Prognostic value of baseline 18F-FDG PET/CT metabolic parameters and related clinical factors in angioimmunoblastic T-cell lymphoma
10.3760/cma.j.cn321828-20250210-00029
- VernacularTitle:基线 18F－FDG PET/CT代谢参数及相关临床因素对血管免疫母细胞性T细胞淋巴瘤的预后价值
- Author:
Xinyuan CHEN
1
;
Yue TENG
;
Haoan ZHANG
;
Chongyang DING
;
Jingyan XU
Author Information
1. 南京中医药大学鼓楼临床医学院血液内科，南京 210008
- Publication Type:Journal Article
- Keywords:
Lymphoma, T-cell, peripheral;
Positron-emission tomography;
Tomography, X-ray computed;
Fluorodeoxyglucose F18;
Forecasting
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2025;45(11):654-660
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the value of baseline 18F-FDG PET/CT metabolic parameters and related clinical factors in the prognostic assessment of patients with angioimmunoblastic T-cell lymphoma (AITL). Methods:From July 2013 to December 2023, 70 patients with AITL (44 males, 26 females, age (63.9±9.6) years) from Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University (32 cases) as well as the First Affiliated Hospital of Nanjing Medical University (38 cases) who were diagnosed pathologically and underwent PET/CT imaging prior to treatment were retrospectively analyzed. PET/CT metabolic parameters (calculated using the 41%SUV max threshold method) and related clinical factors were collected. The optimal cut-off values of metabolic parameters were determined by using the ROC curve analysis. Cox proportional risk regression models were used for prognostic analyses, prediction models were constructed and efficacies were assessed by calibration curves and time-dependent ROC curves. Results:With the follow-up of 19.0(10.0, 33.3) months, disease progression or recurrence occurred in 51 patients, and 28 patients died. ROC curves showed that the optimal cut-off values on diagnosing AITL of total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), and SUV max were 767.1cm 3, 2159.6g and 13.0, respectively. TMTV (hazard ratio ( HR)=0.485, 95% CI: 0.252-0.935, P=0.031) and gender ( HR=0.441, 95% CI: 0.236-0.824, P=0.010) were independent risk factors for progression-free survival (PFS); TMTV ( HR=0.422, 95% CI: 0.178-0.997, P=0.049) and treatment regimen ( HR=0.346, 95% CI: 0.154-0.777, P=0.010) were independent risk factors for overall survival (OS). Time-dependent ROC curves indicated that the combined model of TMTV combining gender or treatment regimen had better prognostic results in predicting PFS (AUCs: 0.67-0.82) or OS (AUCs: 0.62-0.80) in patients with AITL. The calibration curve showed the predicted values of the combined models were in good consistency with the actual values. Conclusions:The metabolic parameter TMTV is an independent risk factor for PFS and OS in patients with AITL. The combined model of TMTV combining gender or treatment regimen can effectively improve the prognostic prediction efficacy of PFS or OS in patients with AITL.
