Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

Autor: Bozgo V; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Roest C; Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., van Oort I; Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands., Yakar D; Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Huisman H; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway., de Rooij M; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. maarten.derooij@radboudumc.nl.

Publikováno v: European radiology [Eur Radiol] 2024 Jun 27. Date of Electronic Publication: 2024 Jun 27.

Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study.

Autor: Twilt JJ; Minimally Invasive Image-Guided Intervention Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: jasper.twilt@radboudumc.nl., Saha A; Minimally Invasive Image-Guided Intervention Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Bosma JS; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., van Ginneken B; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Bjartell A; Department of Urology, Skåne University Hospital, Lund, Sweden; Division of Translational Cancer Research, Lund University Cancer Centre, Lund, Sweden., Padhani AR; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, UK., Bonekamp D; Division of Radiology, Deutsches Krebsforschungszentrum, Heidelberg, Germany., Villeirs G; Department of Diagnostic Sciences, Ghent University Hospital, Ghent, Belgium., Salomon G; Martini Clinic, Prostate Cancer Center, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany., Giannarini G; Urology Unit, Santa Maria della Misericordia University Hospital, Udine, Italy., Kalpathy-Cramer J; Division of Artificial Medical Intelligence in Ophthalmology, University of Colorado, Boulder, CO, USA., Barentsz J; Department of Medical Imaging, Andros Clinics, Amsterdam, The Netherlands., Maier-Hein KH; Division of Medical Image Computing, Deutsches Krebsforschungszentrum, Heidelberg, Germany; Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany., Rusu M; Departments of Radiology, Urology and Biomedical Data Science, Stanford University, Stanford, CA, USA., Rouvière O; Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France; Faculté de Médecine Lyon-Est, Université Lyon 1, Université de Lyon, Lyon, France., van den Bergh R; Department of Urology, Erasmus Medical Center, Rotterdam, The Netherlands., Panebianco V; Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy., Kasivisvanathan V; Division of Surgery and Interventional Sciences, University College London and University College London Hospital, London, UK., Obuchowski NA; Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, OH, USA; Department of Diagnostic Radiology, Cleveland Clinic Foundation, Cleveland, OH, USA., Yakar D; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Elschot M; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Veltman J; Department of Radiology, Ziekenhuisgroep Twente, Almelo, The Netherland; Department of Multi-Modality Medical Imaging, Technical Medical Centre, University of Twente, Enschede, The Netherlands., Fütterer JJ; Minimally Invasive Image-Guided Intervention Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Huisman H; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway., de Rooij M; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

Publikováno v: European urology [Eur Urol] 2024 Oct 21. Date of Electronic Publication: 2024 Oct 21.

The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRI.

Autor: Bleker J; Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., Roest C; Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands., Yakar D; Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.; Department of Radiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Amsterdam, The Netherlands., Huisman H; Department of Medical Imaging, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands., Kwee TC; Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Publikováno v: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 May; Vol. 59 (5), pp. 1800-1806. Date of Electronic Publication: 2023 Aug 12.

Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer Detection.

Autor: Roest C; From the Department of Radiology, Medical Imaging Center, University Medical Center Groningen, Groningen, the Netherlands (C.R., D.Y., D.I.R.S., S.J.F., T.C.K.); Department of Radiology, Netherlands Cancer Center Antoni van Leeuwenhoek, Amsterdam, the Netherlands (D.Y.); Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands (J.S.B., H.H.); and Department of Radiology, Martini Ziekenhuis Groningen, Groningen, the Netherlands (D.B.R.)., Yakar D, Rener Sitar DI, Bosma JS, Rouw DB, Fransen SJ, Huisman H, Kwee TC

Publikováno v: Investigative radiology [Invest Radiol] 2024 Dec 01; Vol. 59 (12), pp. 854-860. Date of Electronic Publication: 2024 Jul 29.

What makes a good scientific presentation on artificial intelligence in medical imaging?

Autor: Fransen SJ; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands. Electronic address: s.j.fransen@umcg.nl., van Lohuizen Q; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands., Roest C; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands., Yakar D; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands., Kwee TC; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands.

Publikováno v: Clinical imaging [Clin Imaging] 2024 Aug; Vol. 112, pp. 110212. Date of Electronic Publication: 2024 Jun 01.