Deep Learning for Bone Mineral Density and T-Score Prediction from Chest X-rays: A Multicenter Study.

ABSTRACT: Although the number of patients with osteoporosis is increasing worldwide, diagnosis and treatment are presently inadequate. In this study, we developed a deep learning model to predict bone mineral density (BMD) and T-score from chest X-rays, which are one of the most common, easily accessible, and low-cost medical imaging examination methods. The dataset used in this study contained patients who underwent dual-energy X-ray absorptiometry (DXA) and chest radiography at six hospitals between 2010 and 2021. We trained the deep learning model through ensemble learning of chest X-rays, age, and sex to predict BMD using regression and T-score for multiclass classification. We assessed the following two metrics to evaluate the performance of the deep learning model: (1) correlation between the

SUBMITTER: Sato Y 

PROVIDER: S-EPMC9496220 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature