A novel computed tomography-based algorithm for the quantitative identification of lumbar spine-localized trabecular bone loss in patients with type 2 diabetes mellitus

Individuals with T2DM have more severe lumbar trabecular network injury despite a similar BMD to those without T2DM, and the effect of T2DM on LTBL is independent of age and BMD. LTBL may represent a promising imaging marker for detecting early microstructural deterioration in the bone of individuals with diabetes.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-12-31
DOI
https://doi.org/10.21037/qims-2025-1312
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
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article

A novel computed tomography-based algorithm for the quantitative identification of lumbar spine-localized trabecular bone loss in patients with type 2 diabetes mellitus

Runmeng Li, Jiaxin Chen, Yi Ma, Chaojun Zhao et al.
Quantitative Imaging in Medicine and Surgery
Bone health and osteoporosis research
article

A novel computed tomography-based algorithm for the quantitative identification of lumbar spine-localized trabecular bone loss in patients with type 2 diabetes mellitus

Runmeng Li, Jiaxin Chen, Yi Ma, Chaojun Zhao, Zhenguang Zhang, Kai Huang, Jun Gao, Jiangyuan Pi, Yilong Huang
article en

Abstract

Individuals with T2DM have more severe lumbar trabecular network injury despite a similar BMD to those without T2DM, and the effect of T2DM on LTBL is independent of age and BMD. LTBL may represent a promising imaging marker for detecting early microstructural deterioration in the bone of individuals with diabetes.

Quantitative Imaging in Medicine and SurgeryVol. 16(1)
Kunming Medical University (CN), First Affiliated Hospital of Kunming Medical University (CN)
Good health and well-being
Openalex Percentile: Top 30%
Bone health and osteoporosis research
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