Evaluating the added value of multiparametric functional MRI in predicting renal function response to renal artery stenting in severe atherosclerotic renal artery stenosis

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jia Fu , Zhiyong Lin , Bihui Zhang , Xiaoyan Meng , Jianxing Qiu , Min Yang , Yinghua Zou
{"title":"Evaluating the added value of multiparametric functional MRI in predicting renal function response to renal artery stenting in severe atherosclerotic renal artery stenosis","authors":"Jia Fu ,&nbsp;Zhiyong Lin ,&nbsp;Bihui Zhang ,&nbsp;Xiaoyan Meng ,&nbsp;Jianxing Qiu ,&nbsp;Min Yang ,&nbsp;Yinghua Zou","doi":"10.1016/j.mri.2025.110329","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To explore the potential of Intravoxel Incoherent Motion Diffusion (IVIM) and Arterial Spin Labeling (ASL) in predicting the short-term effectiveness of post-revascularization for severe atherosclerotic renal artery stenosis.</div></div><div><h3>Material and methods</h3><div>A retrospective analysis of 88 cases from October 2018 to February 2023 was conducted. Patients were divided into Responder and Non-Responder groups based on renal function outcomes at their last follow-up. Clinical data were compared between the groups, and preoperative functional MRI images were analyzed. ROIs were outlined for the affected and both kidneys. Measurements included ASL-derived renal blood flow (RBF), IVIM's pseudo-diffusion coefficient (D*), perfusion fraction (f), true diffusion coefficient (D), and the conventional apparent diffusion coefficient (ADC).Multivariate logistic regression identified independent clinical predictors of benefit, and a clinical prediction model was developed. Model performance was assessed using Receiver Operating Characteristic (ROC) curves and Decision Curve Analysis(DCA) curves.</div></div><div><h3>Results</h3><div>In the training cohort of 54 non-responders and 34 responders, no quantitative parameters of bilateral kidneys showed statistical significance in predicting Responders (all <em>p</em> &gt; 0.05). Pre-treatment eGFR, presence of diabetes, and the D value of the affected kidney were identified as independent factors for predicting short-term treatment effectiveness. The combined clinical-functional imaging model yielded a higher AUC at 0.796 (95 % CI: 0.690–0.897). Decision curve analysis further confirmed the better net benefit of combined model.</div></div><div><h3>Conclusion</h3><div>Beyond clinical characteristics, functional MRI had the potential to predict response of stenting for severe atherosclerotic renal artery stenosis.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110329"},"PeriodicalIF":2.1000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic resonance imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0730725X25000116","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

To explore the potential of Intravoxel Incoherent Motion Diffusion (IVIM) and Arterial Spin Labeling (ASL) in predicting the short-term effectiveness of post-revascularization for severe atherosclerotic renal artery stenosis.

Material and methods

A retrospective analysis of 88 cases from October 2018 to February 2023 was conducted. Patients were divided into Responder and Non-Responder groups based on renal function outcomes at their last follow-up. Clinical data were compared between the groups, and preoperative functional MRI images were analyzed. ROIs were outlined for the affected and both kidneys. Measurements included ASL-derived renal blood flow (RBF), IVIM's pseudo-diffusion coefficient (D*), perfusion fraction (f), true diffusion coefficient (D), and the conventional apparent diffusion coefficient (ADC).Multivariate logistic regression identified independent clinical predictors of benefit, and a clinical prediction model was developed. Model performance was assessed using Receiver Operating Characteristic (ROC) curves and Decision Curve Analysis(DCA) curves.

Results

In the training cohort of 54 non-responders and 34 responders, no quantitative parameters of bilateral kidneys showed statistical significance in predicting Responders (all p > 0.05). Pre-treatment eGFR, presence of diabetes, and the D value of the affected kidney were identified as independent factors for predicting short-term treatment effectiveness. The combined clinical-functional imaging model yielded a higher AUC at 0.796 (95 % CI: 0.690–0.897). Decision curve analysis further confirmed the better net benefit of combined model.

Conclusion

Beyond clinical characteristics, functional MRI had the potential to predict response of stenting for severe atherosclerotic renal artery stenosis.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信