ORIGINAL RESEARCH article
Front. Aging
Sec. Musculoskeletal Aging
Volume 6 - 2025 | doi: 10.3389/fragi.2025.1472060
This article is part of the Research TopicNutrition in Bone Health and AgingView all 7 articles
Radiomics based on lumbar CT to identify high risk patients for OVCF in postmenopausal women
Provisionally accepted
- Third Hospital of Hebei Medical University, Shijiazhuang, China
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Objective: Osteoporosis vertebral compressive fracture (OVCF) is one of the sever complication in patients with osteoporosis. There was limitation in finding the risk factor of OVCF in previous evaluation technique. In this study, we developed a radiomics model (R-model) based on lumbar CT scan to identify high-risk vertebrae of OVCF in postmenopausal women. Method: Radiographic data of postmenopausal women patients in our hospital from January 2021 to August 2022 was collected. All the patients received both dual-energy X-ray absorptiometry (DEXA) and lumbar CT scan. 329 vertebral bodies without compressive fracture in lumbar 1 to 4 were extracted by 3D slicer and randomly divided into train group (n=230) and test group (n=99). 129 radiomics features was automatically calculated by pyradiomics module and minimum-Redundancy Maximum-Relevancy (mRMR), least absolute shrinkage and selection operator (LASSO) were used to shrink features for R-model construction. The sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) of the T-score and R-score were calculated. The AUCs of the two models were compared using the DeLong test. Decision curve analysis (DCA) shew the clinical usefulness of R-model. Results: Eight features were chosen to construct the R-model. The AUCs of the T-score and R-score in training group were 0.845 and 0.945 respectively and were 0.818 and 0.914 respectively in test group. There was significant difference (p<0.001) in the AUC of two models and the decision curve analysis (DCA) shown the R-model has better overall net benefit than T-score model.The radiomics model based on lumbar CT scans in postmenopausal women can identify and predict high-risk patients of OVCF with better sensitivity and accuracy than DEXA,even in patients with the same T-score..
Keywords: OVCF, Radiomics, Osteoporosis, postmenopausal women, Lumbar CT
Received: 28 Jul 2024; Accepted: 26 May 2025.
Copyright: © 2025 Yu, An, Chen, Ding, Lu, Wang and Ma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Lei Ma, Third Hospital of Hebei Medical University, Shijiazhuang, China
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