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Mark Emberton

Showing results (331-340 of 474) with videos related to

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BJU International|October 11, 2019
Genetic correlates of prostate cancer visibility (and invisibility) on multiparametric magnetic resonance imaging: it's time to take stockJoseph M Norris, Benjamin S Simpson, Marina A Parry, et al.
BMJ Open|January 30, 2020
Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysisJoseph M Norris, Benjamin S Simpson, Marina A Parry, et al.
Advanced Healthcare Materials|April 5, 2019
Thermoresponsive Stiffness Softening of Hierarchically Porous Nanohybrid Membranes Promotes Niches for Mesenchymal Stem Cell DifferentiationLinxiao Wu, Adrián Magaz, Arnold Darbyshire, et al.
Plos One|February 3, 2022
A protocol for the VISION study: An indiVidual patient data meta-analysis of randomised trials comparing MRI-targeted biopsy to standard transrectal ultraSound guided bIopsy in the detection of prOstate cancerVeeru Kasivisvanathan, Vinson Wai-Shun Chan, Keiran D Clement, et al.
BJU International|March 8, 2012
A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)-biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomyYipeng Hu, Hashim U Ahmed, Tim Carter, et al.
Plos One|October 17, 2024
The RECONCILE study protocol: Exploiting image-based risk stratification in early prostate cancer to discriminate progressors from non-progressors (RECONCILE)Teresa Marsden, Gerhardt Attard, Shonit Punwani, et al.
BJU International|November 19, 2011
Detection, localisation and characterisation of prostate cancer by prostate HistoScanning(™)Lucy A M Simmons, Philippe Autier, Frantiŝek Zát'ura, et al.
BJUI Compass|July 18, 2024
Imaging modalities for characterising T1 renal tumours: A systematic review and meta-analysis of diagnostic accuracyHannah Warren, Jack B Fanshawe, Valerie Mok, et al.
Urologic Oncology|May 29, 2021
Can quantitative analysis of multi-parametric MRI independently predict failure of focal salvage HIFU therapy in men with radio-recurrent prostate cancer?Arnas Rakauskas, Taimur T Shah, Max Peters, et al.
European Radiology|February 15, 2015
Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRINikolaos Dikaios, Jokha Alkalbani, Mohamed Abd-Alazeez, et al.
Pageof 48

Showing results (331-340 of 474) with videos related to

Sort By:
Pageof 48
BJU International|October 11, 2019
Genetic correlates of prostate cancer visibility (and invisibility) on multiparametric magnetic resonance imaging: it's time to take stockJoseph M Norris, Benjamin S Simpson, Marina A Parry, et al.
BMJ Open|January 30, 2020
Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysisJoseph M Norris, Benjamin S Simpson, Marina A Parry, et al.
Advanced Healthcare Materials|April 5, 2019
Thermoresponsive Stiffness Softening of Hierarchically Porous Nanohybrid Membranes Promotes Niches for Mesenchymal Stem Cell DifferentiationLinxiao Wu, Adrián Magaz, Arnold Darbyshire, et al.
Plos One|February 3, 2022
A protocol for the VISION study: An indiVidual patient data meta-analysis of randomised trials comparing MRI-targeted biopsy to standard transrectal ultraSound guided bIopsy in the detection of prOstate cancerVeeru Kasivisvanathan, Vinson Wai-Shun Chan, Keiran D Clement, et al.
BJU International|March 8, 2012
A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)-biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomyYipeng Hu, Hashim U Ahmed, Tim Carter, et al.
Plos One|October 17, 2024
The RECONCILE study protocol: Exploiting image-based risk stratification in early prostate cancer to discriminate progressors from non-progressors (RECONCILE)Teresa Marsden, Gerhardt Attard, Shonit Punwani, et al.
BJU International|November 19, 2011
Detection, localisation and characterisation of prostate cancer by prostate HistoScanning(™)Lucy A M Simmons, Philippe Autier, Frantiŝek Zát'ura, et al.
BJUI Compass|July 18, 2024
Imaging modalities for characterising T1 renal tumours: A systematic review and meta-analysis of diagnostic accuracyHannah Warren, Jack B Fanshawe, Valerie Mok, et al.
Urologic Oncology|May 29, 2021
Can quantitative analysis of multi-parametric MRI independently predict failure of focal salvage HIFU therapy in men with radio-recurrent prostate cancer?Arnas Rakauskas, Taimur T Shah, Max Peters, et al.
European Radiology|February 15, 2015
Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRINikolaos Dikaios, Jokha Alkalbani, Mohamed Abd-Alazeez, et al.
Pageof 48