Stroke: Epidemiology, Diagnosis, Etiology, Treatment, and Prevention

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurodegenerative Diseases".

Deadline for manuscript submissions: 30 October 2025 | Viewed by 799

Special Issue Editor


E-Mail Website
Guest Editor
Faculty of Medical Sciences, Santa Casa de Misericordia de São Paulo, Sao Paulo, Brazil
Interests: stroke; cerebrovascular diseases; neurology

Special Issue Information

Dear Colleagues,

Cerebrovascular diseases and strokes belong to a group of diseases that are among the most important in medicine due to their high incidence, prevalence, and severity. They are the leading causes of disabling sequelae in adults and one of the main causes of death worldwide. A highly positive fact is that this disease has great potential for prevention and specific treatment. These facts make the study and management of these diseases mandatory for all physicians and public health programs. Up-to-date knowledge in this field is essential.

In recent decades, significant progress has been made in improving knowledge of their pathophysiology, epidemiology, diagnosis, and treatment. Significant advances have been observed in different aspects, facts translated by many high-level publications and important multicenter clinical trials, which underpin knowledge and conduct.

This Special Issue, which specifically addresses cerebrovascular diseases and stroke in all their aspects, will focus, clearly and objectively, on up-to-date works in this field, aiming to contribute to progress and bring the enable the best treatment for the management of these patients.

Prof. Dr. Rubens José Gagliardi
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. Brain Sciences is an international peer-reviewed open access monthly 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 2200 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
  • cerebrovascular disease
  • epidemiology
  • thrombolysis
  • thrombectomy
  • risk factors
  • ischemia

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

11 pages, 2025 KB  
Article
Collateral Status Evaluation Using CT Angiography and Perfusion Source Images in Acute Stroke Patients
by Heitor C. B. R. Alves, Bruna G. Dutra, Vivian Gagliardi, Rubens J. Gagliardi, Felipe T. Pacheco, Antonio C. M. Maia, Jr. and Antônio J. da Rocha
Brain Sci. 2025, 15(10), 1092; https://doi.org/10.3390/brainsci15101092 - 9 Oct 2025
Viewed by 401
Abstract
Background/Objectives: Single-phase CT angiography (sCTA) is widely used to assess collateral circulation in acute ischemic stroke, but its static nature can lead to an underestimation of collateral flow. Our study aimed to develop and validate a direct, qualitative dynamic CTA (dCTA) collateral score [...] Read more.
Background/Objectives: Single-phase CT angiography (sCTA) is widely used to assess collateral circulation in acute ischemic stroke, but its static nature can lead to an underestimation of collateral flow. Our study aimed to develop and validate a direct, qualitative dynamic CTA (dCTA) collateral score based on CTP source images, without the need for post-processing software, to provide a more accurate prognostic tool. Methods: We retrospectively analyzed 112 patients with anterior circulation ischemic stroke from a prospective registry who underwent non-contrast CT, sCTA, and CTP within 8 h of onset. Collateral circulation was graded using a 4-point sCTA score and our novel 4-point dCTA score, which incorporates temporal filling patterns. We used linear regression to compare the association of both scores with CTP-derived core/hypoperfusion volumes, infarct growth, and final infarct volume. Results: The dCTA method frequently reclassified patients with poor collaterals on sCTA to good collaterals on dCTA (n = 23), while the reverse was rare (n = 5). A better collateral score was significantly associated with smaller core volume for both sCTA and dCTA, but the dCTA score demonstrated a superior model fit (R2 = 0.36 vs. 0.32). Similar superior correlations for dCTA were observed for hypoperfusion, infarct growth, and final infarct volumes. Critically, only the dCTA score significantly modified the association between core volume and time since stroke onset (p for interaction = 0.04). Conclusions: A collateral score derived from CTP source images (dCTA) offers a more reliable prediction of infarct lesion sizes and progression than conventional sCTA. By incorporating temporal resolution without requiring extra software, dCTA provides a robust correlation with stroke temporal evolution and represents a readily implementable tool to enhance patient selection in acute stroke. Full article
(This article belongs to the Special Issue Stroke: Epidemiology, Diagnosis, Etiology, Treatment, and Prevention)
Show Figures

Figure 1

Back to TopTop