Department of Nuclear Medicine, Centre Henri Becquerel, Rouen, France.
Department of Hematology, Centre Henri Becquerel, Rouen, France.
Sci Rep. 2024 Apr 5;14(1):8033. doi: 10.1038/s41598-024-58412-0.
The prognostic value of radiomic quantitative features measured on pre-treatment F-FDG PET/CT was investigated in patients with follicular lymphoma (FL). We conducted a retrospective study of 126 FL patients (grade 1-3a) diagnosed between 2006 and 2020. A dozen of PET/CT-derived features were extracted via a software (Oncometer3D) from baseline F-FDG PET/CT images. The receiver operating characteristic (ROC) curve, Kaplan-Meier method and Cox analysis were used to assess the prognostic factors for progression of disease within 24 months (POD24) and progression-free survival at 24 months. Four different clusters were identified among the twelve PET parameters analyzed: activity, tumor burden, fragmentation-massiveness and dispersion. On ROC analyses, TMTV, the total metabolic tumor volume, had the highest AUC (0.734) followed by medPCD, the median distance between the centroid of the tumors and their periphery (AUC: 0.733). Patients with high TMTV (HR = 4.341; p < 0.001), high Tumor Volume Surface Ratio (TVSR) (HR = 3.204; p < 0.003) and high medPCD (HR = 4.507; p < 0.001) had significantly worse prognosis in both Kaplan-Meier and Cox univariate analyses. Furthermore, a synergistic effect was observed in Kaplan-Meier and Cox analyses combining these three PET/CT-derived parameters (HR = 12.562; p < 0.001). Having two or three high parameters among TMTV, TVSR and medPCD was able to predict POD24 status with a specificity of 68% and a sensitivity of 75%. TMTV, TVSR and baseline medPCD are strong prognostic factors in FL and their combination better predicts disease prognosis.
我们对 2006 年至 2020 年间诊断的 126 例滤泡淋巴瘤 (FL) 患者进行了回顾性研究。从基线 F-FDG PET/CT 图像中通过软件(Oncometer3D)提取了十几个 PET/CT 衍生特征。使用受试者工作特征 (ROC) 曲线、Kaplan-Meier 方法和 Cox 分析来评估 24 个月内疾病进展(POD24)和 24 个月无进展生存率的预后因素。在分析的 12 个 PET 参数中,我们确定了四个不同的聚类:活性、肿瘤负荷、碎裂质量和分散。在 ROC 分析中,TMTV(总代谢肿瘤体积)的 AUC 最高(0.734),其次是 medPCD(肿瘤中心与肿瘤边缘之间的中位数距离)(AUC:0.733)。在 Kaplan-Meier 和 Cox 单因素分析中,TMTV 高(HR=4.341;p<0.001)、Tumor Volume Surface Ratio (TVSR) 高(HR=3.204;p<0.003)和 medPCD 高(HR=4.507;p<0.001)的患者预后明显较差。此外,在 Kaplan-Meier 和 Cox 分析中,结合这三个 PET/CT 衍生参数观察到协同作用(HR=12.562;p<0.001)。在 TMTV、TVSR 和 medPCD 中,有两个或三个高参数可以预测 POD24 状态,特异性为 68%,敏感性为 75%。TMTV、TVSR 和基线 medPCD 是 FL 的强预后因素,它们的组合能更好地预测疾病预后。