Li Hongyan, Wang Min, Zhang Yajing, Hu Fan, Wang Kun, Wang Chenyang, Gao Zairong
Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Front Oncol. 2022 Jul 28;12:943151. doi: 10.3389/fonc.2022.943151. eCollection 2022.
We investigated the utility of a new baseline PET parameter expressing lesion dissemination and metabolic parameters for predicting progression-free survival (PFS) and pathologic grade in follicular lymphoma (FL).
The baseline F-FDG PET/CT images of 126 patients with grade 1-3A FL were retrospectively analyzed. A novel PET/CT parameter characterizing lesion dissemination, the distance between two lesions that were furthest apart ( ), was calculated. The total metabolic tumor volume and total lesion glycolysis (TLG) were computed by using 41% of the maximum standardized uptake value (SUV) thresholding method.
The 5-year PFS rate was 51.9% for all patients. In the multivariate analysis, high [ = 0.046; hazard ratio (HR) = 2.877], high TLG ( = 0.004; HR = 3.612), and elevated serum lactate dehydrogenase ( = 0.041; HR = 2.287) were independent predictors of PFS. A scoring system for prognostic stratification was established based on these three adverse factors, and the patients were classified into three risk categories: low risk (zero to one factor, = 75), intermediate risk (two adverse factors, = 29), and high risk (three adverse factors, = 22). Patients in the high-risk group had a shorter 3-year PFS (21.7%) than those in the low- and intermediate-risk groups (90.6 and 44.6%, respectively) ( < 0.001). The C-index of our scoring system for PFS (0.785) was superior to the predictive capability of the Follicular Lymphoma International Prognostic Index (FLIPI), FLIPI2, and PRIMA-Prognostic Index (C-index: 0.628-0.701). The receiver operating characteristic curves and decision curve analysis demonstrated that the scoring system had better differentiation and clinical utility than these existing indices. In addition, the median SUV was significantly higher in grade 3A (36 cases) than in grades 1 and 2 FL (90 cases) (median: 13.63 vs. 11.45, = 0.013), but a substantial overlap existed (range: 2.25-39.62 vs. 3.17-39.80).
TLG and represent two complementary aspects of the disease, capturing the tumor burden and lesion dissemination. TLG and are promising metrics for identifying patients at a high risk of progression or relapse. Additionally, SUV seems to have some value for distinguishing grade 3A from low-grade FL but cannot substitute for biopsy.
我们研究了一种新的表达病变播散的基线PET参数和代谢参数对预测滤泡性淋巴瘤(FL)无进展生存期(PFS)和病理分级的效用。
回顾性分析126例1-3A 级FL患者的基线F-FDG PET/CT图像。计算了一个表征病变播散的新PET/CT参数,即相距最远的两个病变之间的距离( )。采用最大标准化摄取值(SUV)阈值的41%计算总代谢肿瘤体积和总病变糖酵解(TLG)。
所有患者的5年PFS率为51.9%。在多变量分析中,高 [ = 0.046;风险比(HR)= 2.877]、高TLG( = 0.004;HR = 3.612)和血清乳酸脱氢酶升高( = 0.041;HR = 2.287)是PFS的独立预测因素。基于这三个不良因素建立了预后分层评分系统,患者被分为三个风险类别:低风险(零至一个因素, = 75)、中风险(两个不良因素, = 29)和高风险(三个不良因素, = 22)。高风险组患者的3年PFS(21.7%)短于低风险组和中风险组(分别为90.6%和44.6%)( < 0.001)。我们的PFS评分系统的C指数(0.785)优于滤泡性淋巴瘤国际预后指数(FLIPI)、FLIPI2和PRIMA预后指数的预测能力(C指数:0.628 - 0.701)。受试者工作特征曲线和决策曲线分析表明,该评分系统比这些现有指标具有更好的区分度和临床效用。此外,3A级(36例)的SUV中位数显著高于1级和2级FL(90例)(中位数:13.63对11.45, = 0.013),但存在大量重叠(范围:2.25 - 39.62对3.17 - 39.80)。
TLG和 代表了疾病的两个互补方面,反映了肿瘤负荷和病变播散。TLG和 是识别进展或复发高风险患者的有前景的指标。此外,SUV似乎在区分3A级与低级别FL方面有一定价值,但不能替代活检。