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

Yi, Xiaoping1,16,17,18,19,20; Zhan, Huien2; Lyu, Jun3; Du, Juan2; Dai, Min4; Zhao, Min5; Zhang, Yu4; Zhou, Cheng6; Xu, Xin7; Fan, Yi8; Li, Lin9; Dong, Baoxia10; Jiang, Xinya2,6; Xiao, Zeyu11; Zhou, Jihao12; Zhao, Minyi13; Zhang, Jian14; Fu, Yan1; Chen, Tingting12; Xu, Yang8; Tian, Jie15; Liu, Qifa4; Zeng, Hui2

2024-04-12

10.1186/s12885-024-12188-8

BMC CANCER   影响因子和分区

1471-2407

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 improvements. Results Three CT-derived features, including myosarcopenia, spleen_CTV, and SF_CTV (MSF) were identified as the independent predictors for prognosis in AML (P < 0.01). A CT-MSF nomogram showed a performance with AUCs of 0.717, 0.794, 0.796 and 0.792 for predicting the 1-, 2-, 3-, and 5-year overall survival (OS) probabilities in the validation cohort, which were significantly higher than the ELN risk model. Moreover, a new MSN stratification system (MSF nomogram plus ELN risk model) could stratify patients into new high, intermediate and low risk group. Patients with high MSN risk may benefit from intensive treatment (P = 0.0011). Conclusions In summary, the chest CT-MSF nomogram, integrating myosarcopenia, spleen_CTV, and SF_CTV features, could be used to predict prognosis of AML.

Chest computed tomography CT-derived features Acute myeloid leukemia Nomogram Prognosis

SCI

英语

其他

Oncology

Oncology

WOS:001201812700004

BMC

CLINICAL MEDICINE

Web of Science

1.Cent South Univ, Xiangya Hosp, Dept Radiol, Changsha, Peoples R China
2.Jinan Univ, Affiliated Hosp 1, Dept Hematol, Guangzhou, Peoples R China
3.Jinan Univ, Affiliated Hosp 1, Dept Clin Res, Guangzhou, Peoples R China
4.Southern Med Univ, Nanfang Hosp, Dept Hematol, Guangzhou, Peoples R China
5.Cent South Univ, Xiangya Hosp 3, Dept Nucl Med, Changsha, Peoples R China
6.Cent South Univ, Xiangya Hosp, Dept Hematol, Changsha, Peoples R China
7.South China Univ Technol, Guangzhou Peoples Hosp 1, Sch Med, Dept Geriatr, Guangzhou, Peoples R China
8.Soochow Univ, Affiliated Hosp 1, Dept Hematol, Suzhou, Peoples R China
9.Hunan Normal Univ, Hunan Prov People Hosp, Affiliated Hosp 1, Dept Hematol, Changsha, Peoples R China
10.Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Sch Med, Dept Hematol, Shanghai, Peoples R China
11.Jinan Univ, Affiliated Hosp 1, Guangzhou Key Lab Mol & Funct Imaging Clin Transla, Guangzhou, Peoples R China
12.Southern Univ Sci & Technol, Affiliated Hosp 1, Clin Med Coll 2, Dept Hematol,Shenzhen Peoples Hosp,Jinan Univ, Shenzhen, Peoples R China
13.Sun Yat Sen Univ, Affiliated Hosp 7, Dept Hematol, Shenzhen, Peoples R China
14.Cent South Univ, Xiangya Hosp 3, Dept Hematol, Changsha, Peoples R China
15.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
16.Xiangya Hosp, Natl Engn Res Ctr Personalized Diagnost & Therapeu, Changsha, Peoples R China
17.Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha, Peoples R China
18.Cent South Univ, Xiangya Hosp, Hunan Key Lab Skin Canc & Psoriasis, Changsha, Peoples R China
19.Cent South Univ, Xiangya Hosp, Hunan Engn Res Ctr Skin Hlth & Dis, Changsha, Peoples R China
20.Cent South Univ, Xiangya Hosp, Dept Dermatol, Changsha, Peoples R China

Yi, Xiaoping,Zhan, Huien,Lyu, Jun,et al. A chest CT-based nomogram for predicting survival in acute myeloid leukemia[J]. BMC CANCER,2024,24(1).

Yi, Xiaoping.,Zhan, Huien.,Lyu, Jun.,Du, Juan.,Dai, Min.,...&Zeng, Hui.(2024).A chest CT-based nomogram for predicting survival in acute myeloid leukemia.BMC CANCER,24(1).

Yi, Xiaoping,et al."A chest CT-based nomogram for predicting survival in acute myeloid leukemia".BMC CANCER 24.1(2024).