Radiomics models based on thoracic and upper lumbar spine in chest LDCT to predict low bone mineral density.

ABSTRACT: This study aims to develop and validate different radiomics models based on thoracic and upper lumbar spine in chest low-dose computed tomography (LDCT) to predict low bone mineral density (BMD) using quantitative computed tomography (QCT) as standard of reference. A total of 905 participants underwent chest LDCT and paired QCT BMD examination were retrospectively included from August 2018 and June 2019. The patients with low BMD (n = 388) and the normal (n = 517) were randomly divided into a training set (n = 622) and a validation set (n = 283). Radiomics features (RFs) were extracted from the single and consecutive vertebrae in chest LDCT images to construct the single vertebra RFs models, mixed RFs models and Radscore models, respectively. The performance of these models was evaluated b

SUBMITTER: Pan Y 

PROVIDER: S-EPMC11682441 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature