TY - JOUR AU - Ammari, Samy AU - Pitre-Champagnat, Stephanie AU - Dercle, Laurent AU - Chouzenoux, Emilie AU - Moalla, Salma AU - Reuze, Sylvain AU - Talbot, Hugues AU - Mokoyoko, Tite AU - Hadchiti, Joya AU - Diffetocq, Sebastien AU - Volk, Andreas AU - El Haik, Mickeal AU - Lakiss, Sara AU - Balleyguier, Corinne AU - Lassau, Nathalie AU - Bidault, Francois PY - 2021 M3 - Original Research TI - Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study JO - Frontiers in Oncology UR - https://www.frontiersin.org/articles/10.3389/fonc.2020.541663 VL - 10 SN - 2234-943X N2 - BackgroundThe development and clinical adoption of quantitative imaging biomarkers (radiomics) has established the need for the identification of parameters altering radiomics reproducibility. The aim of this study was to assess the impact of magnetic field strength on magnetic resonance imaging (MRI) radiomics features in neuroradiology clinical practice.MethodsT1 3D SPGR sequence was acquired on two phantoms and 10 healthy volunteers with two clinical MR devices from the same manufacturer using two different magnetic fields (1.5 and 3T). Phantoms varied in terms of gadolinium concentrations and textural heterogeneity. 27 regions of interest were segmented (phantom: 21, volunteers: 6) using the LIFEX software. 34 features were analyzed.ResultsIn the phantom dataset, 10 (67%) out of 15 radiomics features were significantly different when measured at 1.5T or 3T (student’s t-test, p < 0.05). Gray levels resampling, and pixel size also influence part of texture features. These findings were validated in healthy volunteers.ConclusionsAccording to daily used protocols for clinical examinations, radiomic features extracted on 1.5T should not be used interchangeably with 3T when evaluating texture features. Such confounding factor should be adjusted when adapting the results of a study to a different platform, or when designing a multicentric trial. ER -