期刊
EUROPEAN RADIOLOGY
卷 33, 期 3, 页码 1884-1894出版社
SPRINGER
DOI: 10.1007/s00330-022-09187-3
关键词
Systematic review; Diagnostic imaging; Big data; Radiomics; Radiomics quality score
This systematic review aims to provide a comprehensive overview of Radiomics Quality Score (RQS)-based systematic reviews and evaluate the relationship between RQS and review features. The results indicate that the quality of radiomic articles reported in systematic reviews does not differ significantly between different subgroups, and the overall methodological quality of radiomics research is low.
Objective The main aim of the present systematic review was a comprehensive overview of the Radiomics Quality Score (RQS)-based systematic reviews to highlight common issues and challenges of radiomics research application and evaluate the relationship between RQS and review features. Methods The literature search was performed on multiple medical literature archives according to PRISMA guidelines for systematic reviews that reported radiomic quality assessment through the RQS. Reported scores were converted to a 0-100% scale. The Mann-Whitney and Kruskal-Wallis tests were used to compare RQS scores and review features. Results The literature research yielded 345 articles, from which 44 systematic reviews were finally included in the analysis. Overall, the median of RQS was 21.00% (IQR = 11.50). No significant differences of RQS were observed in subgroup analyses according to targets (oncological/not oncological target, neuroradiology/body imaging focus and one imaging technique/more than one imaging technique, characterization/prognosis/detection/other). Conclusions Our review did not reveal a significant difference of quality of radiomic articles reported in systematic reviews, divided in different subgroups. Furthermore, low overall methodological quality of radiomics research was found independent of specific application domains. While the RQS can serve as a reference tool to improve future study designs, future research should also be aimed at improving its reliability and developing new tools to meet an ever-evolving research space.
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