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Diagnostics
Special Issues
Imaging of the Brain and Blood Vessels in Ischemic Stroke
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Imaging of the Brain and Blood Vessels in Ischemic Stroke

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 6743

Special Issue Editors

Prof. Dr. Dragos Catalin Jianu

E-Mail Website
Guest Editor
1. Head of the First Division of Neurology, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, Timisoara, E. Murgu Sq., no. 2, 300041 Timisoara, Romania
2. Head of the Centre for Cognitive Research in Neuropsychiatric Pathology (NeuroPsy-Cog), First Division of Neurology, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 156 L. Rebreanu Ave., 300723 Timisoara, Romania
3. Head of the First Department of Neurology, “Pius Branzeu” Clinical Emergency County Hospital, 156 L. Rebreanu Ave., 300723 Timisoara, Romania
Interests: ischemic stroke and extra and transcranial Doppler sonography; cerebral venous thrombosis, neuro-ophthalmology and color Doppler imaging of orbital vessels; vascular aphasias; vascular cognitive impairment; Parkinson’s disease
Special Issues, Collections and Topics in MDPI journals
Dr. Jean Claude Sadik

E-Mail Website1 Website2 Website3 Website4
Guest Editor
Head of the Service de Neuroradiologie diagnostique, Hôpital Fondation Rothschild, 29 rue Manin, 75019 Paris, France
Interests: stroke; cerebral venous thrombosis; neuro-ophthalmology; color doppler imaging of cerebral and orbital vessels; non invasive explorations of large arteries diseases/extra and transcranial Doppler sonography
Prof. Dr. Tihomir V. Ilić

E-Mail Website
Guest Editor
Dean at Medical Faculty of Military Medical Academy, Belgrade, Serbia
Interests: medical neurosciences; neuroimaging; Parkinson's disease; transcranial magnetic stimulation; cognitive neuroscience; neurorehabilitation

Special Issue Information

Dear Colleagues, 

Imaging of the brain and blood vessels is an essential step in the assessment of patients with suspected ischemic stroke. It determines the type and etiology of stroke. Imaging also provides information about the condition of the brain because it aids differentiate tissue that is damaged irreversibly from areas that still have the potential for recovery. The data of brain and blood vessels imaging can orient emergent and subsequent treatment and can help predict outcomes.

This Special Issue of Diagnostics (Impact Factor 3.992/2022 Journal Citation Reports) aims to provide a comprehensive overview of this interesting research area by gathering contributions covering all aspects related to this topic.

Original research articles, case series, systematic reviews, and meta-analyses will be included. They may cover, but are not limited to different imaging techniques for the assessment of a patient with suspected ischemic stroke:

  • Computed tomography (CT), and  computed tomographic angiography (CT-A) using spiral CT;
  • Magnetic resonance imaging (MRI), including diffusion and perfusion techniques, vessel wall imaging, functional magnetic resonance imaging (fMRI), and Diffusion tensor imaging (DTI);
  •  Magnetic resonance angiography (MR-A);   
  • Duplex imaging of the extracranial arteries;
  • Transcranial Doppler Ultrasound (TDU);
  • Digital subtraction angiography (DSA);
  • Single photon emission computed tomography (SPECT);
  • Positron emission tomography (PET);      
  • The role of neuro-interventional radiology in the diagnosis and treatment of ischemic stroke patients.    

Prof. Dr. Dragos Catalin Jianu
Dr. Jean Claude Sadik 
Prof. Dr. Tihomir V. Ilić 
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. Diagnostics 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 2600 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

  • brain
  • blood vessels
  • ischemic stroke
  • computed tomography (CT)
  • computed tomographic angiography (CT-A) using spiral CT
  • magnetic resonance imaging (MRI)
  • magnetic resonance angiography (MR-A)
  • duplex imaging of the extracranial arteries
  • transcranial Doppler Ultrasound (TDU)
  • digital subtraction angiography (DSA)
  • single photon emission computed tomography (SPECT)
  • positron emission tomography (PET)
  • neuro-interventional radiology

Published Papers (3 papers)

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Review

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14 pages, 966 KiB  
Review
Non-Aneurysmal Perimesencephalic Subarachnoid Hemorrhage: A Literature Review
by Iulian Roman-Filip, Valentin Morosanu, Zoltan Bajko, Corina Roman-Filip and Rodica Ioana Balasa
Diagnostics 2023, 13(6), 1195; https://doi.org/10.3390/diagnostics13061195 - 22 Mar 2023
Cited by 2 | Viewed by 3421
Abstract
Spontaneous non-aneurysmal subarachnoid haemorrhage (NAPMSAH) (addressing point 1) is a relatively rare occurrence in clinical settings as it is rarely misdiagnosed and usually involves a significantly better prognosis than the classical aneurysmal pattern. We hereby focused on a comprehensive analysis of this distinct [...] Read more.
Spontaneous non-aneurysmal subarachnoid haemorrhage (NAPMSAH) (addressing point 1) is a relatively rare occurrence in clinical settings as it is rarely misdiagnosed and usually involves a significantly better prognosis than the classical aneurysmal pattern. We hereby focused on a comprehensive analysis of this distinct pathological entity with the purpose of analysing possible pathophysiological entities, outcomes and treatment options involving this diagnosis with a focus on demographical, epidemiological and clinical data. The clinical setting includes focal neurological signs related to the anatomical structures, while computer tomography followed by tomographic angiography are the most common diagnosis tools, with a typical hyperdense lesion involving the midbrain, fourth ventricle and subthalamic areas without an angiographic correspondent, such as an aneurysmal pathology. Further investigations can also be used to highlight this diagnosis, such as interventional angiography or magnetic resonance imaging. Given the rarity of this condition and its relatively better prognosis, treatment options usually remain conservative. In the present review, the main characteristics of NAPMSAH are discussed. Full article
(This article belongs to the Special Issue Imaging of the Brain and Blood Vessels in Ischemic Stroke)
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2 pages, 181 KiB  
Comment
Comment on Roman-Filip et al. Non-Aneurysmal Perimesencephalic Subarachnoid Hemorrhage: A Literature Review. Diagnostics 2023, 13, 1195
by Ajay Malhotra
Diagnostics 2023, 13(22), 3463; https://doi.org/10.3390/diagnostics13223463 - 17 Nov 2023
Viewed by 443
Abstract
We would like to congratulate Roman-Filip et al. on their recent review on perimesencephalic hemorrhages [...] Full article
(This article belongs to the Special Issue Imaging of the Brain and Blood Vessels in Ischemic Stroke)
15 pages, 1046 KiB  
Systematic Review
MRI Radiomics and Predictive Models in Assessing Ischemic Stroke Outcome—A Systematic Review
by Hanna Maria Dragoș, Adina Stan, Roxana Pintican, Diana Feier, Andrei Lebovici, Paul-Ștefan Panaitescu, Constantin Dina, Stefan Strilciuc and Dafin F. Muresanu
Diagnostics 2023, 13(5), 857; https://doi.org/10.3390/diagnostics13050857 - 23 Feb 2023
Cited by 8 | Viewed by 2254
Abstract
Stroke is a leading cause of disability and mortality, resulting in substantial socio-economic burden for healthcare systems. With advances in artificial intelligence, visual image information can be processed into numerous quantitative features in an objective, repeatable and high-throughput fashion, in a process known [...] Read more.
Stroke is a leading cause of disability and mortality, resulting in substantial socio-economic burden for healthcare systems. With advances in artificial intelligence, visual image information can be processed into numerous quantitative features in an objective, repeatable and high-throughput fashion, in a process known as radiomics analysis (RA). Recently, investigators have attempted to apply RA to stroke neuroimaging in the hope of promoting personalized precision medicine. This review aimed to evaluate the role of RA as an adjuvant tool in the prognosis of disability after stroke. We conducted a systematic review following the PRISMA guidelines, searching PubMed and Embase using the keywords: ‘magnetic resonance imaging (MRI)’, ‘radiomics’, and ‘stroke’. The PROBAST tool was used to assess the risk of bias. Radiomics quality score (RQS) was also applied to evaluate the methodological quality of radiomics studies. Of the 150 abstracts returned by electronic literature research, 6 studies fulfilled the inclusion criteria. Five studies evaluated predictive value for different predictive models (PMs). In all studies, the combined PMs consisting of clinical and radiomics features have achieved the best predictive performance compared to PMs based only on clinical or radiomics features, the results varying from an area under the ROC curve (AUC) of 0.80 (95% CI, 0.75–0.86) to an AUC of 0.92 (95% CI, 0.87–0.97). The median RQS of the included studies was 15, reflecting a moderate methodological quality. Assessing the risk of bias using PROBAST, potential high risk of bias in participants selection was identified. Our findings suggest that combined models integrating both clinical and advanced imaging variables seem to better predict the patients’ disability outcome group (favorable outcome: modified Rankin scale (mRS) ≤ 2 and unfavorable outcome: mRS > 2) at three and six months after stroke. Although radiomics studies’ findings are significant in research field, these results should be validated in multiple clinical settings in order to help clinicians to provide individual patients with optimal tailor-made treatment. Full article
(This article belongs to the Special Issue Imaging of the Brain and Blood Vessels in Ischemic Stroke)
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