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Fig. 2 | BMC Cancer

Fig. 2

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

Fig. 2

Development and validation of CT-MSF Prediction Model. (A) CT-based MSF nomogram for the prognosis of AML. The CT-based MSF model was developed in the training cohort, incorporating the CT-derived parameters including myosarco, Spleen_CTV, and SF-CTV. Myosarco, myosarcopenia. Spleen_CTV, spleen CT value. SF-CTV, subcutaneous fat CT value. RDW, red blood cell distribution width. HDL, high-density lipoproteins. TG, triacylglyceride. Risk1, ELN high risk. Risk2, ELN intermediate risk. Risk3, ELN low risk. BMT 0, no BMT. BMT 1,with BMT. Myosarco 0, no sarcopenia. Myosarco 1, myosarcopenia. Myosarco 2, myosteatosis. Myosarco 3, sarcopenia. (B-E) Receiver operating characteristic (ROC) curves for validation of the CT-MSF model (red) and ELN risk model (blue) at 1 year (B), 2 years (C), 3 years (D) and 5 years(E). The area under curves (AUCs) for both models in the validation cohort of 476 patients are shown. Nomogram, the CT-MSF model. Risk, the ELN risk model.

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