METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII.
Burak KoçakTugba Akinci D'AntonoliNathaniel D MercaldoÁngel Alberich-BayarriBettina BaeßlerIlaria AmbrosiniAnna E AndreychenkoSpyridon BakasRegina G H Beets-TanKeno Kyrill BressemIrène BuvatRoberto CannellaLuca Alessandro CappelliniArmando Ugo CavalloLeonid L ChepelevLinda Chi Hang ChuAydin DemircioğluNandita M deSouzaMatthias DietzelSalvatore Claudio FanniAndriy Y FedorovLaure S FournierValentina GianniniRossano GiromettiKevin B W Groot LipmanGeorgios KalarakisBrendan S KellyMichail E KlontzasDow-Mu KohElmar KotterHo Yun LeeMario MaasLuis Martí-BonmatíHenning MullerNancy A ObuchowskiFanny OrlhacNickolas PapanikolaouEkaterina PetrashElisabeth A G PfaehlerDaniel Pinto Dos SantosAndrea PonsiglioneSebastia' SabaterFrancesco SardanelliPhilipp SeeböckNanna M SijtsemaArnaldo StanzioneAlberto TraversoLorenzo UggaMartin VallièresLisanne V van DijkJoost J M van GriethuysenRobbert Willem van HamersveltPeter M A van OoijenFederica VernuccioAlan WangStuart WilliamsJan WitowskiZhongyi ZhangAlexander ZwanenburgRenato CuocoloPublished in: Insights into imaging (2024)
• A methodological scoring tool, METRICS, was developed for assessing the quality of radiomics research, with a large international expert panel and a modified Delphi protocol. • The proposed scoring tool presents expert opinion-based importance weights of categories and items with a transparent methodology for the first time. • METRICS accounts for varying use cases, from handcrafted radiomics to entirely deep learning-based pipelines. • A web application has been developed to help with the calculation of the METRICS score ( https://metricsscore.github.io/metrics/METRICS.html ) and a repository created to collect feedback from the radiomics community ( https://github.com/metricsscore/metrics ).