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Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer

CITE Title : Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer Personal Author(s) : McGarry, Sean D.;Hurrell, Sarah L.;Iczkowski, Kenneth A.;Hall, William;Kaczmarowski, Amy L.;Banerjee, Anjishnu;Keuter, Tucker;Jacobsohn, Kenneth;Bukowy, John D.;Nevalainen, Marja T.;Hohenwalter, Mark D.;See, William A.;LaViolette, Peter S.; Published Date : 8 01 2018 Source : Int J Radiat Oncol Biol Phys. 101(5):1179-1187 URL : https://stacks.cdc.gov/view/cdc/119161 McGarry, Sean D. et al. (2018). Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer. 101(5). McGarry, Sean D. et al. "Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer" 101, no. 5 (2018) McGarry, Sean D. et al. "Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer" vol. 101, no. 5, 2018 Export RIS Citation Information.

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McGarry, Sean D. ;

Hurrell, Sarah L.

8 01 2018 | Int J Radiat Oncol Biol Phys. 101(5):1179-1187

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Purpose:This study aims to combine multiparametric magnetic resonance imaging (MRI) and digitized pathology with machine learning to generate predicti...
Multi-site concordance of diffusion weighted imaging quantification for assessing prostate cancer aggressiveness

CITE Title : Multi-site concordance of diffusion weighted imaging quantification for assessing prostate cancer aggressiveness Personal Author(s) : McGarry, Sean D.;Brehler, Michael;Bukowy, John D.;Lowman, Allison K;Bobholz, Samuel;Duenweg, Savannah;Banerjee, Anjishnu;Hurrell, Sarah L.;Malyarenko, Dariya;Chenevert, Thomas L.;Cao, Yue;Li, Yuan;You, Daekeun;Fedorov, Andrey;Bell, Laura C.;Quarles, C. Chad;Prah, Melissa A.;Schmainda, Kathleen M.;Taouli, Bachir;LoCastro, Eve;Mazaheri, Yousef;Shukla-Dave, Amita;Yankeelov, Thomas E.;Hormuth, David A.;Madhuranthakam, Ananth J;Hulsey, Keith;Li, Kurt;Huang, Wei;Huang, Wei;Muzi, Mark;Jacobs, Michael A.;Solaiyappan, Meiyappan;Hectors, Stefanie;Antic, Tatjana;Paner, Gladell;Palangmonthip, Watchareepohn;Jacobsohn, Kenneth;Hohenwalter, Mark;Duvnjak, Petar;Griffin, Michael;See, William;Nevalainen, Marja;Iczkowski, Kenneth A.;LaViolette, Peter S.; Published Date : 6 2022;6-2022; Source : J Magn Reson Imaging. 55(6):1745-1758 URL : https://stacks.cdc.gov/view/cdc/119180 McGarry, Sean D. et al. (2022). Multi-site concordance of diffusion weighted imaging quantification for assessing prostate cancer aggressiveness. 55(6). McGarry, Sean D. et al. "Multi-site concordance of diffusion weighted imaging quantification for assessing prostate cancer aggressiveness" 55, no. 6 (2022) McGarry, Sean D. et al. "Multi-site concordance of diffusion weighted imaging quantification for assessing prostate cancer aggressiveness" vol. 55, no. 6, 2022 Export RIS Citation Information.

:

McGarry, Sean D. ;

Brehler, Michael

6 2022 | J Magn Reson Imaging. 55(6):1745-1758

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Background:Diffusion weighted imaging (DWI) is commonly used to detect prostate cancer, and a major clinical challenge is differentiating aggressive f...