Hematology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Blood. 2023 Jun 22;141(25):3055-3064. doi: 10.1182/blood.2022018558.
The objective of this study is to externally validate the clinical positron emission tomography (PET) model developed in the HOVON-84 trial and to compare the model performance of our clinical PET model using the international prognostic index (IPI). In total, 1195 patients with diffuse large B-cell lymphoma (DLBCL) were included in the study. Data of 887 patients from 6 studies were used as external validation data sets. The primary outcomes were 2-year progression-free survival (PFS) and 2-year time to progression (TTP). The metabolic tumor volume (MTV), maximum distance between the largest lesion and another lesion (Dmaxbulk), and peak standardized uptake value (SUVpeak) were extracted. The predictive values of the IPI and clinical PET model (MTV, Dmaxbulk, SUVpeak, performance status, and age) were tested. Model performance was assessed using the area under the curve (AUC), and diagnostic performance, using the positive predictive value (PPV). The IPI yielded an AUC of 0.62. The clinical PET model yielded a significantly higher AUC of 0.71 (P < .001). Patients with high-risk IPI had a 2-year PFS of 61.4% vs 51.9% for those with high-risk clinical PET, with an increase in PPV from 35.5% to 49.1%, respectively. A total of 66.4% of patients with high-risk IPI were free from progression or relapse vs 55.5% of patients with high-risk clinical PET scores, with an increased PPV from 33.7% to 44.6%, respectively. The clinical PET model remained predictive of outcome in 6 independent first-line DLBCL studies, and had higher model performance than the currently used IPI in all studies.
本研究旨在对 HOVON-84 试验中开发的临床正电子发射断层扫描(PET)模型进行外部验证,并比较使用国际预后指数(IPI)的我们的临床 PET 模型的模型性能。共有 1195 例弥漫性大 B 细胞淋巴瘤(DLBCL)患者纳入本研究。来自 6 项研究的 887 例患者的数据被用作外部验证数据集。主要结局是 2 年无进展生存(PFS)和 2 年进展时间(TTP)。提取代谢肿瘤体积(MTV)、最大病变与另一病变之间的最大距离(Dmaxbulk)和峰值标准化摄取值(SUVpeak)。测试了 IPI 和临床 PET 模型(MTV、Dmaxbulk、SUVpeak、体能状态和年龄)的预测值。使用曲线下面积(AUC)评估模型性能,并使用阳性预测值(PPV)评估诊断性能。IPI 的 AUC 为 0.62。临床 PET 模型的 AUC 显著更高,为 0.71(P<.001)。高风险 IPI 患者的 2 年 PFS 为 61.4%,而高风险临床 PET 患者的 2 年 PFS 为 51.9%,PPV 分别从 35.5%增加到 49.1%。66.4%的高风险 IPI 患者无进展或复发,而高风险临床 PET 评分患者为 55.5%,PPV 分别从 33.7%增加到 44.6%。临床 PET 模型在 6 项独立的一线 DLBCL 研究中仍然具有预测作用,并且在所有研究中都比目前使用的 IPI 具有更高的模型性能。