Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study.

"Declarations GuarantorThe scientific guarantor of this publication is Dr. Ahmed Ba-Ssalamah. Conflict of interest The authors of this manuscript declare relationships with the following companies: Nina Bastati: nothing to disclose. Daniel Sobotka: funding by Novartis Pharmaceuticals Corporation. Matthias Perkonigg: funding by Novartis Pharmaceuticals Corporation.Ahmed Ba-Ssalamah: honoraria for consulting from Bayer, speaker fees from Bayer and Siemens. Sarah Poetter-Lang: nothing to disclose. Romana Fragner: nothing to disclose. Andrea Beer: nothing to disclose. Alina Messner: nothing to disclose. Martin Watzenboeck: nothing to disclose. Svitlana Pochepnia: nothing to disclose. Jakob Kittinger: nothing to disclose. Alexander Herold: nothing to disclose. Jacqueline C. Hodge: nothing to disclose. Stefan Traussnig: nothing to disclose. Siegfried Trattnig: nothing to disclose. Michael Trauner: received grant support from Albireo, Cymabay, Falk, Gilead, Intercept, MSD, and Takeda, honoraria for consulting from BiomX, Boehringer Ingelheim, Falk, Genfit, Gilead, Intercept, Janssen, MSD, Novartis, Phenex, and Regulus, speaker fees from BMS, Falk, Gilead, Intercept, and MSD, as well as travel support from Abbvie, Falk, Gilead, and Intercept. Georg Langs: funding by Novartis Pharmaceuticals Corporation. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. Statistics and biometryDr. Michael Weber kindly provided statistical advice for this manuscript. Informed consentWritten informed consent was obtained from all subjects (patients) in this study. Ethical approvalInstitutional Review Board approval was obtained. Ethics commission (EK), Nr: 1073/ 2010 Titel: 3Tesla vs. 7 Tesla MRI of the liver. Study subjects or cohort overlapSome study subjects or cohorts have been previously reported in “Application of localized 31P MRS saturation transfer at 7 T for measurement of ATP metabolism in the liver: reproducibility and initial clinical application in patients with non-alcoholic fatty liver disease” published in Eur Radiol (2014) 24: 1602–1609. This study has nothing to do with RLE, FF, and UDC or AI. Methodology• prospective• observational• performed at one institution Conflict of interest The authors of this manuscript declare relationships with the following companies: Nina Bastati: nothing to disclose. Daniel Sobotka: funding by Novartis Pharmaceuticals Corporation. Matthias Perkonigg: funding by Novartis Pharmaceuticals Corporation. Ahmed Ba-Ssalamah: honoraria for consulting from Bayer, speaker fees from Bayer and Siemens. Sarah Poetter-Lang: nothing to disclose. Romana Fragner: nothing to disclose. Andrea Beer: nothing to disclose. Alina Messner: nothing to disclose. Martin Watzenboeck: nothing to disclose. Svitlana Pochepnia: nothing to disclose. Jakob Kittinger: nothing to disclose. Alexander Herold: nothing to disclose. Jacqueline C. Hodge: nothing to disclose. Stefan Traussnig: nothing to disclose. Siegfried Trattnig: nothing to disclose. Michael Trauner: received grant support from Albireo, Cymabay, Falk, Gilead, Intercept, MSD, and Takeda, honoraria for consulting from BiomX, Boehringer Ingelheim, Falk, Genfit, Gilead, Intercept, Janssen, MSD, Novartis, Phenex, and Regulus, speaker fees from BMS, Falk, Gilead, Intercept, and MSD, as well as travel support from Abbvie, Falk, Gilead, and Intercept. Georg Langs: funding by Novartis Pharmaceuticals Corporation. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article."

"Funding Open access funding provided by Medical University of Vienna. Part of this study was funded by Novartis Pharmaceuticals Corporation for Georg Langs and Matthias Perkonigg in the Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria."