Prostate MRI versus PSA screening for prostate cancer detection (the MVP Study): a randomised clinical trial

Autor: Urban Emmenegger, Chirag Patel, Christopher Wallis, Amanda Hird, Christopher Sherman, Robert Nam, Laurent Milot, Patrick Macinnis, Mala Singh, Masoom A Haider

Publikováno v: BMJ Open, Vol 12, Iss 11 (2022)

Objectives Our objective was to compare prostate cancer detection rates between patients undergoing serum prostate-specific antigen (PSA) vs magnetic resonance imaging (MRI) for prostate cancer screening.Design Phase III open-label randomised control

Externí odkaz: https://doaj.org/article/5283621cc78949c2bf6cbba4b5272998

CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging

Autor: Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

Publikováno v: BMC Medical Imaging, Vol 20, Iss 1, Pp 1-8 (2020)

Abstract Background Cox proportional hazard model (CPH) is commonly used in clinical research for survival analysis. In quantitative medical imaging (radiomics) studies, CPH plays an important role in feature reduction and modeling. However, the unde

Externí odkaz: https://doaj.org/article/c11687d84fb545fca6f3284087c4925a

Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma

Autor: Farzad Khalvati, Yucheng Zhang, Sameer Baig, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)

Abstract In this work, we assess the reproducibility and prognostic value of CT-derived radiomic features for resectable pancreatic ductal adenocarcinoma (PDAC). Two radiologists contoured tumour regions on pre-operative CT of two cohorts from two in

Externí odkaz: https://doaj.org/article/03bd79d212814901adf8f2deb76f18c1

Best Current Practice and Research Priorities in Active Surveillance for Prostate Cancer-A Report of a Movember International Consensus Meeting

Autor: Caroline M. Moore, Lauren E. King, John Withington, Mahul B. Amin, Mark Andrews, Erik Briers, Ronald C. Chen, Francis I. Chinegwundoh, Matthew R. Cooperberg, Jane Crowe, Antonio Finelli, Margaret I. Fitch, Mark Frydenberg, Francesco Giganti, Masoom A. Haider, John Freeman, Joseph Gallo, Stephen Gibbs, Anthony Henry, Nicholas James, Netty Kinsella, Thomas B.L. Lam, Mark Lichty, Stacy Loeb, Brandon A. Mahal, Ken Mastris, Anita V. Mitra, Samuel W.D. Merriel, Theodorus van der Kwast, Mieke Van Hemelrijck, Nynikka R. Palmer, Catherine C. Paterson, Monique J. Roobol, Phillip Segal, James A. Schraidt, Camille E. Short, M. Minhaj Siddiqui, Clare M.C. Tempany, Arnaud Villers, Howard Wolinsky, Steven MacLennan

Publikováno v: Moore, C M, King, L, Withington, J, Amin, M, Andrews, M, Briers, E, Chen, R, Chinegwundoh, F, Matthew, C, Crowe, J, Finelli, A, Fitch, M, Frydenberg, M, Giganti, F, Haider, M, Freeman, J, Gallo, J, Gibbs, S, Henry, A, James, N, Kinsella, N, Lam, T, Lichty, M, Loeb, S, Mahal, B, Mastris, K, Mitra, A, Merriel, S, van der Kwast, T, van Hemelrijck, M, Palmer, N, Paterson, C, Roobol, M, Segal, P, Schraidt, J, Short, C, Siddiqu, M M, Tempany, C, Villiers, A, Wolinsky, H & MacLennan, S 2023, ' Best Current Practice and Research Priorities in Active Surveillance for Prostate Cancer—A Report of a Movember International Consensus Meeting ', European Urology Oncology . https://doi.org/10.1016/j.euo.2023.01.003
European urology oncology, 6(2), 160-182. Elsevier

BACKGROUND: Active surveillance (AS) is recommended for low-risk and some intermediate-risk prostate cancer. Uptake and practice of AS vary significantly across different settings, as does the experience of surveillance-from which tests are offered,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6973ff56fbc22ce04dd894528db4af7
https://pure.eur.nl/en/publications/409382cf-97bc-4635-a6f7-61db60dde2ed

Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma

Autor: Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

Publikováno v: Frontiers in Artificial Intelligence, Vol 3 (2020)

Background: Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive cancers with an extremely poor prognosis. Radiomics has shown prognostic ability in multiple types of cancer including PDAC. However, the prognostic value of traditiona

Externí odkaz: https://doaj.org/article/516f6b5d9a574f9998a87c77545a913e