Fig. 1
From: A chest CT-based nomogram for predicting survival in acute myeloid leukemia
Enrollment, clinicopathological characteristics and body composition assessment of AML patients. (A) Flow-chart demonstrating the exclusion criteria and the patient recruitment process with the reason for exclusion. (B) Sankey diagram showing the scmap cluster projection of the key characteristics of 952 patients used in this study, including hospital, gender, age composition, risk, treatment response and BMT status. (C) Workflow of the body composition feature- and image-based analysis in this study. VFA, visceral fat area; MFA, muscle fat area; SMA, skeletal muscle area; SFA, subcutaneous fat area; Liver_CTV, CT value of liver parenchyma; VFI, visceral fat index; MFI, muscle fat index; SMI, skeletal muscle index; Spleen_CTV, spleen CT value; SF_CTV, subcutaneous fat CT value; myosarco, myosarcopenia. Risk, ELN risk; BMT, bone marrow transplantation; OS, overall survival; CR, Cox proportional-hazards regression; RSF, random survival forest; DL, deep learning.