRef] [Green Version]
  18. Senft, C.; Bink, A.; Franz, K.; Vatter, H.; Gasser, T.; Seifert, V. Intraoperative MRI Guidance and Extent of Resection in Glioma Surgery: A Randomised, Controlled Trial. Lancet Oncol. 2011, 12, 997–1003. [Google Scholar] [CrossRef]
  19. Hatiboglu, M.A.; Weinberg, J.S.; Suki, D.; Rao, G.; Prabhu, S.S.; Shah, K.; Jackson, E.; Sawaya, R. Impact of Intraoperative High-Field Magnetic Resonance Imaging Guidance on Glioma Surgery: A Prospective Volumetric Analysis. Neurosurgery 2009, 64, 1073–1081; discussion 1081. [Google Scholar] [CrossRef]
  20. Kubben, P.L.; Scholtes, F.; Schijns, O.E.M.G.; Ter Laak-Poort, M.P.; Teernstra, O.P.M.; Kessels, A.G.H.; van Overbeeke, J.J.; Martin, D.H.; van Santbrink, H. Intraoperative Magnetic Resonance Imaging versus Standard Neuronavigation for the Neurosurgical Treatment of Glioblastoma: A Randomized Controlled Trial. Surg. Neurol. Int. 2014, 5, 70. [Google Scholar] [CrossRef]
  21. Shah, A.S.; Sylvester, P.T.; Yahanda, A.T.; Vellimana, A.K.; Dunn, G.P.; Evans, J.; Rich, K.M.; Dowling, J.L.; Leuthardt, E.C.; Dacey, R.G.; et al. Intraoperative MRI for Newly Diagnosed Supratentorial Glioblastoma: A Multicenter-Registry Comparative Study to Conventional Surgery. J. Neurosurg. 2020, 135, 505–514. [Google Scholar] [CrossRef] [PubMed]
  22. Abraham, P.; Sarkar, R.; Brandel, M.G.; Wali, A.R.; Rennert, R.C.; Lopez Ramos, C.; Padwal, J.; Steinberg, J.A.; Santiago-Dieppa, D.R.; Cheung, V.; et al. Cost-Effectiveness of Intraoperative MRI for Treatment of High-Grade Gliomas. Radiology 2019, 291, 689–697. [Google Scholar] [CrossRef] [PubMed]
  23. Bello, L.; Riva, M.; Fava, E.; Ferpozzi, V.; Castellano, A.; Raneri, F.; Pessina, F.; Bizzi, A.; Falini, A.; Cerri, G. Tailoring Neurophysiological Strategies with Clinical Context Enhances Resection and Safety and Expands Indications in Gliomas Involving Motor Pathways. Neuro Oncol. 2014, 16, 1110–1128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. De Witt Hamer, P.C.; Robles, S.G.; Zwinderman, A.H.; Duffau, H.; Berger, M.S. Impact of Intraoperative Stimulation Brain Mapping on Glioma Surgery Outcome: A Meta-Analysis. J. Clin. Oncol. 2012, 30, 2559–2565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Feyissa, A.M.; Worrell, G.A.; Tatum, W.O.; Mahato, D.; Brinkmann, B.H.; Rosenfeld, S.S.; ReFaey, K.; Bechtle, P.S.; Quinones-Hinojosa, A. High-Frequency Oscillations in Awake Patients Undergoing Brain Tumor-Related Epilepsy Surgery. Neurology 2018, 90, e1119–e1125. [Google Scholar] [CrossRef] [PubMed]
  26. Eseonu, C.I.; Rincon-Torroella, J.; ReFaey, K.; Lee, Y.M.; Nangiana, J.; Vivas-Buitrago, T.; Quiñones-Hinojosa, A. Awake Craniotomy vs Craniotomy Under General Anesthesia for Perirolandic Gliomas: Evaluating Perioperative Complications and Extent of Resection. Neurosurgery 2017, 81, 481–489. [Google Scholar] [CrossRef] [PubMed]
  27. Motomura, K.; Chalise, L.; Ohka, F.; Aoki, K.; Tanahashi, K.; Hirano, M.; Nishikawa, T.; Yamaguchi, J.; Shimizu, H.; Wakabayashi, T.; et al. Impact of the Extent of Resection on the Survival of Patients with Grade II and III Gliomas Using Awake Brain Mapping. J. Neurooncol. 2021, 153, 361–372. [Google Scholar] [CrossRef]
  28. Morsy, A.A.; Ismail, A.M.; Nasr, Y.M.; Waly, S.H.; Abdelhameed, E.A. Predictors of Stimulation-Induced Seizures during Perirolandic Glioma Resection Using Intraoperative Mapping Techniques. Surg. Neurol. Int. 2021, 12, 117. [Google Scholar] [CrossRef]
  29. Gogos, A.J.; Young, J.S.; Morshed, R.A.; Avalos, L.N.; Noss, R.S.; Villanueva-Meyer, J.E.; Hervey-Jumper, S.L.; Berger, M.S. Triple Motor Mapping: Transcranial, Bipolar, and Monopolar Mapping for Supratentorial Glioma Resection Adjacent to Motor Pathways. J. Neurosurg. 2020, 134, 1728–1737. [Google Scholar] [CrossRef]
  30. Burks, J.D.; Bonney, P.A.; Conner, A.K.; Glenn, C.A.; Briggs, R.G.; Battiste, J.D.; McCoy, T.; O’Donoghue, D.L.; Wu, D.H.; Sughrue, M.E. A Method for Safely Resecting Anterior Butterfly Gliomas: The Surgical Anatomy of the Default Mode Network and the Relevance of Its Preservation. J. Neurosurg. 2017, 126, 1795–1811. [Google Scholar] [CrossRef]
  31. Nossek, E.; Korn, A.; Shahar, T.; Kanner, A.A.; Yaffe, H.; Marcovici, D.; Ben-Harosh, C.; Ben Ami, H.; Weinstein, M.; Shapira-Lichter, I.; et al. Intraoperative Mapping and Monitoring of the Corticospinal Tracts with Neurophysiological Assessment and 3-Dimensional Ultrasonography-Based Navigation. Clinical Article. J. Neurosurg. 2011, 114, 738–746. [Google Scholar] [CrossRef] [PubMed]
  32. Schucht, P.; Seidel, K.; Beck, J.; Murek, M.; Jilch, A.; Wiest, R.; Fung, C.; Raabe, A. Intraoperative Monopolar Mapping during 5-ALA-Guided Resections of Glioblastomas Adjacent to Motor Eloquent Areas: Evaluation of Resection Rates and Neurological Outcome. Neurosurg. Focus 2014, 37, E16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Clavreul, A.; Aubin, G.; Delion, M.; Lemée, J.-M.; Ter Minassian, A.; Menei, P. What Effects Does Awake Craniotomy Have on Functional and Survival Outcomes for Glioblastoma Patients? J. Neurooncol. 2021, 151, 113–121. [Google Scholar] [CrossRef] [PubMed]
  34. Rossi, M.; Puglisi, G.; Conti Nibali, M.; Viganò, L.; Sciortino, T.; Gay, L.; Leonetti, A.; Zito, P.; Riva, M.; Bello, L. Asleep or Awake Motor Mapping for Resection of Perirolandic Glioma in the Nondominant Hemisphere? Development and Validation of a Multimodal Score to Tailor the Surgical Strategy. J. Neurosurg. 2022, 136, 16–29. [Google Scholar] [CrossRef]
  35. Giamouriadis, A.; Lavrador, J.P.; Bhangoo, R.; Ashkan, K.; Vergani, F. How Many Patients Require Brain Mapping in an Adult Neuro-Oncology Service? Neurosurg. Rev. 2020, 43, 729–738. [Google Scholar] [CrossRef]
  36. Li, Y.-C.; Chiu, H.-Y.; Lin, Y.-J.; Chen, K.-T.; Hsu, P.-W.; Huang, Y.-C.; Chen, P.-Y.; Wei, K.-C. The Merits of Awake Craniotomy for Glioblastoma in the Left Hemispheric Eloquent Area: One Institution Experience. Clin. Neurol. Neurosurg. 2021, 200, 106343. [Google Scholar] [CrossRef]
  37. Alimohamadi, M.; Shirani, M.; Shariat Moharari, R.; Pour-Rashidi, A.; Ketabchi, M.; Khajavi, M.; Arami, M.; Amirjamshidi, A. Application of Awake Craniotomy and Intraoperative Brain Mapping for Surgical Resection of Insular Gliomas of the Dominant Hemisphere. World Neurosurg. 2016, 92, 151–158. [Google Scholar] [CrossRef]
  38. Duffau, H.; Lopes, M.; Arthuis, F.; Bitar, A.; Sichez, J.-P.; Van Effenterre, R.; Capelle, L. Contribution of Intraoperative Electrical Stimulations in Surgery of Low Grade Gliomas: A Comparative Study between Two Series without (1985–96) and with (1996–2003) Functional Mapping in the Same Institution. J. Neurol. Neurosurg. Psychiatry 2005, 76, 845–851. [Google Scholar] [CrossRef] [Green Version]
  39. Martino, J.; Gomez, E.; Bilbao, J.L.; Dueñas, J.C.; Vázquez-Barquero, A. Cost-Utility of Maximal Safe Resection of WHO Grade II Gliomas within Eloquent Areas. Acta Neurochir. 2013, 155, 41–50. [Google Scholar] [CrossRef]
  40. Sacko, O.; Lauwers-Cances, V.; Brauge, D.; Sesay, M.; Brenner, A.; Roux, F.-E. Awake Craniotomy vs Surgery under General Anesthesia for Resection of Supratentorial Lesions. Neurosurgery 2011, 68, 1192–1198; discussion 1198–1199. [Google Scholar] [CrossRef]
  41. Skrap, M.; Mondani, M.; Tomasino, B.; Weis, L.; Budai, R.; Pauletto, G.; Eleopra, R.; Fadiga, L.; Ius, T. Surgery of Insular Nonenhancing Gliomas: Volumetric Analysis of Tumoral Resection, Clinical Outcome, and Survival in a Consecutive Series of 66 Cases. Neurosurgery 2012, 70, 1081–1093; discussion 1093–1094. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Schucht, P.; Ghareeb, F.; Duffau, H. Surgery for Low-Grade Glioma Infiltrating the Central Cerebral Region: Location as a Predictive Factor for Neurological Deficit, Epileptological Outcome, and Quality of Life. J. Neurosurg. 2013, 119, 318–323. [Google Scholar] [CrossRef] [PubMed]
  43. Eseonu, C.I.; Rincon-Torroella, J.; Lee, Y.M.; ReFaey, K.; Tripathi, P.; Quinones-Hinojosa, A. Intraoperative Seizures in Awake Craniotomy for Perirolandic Glioma Resections That Undergo Cortical Mapping. J. Neurol. Surg. A Cent. Eur. Neurosurg. 2018, 79, 239–246. [Google Scholar] [CrossRef]
  44. Motomura, K.; Natsume, A.; Iijima, K.; Kuramitsu, S.; Fujii, M.; Yamamoto, T.; Maesawa, S.; Sugiura, J.; Wakabayashi, T. Surgical Benefits of Combined Awake Craniotomy and Intraoperative Magnetic Resonance Imaging for Gliomas Associated with Eloquent Areas. J. Neurosurg. 2017, 127, 790–797. [Google Scholar] [CrossRef]
  45. Saito, T.; Muragaki, Y.; Tamura, M.; Maruyama, T.; Nitta, M.; Tsuzuki, S.; Fukuchi, S.; Ohashi, M.; Kawamata, T. Awake Craniotomy with Transcortical Motor Evoked Potential Monitoring for Resection of Gliomas in the Precentral Gyrus: Utility for Predicting Motor Function. J. Neurosurg. 2019, 132, 987–997. [Google Scholar] [CrossRef] [Green Version]
  46. Magill, S.T.; Han, S.J.; Li, J.; Berger, M.S. Resection of Primary Motor Cortex Tumors: Feasibility and Surgical Outcomes. J. Neurosurg. 2018, 129, 961–972. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Brown, T.; Shah, A.H.; Bregy, A.; Shah, N.H.; Thambuswamy, M.; Barbarite, E.; Fuhrman, T.; Komotar, R.J. Awake Craniotomy for Brain Tumor Resection: The Rule Rather than the Exception? J. Neurosurg. Anesth. 2013, 25, 240–247. [Google Scholar] [CrossRef]
  48. Gerritsen, J.K.W.; Viëtor, C.L.; Rizopoulos, D.; Schouten, J.W.; Klimek, M.; Dirven, C.M.F.; Vincent, A.J.-P.E. Awake Craniotomy versus Craniotomy under General Anesthesia without Surgery Adjuncts for Supratentorial Glioblastoma in Eloquent Areas: A Retrospective Matched Case-Control Study. Acta Neurochir. 2019, 161, 307–315. [Google Scholar] [CrossRef]
  49. Li, Y.; Rey-Dios, R.; Roberts, D.W.; Valdés, P.A.; Cohen-Gadol, A.A. Intraoperative Fluorescence-Guided Resection of High-Grade Gliomas: A Comparison of the Present Techniques and Evolution of Future Strategies. World Neurosurg. 2014, 82, 175–185. [Google Scholar] [CrossRef]
  50. Zeppa, P.; De Marco, R.; Monticelli, M.; Massara, A.; Bianconi, A.; Di Perna, G.; Greco Crasto, S.; Cofano, F.; Melcarne, A.; Lanotte, M.M.; et al. Fluorescence-Guided Surgery in Glioblastoma: 5-ALA, SF or Both? Differences between Fluorescent Dyes in 99 Consecutive Cases. Brain Sci. 2022, 12, 555. [Google Scholar] [CrossRef]
  51. Nabavi, A.; Thurm, H.; Zountsas, B.; Pietsch, T.; Lanfermann, H.; Pichlmeier, U.; Mehdorn, M.; 5-ALA Recurrent Glioma Study Group. Five-Aminolevulinic Acid for Fluorescence-Guided Resection of Recurrent Malignant Gliomas: A Phase Ii Study. Neurosurgery 2009, 65, 1070–1076; discussion 1076–1077. [Google Scholar] [CrossRef] [PubMed]
  52. Díez Valle, R.; Tejada Solis, S.; Idoate Gastearena, M.A.; García de Eulate, R.; Domínguez Echávarri, P.; Aristu Mendiroz, J. Surgery Guided by 5-Aminolevulinic Fluorescence in Glioblastoma: Volumetric Analysis of Extent of Resection in Single-Center Experience. J. Neurooncol. 2011, 102, 105–113. [Google Scholar] [CrossRef] [PubMed]
  53. Stummer, W.; Pichlmeier, U.; Meinel, T.; Wiestler, O.D.; Zanella, F.; Reulen, H.-J.; ALA-Glioma Study Group. Fluorescence-Guided Surgery with 5-Aminolevulinic Acid for Resection of Malignant Glioma: A Randomised Controlled Multicentre Phase III Trial. Lancet Oncol. 2006, 7, 392–401. [Google Scholar] [CrossRef]
