David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

Multi‐Site Concordance of Diffusion‐Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness


Journal article


S. McGarry, M. Brehler, J. Bukowy, A. Lowman, S. Bobholz, S. Duenweg, A. Banerjee, S.L. Hurrell, D. Malyarenko, T. Chenevert, Yue Cao, Yuan Li, D. You, A. Fedorov, L. Bell, C. Quarles, M. Prah, K. Schmainda, B. Taouli, E. LoCastro, Y. Mazaheri, A. Shukla-Dave, T. Yankeelov, D. Hormuth, A. Madhuranthakam, K. Hulsey, Kurt Li, Wei Huang, Wei Huang, M. Muzi, M. Jacobs, M. Solaiyappan, S. Hectors, T. Antic, G. Paner, Watchareepohn Palangmonthip, K. Jacobsohn, M. Hohenwalter, Petar Duvnjak, Michael Griffin, W. See, M. Nevalainen, K. Iczkowski, P. LaViolette
Journal of magnetic resonance imaging : JMRI, 2021

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
McGarry, S., Brehler, M., Bukowy, J., Lowman, A., Bobholz, S., Duenweg, S., … LaViolette, P. (2021). Multi‐Site Concordance of Diffusion‐Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness. Journal of Magnetic Resonance Imaging : JMRI.


Chicago/Turabian   Click to copy
McGarry, S., M. Brehler, J. Bukowy, A. Lowman, S. Bobholz, S. Duenweg, A. Banerjee, et al. “Multi‐Site Concordance of Diffusion‐Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness.” Journal of magnetic resonance imaging : JMRI (2021).


MLA   Click to copy
McGarry, S., et al. “Multi‐Site Concordance of Diffusion‐Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness.” Journal of Magnetic Resonance Imaging : JMRI, 2021.


BibTeX   Click to copy

@article{s2021a,
  title = {Multi‐Site Concordance of Diffusion‐Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness},
  year = {2021},
  journal = {Journal of magnetic resonance imaging : JMRI},
  author = {McGarry, S. and Brehler, M. and Bukowy, J. and Lowman, A. and Bobholz, S. and Duenweg, S. and Banerjee, A. and Hurrell, S.L. and Malyarenko, D. and Chenevert, T. and Cao, Yue and Li, Yuan and You, D. and Fedorov, A. and Bell, L. and Quarles, C. and Prah, M. and Schmainda, K. and Taouli, B. and LoCastro, E. and Mazaheri, Y. and Shukla-Dave, A. and Yankeelov, T. and Hormuth, D. and Madhuranthakam, A. and Hulsey, K. and Li, Kurt and Huang, Wei and Huang, Wei and Muzi, M. and Jacobs, M. and Solaiyappan, M. and Hectors, S. and Antic, T. and Paner, G. and Palangmonthip, Watchareepohn and Jacobsohn, K. and Hohenwalter, M. and Duvnjak, Petar and Griffin, Michael and See, W. and Nevalainen, M. and Iczkowski, K. and LaViolette, P.}
}

Abstract

Diffusion‐weighted imaging (DWI) is commonly used to detect prostate cancer, and a major clinical challenge is differentiating aggressive from indolent disease.


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