Xiaoping Yi, Huien Zhan, Jun Lyu, Juan Du, Min Dai, Min Zhao, Yu Zhang, Cheng Zhou, Xin Xu, Yi Fan, Lin Li, Baoxia Dong, Xinya Jiang, Zeyu Xiao, Jihao Zhou, Minyi Zhao, Jian Zhang, Yan Fu, Tingting Chen, Yang Xu, Jie Tian, Qifa Liu, Hui Zeng
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...
April 12, 2024: BMC Cancer