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Biological age of a person represents their cellular level health which may be affected by extrinsic factors indicating socioeconomic disadvantage. Biological age (BA) can provide better estimates for age-related comorbidities than chronological age. BA requires well-established laboratory tests for estimation. As an alternative, we designed an image processing model for estimation of biological age from computed tomography scans of the head. We analyzed the relation between gap in biological and chronological age and socioeconomic status or social determinants of health estimated by social deprivation index (SDI). Our model for BA estimation achieved mean absolute error (MAE) of approximately 9 years between estimated biological and chronological age with -0.11 correlation coefficient with SDI. With the fusion of imaging and SDI in the process of age estimation, MAE is reduced by 11%.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Amara Tariq,Bhavik N. Patel, andImon Banerjee
"A study of relationship between social determinant of health and imaging based age estimation using head CT", Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129262G (2 April 2024); https://doi.org/10.1117/12.3006496
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Amara Tariq, Bhavik N. Patel, Imon Banerjee, "A study of relationship between social determinant of health and imaging based age estimation using head CT," Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129262G (2 April 2024); https://doi.org/10.1117/12.3006496