Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Autor: Ter Maat LS; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., De Mooij RAJ; Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Van Duin IAJ; Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Verhoeff JJC; Department of Radiotherapy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Elias SG; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Leiner T; Department of Radiology, Mayo Clinical, Rochester, MN, USA., van Amsterdam WAC; Department of Data Science and Biostatistics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Troenokarso MF; Utrecht University, Utrecht, The Netherlands., Arntz ERAN; Utrecht University, Utrecht, The Netherlands., Van den Berkmortel FWPJ; Department of Medical Oncology, Zuyderland Medical Center, Sittard-Geleen, The Netherlands., Boers-Sonderen MJ; Department of Medical Oncology, Radboudumc, Radboud University, Nijmegen, The Netherlands., Boomsma MF; Department of Radiology, Isala Zwolle, Zwolle, The Netherlands., Van den Eertwegh FJM; Department of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands., de Groot JW; Isala Oncology Center, Isala Zwolle, Zwolle, The Netherlands., Hospers GAP; Department of Medical Oncology, UMC Groningen, University of Groningen, Groningen, The Netherlands., Piersma D; Department of Medical Oncology, Medisch Spectrum Twente, Enschede, The Netherlands., Vreugdenhil A; Department of Medical Oncology, Maxima Medical Center, Veldhoven, The Netherlands., Westgeest HM; Department of Internal Medicine, Amphia Hospital, Breda, The Netherlands., Kapiteijn E; Department of Medical Oncology, Leiden University Medical Center, Leiden University, Leiden, The Netherlands., De Wit AA; Department of Public Health, Healthcare Innovation and Evaluation and Medical Humanities, Julius Center Research Program Methodology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Blokx WAM; Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Van Diest PJ; Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., De Jong PA; Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Pluim JPW; Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.; Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Suijkerbuijk KPM; Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. k.suijkerbuijk@umcutrecht.nl., Veta M; Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Publikováno v: Scientific reports [Sci Rep] 2024 Dec 30; Vol. 14 (1), pp. 31668. Date of Electronic Publication: 2024 Dec 30.