CT Imaging Found More Accurate for Assessing Bone Density in Diabetes Patients, claims research
A study published in Skeletal Radiology suggests that CT imaging may offer a more accurate evaluation of bone mineral density (BMD) in individuals with diabetes compared to traditional methods. Among over 1,000 participants, those with diabetes particularly with reduced kidney function showed higher baseline vertebral BMD and significant increases over time. The study was conducted by Elena G. and colleagues.
The longitudinal assessment used 1,046 subjects with vertebral BMD data available from chest CT scans on Exam 5 (2010–2012) and Exam 6 (2016–2018). Diabetes status was defined according to American Diabetes Association guidelines, and subjects with prediabetes (impaired fasting glucose) were excluded to ensure that group comparisons remained clear.
Volumetric BMD estimates were derived from a validated deep learning-based algorithm that segmented the trabecular content of thoracic vertebrae. Researchers applied linear mixed-effects models to estimate the rate of change in BMD over time and tested the interaction between kidney function, as determined by estimated glomerular filtration rate (eGFR), and diabetes status. On the basis of the interaction, the group performed stratified analyses with an eGFR cut-point of 60 mL/min/1.73 m² to separate preserved and impaired renal function.
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