Predicting post-lung transplant survival in systemic sclerosis using CT-derived features from preoperative chest CT scans.

ABSTRACT:

Objectives

The current understanding of survival prediction of lung transplant (LTx) patients with systemic sclerosis (SSc) is limited. This study aims to identify novel image features from preoperative chest CT scans associated with post-LTx survival in SSc patients and integrate them into comprehensive prediction models.

Materials and methods

We conducted a retrospective study based on a cohort of SSc patients with demographic information, clinical data, and preoperative chest CT scans who underwent LTx between 2004 and 2020. This cohort consists of 102 patients (mean age, 50 years ± 10, 61% (62/102) females). Five CT-derived body composition features (bone, skeletal muscle, visceral, subcutaneous, and intramuscular adipose tissues) and three CT-derived cardiopulmonary fea

SUBMITTER: Singh J 

PROVIDER: S-EPMC12007620 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature