An Assessment of Imaging Informatics for Precision Medicine in Cancer

C. Chennubhotla, L. P. Clarke, A. Fedorov, David Foran, G. Harris, E. Helton, R. Nordstrom, F. Prior, D. Rubin, J. H. Saltz, E. Shalley, A. Sharma

Research output: Contribution to journalReview article

4 Citations (Scopus)

Abstract

Objectives: Precision medicine requires the measurement, quantification, and cataloging of medical characteristics to identify the most effective medical intervention. However, the amount of available data exceeds our current capacity to extract meaningful information. We examine the informatics needs to achieve precision medicine from the perspective of quantitative imaging and oncology. Methods: The National Cancer Institute (NCI) organized several workshops on the topic of medical imaging and precision medicine. The observations and recommendations are summarized herein. Results: Recommendations include: use of standards in data collection and clinical correlates to promote interoperability; data sharing and validation of imaging tools; clinician's feedback in all phases of research and development; use of open-source architecture to encourage reproducibility and reusability; use of challenges which simulate real-world situations to incentivize innovation; partnership with industry to facilitate commercialization; and education in academic communities regarding the challenges involved with translation of technology from the research domain to clinical utility and the benefits of doing so. Conclusions: This article provides a survey of the role and priorities for imaging informatics to help advance quantitative imaging in the era of precision medicine. While these recommendations were drawn from oncology, they are relevant and applicable to other clinical domains where imaging aids precision medicine.

Original languageEnglish (US)
Pages (from-to)110-119
Number of pages10
JournalYearbook of medical informatics
Volume26
Issue number1
DOIs
StatePublished - Aug 1 2017

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Precision Medicine
Informatics
Neoplasms
Cataloging
Education
National Cancer Institute (U.S.)
Information Dissemination
Diagnostic Imaging
Research
Industry
Technology

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

Chennubhotla, C., Clarke, L. P., Fedorov, A., Foran, D., Harris, G., Helton, E., ... Sharma, A. (2017). An Assessment of Imaging Informatics for Precision Medicine in Cancer. Yearbook of medical informatics, 26(1), 110-119. https://doi.org/10.15265/IY-2017-041
Chennubhotla, C. ; Clarke, L. P. ; Fedorov, A. ; Foran, David ; Harris, G. ; Helton, E. ; Nordstrom, R. ; Prior, F. ; Rubin, D. ; Saltz, J. H. ; Shalley, E. ; Sharma, A. / An Assessment of Imaging Informatics for Precision Medicine in Cancer. In: Yearbook of medical informatics. 2017 ; Vol. 26, No. 1. pp. 110-119.
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Chennubhotla, C, Clarke, LP, Fedorov, A, Foran, D, Harris, G, Helton, E, Nordstrom, R, Prior, F, Rubin, D, Saltz, JH, Shalley, E & Sharma, A 2017, 'An Assessment of Imaging Informatics for Precision Medicine in Cancer', Yearbook of medical informatics, vol. 26, no. 1, pp. 110-119. https://doi.org/10.15265/IY-2017-041

An Assessment of Imaging Informatics for Precision Medicine in Cancer. / Chennubhotla, C.; Clarke, L. P.; Fedorov, A.; Foran, David; Harris, G.; Helton, E.; Nordstrom, R.; Prior, F.; Rubin, D.; Saltz, J. H.; Shalley, E.; Sharma, A.

In: Yearbook of medical informatics, Vol. 26, No. 1, 01.08.2017, p. 110-119.

Research output: Contribution to journalReview article

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AU - Clarke, L. P.

AU - Fedorov, A.

AU - Foran, David

AU - Harris, G.

AU - Helton, E.

AU - Nordstrom, R.

AU - Prior, F.

AU - Rubin, D.

AU - Saltz, J. H.

AU - Shalley, E.

AU - Sharma, A.

PY - 2017/8/1

Y1 - 2017/8/1

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