PANCAIM - Pancreatic Cancer AI for Genomics and Personalized Medicine
Published January 31, 2024 | Version v1
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The PANORAMA Study Protocol: Pancreatic Cancer Diagnosis - Radiologists Meet AI

Creators

  • 1. Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
  • 2. Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands
  • 3. Karolinska Institutet, Stockholm, Sweden
  • 4. Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
  • 5. Department of Pathology, Haukeland University Hospital, Bergen, Norway

Contributors

  • 1. Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
  • 2. The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline St, Baltimore, MD 21287, USA
  • 3. Department of Pathology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
  • 4. Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  • 5. Ontario Institute for Cancer Research, Toronto, ON, Canada
  • 6. Radiology Department, Champalimaud Clinical Centre, Champalimaud Foundation, Av. Brasília, 1400-038, Lisbon, Portugal
  • 7. Divisions of Abdominal and Nuclear Imaging, Nuclear Radiology Fellowship, Nuclear Radiology Research Operations, Enterprise PET/MR Research and Development, Department of Radiology, Mayo Clinic, Rochester, MN, USA
  • 8. Division of Medical Image Computing, German Cancer Research Center, Im Neuenheimer Feld 280, Heidelberg, 69120, Baden-Wuerttemberg, Germany
  • 9. Institute for Digital Medicine, Fraunhofer MEVIS, Bremen, Germany
  • 10. Department for Upper Abdominal Diseases, Karolinska University Hospital, 141 86 Stockholm, Sweden
  • 11. Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan
  • 12. Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
  • 13. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
  • 14. Founder Pancreatic Cancer Action, Board Member Pancreatic Cancer Europe

Description

This publication presents the preregistration of the PANORAMA study protocol, including the BIAS checklist for transparent reporting of biomedical image analysis challenges.

The PANORAMA study is a new prospectively designed multi-center study to assess the performance of both radiologists and AI at PDAC detection in routine abdominal CECT scans. PANORAMA’s goals are threefold:

  1. To establish the clinical baseline performance of radiologists at PDAC detection through a large-scale, international reader study
  2. To establish the state-of-the-art AI performance at PDAC detection through an international AI grand-challenge
  3. To compare AI and radiologists, with the end goal of obtaining substantial evidence to start implementing AI to help find PDAC earlier

Key aspects of the PANORAMA study protocol have been established in conjunction with an international scientific advisory board of 13 multidisciplinary experts on pancreas AI, clinical workflows, and statistics, as well as a patient representative, to ensure the development and validation of meaningful AI towards clinical translation (Reinke et al., 2021).

Notes

Natália Alves and Megan Schuurmans contributed equally to this work.

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PANORAMA Study Protocol.pdf

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Additional details

Funding

European Union’s Horizon 2020 PANCAIM 101016851
European Union

Dates

Available
2024-01-02