An Online Repository for Pre-Clinical Imaging Protocols (PIPs)
Seth T. Gammon,
Allison S. Cohen,
Adrienne L. Lehnert,
Daniel C. Sullivan,
Dariya Malyarenko,
Henry Charles Manning,
David A. Hormuth,
Heike E. Daldrup-Link,
Hongyu An,
James D. Quirk,
Kooresh Shoghi,
Mark David Pagel,
Paul E. Kinahan,
Robert S. Miyaoka,
A. McGarry Houghton,
Michael T. Lewis,
Peder Larson,
Renuka Sriram,
Stephanie J. Blocker,
Stephen Pickup,
Alexandra Badea,
Cristian T. Badea,
Thomas E. Yankeelov,
Thomas L. Chenevert
Affiliations
Seth T. Gammon
Department of Cancer Systems Imaging, University of MD Anderson Cancer Center, 1881 E. Road, Houston, TX 77030, USA
Allison S. Cohen
Department of Cancer Systems Imaging, University of MD Anderson Cancer Center, 1881 E. Road, Houston, TX 77030, USA
Adrienne L. Lehnert
Department of Radiology, University of Washington, Seattle, WA 98105, USA
Daniel C. Sullivan
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
Dariya Malyarenko
Department of Radiology, University of Michigan, Ann Arbor, MI 48108, USA
Henry Charles Manning
Department of Cancer Systems Imaging, University of MD Anderson Cancer Center, 1881 E. Road, Houston, TX 77030, USA
David A. Hormuth
Oden Institute for Computational Engineering and Sciences, and Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
Heike E. Daldrup-Link
Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA 94305, USA
Hongyu An
Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
James D. Quirk
Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
Kooresh Shoghi
Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
Mark David Pagel
Department of Cancer Systems Imaging, University of MD Anderson Cancer Center, 1881 E. Road, Houston, TX 77030, USA
Paul E. Kinahan
Department of Radiology, University of Washington, Seattle, WA 98105, USA
Robert S. Miyaoka
Department of Radiology, University of Washington, Seattle, WA 98105, USA
A. McGarry Houghton
Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
Michael T. Lewis
Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer Center, Houston, TX 77030, USA
Peder Larson
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
Renuka Sriram
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
Stephanie J. Blocker
Center for In Vivo Microscopy, Department of Radiology, Duke University School of Medicine, Durham, NC 27710, USA
Stephen Pickup
Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
Alexandra Badea
Department of Radiology, Duke University, Durham, NC 27708, USA
Cristian T. Badea
Department of Radiology, Duke University, Durham, NC 27708, USA
Thomas E. Yankeelov
Department of Biomedical Engineering, Diagnostic Medicine, and Oncology, Oden Institute for Computational Engineering and Sciences, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA
Thomas L. Chenevert
Department of Radiology, University of Michigan, Ann Arbor, MI 48108, USA
Providing method descriptions that are more detailed than currently available in typical peer reviewed journals has been identified as an actionable area for improvement. In the biochemical and cell biology space, this need has been met through the creation of new journals focused on detailed protocols and materials sourcing. However, this format is not well suited for capturing instrument validation, detailed imaging protocols, and extensive statistical analysis. Furthermore, the need for additional information must be counterbalanced by the additional time burden placed upon researchers who may be already overtasked. To address these competing issues, this white paper describes protocol templates for positron emission tomography (PET), X-ray computed tomography (CT), and magnetic resonance imaging (MRI) that can be leveraged by the broad community of quantitative imaging experts to write and self-publish protocols in protocols.io. Similar to the Structured Transparent Accessible Reproducible (STAR) or Journal of Visualized Experiments (JoVE) articles, authors are encouraged to publish peer reviewed papers and then to submit more detailed experimental protocols using this template to the online resource. Such protocols should be easy to use, readily accessible, readily searchable, considered open access, enable community feedback, editable, and citable by the author.
