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NCI Imaging Data Commons.
Cancer Res. 2021 08 15; 81(16):4188-4193.CR

Abstract

The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access and explore the value of deidentified imaging data and to support integrated analyses with nonimaging data. We achieve this goal by colocating versatile imaging collections with cloud-based computing resources and data exploration, visualization, and analysis tools. The IDC pilot was released in October 2020 and is being continuously populated with radiology and histopathology collections. IDC provides access to curated imaging collections, accompanied by documentation, a user forum, and a growing number of analysis use cases that aim to demonstrate the value of a data commons framework applied to cancer imaging research. SIGNIFICANCE: This study introduces NCI Imaging Data Commons, a new repository of the NCI Cancer Research Data Commons, which will support cancer imaging research on the cloud.

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Authors+Show Affiliations

Fedorov A
Brigham and Women's Hospital, Department of Radiology, Harvard Medical School, Boston, Massachusetts. fedorov@bwh.harvard.edu.
Longabaugh WJR
Institute for Systems Biology, Seattle, Washington.
Pot D
General Dynamics, Bethesda, Maryland.
Clunie DA
PixelMed Publishing LLC, Bangor, Pennsylvania.
Pieper S
Isomics Inc, Cambridge, Massachusetts.
Aerts HJWL
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, Massachusetts. Departments of Radiation Oncology & Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts. Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, Maastricht, the Netherlands.
Homeyer A
Fraunhofer MEVIS, Bremen, Germany.
Lewis R
Radical Imaging, Boston, Massachusetts.
Akbarzadeh A
Brigham and Women's Hospital, Department of Radiology, Harvard Medical School, Boston, Massachusetts.
Bontempi D
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, Massachusetts.
Clifford W
Institute for Systems Biology, Seattle, Washington.
Herrmann MD
Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, Massachusetts.
Höfener H
Fraunhofer MEVIS, Bremen, Germany.
Octaviano I
Radical Imaging, Boston, Massachusetts.
Osborne C
General Dynamics, Bethesda, Maryland.
Paquette S
Institute for Systems Biology, Seattle, Washington.
Petts J
Ovela Solutions LTD, London, United Kingdom.
Punzo D
Radical Imaging, Boston, Massachusetts.
Reyes M
General Dynamics, Bethesda, Maryland.
Schacherer DP
Fraunhofer MEVIS, Bremen, Germany.
Tian M
Institute for Systems Biology, Seattle, Washington.
White G
Institute for Systems Biology, Seattle, Washington.
Ziegler E
Radical Imaging, Boston, Massachusetts.
Shmulevich I
Institute for Systems Biology, Seattle, Washington.
Pihl T
Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Wagner U
Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Farahani K
National Cancer Institute, Bethesda, Maryland.
Kikinis R
Brigham and Women's Hospital, Department of Radiology, Harvard Medical School, Boston, Massachusetts.

MeSH

Biomedical ResearchCloud ComputingComputational BiologyComputer GraphicsComputer SecurityData Interpretation, StatisticalDatabases, FactualDiagnostic ImagingHumansImage Processing, Computer-AssistedNational Cancer Institute (U.S.)NeoplasmsPilot ProjectsProgramming LanguagesRadiologyReproducibility of ResultsSoftwareUnited StatesUser-Computer Interface

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

34185678

Citation

Fedorov, Andrey, et al. "NCI Imaging Data Commons." Cancer Research, vol. 81, no. 16, 2021, pp. 4188-4193.
Fedorov A, Longabaugh WJR, Pot D, et al. NCI Imaging Data Commons. Cancer Res. 2021;81(16):4188-4193.
Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S., Aerts, H. J. W. L., Homeyer, A., Lewis, R., Akbarzadeh, A., Bontempi, D., Clifford, W., Herrmann, M. D., Höfener, H., Octaviano, I., Osborne, C., Paquette, S., Petts, J., Punzo, D., Reyes, M., ... Kikinis, R. (2021). NCI Imaging Data Commons. Cancer Research, 81(16), 4188-4193. https://doi.org/10.1158/0008-5472.CAN-21-0950
Fedorov A, et al. NCI Imaging Data Commons. Cancer Res. 2021 08 15;81(16):4188-4193. PubMed PMID: 34185678.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - NCI Imaging Data Commons. AU - Fedorov,Andrey, AU - Longabaugh,William J R, AU - Pot,David, AU - Clunie,David A, AU - Pieper,Steve, AU - Aerts,Hugo J W L, AU - Homeyer,André, AU - Lewis,Rob, AU - Akbarzadeh,Afshin, AU - Bontempi,Dennis, AU - Clifford,William, AU - Herrmann,Markus D, AU - Höfener,Henning, AU - Octaviano,Igor, AU - Osborne,Chad, AU - Paquette,Suzanne, AU - Petts,James, AU - Punzo,Davide, AU - Reyes,Madelyn, AU - Schacherer,Daniela P, AU - Tian,Mi, AU - White,George, AU - Ziegler,Erik, AU - Shmulevich,Ilya, AU - Pihl,Todd, AU - Wagner,Ulrike, AU - Farahani,Keyvan, AU - Kikinis,Ron, Y1 - 2021/06/15/ PY - 2021/03/31/received PY - 2021/05/25/revised PY - 2021/06/14/accepted PY - 2021/6/30/pubmed PY - 2022/1/8/medline PY - 2021/6/29/entrez SP - 4188 EP - 4193 JF - Cancer research JO - Cancer Res VL - 81 IS - 16 N2 - The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access and explore the value of deidentified imaging data and to support integrated analyses with nonimaging data. We achieve this goal by colocating versatile imaging collections with cloud-based computing resources and data exploration, visualization, and analysis tools. The IDC pilot was released in October 2020 and is being continuously populated with radiology and histopathology collections. IDC provides access to curated imaging collections, accompanied by documentation, a user forum, and a growing number of analysis use cases that aim to demonstrate the value of a data commons framework applied to cancer imaging research. SIGNIFICANCE: This study introduces NCI Imaging Data Commons, a new repository of the NCI Cancer Research Data Commons, which will support cancer imaging research on the cloud. SN - 1538-7445 UR - https://www.unboundmedicine.com/medline/citation/34185678/NCI_Imaging_Data_Commons_ DB - PRIME DP - Unbound Medicine ER -