Evidence map›Paper›PMID 41521981›Full record

ArticleQuantitative imaging in medicine and surgery2026

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

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

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Article in Quantitative imaging in medicine and surgery, 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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4 · The record

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5 · Who and what money

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9 authors.

Jiaxin Chen *Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Jiangyuan Pi *Graduate School, Kunming Medical University, Kunming, China.
Runmeng LiDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Kai HuangDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Jun GaoDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Chaojun ZhaoDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yi MaDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Zhenguang ZhangDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yilong HuangDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conventional bone health assessment based on average bone mineral density (BMD) cannot capture localized trabecular abnormalities, and BMD is not always decreased in patients with type 2 diabetes mellitus (T2DM). To overcome these limitations of using BMD alone in diagnosis, this study aimed to apply a novel computed tomography (CT)-based algorithm to quantitatively evaluate lumbar spine-localized trabecular bone loss (LTBL) in individuals with and without T2DM. Methods: This study retrospectively enrolled individuals with and without T2DM, and their basic clinical information was collected. Lumbar spine BMD was measured via quantitative CT (QCT). LTBL was quantified via a novel algorithm, with LTBL defined as trabecular regions with BMD <40 mg/cm Results: A total of 166 participants were included, comprising 94 with T2DM and 72 without T2DM. The T2DM group had a slightly higher BMD than did the non-T2DM group (P>0.05). The T2DM group, as compared to the non-T2DM group, had a significantly higher total number of LTBL areas [12.00 (8.00, 24.00) Conclusions: 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.

Indexed as

algorithmbone microstructurebone mineral density (BMD)trabecular boneType 2 diabetes mellitus (T2DM)

Identifiers

PMID41521981
PMCPMC12780715

What Socratic holds

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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.