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神经内分泌肿瘤转移灶中组织病理学分级与双示踪剂 PET/CT 结果的不一致性及 Lu-DOTATATE PRRT 的疗效:从预测肿瘤生物学的角度看,体内分子 PET 表现更好吗?

Discordance Between Histopathologic Grading and Dual-Tracer PET/CT Findings in Metastatic NETs and Outcome of Lu-DOTATATE PRRT: Does In Vivo Molecular PET Perform Better from the Viewpoint of Prediction of Tumor Biology?

机构信息

Radiation Medicine Centre, Bhabha Atomic Research Centre, Tata Memorial Hospital, Mumbai, India; and.

Homi Bhabha National Institute, Mumbai, India.

出版信息

J Nucl Med Technol. 2022 Sep;50(3):248-255. doi: 10.2967/jnmt.121.261998. Epub 2021 Dec 7.

Abstract

Discordance between histopathologic grading and dual-tracer PET/CT (Ga-DOTATATE and F-FDG) findings in neuroendocrine tumors (NETs), though not typical, can be encountered in real-world scenarios. The aim of this study was to assess patients with discordance between World Health Organization (WHO) 2017 grade-predicted molecular PET/CT imaging and the actual dual-tracer PET/CT findings (by exploring their histopathologic, immunohistochemical, and molecular imaging characteristics), with a view toward identifying the prognostic determinants affecting outcome in a peptide receptor radionuclide therapy setup. Thirty-six patients with histopathologically proven inoperable, locally advanced or metastatic NETs, referred for peptide receptor radionuclide therapy, were included in this study. The cohort was divided into 2 broad population groups: those with discordance (between WHO 2017 grade-predicted molecular imaging and the dual-tracer PET/CT findings) and control (showing both F-FDG and GaDOTATATE uptake). The cohort was divided on the basis of dual-tracer PET/CT into 3 groups: metabolically inactive (non-F-FDG-avid) and somatostatin receptor (SSTR)-expressing tumors, metabolically active (F-FDG-avid) and non-GaDOTATATE-concentrating (non-SSTR-expressing) tumors, and matched imaging characteristics with the WHO 2017 grading system (showing both F-FDG- and GaDOTATATE-concentrating disease) for statistical analysis. Descriptive statistics were used to analyze categoric data; multivariate analysis was used to assess the correlation between different variables with progression-free survival (PFS) and overall survival (OS). Kaplan-Meier curves were used for survival analysis to calculate median survival and to analyze survival on the basis of WHO 2017 grading and dual-tracer PET. Cox proportional hazards regression analysis was used to determine predictors of survival (OS and PFS). Of the 36-patient cohort, 24 (66.7%) showed discordance and 12 (33.3%) were in the control group. Among those showing discordance: 14 (38.9%) had metabolically inactive and SSTR-expressing disease and the remaining 10 (27.8%) had F-FDG-concentrating and non-SSTR-expressing disease. Among those in the control group, 12 (33.3%) had intermediate-grade NETs and showed matched (Ga-DOTATATE- and F-FDG-concentrating lesions) disease. Multivariate analysis in patients with discordant findings showed a significant correlation of dual-tracer PET with OS, whereas no significant correlation could be established between WHO grade and OS in the discordant subgroups. No significant correlation could be appreciated between PFS and either dual-tracer PET or WHO grading. The Kaplan-Meier analysis and Cox analysis showed dual-tracer PET/CT imaging to be a significant prognostic determinant and predictor of outcome, respectively. In NET patients with discordance between the 2 parameters, dual-tracer PET/CT with F-FDG and Ga-DOTATATE performed better than WHO grading, differentiation status, and immunohistochemistry in prognosticating and predicting outcome.

摘要

在真实世界的情况下,虽然不常见,但在神经内分泌肿瘤 (NET) 中可以观察到组织病理学分级与双重示踪剂 PET/CT(Ga-DOTATATE 和 F-FDG)结果之间的不相符。本研究的目的是评估组织病理学分级预测的分子 PET/CT 成像与实际双重示踪剂 PET/CT 结果之间存在不相符的患者(通过探索其组织病理学、免疫组织化学和分子成像特征),以期确定影响肽受体放射性核素治疗结果的预后决定因素。

本研究纳入了 36 名经组织病理学证实无法手术的局部晚期或转移性 NET 患者,这些患者均接受肽受体放射性核素治疗。该队列分为 2 个广泛的人群组:存在不相符(组织病理学分级预测的分子成像与双重示踪剂 PET/CT 结果之间)和对照组(均显示 F-FDG 和 GaDOTATATE 摄取)。该队列基于双重示踪剂 PET/CT 分为 3 组:代谢不活跃(非 F-FDG 阳性)和生长抑素受体 (SSTR) 表达肿瘤、代谢活跃(F-FDG 阳性)且不浓缩 GaDOTATATE(非 SSTR 表达)肿瘤,以及与 WHO 2017 分级系统匹配的成像特征(均显示 F-FDG 和 GaDOTATATE 浓缩疾病),用于统计分析。描述性统计用于分析分类数据;多变量分析用于评估不同变量与无进展生存期 (PFS) 和总生存期 (OS) 之间的相关性。Kaplan-Meier 曲线用于生存分析,以计算中位生存期,并基于 WHO 2017 分级和双重示踪剂 PET 分析生存。Cox 比例风险回归分析用于确定生存(OS 和 PFS)的预测因素。

在 36 名患者队列中,24 名(66.7%)存在不相符,12 名(33.3%)为对照组。在存在不相符的患者中:14 名(38.9%)存在代谢不活跃且 SSTR 表达疾病,其余 10 名(27.8%)存在 F-FDG 浓缩且非 SSTR 表达疾病。在对照组中,12 名(33.3%)为中等级 NETs,且存在匹配(Ga-DOTATATE 和 F-FDG 浓缩病变)疾病。在存在不相符发现的患者中进行的多变量分析显示,双重示踪剂 PET 与 OS 显著相关,而在不相符亚组中,WHO 分级与 OS 之间未建立显著相关性。在 PFS 方面未观察到与双重示踪剂 PET 或 WHO 分级有显著相关性。Kaplan-Meier 分析和 Cox 分析显示,双重示踪剂 PET/CT 成像分别是显著的预后决定因素和预测因素。

在组织病理学分级与双重示踪剂摄取之间存在不相符的 NET 患者中,与 WHO 分级、分化状态和免疫组织化学相比,双重示踪剂 PET/CT 联合 F-FDG 和 Ga-DOTATATE 在预后和预测结果方面表现更好。

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