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Personalized Diagnosis and Treatment for Intracranial Aneurysm

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Neurology".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 821

Special Issue Editors


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Guest Editor
Cerebrovascular Center, Cleveland Clinic Foundation, Cleveland, OH, USA
Interests: cerebral aneurysms; arteriovenous malformations; computational fluid structure interaction modeling; subarachnoid hemorrhage

E-Mail Website
Guest Editor
Cerebrovascular Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA
Interests: neurological surgery; aneurysms; intracranial aneurysms; intracranial hemorrhage

Special Issue Information

Dear Colleagues,

This special issue will explore new strategies to predict intracranial aneurysms rupture risk and treatment optimization. Current practice decisions still depend on generalized natural history data which may not match the patient’s aneurysm and vessel anatomy.  Clinicians often are required to make a best estimate of how their patient’s aneurysm will behave. New devices for aneurysm treatment add an additional level of complexity in deciding which treatment strategy to apply. Recent advancements have started to explore the ability to generate personalized medical plans for patient’s aneurysms.  Articles of particular interest will focus on ways to personalize the diagnosis and treatment of intracranial.

Dr. Nina Zobenica Moore
Dr. Mark D. Bain
Guest Editors

Manuscript Submission Information

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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. Journal of Clinical Medicine 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

  • cerebral aneurysms
  • personalized medicine
  • predictive modeling
  • simulation imaging
  • subarachnoid hemorrhage
  • Intracranial Aneurysm

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Published Papers (1 paper)

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Review

14 pages, 1102 KiB  
Review
Beyond Size: Advanced MRI Breakthroughs in Predicting Intracranial Aneurysm Rupture Risk
by Jose E. Leon-Rojas
J. Clin. Med. 2025, 14(9), 3158; https://doi.org/10.3390/jcm14093158 - 2 May 2025
Viewed by 333
Abstract
Intracranial aneurysms (IAs) are present in approximately 3–5% of the global population and carry a significant risk of rupture, leading to subarachnoid haemorrhage (SAH), a condition associated with high morbidity and mortality. Even with developments in neuroimaging, fundamental clinical difficulty remains in precisely [...] Read more.
Intracranial aneurysms (IAs) are present in approximately 3–5% of the global population and carry a significant risk of rupture, leading to subarachnoid haemorrhage (SAH), a condition associated with high morbidity and mortality. Even with developments in neuroimaging, fundamental clinical difficulty remains in precisely predicting which aneurysms will rupture. Although aneurysm size, location, and patient history define traditional risk assessment, these elements by themselves have insufficient predictive ability. Key elements in rupture risk are aneurysm wall biology, haemodynamics, and inflammation; recent developments in magnetic resonance imaging (MRI) including high-resolution vascular wall imaging (VWI), 4D flow MRI, and quantitative susceptibility mapping (QSM) provide fresh insights on these aspects. The present evidence on these sophisticated MRI techniques is synthesised in this review of the literature, which also analyses their clinical relevance and addresses newly developed computational methods like machine learning for better risk stratification. I underline important studies showing the diagnostic and prognostic worth of MRI-based biomarkers, discuss present constraints, and suggest future lines of research. Personalised aneurysm care could benefit from the combination of multiparametric MRI data with artificial intelligence (AI), hence improving patient outcomes. Full article
(This article belongs to the Special Issue Personalized Diagnosis and Treatment for Intracranial Aneurysm)
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