鼻咽癌监测策略的最新进展
Recent Advances in Surveillance Strategies for Nasopharyngeal Carcinoma.
文献信息
| PMID | 42745122 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Rong Zhang |
| 作者单位 | Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Chinese Academy of Sciences, Hangzhou, China. |
| 期刊 | Current oncology reports |
| SCI 分区 | Q1 |
| IF | 5.6 |
| 研究类型 | 综述 Meta · 临床 |
| 所属专科 | 鼻咽癌 |
中文摘要
目的回顾： 鼻咽癌（NPC）是一种具有独特地理分布的恶性肿瘤。有效的监测对于早期发现复发或转移以及改善患者预后至关重要。本综述系统性地审视了当前NPC随访方案及最新进展，以期为个体化精准监测提供依据。
最新发现： 本综述聚焦于两个主要方面。1）我们比较并分析了当前主要的NPC随访指南，关键讨论涵盖随访频率、影像学检查方式（包括磁共振成像[MRI]和正电子发射断层扫描[PET]）、血浆EB病毒DNA（EBV-DNA）监测以及功能评估。2）我们阐述了基因组学、影像组学和人工智能在NPC监测中的应用前景与研究进展。研究表明，风险分层、个体化的随访策略，例如基于条件生存模型的策略，可以提高监测的成本效益。此外，包括影像组学和人工智能在内的新兴技术，在改善NPC复发风险评估、预后分层和个体化监测方面显示出前景。同时，基因组学和影像组学的进展为预测并发症和指导治疗调整提供了新机遇。未来的努力应侧重于整合多学科专业知识，开发动态监测系统，以实现精准随访并最终改善患者的生存结局。
英文摘要
PURPOSE OF REVIEW: Nasopharyngeal carcinoma (NPC) is a malignant tumor characterized by a distinct geographical distribution. Effective surveillance is crucial for the early detection of recurrence or metastasis and for improving patient prognosis.This review systematically examines current NPC follow-up protocols and recent developments to inform individualized precision surveillance.
RECENT FINDINGS: This review focuses on two main aspects. 1) We compare and analyze current major NPC follow-up guidelines, with key discussions covering follow-up frequency, imaging modalities (including magnetic resonance imaging [MRI] and positron emission tomography [PET]), plasma Epstein-Barr virus DNA (EBV-DNA) monitoring, and functional assessments. 2)We elaborate on the application prospects and research progress of genomics, radiomics, and artificial intelligence in NPC surveillance. Studies suggest that risk-stratified, individualized follow-up strategies, such as those based on conditional survival models, can enhance the cost-effectiveness of surveillance. Additionally, emerging technologies, including radiomics and artificial intelligence, show promise for improving recurrence risk assessment, prognostic stratification, and individualized surveillance in NPC. Concurrently, advances in genomics and radiomics offer new opportunities for predicting complications and guiding treatment adjustments. Future efforts should focus on integrating multidisciplinary expertise to develop dynamic monitoring systems that enable precise follow-up and ultimately improve patient survival outcomes.