Radiomics based on lumbar CT to identify high-risk patients for OVCF in postmenopausal women

The radiomics model based on lumbar CT scans in postmenopausal women can identify and predict patients at high risk of OVCF with better sensitivity and accuracy than DEXA, even in patients with the same T-scores.

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Publication Details

Journal
Frontiers in Aging
Published
2025-06-27
DOI
https://doi.org/10.3389/fragi.2025.1472060
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Radiomics based on lumbar CT to identify high-risk patients for OVCF in postmenopausal women

Lei Ma, Jiabao Chen, Howard S. An, Qingsong Yu et al.
2 citations
Frontiers in Aging
Radiomics and Machine Learning in Medical Imaging
2.72
article

Radiomics based on lumbar CT to identify high-risk patients for OVCF in postmenopausal women

Lei Ma, Jiabao Chen, Howard S. An, Qingsong Yu, Haidong Wang, Zhe Lü, Aoran Ding
article en
2 citations

Abstract

The radiomics model based on lumbar CT scans in postmenopausal women can identify and predict patients at high risk of OVCF with better sensitivity and accuracy than DEXA, even in patients with the same T-scores.

Frontiers in AgingVol. 6
Hebei Medical University (CN), Third Hospital of Hebei Medical University (CN)
Openalex Percentile: Top 10%
Radiomics and Machine Learning in Medical Imaging
2.72
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