Evidence mapPaperPMID 41784997Full record

ArticleGlobal spine journal2026

CT-Based Bone Habitat Radiomics for Predicting Risk of Vertebral Fracture in Older Adults: A Longitudinal Study.

Dingzhe Zhang, Jiangchuan Wang, Yiping Zhang, Zicheng Wei, Yu Wang, Hongye Tang, Jirong Shen, Xiao Chen, Chao Xie

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Article in Global spine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Dingzhe ZhangDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Jiangchuan WangDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yiping ZhangDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Zicheng WeiDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yu WangDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Hongye TangDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Jirong ShenDepartment of Orthopaedics, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xiao ChenDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.ORCID 0000-0002-8354-9087
Chao XieDepartment of Orthopaedics, University of Rochester School of Medicine, Rochester, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study design/settingRetrospective longitudinal study.PurposeOsteoporotic vertebral fractures (OVF) are common in middle-aged and elderly populations. However, few studies have predicted the risk of OVF from the perspective of the bone heterogeneity. This study conducted a longitudinal study to predict the risk of OVF in individuals over 50 years old based on habitat radiomics which can quantify heterogeneity of vertebral trabecular bone.MethodsIndividuals aged over 50 years who had not experienced OVF and underwent CT scans between 2016 and 2023 were enrolled and followed up until 2024. During the follow-up period, 107 cases developed new OVF, and 270 individuals without fractures were selected as the control group. Radiomic features of each pixel within the vertebra were extracted, and the optimal segmentation of vertebral sub-regions was determined using the K-means unsupervised clustering method.ResultsThe habitat radiomics model significantly outperformed the CT value model (AUC = 0.702, DeLong test

Indexed as

cox proportional hazards modelhabitat radiomicsheterogeneitymachine learningvertebral fracture

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PMID41784997
PMCPMC12962994

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.