  54. Koc, K.; Anik, I.; Cabuk, B.; Ceylan, S. Fluorescein Sodium-Guided Surgery in Glioblastoma Multiforme: A Prospective Evaluation. Br. J. Neurosurg. 2008, 22, 99–103. [Google Scholar] [CrossRef]
  55. Neira, J.A.; Ung, T.H.; Sims, J.S.; Malone, H.R.; Chow, D.S.; Samanamud, J.L.; Zanazzi, G.J.; Guo, X.; Bowden, S.G.; Zhao, B.; et al. Aggressive Resection at the Infiltrative Margins of Glioblastoma Facilitated by Intraoperative Fluorescein Guidance. J. Neurosurg. 2017, 127, 111–122. [Google Scholar] [CrossRef] [Green Version]
  56. Acerbi, F.; Broggi, M.; Schebesch, K.-M.; Höhne, J.; Cavallo, C.; De Laurentis, C.; Eoli, M.; Anghileri, E.; Servida, M.; Boffano, C.; et al. Fluorescein-Guided Surgery for Resection of High-Grade Gliomas: A Multicentric Prospective Phase II Study (FLUOGLIO). Clin. Cancer Res. 2018, 24, 52–61. [Google Scholar] [CrossRef] [Green Version]
  57. Widhalm, G.; Kiesel, B.; Woehrer, A.; Traub-Weidinger, T.; Preusser, M.; Marosi, C.; Prayer, D.; Hainfellner, J.A.; Knosp, E.; Wolfsberger, S. 5-Aminolevulinic Acid Induced Fluorescence Is a Powerful Intraoperative Marker for Precise Histopathological Grading of Gliomas with Non-Significant Contrast-Enhancement. PLoS ONE 2013, 8, e76988. [Google Scholar] [CrossRef] [Green Version]
  58. Widhalm, G.; Wolfsberger, S.; Minchev, G.; Woehrer, A.; Krssak, M.; Czech, T.; Prayer, D.; Asenbaum, S.; Hainfellner, J.A.; Knosp, E. 5-Aminolevulinic Acid Is a Promising Marker for Detection of Anaplastic Foci in Diffusely Infiltrating Gliomas with Nonsignificant Contrast Enhancement. Cancer 2010, 116, 1545–1552. [Google Scholar] [CrossRef]
  59. Chan, D.T.M.; Yi-Pin Sonia, H.; Poon, W.S. 5-Aminolevulinic Acid Fluorescence Guided Resection of Malignant Glioma: Hong Kong Experience. Asian J. Surg. 2018, 41, 467–472. [Google Scholar] [CrossRef]
  60. Chen, B.; Wang, H.; Ge, P.; Zhao, J.; Li, W.; Gu, H.; Wang, G.; Luo, Y.; Chen, D. Gross Total Resection of Glioma with the Intraoperative Fluorescence-Guidance of Fluorescein Sodium. Int. J. Med. Sci. 2012, 9, 708–714. [Google Scholar] [CrossRef]
  61. Diaz, R.J.; Dios, R.R.; Hattab, E.M.; Burrell, K.; Rakopoulos, P.; Sabha, N.; Hawkins, C.; Zadeh, G.; Rutka, J.T.; Cohen-Gadol, A.A. Study of the Biodistribution of Fluorescein in Glioma-Infiltrated Mouse Brain and Histopathological Correlation of Intraoperative Findings in High-Grade Gliomas Resected under Fluorescein Fluorescence Guidance. J. Neurosurg. 2015, 122, 1360–1369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Catapano, G.; Sgulò, F.G.; Seneca, V.; Lepore, G.; Columbano, L.; di Nuzzo, G. Fluorescein-Guided Surgery for High-Grade Glioma Resection: An Intraoperative “Contrast-Enhancer”. World Neurosurg. 2017, 104, 239–247. [Google Scholar] [CrossRef]
  63. Francaviglia, N.; Iacopino, D.G.; Costantino, G.; Villa, A.; Impallaria, P.; Meli, F.; Maugeri, R. Fluorescein for Resection of High-Grade Gliomas: A Safety Study Control in a Single Center and Review of the Literature. Surg. Neurol. Int. 2017, 8, 145. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Teixidor, P.; Arráez, M.Á.; Villalba, G.; Garcia, R.; Tardáguila, M.; González, J.J.; Rimbau, J.; Vidal, X.; Montané, E. Safety and Efficacy of 5-Aminolevulinic Acid for High Grade Glioma in Usual Clinical Practice: A Prospective Cohort Study. PLoS ONE 2016, 11, e0149244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Schwake, M.; Stummer, W.; Suero Molina, E.J.; Wölfer, J. Simultaneous Fluorescein Sodium and 5-ALA in Fluorescence-Guided Glioma Surgery. Acta Neurochir. 2015, 157, 877–879. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Zhao, S.; Wu, J.; Wang, C.; Liu, H.; Dong, X.; Shi, C.; Shi, C.; Liu, Y.; Teng, L.; Han, D.; et al. Intraoperative Fluorescence-Guided Resection of High-Grade Malignant Gliomas Using 5-Aminolevulinic Acid-Induced Porphyrins: A Systematic Review and Meta-Analysis of Prospective Studies. PLoS ONE 2013, 8, e63682. [Google Scholar] [CrossRef]
  67. Yamada, S.; Muragaki, Y.; Maruyama, T.; Komori, T.; Okada, Y. Role of Neurochemical Navigation with 5-Aminolevulinic Acid during Intraoperative MRI-Guided Resection of Intracranial Malignant Gliomas. Clin. Neurol. Neurosurg. 2015, 130, 134–139. [Google Scholar] [CrossRef] [Green Version]
  68. Maesawa, S.; Fujii, M.; Nakahara, N.; Watanabe, T.; Wakabayashi, T.; Yoshida, J. Intraoperative Tractography and Motor Evoked Potential (MEP) Monitoring in Surgery for Gliomas around the Corticospinal Tract. World Neurosurg. 2010, 74, 153–161. [Google Scholar] [CrossRef]
  69. Maldaun, M.V.C.; Khawja, S.N.; Levine, N.B.; Rao, G.; Lang, F.F.; Weinberg, J.S.; Tummala, S.; Cowles, C.E.; Ferson, D.; Nguyen, A.-T.; et al. Awake Craniotomy for Gliomas in a High-Field Intraoperative Magnetic Resonance Imaging Suite: Analysis of 42 Cases. J. Neurosurg. 2014, 121, 810–817. [Google Scholar] [CrossRef]
  70. Zhuang, D.-X.; Wu, J.-S.; Yao, C.-J.; Qiu, T.-M.; Lu, J.-F.; Zhu, F.-P.; Xu, G.; Zhu, W.; Zhou, L.-F. Intraoperative Multi-Information-Guided Resection of Dominant-Sided Insular Gliomas in a 3-T Intraoperative Magnetic Resonance Imaging Integrated Neurosurgical Suite. World Neurosurg. 2016, 89, 84–92. [Google Scholar] [CrossRef]
  71. Ghinda, D.; Zhang, N.; Lu, J.; Yao, C.-J.; Yuan, S.; Wu, J.-S. Contribution of Combined Intraoperative Electrophysiological Investigation with 3-T Intraoperative MRI for Awake Cerebral Glioma Surgery: Comprehensive Review of the Clinical Implications and Radiological Outcomes. Neurosurg. Focus 2016, 40, E14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Leuthardt, E.C.; Lim, C.C.H.; Shah, M.N.; Evans, J.A.; Rich, K.M.; Dacey, R.G.; Tempelhoff, R.; Chicoine, M.R. Use of Movable High-Field-Strength Intraoperative Magnetic Resonance Imaging with Awake Craniotomies for Resection of Gliomas: Preliminary Experience. Neurosurgery 2011, 69, 194–205; discussion 205-206. [Google Scholar] [CrossRef] [PubMed]
