Department of Nuclear Medicine, XiangYa Hospital, Central South University, No. 87 XiangYa Road, Changsha, Hunan Province, China.
Key Laboratory of Biological Nanotechnology, NHC. No. 87 XiangYa Road, Changsha Hunan Province 410013, China.
Mol Imaging. 2022 Mar 17;2022:6511179. doi: 10.1155/2022/6511179. eCollection 2022.
To identify parameters based on dual-imaging F-AlF-NOTA-octreotide (F-OC) and 18-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) for predicting the prognosis of neuroendocrine neoplasms (NENs).
Sixty-six patients (age: mean ± standard deviation (SD): 51.8 ± 11.8 years) who underwent both F-OC and F-FDG PET/CT imaging were enrolled in our retrospective study. The following PET parameters were measured: the maximum standardized uptake value (SUV) and the volumetric parameters-F-OC SSR-derived tumor volume (TV) and somatostatin receptor expression (SRE, TV multiplied by the mean standardized uptake value (SUV)) and the F-FDG-derived multiple tumor volume (MTV) and tumor lesion glycolysis (TLG). The NETPET grade based on dual-imaging PET images was assessed. Progression-free survival (PFS) was set as an endpoint. Univariate and multivariate survival analyses were performed for PET parameters and clinical tumor data.
In the univariate survival analyses of clinical information, PFS was significantly associated with age (>45.5 vs ≤45.5, years, < 0.034) and the presence of bone metastases ( = 0.04). Higher values for the F-FDG and F-OC volumetric parameters and the NETPET grade were adverse factors for PFS according to the dual-imaging PET parameters. In the multivariate survival analysis, the NETPET grade and SRE were predictors of PFS in NEN patients.
The NETPET grade is a potential noninvasive prognostic biomarker for NENs.
为了确定基于双成像 F-AlF-NOTA-奥曲肽(F-OC)和 18-氟脱氧葡萄糖(F-FDG)正电子发射断层扫描(PET)的参数,以预测神经内分泌肿瘤(NEN)的预后。
我们进行了一项回顾性研究,共纳入 66 名(年龄:均数±标准差(SD):51.8±11.8 岁)同时接受 F-OC 和 F-FDG PET/CT 成像的患者。测量了以下 PET 参数:最大标准化摄取值(SUV)和容积参数-F-OC SSR 衍生肿瘤体积(TV)和生长抑素受体表达(SRE,SUV 乘以平均 SUV)和 F-FDG 衍生的多个肿瘤体积(MTV)和肿瘤病变糖酵解(TLG)。根据双成像 PET 图像评估 NETPET 分级。无进展生存期(PFS)作为终点。对 PET 参数和临床肿瘤数据进行单变量和多变量生存分析。
在临床信息的单变量生存分析中,PFS 与年龄(>45.5 岁与≤45.5 岁,<0.034)和骨转移的存在显著相关(=0.04)。根据双成像 PET 参数,F-FDG 和 F-OC 容积参数以及 NETPET 分级较高是 PFS 的不良因素。在多变量生存分析中,NETPET 分级和 SRE 是 NEN 患者 PFS 的预测因素。
NETPET 分级是 NEN 的一种潜在的无创预后生物标志物。