A chest CT-based nomogram for predicting survival in acute myeloid leukemia.

ABSTRACT:

Background

The identification of survival predictors is crucial for early intervention to improve outcome in acute myeloid leukemia (AML). This study aim to identify chest computed tomography (CT)-derived features to predict prognosis for acute myeloid leukemia (AML).

Methods

952 patients with pathologically-confirmed AML were retrospectively enrolled between 2010 and 2020. CT-derived features (including body composition and subcutaneous fat features), were obtained from the initial chest CT images and were used to build models to predict the prognosis. A CT-derived MSF nomogram was constructed using multivariate Cox regression incorporating CT-based features. The performance of the prediction models was assessed with discrimination, calibration, decision curves and improvem

SUBMITTER: Yi X 

PROVIDER: S-EPMC11010287 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature