Prognostic predictive value of metabolic parameters of baseline PET/CT in patients with double expression types of diffuse large B-cell lymphoma
10.3760/cma.j.cn321828-20231118-00113
- VernacularTitle:基线PET/CT代谢参数对弥漫性大B细胞淋巴瘤双表达类型患者的预后预测价值
- Author:
Jincheng ZHAO
1
;
Chong JIANG
;
Yue TENG
;
Man CHEN
;
Chongyang DING
;
Jingyan XU
Author Information
1. 中国药科大学南京鼓楼医院血液内科，南京 210008
- Keywords:
Lymphoma, large B-cell, diffuse;
Genes, myc;
Genes, bcl-2;
Positron-emission tomography;
Tomography, X-ray computed;
Fluorodeoxyglucose F18;
Prognosis
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2024;44(10):583-587
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the value of baseline PET/CT parameters for predicting prognosis in patients with double-expression lymphoma (DEL).Methods:The clinical and 18F-FDG PET/CT data of 118 patients (66 males, 52 females; age: 28-85 years) with diffuse large B-cell lymphoma (DLBCL) diagnosed in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University and the First Affiliated Hospital of Nanjing Medical University from June 2015 to September 2022 were retrospectively analyzed. The optimal thresholds for SUV max, total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) in predicting overall survival (OS) rate were determined using ROC curve analysis. Univariate and multivariate analyses, along with Kaplan-Meier survival analysis were performed to construct a survival prediction model. The effect of the model was evaluated by the calibration curve for the model, the time-dependent ROC curve analysis and decision curve analysis. Results:As of the last follow-up, 25 patients died, and the OS rate was 78.8%(93/118). The AUC of the ROC curve for TMTV was 0.705, with a corresponding optimal threshold of 230.9 cm 3. In multivariate analysis, Eastern Cooperative Oncology Group performance status (ECOG PS) score (hazard ratio ( HR)=3.886, 95% CI: 1.455-10.375; P=0.007) and TMTV ( HR=4.649, 95% CI: 1.665-12.979; P=0.003) were identified as independent predictors of OS. The combined model of ECOG PS score and TMTV was superior to ECOG PS score model and TMTV model alone in predicting OS. Conclusion:TMTV, a metabolic indicator, and ECOG PS score, a clinical risk factor, are independent predictors of OS in patients with DEL, and their combination can provide more accurate prognostic predictions.
