Clinical Advances and Applications in Neuroradiology: 2nd Edition

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

Deadline for manuscript submissions: 31 October 2025 | Viewed by 774

Special Issue Editor


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Guest Editor
Department of Radiology, Neuroradiology Section, UT Southwestern Medical Center, Dallas, TX 75390, USA
Interests: neuroradiology; artificial intelligence; radiomics; neuro-oncology
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Special Issue Information

Dear Colleagues,

Neuroradiology is a rapidly advancing field of medicine that uses imaging techniques to diagnose and treat diseases of the head and neck, brain, spine, and nervous system. Clinical advances in neuroradiology have led to the development of new and improved imaging techniques, such as susceptibility-weighted imaging (SWI), diffusion tensor imaging (DTI), resting-state and task-based functional MRI (fMRI), perfusion imaging (CT perfusion and MR perfusion), MR spectroscopy, and  PET/ molecular imaging. These techniques have allowed neuroradiologists to evaluate the brain and nervous system in greater detail than ever before, which has led to improved diagnosis and treatment of a wide range of neurological disorders. Recently, artificial intelligence (AI) has gained strong momentum in clinical neuroradiology, including workflow optimization, image reconstruction, and AI-assisted diagnosis.

The aim of this Special Issue is to cover these advanced imaging techniques in clinical neuroradiology. We accept original research and reviews in this field.

Dr. Houman Sotoudeh
Guest Editor

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Keywords

  • neuroradiology
  • advanced imaging
  • susceptibility-weighted imaging (SWI)
  • diffusion tensor imaging (DTI)
  • functional MRI (fMRI)
  • CT perfusion
  • MR perfusion
  • MR spectroscopy
  • PET
  • molecular imaging
  • artificial intelligence

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Published Papers (1 paper)

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Research

13 pages, 4755 KiB  
Article
Near-Wall Slow Flow Contributes to Wall Enhancement of Middle Cerebral Artery Bifurcation Aneurysms on Vessel Wall MRI
by Linfeng Liu, Zhuhao Li, Weiping Xiao, Yibing Yang, Yan Yan, Lu Bai, Lingzhi Quan, Tiewei Qi and Feng Liang
Diagnostics 2024, 14(23), 2722; https://doi.org/10.3390/diagnostics14232722 - 3 Dec 2024
Viewed by 606
Abstract
Background: The mechanism of aneurysm wall enhancement (AWE) in middle cerebral artery (MCA) bifurcation aneurysms on vessel wall magnetic resonance imaging (VW-MRI) remains unclear. We aimed to explore the morphologically related hemodynamic mechanism for the AWE of MCA bifurcation aneurysms. Methods: Patients with [...] Read more.
Background: The mechanism of aneurysm wall enhancement (AWE) in middle cerebral artery (MCA) bifurcation aneurysms on vessel wall magnetic resonance imaging (VW-MRI) remains unclear. We aimed to explore the morphologically related hemodynamic mechanism for the AWE of MCA bifurcation aneurysms. Methods: Patients with unruptured MCA bifurcation aneurysms undergoing VW-MRI were enrolled. Logistic regression analyses were performed to determine the risk factors for AWE. Based on the results of retrospective analyses, bifurcation aneurysm silicone models with a specific aspect ratio (AR) were designed and underwent VW-MRI with different inlet velocities. Computational fluid dynamics (CFD) analyses were conducted on both silicone models and patients’ aneurysms. Results: A total of 104 aneurysms in 95 patients (mean age 60; 34 males) were included for baseline analysis and morphological analysis. Logistic regression analysis indicated AR (OR, 5.92; 95% CI, 2.00–17.55; p = 0.001) was associated with AWE. In the high-AR group of 45 aneurysms with AWE, the aneurysm sac exhibited lower blood flow velocity, lower wall shear stress, a larger proportion of low-flow regions and higher wall enhancement values. In total, 15 silicone models were analyzed, divided into three subgroups based on neck width (4 mm, 6 mm, and 8 mm). Each subgroup contained aneurysms with five different ARs: 1.0, 1.25, 1.5, 1.75, and 2.0. In silicone models, contrast enhancement (CE) was mainly located beneath the dome of the aneurysm wall. With the same inlet velocity, CE gradually increased as the AR increased. Similarly, at the same AR, CE increased as the inlet velocity decreased. CFD demonstrated a moderate positive correlation between the near-wall enhancement index and the ratio of the low-velocity area (r = 0.6672, p < 0.001). Conclusions: The AR is associated with the AWE of MCA bifurcation aneurysms. A high AR may promote wall enhancement by causing near-wall slow flow. Full article
(This article belongs to the Special Issue Clinical Advances and Applications in Neuroradiology: 2nd Edition)
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