Results 61 to 70 of about 9,019 (165)

Table1_bpMRI and mpMRI for detecting prostate cancer: A retrospective cohort study.doc

, 2023
BackgroundWe aimed to compare the detection rates of prostate cancer (PCa) and clinically significant prostate cancer(csPCa) by biparametric (bp-) and multiparameter magnetic resonance imaging (mpMRI).Materials and MethodsA total of 699 patients who ...
Dongliang Cao (512650), Cheng Shen (838231), Xinfeng Chen (3812485), Xiaodong Pan (396765), Wei Xu (28953), Bing Zheng (1426309), Yongsheng Pan (754223), Jie Jiang (187037), Chen Ji (265924)   +8 more
core   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

The PART randomised trial protocol: Partial Ablation versus Radical Treatment for prostate cancer

BJU International, EarlyView.
Objectives Primary objective: to determine whether prostate gland partial ablation (PA) has non‐inferior oncological treatment success vs radical treatment (RT) of localised intermediate‐risk prostate cancer (irPCa). Secondary objectives: to compare (i) participant‐reported urinary and sexual dysfunction side effects, (ii) short/medium term serious ...
Richard J. Bryant, Tom Leslie, Marc Laniado, Abhishek Sharma, Alistair Grey, John Withington, Christopher Blick, Edward Streeter, Sanjeev Kotwal, Oliver Hulson, William Cross, Daniel W. Good, Altan Omer, Taimur T. Shah, Nishant Bedi, Luke Stroman, Caroline Moore, Prasanna Sooriakumaran, Hashim U. Ahmed, Simon F. Brewster, Vicki S. Barber, Aimi Hewitt, Clare Calvert, Jessica Scaife, Derek Shepherd, Filipa Landeiro, Jane Wolstenholme, Philip Camilleri, Clare Verrill, Shelagh Lovell, Martin Pirkl, Fergus Gleeson, Roxanne Williams, Jo Cook, Catherine R. Holt, Martyn Hill, Jonathan Cook, James Radford, Ioana R. Marian, Ruth Macpherson, Daisy Elliott, Jenny L. Donovan, Freddie C. Hamdy   +42 more
wiley   +1 more source

The Influence of Prostate Volume on Magnetic Resonance Imaging Diagnostic Performance and the Adjunctive Role of Prostate‐Specific Membrane Antigen Positron Emission Tomography in Detecting Clinically Significant Prostate Cancer

Trends in Urology &Men's Health, Volume 17, Issue 5, October 2026.
ABSTRACT To evaluate the influence of prostate volume on the diagnostic accuracy of multiparametric MRI (mpMRI) in detecting clinically significant prostate cancer (ISUP Grade ≥ 2), using radical prostatectomy (RP) histopathology as the reference standard.
Matthieu Bryan Chun‐Hei Mo, Sachin Joshi, William Harrison, Madeleine Bain, Nikhil Sapre, Devang Desai   +5 more
wiley   +1 more source

Impact of multiparametric magnetic resonance imaging targeted biopsy on functional outcomes in patients following robot-assisted laparoscopic radical prostatectomy

Frontiers in Surgery, 2023
IntroductionMultiparametric magnetic resonance imaging guided prostate biopsy (mpMRI PBx) leads to a higher rate of successful nerve-sparing in robot-assisted laparoscopic prostatectomy (ns-RALP) for prostate cancer (PCa).
Conrad Leitsmann, Annemarie Uhlig, Felix Bremmer, Mirjam Naomi Mohr, Lutz Trojan, Marianne Leitsmann, Mathias Reichert   +6 more
doaj   +1 more source

The ‘Prostate Cancer Screening for People at Genetic Risk of Aggressive Disease’ (PATROL) study

BJU International, Volume 138, Issue 4, Page 600-606, October 2026.
Background Inherited (germline) pathogenic and likely pathogenic variants (gPVs) in key genes associated with increased risk of prostate cancer (PCa) now warrant more attentive PCa screening per National Comprehensive Cancer Network (NCCN) guidelines—e.g., BRCA2, HOXB13, ATM, BRCA1, MSH2, MSH6, CHEK2 and TP53.
Heather H. Cheng, Kara N. Maxwell, Keyan Salari, Matthew R. Cooperberg, Kristin Follmer, Joanne M. Jeter, Grace Jun, Daniel J. Lee, Hiten D. Patel, Edward M. Schaeffer, Alexandra O. Sokolova, Erika M. Wolff, Daniel W. Lin   +12 more
wiley   +1 more source

An update of pitfalls in prostate mpMRI: a practical approach through the lens of PI-RADS v. 2 guidelines [PDF]

, 2017
Objectives The aim of the current report is to provide an update in the imaging interpretation of prostate cancer on multiparametric magnetic resonance imaging (mpMRI), with a special focus on how to discriminate pathological tissue from the most common ...
Francesco Giganti, Yu Xuan Kitzing, François Cornud, Gianluca De Rubeis, Riccardo Campa, Geert Villeirs, Antonio Ciardi, Valeria Panebianco, Carlo Catalano   +8 more
core   +2 more sources

The current role of prostate multiparametric magnetic resonance imaging

Asian Journal of Urology, 2019
Prostate multi-parametric magnetic resonance imaging (mpMRI) has shown excellent sensitivity for Gleason ≥7 cancers, especially when their volume is ≥0.5 mL.
Olivier Rouviere, Paul Cezar Moldovan
doaj   +1 more source

Response evaluation of neoadjuvant therapy in MIBC: clinical trial‐derived evidence to guide practice

BJU International, Volume 138, Issue 4, Page 558-564, October 2026.
Objectives To review how response to neoadjuvant therapy (NAT) is assessed in clinical trials of muscle‐invasive bladder cancer (MIBC), and to determine whether trial‐derived evidence can inform response evaluation in contemporary practice. Subjects/Patients and Methods We searched PubMed, Embase and ClinicalTrials.gov through August 2025 for ...
Roberto Contieri, Bas W.G. van Rhijn, Richard Cathomas, Anja Lorch, Daniela Oprea‐Lager, Paramananthan Mariappan, Francesco Sanguedolce, Antoine G. van der Heijden, Laura S. Mertens, In collaboration with the EAU Imaging Section   +9 more
wiley   +1 more source

Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study.

, 2018
OBJECTIVES: To evaluate if computer-aided diagnosis (CAD) prior to prostate multi-parametric MRI (mpMRI) can improve sensitivity and agreement between radiologists.
Ismail Kabakus, Law, Yan Mee, Merino, Maria J., Greer, Matthew D., Samuel Borofsky, Marko, Jamie, Peter L. Choyke, Turkbey, Baris, Mertan, Francesca V., Nathan Lay, Summers, Ronald M., Jamie Marko, Borofsky, Samuel, Lay, Nathan, Shih, Joanna H., Maria J. Merino, Baris Turkbey, Shebel, Haytham, Bittencourt, Leonardo Kayat, Peter A. Pinto, Kabakus, Ismail, Choyke, Peter L., Haytham Shebel, Barrett, Tristan, Yan Mee Law, Bradford J. Wood, Pinto, Peter A., Tristan Barrett, Matthew D. Greer, Wood, Bradford J., Francesca V. Mertan, Joanna H. Shih, Leonardo Kayat Bittencourt, Ronald M. Summers   +33 more
core   +2 more sources