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

被引:0
|
作者
Wang, Chih-Keng [1 ,2 ]
Wang, Ting-Wei [1 ,3 ]
Lu, Chia-Fung [4 ]
Wu, Yu-Te [3 ]
Hua, Man-Wei [2 ]
机构
[1] Natl Yang Ming Chiao Tung Univ, Coll Med, Sch Med, Taipei 112304, Taiwan
[2] Taichung Vet Gen Hosp, Dept Otolaryngol Head & Neck Surg, Taichung 407219, Taiwan
[3] Natl Yang Ming Chiao Tung Univ, Inst Biophoton, 155,Sec 2,Li-Nong St, Taipei 112304, Taiwan
[4] Natl Yang Ming Chiao Tung Univ, Dept Biomed Imaging & Radiol Sci, Taipei 112304, Taiwan
关键词
radiomics; prognostic models; meta-analysis; survival; PLUS CONCURRENT CHEMORADIOTHERAPY; PROGRESSION-FREE SURVIVAL; INDUCTION CHEMOTHERAPY; RESPONSE PREDICTION; NOMOGRAM; INFORMATION; VALIDATION; RECURRENCE; FEATURES; MODELS;
D O I
10.3390/diagnostics14090924
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
    Bao, Dan
    Zhao, Yanfeng
    Liu, Zhou
    Zhong, Hongxia
    Geng, Yayuan
    Lin, Meng
    Li, Lin
    Zhao, Xinming
    Luo, Dehong
    [J]. DISCOVER ONCOLOGY, 2021, 12 (01)
  • [2] Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
    Dan Bao
    Yanfeng Zhao
    Zhou Liu
    Hongxia Zhong
    Yayuan Geng
    Meng Lin
    Lin Li
    Xinming Zhao
    Dehong Luo
    [J]. Discover Oncology, 12
  • [3] MRI Based Radiomics Signature, a Quantitative Prognostic Biomarker for Nasopharyngeal Carcinoma
    Ming, X.
    Ying, H.
    Huang, R.
    Wang, J.
    Hu, W.
    Zhang, Z.
    Zhai, R.
    Kong, F.
    Ou, X.
    Hu, C.
    He, X.
    Shen, C.
    Wang, X.
    Du, C.
    Xu, T.
    [J]. MEDICAL PHYSICS, 2017, 44 (06) : 3158 - 3159
  • [4] MRI-based radiomics signature is a quantitative prognostic biomarker for nasopharyngeal carcinoma
    Xue Ming
    Ronald Wihal Oei
    Ruiping Zhai
    Fangfang Kong
    Chengrun Du
    Chaosu Hu
    Weigang Hu
    Zhen Zhang
    Hongmei Ying
    Jiazhou Wang
    [J]. Scientific Reports, 9
  • [5] Prognostic role of serum lactate dehydrogenase in nasopharyngeal carcinoma: a meta-analysis
    Li, Hongxia
    Feng, Xuefei
    Li, Wei
    Zhu, Ling
    Zhu, Jiang
    [J]. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2016, 9 (11): : 20846 - 20855
  • [6] Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma
    Zhang, Bin
    Tian, Jie
    Dong, Di
    Gu, Dongsheng
    Dong, Yuhao
    Zhang, Lu
    Lian, Zhouyang
    Liu, Jing
    Luo, Xiaoning
    Pei, Shufang
    Mo, Xiaokai
    Huang, Wenhui
    Ouyang, Fusheng
    Guo, Baoliang
    Liang, Long
    Chen, Wenbo
    Liang, Changhong
    Zhang, Shuixing
    [J]. CLINICAL CANCER RESEARCH, 2017, 23 (15) : 4259 - 4269
  • [7] MRI-based radiomics signature is a quantitative prognostic biomarker for nasopharyngeal carcinoma
    Ming, Xue
    Oei, Ronald Wihal
    Zhai, Ruiping
    Kong, Fangfang
    Du, Chengrun
    Hu, Chaosu
    Hu, Weigang
    Zhang, Zhen
    Ying, Hongmei
    Wang, Jiazhou
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [8] Prognostic value of matrix metalloproteinase 9 in nasopharyngeal carcinoma: a meta-analysis
    Liao, Dan
    Huang, Haohai
    Zhu, Zhu
    Li, Tong
    Li, Huahui
    Huang, Guo-Liang
    He, Zhiwei
    [J]. MINERVA MEDICA, 2016, 107 (01) : 54 - 61
  • [9] MRI detection of suspected nasopharyngeal carcinoma: a systematic review and meta-analysis
    Gorolay, Vineet Vijay
    Niles, Naomi Natasha
    Huo, Ya Ruth
    Ahmadi, Navid
    Hanneman, Kate
    Thompson, Elizabeth
    Chan, Michael Vinchill
    [J]. NEURORADIOLOGY, 2022, 64 (08) : 1471 - 1481
  • [10] The MRI Radiomics Features Analysis of Hypoxia Target in Nasopharyngeal Carcinoma
    Kong, X.
    Li, T.
    Yin, Y.
    [J]. MEDICAL PHYSICS, 2018, 45 (06) : E385 - E385