TY - JOUR
T1 - An Online Repository for Pre-Clinical Imaging Protocols (PIPs)
AU - Gammon, Seth T.
AU - Cohen, Allison S.
AU - Lehnert, Adrienne L.
AU - Sullivan, Daniel C.
AU - Malyarenko, Dariya
AU - Manning, Henry Charles
AU - Hormuth, David A.
AU - Daldrup-Link, Heike E.
AU - An, Hongyu
AU - Quirk, James D.
AU - Shoghi, Kooresh
AU - Pagel, Mark David
AU - Kinahan, Paul E.
AU - Miyaoka, Robert S.
AU - Houghton, A. Mc Garry
AU - Lewis, Michael T.
AU - Larson, Peder
AU - Sriram, Renuka
AU - Blocker, Stephanie J.
AU - Pickup, Stephen
AU - Badea, Alexandra
AU - Badea, Cristian T.
AU - Yankeelov, Thomas E.
AU - Chenevert, Thomas L.
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
KW - consortia
KW - quantitative imaging
KW - reproducibility
KW - templates
UR - http://www.scopus.com/inward/record.url?scp=85153954741&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85153954741&partnerID=8YFLogxK
U2 - 10.3390/tomography9020060
DO - 10.3390/tomography9020060
M3 - Article
C2 - 37104131
AN - SCOPUS:85153954741
SN - 2379-1381
VL - 9
SP - 750
EP - 758
JO - Tomography
JF - Tomography
IS - 2
ER -