ORIGINAL RESEARCH article
Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1498024
This article is part of the Research TopicAdvancing Cancer Imaging Technologies: Bridging the Gap from Research to Clinical PracticeView all 22 articles
Impaction of body composition metrics extracted from QCT and the corresponding nomogram on evaluation of survival prognosis in AML patients
Provisionally accepted
- 1The Second Hospital of Hebei Medical University, Shijiazhuang, China
- 2Kuopio University Hospital, Kuopio, Finland, The Second Hospital of Hebei Medical University, Shijiazhuang, China
- 3Kuopio University Hospital, Kuopio, Northern Savonia, Finland
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Objectives: To investigate whether the body composition metrics which extracted from quantitative CT (QCT) associated with survival prognosis of acute myeloid leukemia (AML) patients or not, and to evaluate the impaction of nomogram based on QCT and clinical-physical factors on predicting prognosis of AML.The clinical factors and QCT metrics of 127 AML patients undergoing initial chest CT were analyzed retrospectively. The AML patients were divided into favorable and poor prognosis groups based on the threshold of median overall survival (OS). A QCT metrics and clinical factors derived nomogram was constructed using multivariate Cox regression. The performance of the nomogram was assessed with receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).Results: Compared to patients with favorable survival prognosis group, the patients with poor prognosis were older (P=0.027), with higher risk stratification (P=0.006), more positive minimal residual lesion (MRD) (P=0.014); lower skeletal muscle index (SMI) (P=0.045), higher incidence of volumetric bone mineral density (vBMD)≤120 (P=0.035). Older, higher risk stratification, positive MRD, and SMI <15.74cm 2 /m 2 were the independent risk factors for poor prognosis of AML patients. The AUC values (AUCs) of Nomogram, which enrolled SMI and indepdent clinical factors, for predicting 1-year and 2-year OS were 0.792 and 0.794, respectively.Calibration curve and DCA demonstrated the fine performance of the nomogram predictiom model.The sarcopenia revealed by QCT, integrating a nomogram with age, risk stratification, MRD can facilitate individualized prediction of survival prognosis in AML patients.
Keywords: Acute Myeloid Leukemia, prognosis, Physical composition, Quantitative computed tomography, nomogram
Received: 18 Sep 2024; Accepted: 20 Aug 2025.
Copyright: © 2025 Yuan, Zhang, Liu, Gao and Quan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Guanmin Quan, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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