Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm.

ABSTRACT: Background: We investigated whether opportunistic screening for osteoporosis can be done from computed tomography (CT) scans of the wrist/forearm using machine learning. Methods: A retrospective study of 196 patients aged 50 years or greater who underwent CT scans of the wrist/forearm and dual-energy X-ray absorptiometry (DEXA) scans within 12 months of each other was performed. Volumetric segmentation of the forearm, carpal, and metacarpal bones was performed to obtain the mean CT attenuation of each bone. The correlations of the CT attenuations of each of the wrist/forearm bones and their correlations to the DEXA measurements were calculated. The study was divided into training/validation (n = 96) and test (n = 100) datasets. The performance of multivariable support vector

SUBMITTER: Sebro R 

PROVIDER: S-EPMC8947723 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature