Advances in In Vivo Quantitative and Qualitative Imaging Characterization of Gliomas

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2737

Special Issue Editors


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Guest Editor
Nuclear Medicine Unit, A.R.N.A.S. Ospedale Civico Di Cristina Benfratelli, 90127 Palermo, Italy
Interests: nuclear medicine; oncology; PET imaging; brain tumor
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Guest Editor
Neuro-Oncological Surgery Unit, Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
Interests: cerebral aneurysms; brain tumors; moyamoya; neuro-oncology; neuroprotection; peripheral nerves; subarachnoid hemorrhage
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Gliomas are the most common intra-axial primary tumors of the central nervous system arising from glial cells.

The current standard of care imaging on brain tumors relies heavily on conventional MRI. More advanced MR techniques, including perfusion and diffusion-weighted imaging, and spectroscopy, are increasingly utilized in clinical and research capacities to help predict tumor types.

PET imaging is an accurate tool for detecting areas of dedifferentiation in diffuse gliomas, differentiating pseudo-progression from real tumor progression, and in the follow-up of high-grade gliomas.

Other imaging modalities are under development for more accurate characterization of brain tumors during the surgery (intraoperative ultrasound) and to improve the structural evaluation of brain tumors (Optical coherence tomography).

In-Vivo quantification of morpho-functional imaging could be crucial for improving the diagnostic work-up and management of gliomas.

This Special Issue will focus on developing In-Vivo Quantitative and Qualitative Imaging (CT, OCT, MRI, PET/CT, PET/MR), also considering the novel application of Radiomics to improve the current role of imaging in the management of Gliomas.

We invite authors to submit contributions that provide novel findings or reviews that comprehensively highlight the latest discoveries in the field.

Dr. Pierpaolo Alongi
Dr. Ignazio Gaspare Vetrano
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • PET
  • PET/CT
  • PET/MR
  • MR
  • CT
  • OCT
  • US
  • gliomas
  • artificial intelligence
  • radiomics
  • in-vivo quantitative imaging

Published Papers (2 papers)

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Editorial

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2 pages, 185 KiB  
Editorial
Advances in the In Vivo Quantitative and Qualitative Imaging Characterization of Gliomas
by Pierpaolo Alongi and Ignazio Gaspare Vetrano
Cancers 2022, 14(14), 3324; https://doi.org/10.3390/cancers14143324 - 08 Jul 2022
Viewed by 965
Abstract
Gliomas are the most common and aggressive intra-axial primary tumours of the central nervous system (CNS), arising from glial cells [...] Full article

Review

Jump to: Editorial

13 pages, 258 KiB  
Review
Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review
by Pierpaolo Alongi, Annachiara Arnone, Viola Vultaggio, Alessandro Fraternali, Annibale Versari, Cecilia Casali, Gaspare Arnone, Francesco DiMeco and Ignazio Gaspare Vetrano
Cancers 2024, 16(2), 407; https://doi.org/10.3390/cancers16020407 - 18 Jan 2024
Viewed by 1218
Abstract
The lack of early detection and a high rate of recurrence/progression after surgery are defined as the most common causes of a very poor prognosis of Gliomas. The developments of quantification systems with special regards to artificial intelligence (AI) on medical images (CT, [...] Read more.
The lack of early detection and a high rate of recurrence/progression after surgery are defined as the most common causes of a very poor prognosis of Gliomas. The developments of quantification systems with special regards to artificial intelligence (AI) on medical images (CT, MRI, PET) are under evaluation in the clinical and research context in view of several applications providing different information related to the reconstruction of imaging, the segmentation of tissues acquired, the selection of features, and the proper data analyses. Different approaches of AI have been proposed as the machine and deep learning, which utilize artificial neural networks inspired by neuronal architectures. In addition, new systems have been developed using AI techniques to offer suggestions or make decisions in medical diagnosis, emulating the judgment of radiologist experts. The potential clinical role of AI focuses on the prediction of disease progression in more aggressive forms in gliomas, differential diagnosis (pseudoprogression vs. proper progression), and the follow-up of aggressive gliomas. This narrative Review will focus on the available applications of AI in brain tumor diagnosis, mainly related to malignant gliomas, with particular attention to the postoperative application of MRI and PET imaging, considering the current state of technical approach and the evaluation after treatment (including surgery, radiotherapy/chemotherapy, and prognostic stratification). Full article
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