An arterial spin labeling−based radiomics signature and machine learning for the prediction and detection of various stages of kidney damage due to diabetes

An arterial spin labeling−based radiomics signature and machine learning for the prediction and detection of various stages of kidney damage due to diabetes

ObjectiveThe aim of this study was to assess the predictive capabilities of a radiomics signature obtained from arterial spin labeling (ASL) imaging in forecasting and detecting stages of kidney damage in patients with diabetes mellitus (DM), as well as to analyze the correlation between texture fea...

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Bibliographic Details
Main Authors: Feier Ma, Xian Shao, Yuling Zhang, Jinlao Li, Qiuhong Li, Haizhen Sun, Tongdan Wang, Hongyan Liu, Feiyu Zhao, Lianqin Chen, Jiamian Chen, Saijun Zhou, Qian Ji, Pei Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Endocrinology
Subjects:
radiomics signature
arterial spin labeling
texture analysis
diabetic kidney damage
machine learning (ML)
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1333881/full
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https://www.frontiersin.org/articles/10.3389/fendo.2024.1333881/full

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