  73. Lu, J.; Wu, J.; Yao, C.; Zhuang, D.; Qiu, T.; Hu, X.; Zhang, J.; Gong, X.; Liang, W.; Mao, Y.; et al. Awake Language Mapping and 3-Tesla Intraoperative MRI-Guided Volumetric Resection for Gliomas in Language Areas. J. Clin. Neurosci. 2013, 20, 1280–1287. [Google Scholar] [CrossRef] [PubMed]
  74. White, T.; Zavarella, S.; Jarchin, L.; Nardi, D.; Schaffer, S.; Schulder, M. Combined Brain Mapping and Compact Intraoperative MRI for Brain Tumor Resection. Stereotact. Funct. Neurosurg. 2018, 96, 172–181. [Google Scholar] [CrossRef] [PubMed]
  75. Whiting, B.B.; Lee, B.S.; Mahadev, V.; Borghei-Razavi, H.; Ahuja, S.; Jia, X.; Mohammadi, A.M.; Barnett, G.H.; Angelov, L.; Rajan, S.; et al. Combined Use of Minimal Access Craniotomy, Intraoperative Magnetic Resonance Imaging, and Awake Functional Mapping for the Resection of Gliomas in 61 Patients. J. Neurosurg. 2019, 132, 159–167. [Google Scholar] [CrossRef]
  76. Peruzzi, P.; Bergese, S.D.; Viloria, A.; Puente, E.G.; Abdel-Rasoul, M.; Chiocca, E.A. A Retrospective Cohort-Matched Comparison of Conscious Sedation versus General Anesthesia for Supratentorial Glioma Resection. Clinical Article. J. Neurosurg. 2011, 114, 633–639. [Google Scholar] [CrossRef]
  77. Tuominen, J.; Yrjänä, S.; Ukkonen, A.; Koivukangas, J. Awake Craniotomy May Further Improve Neurological Outcome of Intraoperative MRI-Guided Brain Tumor Surgery. Acta Neurochir. 2013, 155, 1805–1812. [Google Scholar] [CrossRef]
  78. Roder, C.; Bisdas, S.; Ebner, F.H.; Honegger, J.; Naegele, T.; Ernemann, U.; Tatagiba, M. Maximizing the Extent of Resection and Survival Benefit of Patients in Glioblastoma Surgery: High-Field IMRI versus Conventional and 5-ALA-Assisted Surgery. Eur. J. Surg. Oncol. 2014, 40, 297–304. [Google Scholar] [CrossRef]
  79. Coburger, J.; Hagel, V.; Wirtz, C.R.; König, R. Surgery for Glioblastoma: Impact of the Combined Use of 5-Aminolevulinic Acid and Intraoperative MRI on Extent of Resection and Survival. PLoS ONE 2015, 10, e0131872. [Google Scholar] [CrossRef] [Green Version]
  80. Schatlo, B.; Fandino, J.; Smoll, N.R.; Wetzel, O.; Remonda, L.; Marbacher, S.; Perrig, W.; Landolt, H.; Fathi, A.-R. Outcomes after Combined Use of Intraoperative MRI and 5-Aminolevulinic Acid in High-Grade Glioma Surgery. Neuro Oncol. 2015, 17, 1560–1567. [Google Scholar] [CrossRef]
  81. Feigl, G.C.; Ritz, R.; Moraes, M.; Klein, J.; Ramina, K.; Gharabaghi, A.; Krischek, B.; Danz, S.; Bornemann, A.; Liebsch, M.; et al. Resection of Malignant Brain Tumors in Eloquent Cortical Areas: A New Multimodal Approach Combining 5-Aminolevulinic Acid and Intraoperative Monitoring. J. Neurosurg. 2010, 113, 352–357. [Google Scholar] [CrossRef] [PubMed]
  82. Tsugu, A.; Ishizaka, H.; Mizokami, Y.; Osada, T.; Baba, T.; Yoshiyama, M.; Nishiyama, J.; Matsumae, M. Impact of the Combination of 5-Aminolevulinic Acid-Induced Fluorescence with Intraoperative Magnetic Resonance Imaging-Guided Surgery for Glioma. World Neurosurg. 2011, 76, 120–127. [Google Scholar] [CrossRef] [PubMed]
  83. Della Puppa, A.; De Pellegrin, S.; d’Avella, E.; Gioffrè, G.; Rossetto, M.; Gerardi, A.; Lombardi, G.; Manara, R.; Munari, M.; Saladini, M.; et al. 5-Aminolevulinic Acid (5-ALA) Fluorescence Guided Surgery of High-Grade Gliomas in Eloquent Areas Assisted by Functional Mapping. Our Experience and Review of the Literature. Acta Neurochir. 2013, 155, 965–972; discussion 972. [Google Scholar] [CrossRef] [PubMed]
  84. Pichierri, A.; Bradley, M.; Iyer, V. Intraoperative Magnetic Resonance Imaging-Guided Glioma Resections in Awake or Asleep Settings and Feasibility in the Context of a Public Health System. World Neurosurg. X 2019, 3, 100022. [Google Scholar] [CrossRef]
  85. Morin, F.; Courtecuisse, H.; Reinertsen, I.; Le Lann, F.; Palombi, O.; Payan, Y.; Chabanas, M. Brain-Shift Compensation Using Intraoperative Ultrasound and Constraint-Based Biomechanical Simulation. Med. Image Anal. 2017, 40, 133–153. [Google Scholar] [CrossRef] [Green Version]
  86. Prada, F.; Bene, M.D.; Fornaro, R.; Vetrano, I.G.; Martegani, A.; Aiani, L.; Sconfienza, L.M.; Mauri, G.; Solbiati, L.; Pollo, B.; et al. Identification of Residual Tumor with Intraoperative Contrast-Enhanced Ultrasound during Glioblastoma Resection. Neurosurg. Focus 2016, 40, E7. [Google Scholar] [CrossRef] [Green Version]
  87. Neidert, M.C.; Hostettler, I.C.; Burkhardt, J.-K.; Mohme, M.; Held, U.; Kofmehl, R.; Eisele, G.; Woernle, C.M.; Regli, L.; Bozinov, O. The Influence of Intraoperative Resection Control Modalities on Survival Following Gross Total Resection of Glioblastoma. Neurosurg. Rev. 2016, 39, 401–409. [Google Scholar] [CrossRef]
  88. Freudiger, C.W.; Min, W.; Saar, B.G.; Lu, S.; Holtom, G.R.; He, C.; Tsai, J.C.; Kang, J.X.; Xie, X.S. Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy. Science 2008, 322, 1857–1861. [Google Scholar] [CrossRef] [Green Version]
  89. Ji, M.; Orringer, D.A.; Freudiger, C.W.; Ramkissoon, S.; Liu, X.; Lau, D.; Golby, A.J.; Norton, I.; Hayashi, M.; Agar, N.Y.R.; et al. Rapid, Label-Free Detection of Brain Tumors with Stimulated Raman Scattering Microscopy. Sci. Transl. Med. 2013, 5, 201ra119. [Google Scholar] [CrossRef] [Green Version]
  90. Ji, M.; Lewis, S.; Camelo-Piragua, S.; Ramkissoon, S.H.; Snuderl, M.; Venneti, S.; Fisher-Hubbard, A.; Garrard, M.; Fu, D.; Wang, A.C.; et al. Detection of Human Brain Tumor Infiltration with Quantitative Stimulated Raman Scattering Microscopy. Sci. Transl. Med. 2015, 7, 309ra163. [Google Scholar] [CrossRef]
  91. Garzon-Muvdi, T.; Kut, C.; Li, X.; Chaichana, K.L. Intraoperative Imaging Techniques for Glioma Surgery. Future Oncol. 2017, 13, 1731–1745. [Google Scholar] [CrossRef] [PubMed]
  92. Gravesteijn, B.Y.; Keizer, M.E.; Vincent, A.J.P.E.; Schouten, J.W.; Stolker, R.J.; Klimek, M. Awake Craniotomy versus Craniotomy under General Anesthesia for the Surgical Treatment of Insular Glioma: Choices and Outcomes. Neurol. Res. 2018, 40, 87–96. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Krieg, S.M.; Shiban, E.; Droese, D.; Gempt, J.; Buchmann, N.; Pape, H.; Ryang, Y.-M.; Meyer, B.; Ringel, F. Predictive Value and Safety of Intraoperative Neurophysiological Monitoring with Motor Evoked Potentials in Glioma Surgery. Neurosurgery 2012, 70, 1060–1070; discussion 1070-1071. [Google Scholar] [CrossRef] [PubMed]
  94. Przybylowski, C.J.; Hervey-Jumper, S.L.; Sanai, N. Surgical Strategy for Insular Glioma. J. Neurooncol. 2021, 151, 491–497. [Google Scholar] [CrossRef]
  95. Jaber, M.; Wölfer, J.; Ewelt, C.; Holling, M.; Hasselblatt, M.; Niederstadt, T.; Zoubi, T.; Weckesser, M.; Stummer, W. The Value of 5-Aminolevulinic Acid in Low-Grade Gliomas and High-Grade Gliomas Lacking Glioblastoma Imaging Features: An Analysis Based on Fluorescence, Magnetic Resonance Imaging, 18F-Fluoroethyl Tyrosine Positron Emission Tomography, and Tumor Molecular Factors. Neurosurgery 2016, 78, 401–411; discussion 411. [Google Scholar] [CrossRef] [Green Version]
  96. Lau, D.; Hervey-Jumper, S.L.; Chang, S.; Molinaro, A.M.; McDermott, M.W.; Phillips, J.J.; Berger, M.S. A Prospective Phase II Clinical Trial of 5-Aminolevulinic Acid to Assess the Correlation of Intraoperative Fluorescence Intensity and Degree of Histologic Cellularity during Resection of High-Grade Gliomas. J. Neurosurg. 2016, 124, 1300–1309. [Google Scholar] [CrossRef] [Green Version]
  97. Cho, S.S.; Salinas, R.; Lee, J.Y.K. Indocyanine-Green for Fluorescence-Guided Surgery of Brain Tumors: Evidence, Techniques, and Practical Experience. Front. Surg. 2019, 6, 11. [Google Scholar] [CrossRef] [Green Version]
  98. Yashin, K.; Bonsanto, M.M.; Achkasova, K.; Zolotova, A.; Wael, A.-M.; Kiseleva, E.; Moiseev, A.; Medyanik, I.; Kravets, L.; Huber, R.; et al. OCT-Guided Surgery for Gliomas: Current Concept and Future Perspectives. Diagnostics 2022, 12, 335. [Google Scholar] [CrossRef]
  99. Dasenbrock, H.H.; See, A.P.; Smalley, R.J.; Bi, W.L.; Dolati, P.; Frerichs, K.U.; Golby, A.J.; Chiocca, E.A.; Aziz-Sultan, M.A. Frameless Stereotactic Navigation during Insular Glioma Resection Using Fusion of Three-Dimensional Rotational Angiography and Magnetic Resonance Imaging. World Neurosurg. 2019, 126, 322–330. [Google Scholar] [CrossRef]
  100. Shalan, M.E.; Soliman, A.Y.; Nassar, I.A.; Alarabawy, R.A. Surgical Planning in Patients with Brain Glioma Using Diffusion Tensor MR Imaging and Tractography. Egypt. J. Radiol. Nucl. Med. 2021, 52, 110. [Google Scholar] [CrossRef]
Cancers 14 05705 g001 550
Figure 1. PRISMA flow of the systematic review.
Figure 1. PRISMA flow of the systematic review.
Cancers 14 05705 g001
Table
Table 1. Studies investigating the role of intraoperative MRI in improving the extent of resection.
Table 1. Studies investigating the role of intraoperative MRI in improving the extent of resection.
Study (Years)Study PeriodStudy DesignTumorsHistologyLocationExtent of ResectionOverall Survival Complications
Coburger et al. (2017) [15]2008–2013Retrospective62GBMNon-specificEOR 78 ± 4.0%-9 (27%) complications
2 (6%) CSF leak,
2 (6%) bleeding,
3 (9%) ischemia,
1 (3%) infection
1 (3%) hydrocephalus
Scherer et al. (2016) [16]2011–2014Prospective224141 (62.9%) GBM, 83 (37.1%) lower-grade gliomasFrontal, temporal, parietal, occipital, intraventricular 70% underwent additional resection after iMRI-15 (6.7%) permanent neurological deficits
Kuhnt et al. (2011) [17]2002–2008Retrospective135GBMSupratentorialResidual tumor in 88 patients. Further resection was performed in 19 patients.
GTR for 9 patients increased from 47 (34.8%) to 56 (41.5%) patients.		Mean OS in patients with GTR (EOR > 98%) = 14 months compared to 9 months in EOR < 98%)1 (0.7%) permanent language deficit
Senft et al. (2011) [18]2007–2010Prospective4946 (93.9%) GBM, 3 (6.1%) lower-grade gliomasNon-specificGTR 23/24 (96%) in the iMRI group, and 17/25 (68%) in the control group.Median PFS: 226 days (95% CI 0–454) in the iMRI group and 154 days (60–248) in the conventional group5 (10.2%) permanent neurological deficits
Hatiboglu et al. (2009) [19]2006–2007Prospective4629 (63.0%) GBM, 17 (37.0%) lower-grade gliomasNon-specificEOR increased from 76% (range, 35%-97%) to 96% (range, 48%-100%)
29 patients had GTR, 15 (52%) due to iMRI		-4/46 (9%) permanent neurological deficits (3 hemiparesis and 1 visual deficit)
Kubben et al. (2014) [20]2010–2012Prospective14GBMSupratentorialResidual tumor volume: control group median IQR (6.5%, 2.5–14.75%), iMRI group (13%, 3.75–27.75%)iMRI: median (IQR) = 396 (191–599) days, control: 472 (244–619) days -
Shah et al. (2020) [21]1996–2008Retrospective640GBMNon-specificAdditional resection was performed in 104/122 with STR after iMRI, Median OS was 17.0 months for patients with and without iMRI. iMRI was not associated with increased OSUse of iMRI was not associated with increased rate of new permanent neurological deficit
Table
Table 2. (A–C) Studies investigating the role of intraoperative mapping through awake and general anesthesia monitoring in improving the extent of resection: (A) general anesthesia; (B) awake craniotomy; (C) general anesthesia and awake craniotomy.
Table 2. (A–C) Studies investigating the role of intraoperative mapping through awake and general anesthesia monitoring in improving the extent of resection: (A) general anesthesia; (B) awake craniotomy; (C) general anesthesia and awake craniotomy.
Study (Years)Study PeriodStudy DesignTumorsHistologyLocationMappingExtent of ResectionOverall Survival Complications
(A): General Anesthesia
Gogos et al. (2020) [19]2018–2019Prospective5837 (62.7%) GBM,
21 (37.3%) lower-grade gliomas		Frontal, temporal, parietal, insula GAMedian EOR 98.0%-2 (3.4%) permanent neurological deficits
Schucht et al. (2014) [32]2010–2014Retrospective67GBMProximity to corticospinal tractGAComplete resection in 49/67 (73%)-3 (4%) persisting postoperative motor deficits
Duffau et al. (2005) [38]1985–1996 and 1996–2003Retrospective222Lower-grade gliomasEloquent areas122 (54.9%) GATotal resection: GA monitoring 31 (25.4%), no GA monitoring 6 (6%)Survival: in GA monitoring: 11 (9.0%), non-GA monitoring: 43 (43%) -
(B): Awake Craniotomy
Motomura et al. (2021) [27]2012–2020Retrospective126Lower-grade gliomasFrontal, insular, temporal, parietal, occipital ACMedian EOR 93.1%
>100% (=supratotal resection) 15 (11.9%)
100% (=gross total resection) 32 (25.4%)
≥90%, <100% (=subtotal resection) 27 (21.4%)
<90% (=partial resection) 52 (41.3%)		-5 (4.0%) permanent speech disturbance
9 (7.1%) permanent motor disturbance
Burks et al. (2017) [30]2012–2015Retrospective1511 (73%) GBM,
4 (26%) lower-grade gliomas		Non-specificAC100% (GTR) 12 (80%)
90%–99% (NTR)1 (7%)
70%–89% (STR) 2 (13%)		4 died (26.6%)1 (7%) abulia
1 (7%) hemorrhage
1 (7%) Infection
Clavreul et al. (2021) [33]2004–2019Retrospective46GBMNon-specificACComplete resection in 28 (61%)Median PFS was 6.8 months (CI 6.1; 9.7) and median OS was 17.6 months (CI 14.8; 34.1). 3 (6.5%) new motor deficits
Alimohamadi et al. (2016) [37]2015–2016Retrospective103 (30%) GBM,
7 (70%) lower-grade gliomas		Non-specificAC73–100% EOR-1 (10%) deteriorated aphasia
Martino et al. (2013) [39]2009–2011Retrospective22Lower-grade gliomasSMA, premotor, posterior temporal11 (50%) ACWith monitoring: EOR (%) 91.7%, GTR 5 (45.5%), NTR 4 (36.4%), STR 2 (18.2%)
without monitoring: EOR (%) 48.7%, GTR 0, NTR 4 (36.4%), STR 7 (63.6%), 		5.3 years (3.5–7) monitoring 3.7 years (3.5–4) no monitoring1 (9.1%) in AC (mild dysphasia), and 5 (45.5%) in
no monitoring group (4 dysphasia, 3 hemiparesis).
Schucht et al. (2013) [42]2007–2010Retrospective64Lower-grade gliomasCentral, frontalACMedian EOR 92% (range 80–97%)-3 (9.1%) in central and 2 (6.5%) in frontal
Saito et al. (2019) [45]2000–2018Retrospective303 (10.0%) GBM,
27 (90%) low-grade gliomas		Precentral gyrusACEOR, Mean 93% (range = 75–100)-8 (26.6%) motor decline
Motomura et al. (2017) [44]2012–2014Retrospective334 (12.1%) GBM,
29 (87.9%) lower-grade gliomas		Frontal, insular, parietal, temporal, occipitalACEOR ≥ 90% 15 (45.5%), <90% 18 (54.5%)
increased rate of EOR due to iMRI in 16 patients by mean (SD) 15.8 (12.2)		-3 (9.0%) permanent neurological deficits
Eseonu et al. (2018) [43]2015–2016Retrospective5717 (29.8) GBM,
40 (70.2%) low-grade gliomas		Peri-Rolandic motor areaAC (33 positive mapping (PM), 24 negative mapping (NM)) EOR 87.8% (7.1%) in positive monitoring, 92.4 (9.4%) in NM
HG, positive monitoring: 85.7 (9.4%),
HG, negative monitoring: 90.7 (10.2%).
