Radiomics analysis based on lumbar spine CT to detect osteoporosis.

ABSTRACT:

Objectives

Undiagnosed osteoporosis may lead to severe complications after spinal surgery. This study aimed to construct and validate a radiomic signature based on CT scans to screen for lumbar spine osteoporosis.

Methods

Using a stratified random sample method, 386 vertebral bodies were randomly divided into a training set (n = 270) and a test set (n = 116). A total of 1040 radiomics features were automatically retracted from lumbar spine CT scans using the 3D slicer pyradiomics module, and a radiomic signature was created. The sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) of the Hounsfield and radiomics signature models were calculated. The AUCs of the two models were compared using the DeLong test. Their clinical usef

SUBMITTER: Jiang YW 

PROVIDER: S-EPMC9059457 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature