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Deciphering the Prognostic Efficacy of MRI Radiomics in Nasopharyngeal Carcinoma: A Comprehensive Meta-Analysis.
Wang, Chih-Keng; Wang, Ting-Wei; Lu, Chia-Fung; Wu, Yu-Te; Hua, Man-Wei.
Afiliação
  • Wang CK; School of Medicine, College of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan.
  • Wang TW; Department of Otolaryngology-Head and Neck Surgery, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
  • Lu CF; School of Medicine, College of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan.
  • Wu YT; Institute of Biophotonics, National Yang-Ming Chiao Tung University, 155, Sec. 2, Li-Nong St. Beitou Dist., Taipei 112304, Taiwan.
  • Hua MW; Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan.
Diagnostics (Basel) ; 14(9)2024 Apr 29.
Article em En | MEDLINE | ID: mdl-38732337
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Taiwan País de publicação: CH / SUIZA / SUÍÇA / SWITZERLAND

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Taiwan País de publicação: CH / SUIZA / SUÍÇA / SWITZERLAND