LG, positive monitoring: 90.8 (10.4%),
LG, negative monitoring: 97.0 (5.2%)		-3 (9.2%) in PM
(C): General Anesthesia and Awake Craniotomy
Morsy et al. (2021) [28]2014–2019Retrospective6426 (40.6%) GBM,
48 (59.4%) lower-grade gliomas		Peri-Rolandic40 (62.5%) AC, 24 (37.5%) GAAC: EOR mean (SD) 92.03 (3.1)
GTR > 98% 18 (45%)
NTR > 90–98 14 (35%)
STR 50–90% 8 (20%)
GA: EOR, mean (SD) 90.05 (3.9)
GTR > 98% 7 (29.2%)
NTR > 90–98 8 (33.3%)
STR 50–90% 9 (37.5%)		-AC: 2 (5%), GA: 2 (8.3%) permanent neuro deficit
Nossek et al. (2011) [31]2007–2009Retrospective5522 (40%) GBM,
33 (60%) lower-grade gliomas		Frontal, parietal, temporal 35 (63.7%) AC, 20 (36.3%) GAGTR 39 (71%)
STR 16 (29%)		-7 (12.7%) patients had varying degrees of permanent motor deficits
Rossi et al. (2021) [34]2018–2019Retrospective135High-grade gliomas 73 (35%), low-grade gliomas 48 (54%)Peri-Rolandic66 (49%) AC, 69 (51%) GA 95% mean EOR (94% vs. 96% AC)--
2018–2019Prospective52High-grade gliomas 16 (31%), low-grade gliomas 34 (65%)Peri-Rolandic35 (67%) AC, 17 (33%) GA97% mean EOR in both AC and sleep--
Giamouriadis et al. (2020) [35]2017Prospective4826 (56.5%) GBM,
32 (43.5%) lower-grade gliomas		Frontal, insular, temporal, parietal, occipital. 16 (33.3%) AC, 32 (66.6%) GA GA: GTR 27 (84.3%) STR 1 (3.1%) near GTR 3 (9.3%)
AC: STR 0 near GTR 4 (25%) GTR 12 (75%)		-GA: 1 (3.1%) permanent deficit
AC: 2 (12.5%) permanent deficits
Eseonu et al. (2017) [47]2005–2015Retrospective5811 (18.9%) GBM,
47 (81.1%) lower-grade gliomas		Peri-Rolandic27 (46.5%) AC, 31 (53.4%) GAAC: mean (SD) EOR 86.3% (20.5%), GA: mean (SD) EOR 79.6% (23.1%)--
Li et al. (2021) [48]2008–2019Retrospective109GBMPrimary motor cortex, primary sensory cortex, premotor cortex, language cortex48 (44.0) AC, 61 (55.9%) GAGA: mean (SD) EOR: 90.2% (7.44)
Gross total (>95%), 28 (45.9)
Subtotal (85–95%), 18 (29.5)
AC:
EOR: mean (SD) EOR: 94.9% (5.73)
Gross total (>95%), 40 (83.3)
Subtotal (85–95%), 6 (12.5)
Partial (< 85%), 2 (4.2)
Partial (< 85%), 15 (24.6) 		AC: mean PFS 23.2 months
mean OS 28.1 months
GA: mean PFS was 18.9 months
mean OS 23.4 months 		Permanent motor 3 (9.7%) in AC vs. 3 (11.1%) in GA
language deficit: 2 (6.5%) in AC vs. 4 (14.8%) in GA
Sacko et al. (2011) [40]2002–2007Prospective575120 GBM, 455 lower-grade gliomasFrontal, temporal, parietal, occipital214 (37.2%) AC, 316 (62.8%) GA AC: 37% total, 45% subtotal. GA 52% total, 34% subtotal-Permanent neurological deficit: AC 20 (9.3%), and GA: 26 (8.2%)
Skrap et al. (2012) [41]2000–2010Retrospective66Lower-grade gliomasInsular46 (69.9%) AC, 23 (30.1%) GAMedian EOR 80%
EOR 90%, n = 22 (33.3%)
EOR 70%-90%, n = 30 (45.4%)
EOR 70%, n = 14 (21.2%)		-4 (6%) permanent deficits
Magill et al. (2018) [46]1998–2016Retrospective4915 (28.3) GBM, 34 low-grade gliomasPrimary motor cortex34 (64.2%) AC, 19 (35.8%) GAGTR 27 (50.9%)
STR 26 (49.1%)
Mean EOR 91% (range = 41–100)		-20 (37.7%) permanent deficits
Table
Table 3. (A–C) Studies investigating the role of intraoperative 5-ALA and sodium fluorescein in improving the extent of resection: (A) fluorescein sodium; (B) 5-ALA; (C) fluorescein sodium and 5-ALA.
Table 3. (A–C) Studies investigating the role of intraoperative 5-ALA and sodium fluorescein in improving the extent of resection: (A) fluorescein sodium; (B) 5-ALA; (C) fluorescein sodium and 5-ALA.
Study (Years)Study PeriodStudy DesignTumorsHistologyLocationModalityExtent of ResectionOverall Survival Complications
(A): Fluorescein sodium
Koc et al. (2008) [54]2003–2006Prospective80GBMNon-specific47 (58.7%) fluorescein sodium GTR: 39 (83%) fluorescein sodium vs. 18 (55%) in control group.No difference in median survival-
Neira et al. (2017) [55]2013–2014Retrospective32High-grade gliomas (3–4)Non-specificFluorescein sodium27 (84%) GTR--
Acerbi et al. (2018) [56]2011Prospective46High-grade gliomasNon-specificFluorescein sodium38 (82.6%) complete resectionsPFS-6 and PFS-12 were 56.6% and 15.2%. Median survival was 12 months-
Chen et al. (2012) [60]2010–2011Prospective103 (30%) GBM, 7 (70%) lower-grade gliomasNon-specificFluorescein sodium8/10 (80%) GTR7.2 PFS months vs. 5.4 in the control group1/12 (8.3%) permanent hemiplegia in the control group
Diaz et al. (2015) [61]-Prospective12GBMNon-specificFluorescein sodium12/12 (100%) GTR--
Catapano et al. (2017) [62]2016–2017Retrospective48GBMNon-specific23 (47.9%) fluorescein sodium19/23 (82.6%) GTR vs. 9/25 (36%) in the control group --
Francaviglia et al. (2017) [63]2015–2016Retrospective4733 (70.2%) GBM, 14 (29.8%) lower-grade gliomas Non-specificFluorescein sodium39/47 (83%)-6 (12.7%) hemorrhage with permanent hemiparesis
4 (8.5%) Seizures
1 (2.1%) Hydrocephalus
1 (2.1%) Sepsis
(B): 5-ALA
Stummer et al. (2006) [53]1999–2004Prospective322237 (73.6%) GBM, 85 (26.4%) lower-grade gliomasNon-specific139 (43.1%) 5-ALAGTR: 50 (36%) in 5-ALA group, 49 (27%) in the control group.6-month PFS: 5-ALA: 57 (41.0%) vs. 39 (21.1%) in controls. -
Nabavi et al. (2009) [51]2003–2005Prospective3621 (58.3%) GBM, 15 (41.7%) lower-grade gliomas Non-specific5-ALA7/36 (19.4%) GTR--
Diez Valle et al. (2011) [52]2007–2009Prospective36GBMNon-specific5-ALA30 (83.3%) complete resections PFS 6.5 months (95% CI 3.8–9.2) for newly diagnosed GBM, and 5.3 months (95% CI 4.4–6.2) for recurrent cases -
Widhalm et al. (2010) [58]2008–2009Prospective17Lower-grade gliomasFrontal, central, temporal, occipital, parietal, insular, thalamus5-ALA14/17 (82%) GTR--
Widhalm et al. (2013) [57]2008–2012Prospective59Lower-grade gliomasFrontal, central, temporal, occipital, parietal, insular, thalamus5-ALA38/59 (64%) GTR--
Chan et al. (2018) [59]2011–2016Retrospective1610 (62.5%) GBM, 6 (37.5%) lower-grade gliomasNon-specific5-ALA9/16 (56.2%) GTR--
Teixidor et al. (2016) [64]2010–2014Prospective7766 (85.7%) GBM, 11 (14.3%) lower-grade gliomasNon-specific5-ALA42 (54%) complete resectionsSix-month PFS in 45 (58%) and median
overall survival was 14.2 months		No serious adverse events were reported
(C): Fluorescein Sodium and 5-ALA
Zeppa et al. (2022) [50]2018–2021Retrospective99GBMPrecentral, postcentral, temporo-insular 40 (40.4%) 5-ALA, 44 (44.4%) fluorescein sodium, 15 (15.2%) bothTotal resection: 18/40 (45%%) 5-ALA, 21/44 (47.7%) in fluorescein sodium, and 6/15 (40%) in bothMean (SD) OS 14.9 (9.91) months.
mean OS in 5-ALA: 20 (16), SF: 12.3 (5.7), both 18.1 (11.9) months 		-
Table
Table 4. Studies investigating combined intraoperative modalities in improving the extent of resection.
Table 4. Studies investigating combined intraoperative modalities in improving the extent of resection.
