An Online Repository for Pre-Clinical Imaging Protocols (PIPs)

Author:

Gammon Seth T.1ORCID,Cohen Allison S.1,Lehnert Adrienne L.2ORCID,Sullivan Daniel C.3,Malyarenko Dariya4ORCID,Manning Henry Charles1,Hormuth David A.5ORCID,Daldrup-Link Heike E.6,An Hongyu7,Quirk James D.7,Shoghi Kooresh7,Pagel Mark David1ORCID,Kinahan Paul E.2,Miyaoka Robert S.2,Houghton A. McGarry8,Lewis Michael T.9ORCID,Larson Peder3ORCID,Sriram Renuka3ORCID,Blocker Stephanie J.10ORCID,Pickup Stephen11,Badea Alexandra12ORCID,Badea Cristian T.12,Yankeelov Thomas E.1314ORCID,Chenevert Thomas L.4

Affiliation:

1. Department of Cancer Systems Imaging, University of MD Anderson Cancer Center, 1881 E. Road, Houston, TX 77030, USA

2. Department of Radiology, University of Washington, Seattle, WA 98105, USA

3. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA

4. Department of Radiology, University of Michigan, Ann Arbor, MI 48108, USA

5. Oden Institute for Computational Engineering and Sciences, and Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA

6. Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA 94305, USA

7. Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA

8. Fred Hutchinson Cancer Center, Seattle, WA 98109, USA

9. Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer Center, Houston, TX 77030, USA

10. Center for In Vivo Microscopy, Department of Radiology, Duke University School of Medicine, Durham, NC 27710, USA

11. Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA

12. Department of Radiology, Duke University, Durham, NC 27708, USA

13. 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

14. Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX 77030, USA

Abstract

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.

Funder

Thomas Chenevert

Manning/MD Anderson

Washington University Co-Clinical Imaging Research Resource

University of Washington/Fred Hutchinson Co-Clinical Imaging Research Program

C. Badea

(BCM/Stanford/UTA)

Cancer Prevention and Research Institute of Texas

Daldrup-Link work

UCSF

Duke University

Penn Pancreatic Cancer Imaging Resource

Publisher

MDPI AG

Subject

Radiology, Nuclear Medicine and imaging

Reference13 articles.

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4. Canada, C. (2022). Lunit AI Solution for Radiology Receives Health Canada Nod for Commercial Use, MIT Press.

5. Pre-trial quality assurance of diffusion-weighted MRI for radiomic analysis and the role of harmonisation;Paquier;Phys. Med.,2022

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