The role of digital rectal examination prostate volume category in the early detection of prostate cancer: Its correlation with the magnetic resonance imaging prostate volume

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• dc.contributor.author Morote, Juan
• dc.contributor.author Picola, Natàlia
• dc.contributor.author Muñoz Rodriguez, Jesús
• dc.contributor.author Paesano, Nahuel
• dc.contributor.author Ruiz Plazas, Xavier
• dc.contributor.author Muñoz-Rivero, Marta V.
• dc.contributor.author Celma, Anna
• dc.contributor.author García de Manuel, Gemma
• dc.contributor.author Miró, Berta
• dc.contributor.author Abascal-Junquera, José María
• dc.contributor.author Servian, Pol
• dc.date.accessioned 2024-11-08T08:20:57Z
• dc.date.available 2024-11-08T08:20:57Z
• dc.date.issued 2024
• dc.description.abstract Purpose: To relate the prostate volume category (PVC) assessed with digital rectal examination (DRE)-small, median, and large-and the prostate volumes (PVs) assessed with magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS). To compare the clinically significant prostate cancer (csPCa) discrimination ability of two predictive models based on DRE-PVC and MRI-PV. Materials and methods: A prospective trial of 2,090 men with prostate-specific antigen >3 ng/mL and/or PCa suspicious DRE were prospectively recruited in 10 centers from Catalonia (Spain), between 2021 and 2022, in whom DRE-PVC was assessed. Pre-biopsy MRI, and 12-core TRUS-random biopsy was always performed after 2- to 6-core TRUS-fusion targeted biopsy of prostate imaging-report and data system >3 lesions. In 370 men (17.7%) the DRE-PVC was unconclusive. Among the 1,720 men finally analyzed the csPCa (grade group >2) detection was 42.4%. Results: The median (interquartile range) of TRUS and MRI-PVs of small prostates were 33 mL (19-37 mL) and 35 mL (23-30 mL), p=0.410; in median prostates they were 51 mL (38-58 mL) and 55 mL (48-63 mL) respectively, p<0.001; in large prostates 80 mL (60-100 mL) and 95 mL (75-118 mL) respectively, p<0.001. The predictive models sharing the MRI-PV and DRE-PVC showed areas under the curves of 0.832 (95% confidence interval [CI], 0.813-0.851) and 0.828 (95% CI, 0.809-0.848) respectively, p=0.632, as well as similar net benefit and clinical utility. Conclusions: PVC was unconclusive in 17% of DREs. MRI-PV overestimated the TRUS-PV in median and large prostates. The predictive models based on MRI-PV and DRE-PVC showed similar efficacy to predict csPCa. PVC assessed with DRE is helpful to predict the csPCa risk before MRI.
• dc.format.mimetype application/pdf
• dc.identifier.citation Morote J, Picola N, Muñoz-Rodriguez J, Paesano N, Ruiz-Plazas X, Muñoz-Rivero MV, et al. The role of digital rectal examination prostate volume category in the early detection of prostate cancer: Its correlation with the magnetic resonance imaging prostate volume. World J Mens Health. 2024 Apr;42(2):441-8. DOI: 10.5534/wjmh.230028
• dc.identifier.doi http://dx.doi.org/10.5534/wjmh.230028
• dc.identifier.issn 2287-4208
• dc.identifier.uri http://hdl.handle.net/10230/68470
• dc.language.iso eng
• dc.publisher Korean Society for Sexual Medicine and Andrology
• dc.relation.ispartof World J Mens Health. 2024 Apr;42(2):441-8
• dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0
• dc.subject.keyword Digital rectal examination
• dc.subject.keyword Magnetic resonance imaging
• dc.subject.keyword Predictive model
• dc.subject.keyword Prostate volume
• dc.subject.keyword Prostate volume category
• dc.subject.keyword Transrectal ultrasound
• dc.title The role of digital rectal examination prostate volume category in the early detection of prostate cancer: Its correlation with the magnetic resonance imaging prostate volume
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion