Agent orange exposure and prostate cancer risk in the million veteran program

Autor: Meghana S. Pagadala, Asona J. Lui, Allison Y. Zhong, Julie A. Lynch, Roshan Karunamuni, Kyung Min Lee, Anna Plym, Brent S. Rose, Hannah K. Carter, Adam S. Kibel, Scott L. DuVall, J. Michael Gaziano, Matthew S. Panizzon, Richard L. Hauger, Tyler M. Seibert

Publikováno v: Acta Oncologica, Vol 63, Iss 1 (2024)

Background: The US government considers veterans to have been exposed to Agent Orange if they served in Vietnam while the carcinogen was in use, and these veterans are often deemed at high risk of prostate cancer (PCa). Here, we assess whether presum

Externí odkaz: https://doaj.org/article/4271ec4c5c6742b9ac52d13f2ba0e5ce

Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approach

Autor: Aaron B. Simon, Brian Hurt, Roshan Karunamuni, Gwe-Ya Kim, Vitali Moiseenko, Scott Olson, Nikdokht Farid, Albert Hsiao, Jona A. Hattangadi-Gluth

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)

Abstract Stereotactic radiosurgery planning for cerebral arteriovenous malformations (AVM) is complicated by the variability in appearance of an AVM nidus across different imaging modalities. We developed a deep learning approach to automatically seg

Externí odkaz: https://doaj.org/article/7de73ec3df7d427fa98baab13d0e9dfb

Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

Autor: Minh-Phuong Huynh-Le, Chun Chieh Fan, Roshan Karunamuni, Wesley K. Thompson, Maria Elena Martinez, Rosalind A. Eeles, Zsofia Kote-Jarai, Kenneth Muir, Johanna Schleutker, Nora Pashayan, Jyotsna Batra, Henrik Grönberg, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Richard M. Martin, Sune F. Nielsen, Børge G. Nordestgaard, Fredrik Wiklund, Catherine M. Tangen, Graham G. Giles, Alicja Wolk, Demetrius Albanes, Ruth C. Travis, William J. Blot, Wei Zheng, Maureen Sanderson, Janet L. Stanford, Lorelei A. Mucci, Catharine M. L. West, Adam S. Kibel, Olivier Cussenot, Sonja I. Berndt, Stella Koutros, Karina Dalsgaard Sørensen, Cezary Cybulski, Eli Marie Grindedal, Florence Menegaux, Kay-Tee Khaw, Jong Y. Park, Sue A. Ingles, Christiane Maier, Robert J. Hamilton, Stephen N. Thibodeau, Barry S. Rosenstein, Yong-Jie Lu, Stephen Watya, Ana Vega, Manolis Kogevinas, Kathryn L. Penney, Chad Huff, Manuel R. Teixeira, Luc Multigner, Robin J. Leach, Lisa Cannon-Albright, Hermann Brenner, Esther M. John, Radka Kaneva, Christopher J. Logothetis, Susan L. Neuhausen, Kim De Ruyck, Hardev Pandha, Azad Razack, Lisa F. Newcomb, Jay H. Fowke, Marija Gamulin, Nawaid Usmani, Frank Claessens, Manuela Gago-Dominguez, Paul A. Townsend, William S. Bush, Monique J. Roobol, Marie-Élise Parent, Jennifer J. Hu, Ian G. Mills, Ole A. Andreassen, Anders M. Dale, Tyler M. Seibert, UKGPCS collaborators, APCB (Australian Prostate Cancer BioResource), NC-LA PCaP Investigators, The IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, The Profile Study Steering Committee, The PRACTICAL Consortium

Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)

A polygenic hazard score (PHS1) improves prostate cancer screening accuracy in European patients. Here, the authors test the performance of a version compatible with OncoArray genotypes (PHS2) in a multi-ethnic dataset and find that it risk-stratifie

Externí odkaz: https://doaj.org/article/2acc58dd13bb4c07abb40966fce96b6f

Automated Patient-level Prostate Cancer Detection with Quantitative Diffusion Magnetic Resonance Imaging

Autor: Allison Y, Zhong, Leonardino A, Digma, Troy, Hussain, Christine H, Feng, Christopher C, Conlin, Karen, Tye, Asona J, Lui, Maren M S, Andreassen, Ana E, Rodríguez-Soto, Roshan, Karunamuni, Joshua, Kuperman, Christopher J, Kane, Rebecca, Rakow-Penner, Michael E, Hahn, Anders M, Dale, Tyler M, Seibert

Publikováno v: European Urology Open Science. 47:20-28

BackgroundMultiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system and quantitative apparent diffusion coef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7878f3a681ea5657843945cce72b9295
https://doi.org/10.1016/j.euros.2022.11.009

Analyses of regional radiosensitivity of white matter structures along tract axes using novel white matter segmentation and diffusion imaging biomarkers

Autor: Jordan Houri, Roshan Karunamuni, Michael Connor, Niclas Pettersson, Carrie McDonald, Nikdokht Farid, Nathan White, Anders Dale, Jona A. Hattangadi-Gluth, Vitali Moiseenko

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 6, Iss , Pp 39-46 (2018)

Background and purpose: Brain radiotherapy (RT) can cause white matter damage and downstream neurocognitive decline. We developed a computational neuroimaging tool to regionally partition individual white matter tracts, then analyze regional changes

Externí odkaz: https://doaj.org/article/1af03f75a53943e4abb971ef43c7c19e