Results 151 to 160 of about 88,800 (280)

Long‐term patient‐reported outcomes of open urorectal fistula repair after prostate cancer treatment

BJU International, Volume 137, Issue 6, Page 1067-1075, June 2026.
Objectives To evaluate long‐term outcomes of open urorectal fistula (URF) repair, including URF recurrence, need for re‐intervention, and patient‐reported outcomes. Patients and Methods This retrospective study included men undergoing open URF repair between 2014 and 2024.
Max C. Wagner, Jakob Klemm, Navid Roessler, Robert J. Schulz, Dejan K. Filipas, Margit Fisch, Roland Dahlem, Malte W. Vetterlein   +7 more
wiley   +1 more source

A survivorship-oriented enhanced care model for patients undergoing radical prostatectomy. [PDF]

PLoS One
Yuan X, Chen Y, Lu H, Zheng P, Zhang Y, Chen M, Sheng X.   +6 more
europepmc   +1 more source

Low‐intensity shockwave therapy for erectile dysfunction: An abridged Cochrane review

BJU International, Volume 137, Issue 6, Page 949-957, June 2026.
Objective To assess the efficacy and safety of low‐intensity shockwave therapy (LiSWT) for treating erectile dysfunction (ED) compared to sham therapy. Methods This summary is based on the Cochrane systematic review published in the Cochrane Database of Systematic Reviews 2025, Issue 7 (CD013166).
Onuralp Ergun, Kwangmin Kim, Myung Ha Kim, Eu Chang Hwang, Yooni Blair, Ahmet Gudeloglu, Sijo Parekattil, Philipp Dahm   +7 more
wiley   +1 more source

Application and efficacy of Retzius-sparing robotic-assisted radical prostatectomy. [PDF]

Front Surg
Zeng Z, Zhang F, Luo N, Li Y, Zou X, Xu H.   +5 more
europepmc   +1 more source

Long‐term outcomes of cribriform‐positive and cribriform‐negative prostate cancer treated with radical prostatectomy in the ProtecT trial

BJU International, Volume 137, Issue 6, Page 984-991, June 2026.
Objectives To retrospectively analyse the results of the Prostate Testing for Cancer and Treatment (ProtecT; ClinicalTrials.gov identifier: NCT02044172) trial to establish the association between cribriform‐positive and ‐negative prostate cancer (PCa) and the 15‐year risk of metastasis or death from PCa in patients who underwent radical prostatectomy ...
Nikita Sushentsev, Anne Y. Warren, Richard Colling, Clare Verrill, Ekaterina Pazukhina, Oleg Blyuss, Alexey Zaikin, Tyler M. Seibert, Tristan Barrett, Jon Oxley, Ian G. Mills, Richard J. Bryant, J. Athene Lane, Jenny L. Donovan, David E. Neal, Freddie C. Hamdy   +15 more
wiley   +1 more source

Anthropometric assessment of obesity in robotic‐assisted laparoscopic prostatectomy: A systematic review

BJUI Compass, Volume 7, Issue 5, May 2026.
Abstract Introduction Obesity rates are rising among prostate cancer patients undergoing robotic‐assisted laparoscopic prostatectomy (RALP). This review evaluates the anthropometric tools used to study this group and their correlation with surgical outcomes.
Ashley Lee, Elizabeth Crostella, Ann Grand, Matthew Brown   +3 more
wiley   +1 more source

Outcomes of Retzius-sparing robot-assisted radical prostatectomy in men aged ≥ 75 years. [PDF]

BMC Urol
Fransis K, Bouziotis J, Tappero S, De Wachter S, Dirix P, De Win G.   +5 more
europepmc   +1 more source

Factors Associated With Rectal Spacer Use in Prostate Cancer Patients Receiving Radiation Therapy

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Background/Objective Prostate cancer is a leading cause of cancer‐related death among men in the United States. However, the influence of demographic, socioeconomic, regional, and treatment‐related factors on rectal spacer use among men treated with radiation therapy remains largely unexplored in the literature.
Ryan A. Hankins, Kathryn C. Morris, Alysha M. McGovern, Jennifer Zack, Sean P. Collins, James B. Yu   +5 more
wiley   +1 more source

Mapping the evolution and research landscape of Retzius-sparing robot-assisted radical prostatectomy: a bibliometric analysis. [PDF]

J Robot Surg
Öktem Ç, Yıldız AK, Gökkurt Y, Bayraktar AB, Varan A, Erbay ÖF.   +5 more
europepmc   +1 more source

Predicting Prostate Cancer Risk and Its Associated Factors Using Machine Learning Techniques: A Retrospective Study

Health Science Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background and Aims Prostate cancer affects many people around the world and is fatal. Today, artificial intelligence‐based techniques are widely used to predict and diagnose diseases. This study aimed to use machine learning‐based techniques to predict and identify the most significant risk factors of prostate cancer.
Serveh Mohammadi, Behzad Imani, Soheila Saeedi, Mohammad Ali Amirzargar   +3 more
wiley   +1 more source