Study (Years)Study PeriodStudy DesignTumorsHistologyLocationModalityExtent of ResectionOverall Survival Complications
Maldaun et al. (2014) [69]2010–2011Retrospective419 (21.4%) GBM, 33 (78.6%) lower-grade gliomasFrontal, temporal, parietal, insulariMRI + ACMedian EOR overall was 90%, and gross total resection
(EOR ≥ 95%) 17 (40.5%). After viewing the first MR images after initial resection, further resection was performed in 17 cases (40.5%); the mean EOR in these cases increased from 56% to 67% after further resection 		-Neurologic deficits 11 (26.2%)
Maesawa et al. (2010) [68]2007–2008Retrospective28Lower-grade gliomasProximity to corticospinal tractiMRI, intraoperative tractography mapping24 (85.7%) STR-1 (3.5%) permanent motor deficit
Zhuang et al. (2016) [70]2011–2013Retrospective306 (20%) GBM, 24 (80%) lower-grade gliomasDominant insular lobeiMRI, + AC or GA mappingiMRI increased resection from 90 to 93% in all cases, and 88% to 92% in low-grade gliomas. The use of iMRI also resulted in an increase in the percentage of gross and near-total resection from 53% to 77% -3 (11%) permanent language, 2 (7.1%) motor deficits
Ghinda et al. (2016) [71]2011–2015Retrospective10625 (23.6%) GBM, 81 (76.4%) lower-grade gliomasFrontal, parietal, temporal, insulariMRI, + ACMean EOR 92%, complete resection was achieved in 64 (60.4%). 30 (28.3%) patients underwent further resection after initial iMRI scanning, with 10.1% increase in mean EOR--
Leuthardt et al. (2011) [72]2008Retrospective123 (25%) GBM, 9 (75%) lower-grade gliomasEloquent areasiMRI, + AC5 (41.6%) GTR, 2 (16.6%) NTR, and 5 (41.6%) STR-1 (8.3%) with worse outcome
Lu et al. (2013) [73]2011Retrospective3011 (36.6%) high-grade gliomas, 19 (63.3%) low-grade gliomasEloquent areasiMRI, + GA mappingMedian EOR significantly increased from 92.5% (range, 75.1–97.0%) to 100% (range, 92.6–100%)
11 (36.6%) additional tumor removal		-1 (3.3%) permanent deficit
White (2018) [74]2001–2016Retrospective3617 (47.2%) GBM, 19 (52.7%) lower-grade gliomas Left hemisphereiMRI, + AC20 (55.6%) GTR, 19 (53%) further resections under iMRI-3 (8.3%) permanent deficits
Whiting et al. (2019) [75]2010–2017Retrospective6218 (29.0%) GBM, 43 (69.3%) lower-grade gliomasFrontal, temporal, parietal, insulariMRI, + AC41 (85.4%) had additional resection due to MRI. Median EOR 98.5%-2 (3.2%) residual speech difficulty, and 2 (3.2%) permanent weakness postoperatively
Peruzzi et al. (2011) [76]2006–2008Retrospective4428 (63.6%) GBM, 16 (36.3%) lower-grade gliomasFrontal, temporal, parietal, occipitaliMRI, + AC/GA mappingGTR in all patients--
Tuominen et al. (2013) [77]-Retrospective4010 (25%) GBM, 30 (75%) lower-grade gliomasFrontal, temporal, parietal20 (50%) iMRI + AC, 20 (50%) iMRIGTR: 10 (50%) iMRI + AC
11 (55%) iMRI		-1 (5%) permanent neurological deficit iMRI + AC
4 (20%) permanent neurological deficit iMRI
Roder et al. (2014) [78]2010–2012Retrospective117GBMNon-specific66 (56.4%) 5-ALA, 27 (23.0%) iMRI, 19 (16.2%) iMRI and 5-ALAiMRI EOR 53%, 5 ALA combined with iMRI increased EOR -11 (9.4%) permanent severe deficits
Coburger et al. (2015) [79]2012–2014Prospective116GBMNon-specific59 (50.8%) iMRI (Group 1), 57 (49.2%) 5-ALA and MRI (Group 2)mean EOR 97.4% (87–100) iMRI, 99.7% (97–100) iMRI + 5-ALA
GTR: 27 (82%) iMRI, 33 (100%) iMRI + 5-ALA		Median PFS (CI95%)Group 1: 6 months (2.4–9.6), Group 2: 6 months (4.6–7.4) OS (CI95%) Group 1: 17 months (7.6–26.4) Group 2: 18 (15.2–20.8)7 (21%) iMRI, 11 (27%) iMRI+ 5-ALA
Schatlo et al. (2015) [80]2003–2011Retrospective200166 (83%) GBM, 44 (17%) lower-grade gliomasNon-specific58 (29%) 5-ALA only, 55 (27.5%) iMRI + 5-ALA, 87 (43.5%) neither.5-ALA enhanced the achievement of gross total resection. GTR 25 (45%) with iMRI vs. 43 (30%) without iMRiMedian overall survival 13.8 months in the non-iMRI group and 17.9 months in the iMRI group, with no effect on PFS-
Feigl et al. (2010) [81]2007–2009Prospective3615 (41.6%) GBM, 21 (58.3%) lower-grade gliomasFrontal, temporal, parietal, insular, cerebellar5-ALA, GA mapping16/25 (64%) GTR-2 (1%) hemiparesis, and 1 (0.5%) homonymous hemianopia
Tsugu et al. (2011) [82]2005–2009Retrospective3320 (60.6%) GBM, 13 (39.4%) lower-grade gliomasNon-specific23 (69.6%) 5-ALA, 10 (30.4%) 5-ALA + MRIGTR:
6/11 (54.5%) 5-ALA only
4/10 (40%) 5-ALA + iMRI		--
Della Puppa et al. (2013) [83]2011–2012Prospective3125 (80.6%) GBM, 6 (19.4%) lower-grade gliomasInsular, frontal, temporal, language area5-ALA with GA (N = 25, 80.6%) or AC (N = 6, 19.4%) mappingGTR 23/31 (74%)-1 (3%) severe morbidity
Yamada et al. (2015) [67]2004–2007Prospective9967 (67.6%) GBM, 32 (32.4%) lower-grade gliomasNon-specific5-ALA + iMRIGTR 51/99 (52%)--
Pichierri et al. (2019) [84]2014–2018Retrospective9228 (30.5%) GBM, 64 (69.5%) lower-grade gliomasFrontal, temporal, occipital, parietal, insular, cerebellar26 (28.3%) iMRI (G1), 20 (21.7%) iMRI + AC (G2), 46 (50%) control (G3)Group 1: Grade 2 GTR 46%, Grade 3 GTR 57%, Grade 4 GTR 63%. Group 2: Grade 2 GTR 55%, Grade 3 GTR 66%, Grade 4 GTR 41%, Group 3: Grade 2 GTR 41%, Grade 3 GTR 30%, Grade 4 GTR 36%-Memory/cognition 1(4%) G1, 1(4%) G2, 5(10.8%) G3. Parietal syndrome 1 (5%) G2, Hemiparesis 2 (4.3%) G3, Dysphasia 2 (4.3%) G3
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chanbour, H.; Chotai, S. Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes. Cancers 2022, 14, 5705. https://doi.org/10.3390/cancers14225705

AMA Style

Chanbour H, Chotai S. Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes. Cancers. 2022; 14(22):5705. https://doi.org/10.3390/cancers14225705

Chicago/Turabian Style

Chanbour, Hani, and Silky Chotai. 2022. "Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes" Cancers 14, no. 22: 5705. https://doi.org/10.3390/cancers14225705

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop