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Diagnostics
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Cerebrovascular Lesions: Diagnosis and Management, 2nd Edition
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Cerebrovascular Lesions: Diagnosis and Management, 2nd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 616

Special Issue Editor

Dr. Hung-Chieh Chen

E-Mail Website
Guest Editor
1. Division of Neuroradiology, Department of Radiology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
2. School of Medicine, National Yang-Ming Chiao Tung University, Taipei 11221, Taiwan
Interests: neuroimaging; diagnostic neuroradiology; pediatric neuroradiology; spine images
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cerebrovascular diseases and stroke are the fifth leading cause of death worldwide. Survivors often suffer from significant morbidity or complications. Cerebrovascular diseases can develop from a variety of causes, including atherosclerosis, thrombosis, embolic events, or vascular lesions. Accurate diagnosis and proper management are important to achieve better outcomes and decrease complications.

The goal of this Special Issue is to collect studies that focus on the pathophysiology, diagnostic methods, potential pitfalls, and treatment methods of cerebrovascular diseases. Thus, this Special Issue will provide insight into the latest medical progress in cerebrovascular diseases and could establish the foundation for advanced future studies. We welcome the submission of original research articles, focused reviews, and pictorial essays or case reports focusing on the pathophysiology, diagnosis, treatment, and prognostic evaluation of cerebrovascular diseases.

Dr. Hung-Chieh Chen
Guest Editor

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

  • stroke
  • aneurysm
  • vascular malformation
  • computed tomography (CT)
  • magnetic resonance imaging (MRI)

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Published Papers (1 paper)

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9 pages, 2266 KiB  
Brief Report
Assessment of Inter-Reader Reliability of Fazekas Scoring on Magnetic Resonance Imaging of the Brain in Adult Patients with Sickle Cell Disease
by Aoife M. Haughey, Roisin M. O’Cearbhaill, Stephanie Forté, Joanna D. Schaafsma, Kevin H. M. Kuo and Igor Gomes Padilha
Diagnostics 2025, 15(7), 857; https://doi.org/10.3390/diagnostics15070857 - 27 Mar 2025
Viewed by 368
Abstract
Background/Objectives: Cerebral white matter disease is a common finding in patients with sickle cell that has been linked to cognitive impairment. However, there is no standardized approach for quantification of the cerebral disease burden. The Fazekas score is widely used to quantify [...] Read more.
Background/Objectives: Cerebral white matter disease is a common finding in patients with sickle cell that has been linked to cognitive impairment. However, there is no standardized approach for quantification of the cerebral disease burden. The Fazekas score is widely used to quantify the burden of white matter disease in chronic small vessel disease. However, its utility in sickle cell disease, specifically the inter-rater variability, has not been established. Methods: A patient cohort was compiled for the purpose of a research ethics board (REB)-approved retrospective study of adult patients with sickle cell disease, each of whom underwent MRI/MRA between the years 2017 and 2019. A total of 90 such patients were captured. All MRI/MRA studies were performed on three Tesla MRIs. Two independent neuroradiologists assessed the axial FLAIR MRI brain sequence (see image 1) for each of the 90 patients, with the sole focus of assigning a Fazekas score (0–3) to each study as a means of quantifying the burden of ischemic white matter lesions. The neuroradiologists were blinded to the scoring assigned by their counterpart and to the clinical information. After the initial assessment was completed, studies with discrepant Fazekas scores were documented and discussed by both readers. A consensus Fazekas score was then assigned to each of these studies. Results: Cohen’s weighted kappa was used as a measure of agreement between readers. The expected agreement was 74.65%, with an observed agreement of 94.44% between readers, with a kappa of 0.7808. Conclusions: We conclude on the basis of our study that there is good inter-reader reliability of Fazekas scoring on axial FLAIR MRI brain sequence in patients with sickle cell disease. The Fazekas is a promising measure that could easily be integrated in systematic evaluation of cerebrovascular lesions of adults with sickle cell disease. Full article
(This article belongs to the Special Issue Cerebrovascular Lesions: Diagnosis and Management, 2nd Edition)
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