Radiomics analysis of lung CT for multidrug resistance prediction in active tuberculosis: a multicentre study.

ABSTRACT:

Objectives

Multidrug-resistant TB (MDR-TB) is a severe burden and public health threat worldwide. This study aimed to develop a radiomics model based on the tree-in-bud (TIB) sign and nodules and validate its predictive performance for MDR-TB.

Methods

We retrospectively recruited 454 patients with proven active TB from two hospitals and classified them into three training and testing cohorts: TIB (n = 295, 102), nodules (n = 302, 97), and their combination (n = 261, 81). Radiomics features relating to TIB and nodules were separately extracted. The maximal information coefficient and recursive feature elimination were used to select informative features per the two signs. Two radiomics models were constructed to predict MDR-TB using a random forest classifier. Then, a combine

SUBMITTER: Li Y 

PROVIDER: S-EPMC10067016 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature