Refining M1-Stage Stratification in De Novo Metastatic Nasopharyngeal Carcinoma Using 18F-FDG PET/CT: Preliminary Evidence

利用 18F-FDG PET/CT 优化原发转移性鼻咽癌 M1 期分层:初步证据

阅读:1

Abstract

PURPOSE: To validate the American Joint Committee on Cancer (AJCC) 9th edition M1-stage subdivision for de novo metastatic nasopharyngeal carcinoma (DM-NPC) and explore preliminary evidence for a refined classification using 18F-FDG positron emission tomography/computed tomography (PET/CT)-derived metastatic burden. PATIENTS AND METHODS: A retrospective cohort of 185 DM-NPC patients diagnosed between 2000 and 2022, who underwent pretreatment 18F-FDG PET/CT, was analyzed. Recursive partitioning analysis (RPA) identified prognostic cutoffs for metastatic lesions. Survival outcomes were compared between AJCC 9th edition M1 subgroups (M1a: ≤3 lesions; M1b: >3 lesions) and a redefined PET-based classification (Rd-M1a: single-organ, ≤4 lesions; Rd-M1b: >5 lesions or multiorgan). RESULTS: Patients with single-organ metastases and ≤4 lesions showed potentially superior overall survival (OS) (2-y OS: 60.4% vs. 29.0%; 3-y OS: 46.2% vs. 19.6%; P<0.001). Higher metastatic burden (>5 lesions) was independently associated with worse OS (HR: 1.81; 95% CI: 1.24-2.64; P=0.002). The redefined classification suggested better prognostic discrimination than the AJCC 9th edition (C-index: 0.594 vs. 0.562; AUC at 36 mo: 0.649 vs. 0.598). Patients classified as Rd-M1b had a significantly unfavorable OS compared with those in the Rd-M1a group (HR: 2.02, 95% CI: 1.39-2.92; P=0.002). CONCLUSIONS: These preliminary findings suggest that 18F-FDG PET/CT may enhance M1-stage stratification by quantifying metastatic burden and distribution in patients with DM-NPC, potentially offering improved prognostic accuracy. However, as a single-institution retrospective study, external validation is essential to confirm these observations and guide personalized treatment strategies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。