Comparative analysis and influencing factors of aneurysm wall characteristics based on artificial intelligence-assisted 3.0T MRI and 5.0T MRI high-resolution vascular wall imaging

Q: What is the study’s main objective regarding 3.0T and 5.0T HR-VWI?

To compare and analyze how 3.0T and 5.0T high-resolution magnetic resonance vascular wall imaging perform in evaluating unruptured intracranial aneurysm wall characteristics, and to explore influencing factors of aneurysm wall enhancement.

Q: How were AWE and non-AWE groups formed in the analysis?

Using the 5.0T HR-VWI results, patients were divided into an AWE group and a non-AWE group, and then differences in morphological parameters and clinical data were analyzed.

Q: Which factors were associated with increased incidence of aneurysm wall enhancement?

The incidence of AWE increased in patients with diabetes, smoking history, aneurysm diameter ≥7 mm, and anterior communicating aneurysms, and it was higher in subcapsules and lobulated aneurysms than in regular morphologies.

Sep 30, 2026

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This study compares artificial intelligence-assisted evaluation of unruptured intracranial aneurysm wall characteristics using 3.0T versus 5.0T high-resolution vascular wall imaging. Deep convolutional neural networks are used to automatically detect aneurysms, then 5.0T results divide patients into aneurysm wall enhancement (AWE) and non-AWE groups. The 5.0T approach shows higher AWE detection and highlights clinical and morphological factors linked to wall enhancement, including diabetes, smoking history, diameter ≥7 mm, and specific aneurysm shapes.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages12

Reading Time30 min

AccessFree to download

Abstract

Background

Methods

Results

Conclusion

Keywords

Introduction

Zhou et al. BMC Medical Imaging (2026) 26:9 [https://doi.org/10.1186/s12880-025-01959-9](https://doi.org/10.1186/s12880-025-01959-9) BMC Medical Imaging RESEARCH Open Access Comparative analysis and influencing factors of aneurysm wall characteristics based on artificial intelligence-assisted 3.0T MRI and 5.0T MRI high-resolution vascular wall imaging Jianxin Zhou 1†, Qiuhong Mou2†, Yi Song 1, Yao Wu 1, Mingdong Liu 1, Wenbin Zeng2, Jianrong Li2*† andYun Tan 1*† Abstract Background This study aimed to use artificial intelligence-assisted image processing methods to compare and analyze the effects of 3 . 0T and 5. 0T high-resolution magnetic resonance vascular wall imaging (HR-VWI) in evaluating the wall characteristics of unruptured intracranial aneurysms, explore the influencing factors of aneurysm wall enhancement (AWE) . Methods Using 3 . 0T and 5 . 0T MRI scanners, cerebral vascular imaging was performed on 132 subjects and using deep convolutional neural networks to establish and validate an artificial intelligence model for automatic detection of aneurysms in MRI. According to the 5. 0T HR-VWI results, patients were divided into an AWE group and a non-AWE group, and the differences in two-dimensional morphological parameters and clinical data between the two groups were further analyzed. Results The detection rate of AWE in 5. 0T HR-VWI was higher than that in 3. 0T HR-VWI (P < 0. 05) . The incidence of AWE in patients with diabetes, smoking history, aneurysm diameter ≥ 7 mm and anterior communicating aneurysms was increased (P < 0. 05) . The incidence of wall enhancement in aneurysms with subcapsules and lobulated aneurysms was higher than that in aneurysms with regular morphology (P < 0. 05) . The aspect ratio and size ratio of aneurysms in the group with AWE were higher than those in the group without AWE (P < 0. 05) . | †Jianxin Zhou and Qiuhong Mou contributed equally to this work and should be considered co-first authors. | | --- | | †Jiangrong Li andYun Tan made the equal contribution to this article and should be considered co-corresponding authors. | *Correspondence: Jianrong Li [1296188984@qq.com](1296188984@qq.com)[ ](1296188984@qq.com)Yun Tan [715453684@qq.com](715453684@qq.com) Full list of author information is available at the end of the article © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http://creati](http://creati)[vecommons.org/l](vecommons.org/l)icenses/by-nc-nd/4.0/. Zhou et al. BMC Medical Imaging (2026) 26:9 Page 2 of 12 Conclusion The incidence of AWE in diabetes, smoking history, anterior communicating artery aneurysms, aneurysms with diameter ≥ 7 mm, sacs, and lobulated aneurysms is increased. The AWE group showing increased aspect ratio and size ratio. 5. 0T HR-VWI has a higher detection rate in identifying AWE. AI-assisted aneurysm diagnosis and measurement is expected to replace manual recognition and measurement to a certain extent. Keywords Intracranial aneurysm, High resolution vascular wall imaging, Enhancement of aneurysm wa

FAQs

What is the study’s main objective regarding 3.0T and 5.0T HR-VWI?

To compare and analyze how 3.0T and 5.0T high-resolution magnetic resonance vascular wall imaging perform in evaluating unruptured intracranial aneurysm wall characteristics, and to explore influencing factors of aneurysm wall enhancement.

How were AWE and non-AWE groups formed in the analysis?

Using the 5.0T HR-VWI results, patients were divided into an AWE group and a non-AWE group, and then differences in morphological parameters and clinical data were analyzed.

Which factors were associated with increased incidence of aneurysm wall enhancement?

The incidence of AWE increased in patients with diabetes, smoking history, aneurysm diameter ≥7 mm, and anterior communicating aneurysms, and it was higher in subcapsules and lobulated aneurysms than in regular morphologies.

Sep 30, 2026

Upload by jay