Prediction of osteoporosis using radiomics analysis derived from single source dual energy CT.

ABSTRACT:

Background

With the aging population of society, the incidence rate of osteoporosis is increasing year by year. Early diagnosis of osteoporosis plays a significant role in the progress of disease prevention. As newly developed technology, computed tomography (CT) radiomics could discover radiomic features difficult to recognize visually, providing convenient, comprehensive and accurate osteoporosis diagnosis. This study aimed to develop and validate a clinical-radiomics model based on the monochromatic imaging of single source dual-energy CT for osteoporosis prediction.

Methods

One hundred sixty-four participants who underwent both single source dual-energy CT and quantitative computed tomography (QCT) lumbar-spine examination were enrolled in a study cohort including traini

SUBMITTER: Wang J 

PROVIDER: S-EPMC9903590 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature