Evidence map›Paper›PMID 41524829›Full record

ArticleArchives of osteoporosis2026

Utility of diffusion tensor imaging for assessing bone quality in type 2 diabetes: correlation with bone turnover biomarkers.

Amany A Mousa, Alaa M Wafa, Randa Ramadan, Rasha Elzehery, Nehal Tharwat

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Article in Archives of osteoporosis, 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

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5 authors.

Amany A MousaDepartment of Internal Medicine, Endocrine, Diabetes and Clinical Nutrition Unit, Faculty of Medicine, Specialized Medical Hospital, Mansoura University, Mansoura, Egypt. amany_a_mousa@mans.edu.eg.
Alaa M WafaDepartment of Internal Medicine, Endocrine, Diabetes and Clinical Nutrition Unit, Faculty of Medicine, Specialized Medical Hospital, Mansoura University, Mansoura, Egypt.
Randa RamadanDepartment of Internal Medicine, Endocrine, Diabetes and Clinical Nutrition Unit, Faculty of Medicine, Specialized Medical Hospital, Mansoura University, Mansoura, Egypt.
Rasha ElzeheryDepartment of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Nehal TharwatDepartment of Diagnostic Radiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined type 2 diabetic patients by diffusion tensor imaging, an advanced magnetic resonance technique, and found significant differences than healthy subjects that correlated with markers of bone turnover. This could help in assessment of bone quality in diabetics where bone density often appears normal despite high fracture risk.

introductionType 2 diabetes (T2DM) induced bone fragility is mainly due to alteration of bone quality rather than a decline in bone mineral density. The aim of the present study was to assess the ability of diffusion tensor imaging (DTI) to assess bone quality in T2DM.

methodsA total of 68 patients with T2DM were enrolled and stratified into two groups: those with microvascular complications (n = 38) and those without (n = 30). Additionally, 30 age- and sex-matched healthy controls were included. All participants underwent DTI of the lumbosacral spines and both hips, dual-energy X-ray absorptiometry (DEXA) scanning, and assessment of bone turnover biomarkers, including C-terminal telopeptide of type I collagen (CTX) and procollagen type I N-terminal propeptide (P1NP).

resultsDTI parameters-fractional anisotropy (FA) and apparent diffusion coefficient (ADC)-differed between patients and controls. FA values for the spine and hips were lower, while ADC values for the hips were higher in both diabetic patient groups compared to control subjects. ADC values for the spine were higher in diabetic patients with complications than in controls. A significant positive correlation was observed between FA and CTX levels in patients with complications. No significant differences were found in DEXA scan results between patients and controls. FA and ADC values for the hips showed the highest area under the curve (AUC) values (0.868 and 0.818, respectively), followed by FA and ADC for the spine (0.779 and 0.721), according to ROC curve analysis. The optimal cutoffs yielding the best sensitivity and specificity were observed for FA over ADC.

conclusionDTI can provide information about the microstructural changes associated with the development of a low bone turnover state in type 2 diabetes mellitus, where bone mineral density typically remains within the normal range.

Indexed as

Bone DensityBone RemodelingDiabetes Mellitus, Type 2Diffusion Tensor ImagingAbsorptiometry, PhotonAgedBiomarkersCase-Control StudiesCollagen Type IFemaleHumansMaleMiddle AgedPeptide FragmentsPeptidesProcollagenBiomarkersCollagen Type Icollagen type I trimeric cross-linked peptidePeptide FragmentsPeptidesProcollagenprocollagen Type I N-terminal peptideBone qualityBone turnover markersDiffusion tensor imagingFractional anisotropyType 2 diabetes mellitus

Identifiers

PMID41524829
PMCPMC12795938

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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.