Dynamic 3D radiomics analysis using artificial intelligence to assess the stage of COVID-19 on CT images.

ABSTRACT:

Objective

To develop a dynamic 3D radiomics analysis method using artificial intelligence technique for automatically assessing four disease stages (i.e., early, progressive, peak, and absorption stages) of COVID-19 patients on CT images.

Methods

The dynamic 3D radiomics analysis method was composed of three AI algorithms (the lung segmentation, lesion segmentation, and stage-assessing AI algorithms) that were trained and tested on 313,767 CT images from 520 COVID-19 patients. This proposed method used 3D lung lesion that was segmented by the lung and lesion segmentation algorithms to extract radiomics features, and then combined with clinical metadata to assess the possible stage of COVID-19 patients using stage-assessing algorithm. Area under the receiver operating charact

SUBMITTER: Cai S 

PROVIDER: S-EPMC8800423 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature