CT-based Machine Learning for Donor Lung Screening Prior to Transplantation.

ABSTRACT:

Background

Assessment and selection of donor lungs remains largely subjective and experience based. Criteria to accept or decline lungs are poorly standardized and are not compliant with the current donor pool. Using ex vivo CT images, we investigated the use of a CT-based machine learning algorithm for screening donor lungs prior to transplantation.

Methods

Clinical measures and ex-situ CT scans were collected from 100 cases as part of a prospective clinical trial. Following procurement, donor lungs were inflated, placed on ice according to routine clinical practice, and imaged using a clinical CT scanner prior to transplantation while stored in the icebox. We trained and tested a supervised machine learning method called dictionary learning , which uses CT scans and

SUBMITTER: Ram S 

PROVIDER: S-EPMC10081423 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature