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解读MRI影像组学在鼻咽癌中的预后效能:一项综合荟萃分析

Deciphering the Prognostic Efficacy of MRI Radiomics in Nasopharyngeal Carcinoma: A Comprehensive Meta-Analysis.

作者信息

Wang Chih-Keng, Wang Ting-Wei, Lu Chia-Fung, Wu Yu-Te, Hua Man-Wei

机构信息

School of Medicine, College of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan.

Department of Otolaryngology-Head and Neck Surgery, Taichung Veterans General Hospital, Taichung 407219, Taiwan.

出版信息

Diagnostics (Basel). 2024 Apr 29;14(9):924. doi: 10.3390/diagnostics14090924.

Abstract

This meta-analysis investigates the prognostic value of MRI-based radiomics in nasopharyngeal carcinoma treatment outcomes, specifically focusing on overall survival (OS) variability. The study protocol was registered with INPLASY (INPLASY202420101). Initially, a systematic review identified 15 relevant studies involving 6243 patients through a comprehensive search across PubMed, Embase, and Web of Science, adhering to PRISMA guidelines. The methodological quality was assessed using the Quality in Prognosis Studies (QUIPS) tool and the Radiomics Quality Score (RQS), highlighting a low risk of bias in most domains. Our analysis revealed a significant average concordance index (c-index) of 72% across studies, indicating the potential of radiomics in clinical prognostication. However, moderate heterogeneity was observed, particularly in OS predictions. Subgroup analyses and meta-regression identified validation methods and radiomics software as significant heterogeneity moderators. Notably, the number of features in the prognosis model correlated positively with its performance. These findings suggest radiomics' promising role in enhancing cancer treatment strategies, though the observed heterogeneity and potential biases call for cautious interpretation and standardization in future research.

摘要

这项荟萃分析研究了基于MRI的放射组学在鼻咽癌治疗结局中的预后价值,特别关注总生存期(OS)的变异性。该研究方案已在INPLASY(INPLASY202420101)注册。最初,一项系统评价通过全面检索PubMed、Embase和Web of Science,按照PRISMA指南确定了15项涉及6243例患者的相关研究。使用预后研究质量(QUIPS)工具和放射组学质量评分(RQS)评估方法学质量,结果表明大多数领域的偏倚风险较低。我们的分析显示,各研究的平均一致性指数(c指数)显著为72%,表明放射组学在临床预后评估中的潜力。然而,观察到中度异质性,尤其是在OS预测方面。亚组分析和meta回归确定验证方法和放射组学软件是显著的异质性调节因素。值得注意的是,预后模型中的特征数量与其性能呈正相关。这些发现表明放射组学在优化癌症治疗策略方面具有广阔前景,不过观察到的异质性和潜在偏倚要求在未来研究中进行谨慎解读和标准化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1df/11082984/27774cd34a78/diagnostics-14-00924-g001.jpg

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