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Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve
PURPOSE: Transperineal mpMRI-targeted fusion prostate biopsies (TPFBx) are recommended for prostate cancer diagnosis, but little is known about their learning curve (LC), especially when performed under local anaesthesia (LA). We investigated how operators’ and institutions’ experience might affect...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693515/ https://www.ncbi.nlm.nih.gov/pubmed/37823940 http://dx.doi.org/10.1007/s00345-023-04642-2 |
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author | Calleris, Giorgio Marquis, Alessandro Zhuang, Junlong Beltrami, Mattia Zhao, Xiaozhi Kan, Yansheng Oderda, Marco Huang, Haifeng Faletti, Riccardo Zhang, Qing Molinaro, Luca Wang, Wei Guo, Hongqian Gontero, Paolo Marra, Giancarlo |
author_facet | Calleris, Giorgio Marquis, Alessandro Zhuang, Junlong Beltrami, Mattia Zhao, Xiaozhi Kan, Yansheng Oderda, Marco Huang, Haifeng Faletti, Riccardo Zhang, Qing Molinaro, Luca Wang, Wei Guo, Hongqian Gontero, Paolo Marra, Giancarlo |
author_sort | Calleris, Giorgio |
collection | PubMed |
description | PURPOSE: Transperineal mpMRI-targeted fusion prostate biopsies (TPFBx) are recommended for prostate cancer diagnosis, but little is known about their learning curve (LC), especially when performed under local anaesthesia (LA). We investigated how operators’ and institutions’ experience might affect biopsy results. METHODS: Baseline, procedure and pathology data of consecutive TPFBx under LA were prospectively collected at two academic Institutions, from Sep 2016 to May 2019. Main inclusion criterion was a positive MRI. Endpoints were biopsy duration, clinically significant prostate cancer detection rate on targeted cores (csCDR-T), complications, pain and urinary function. Data were analysed per-centre and per-operator (with ≥ 50 procedures), comparing groups of consecutive patient, and subsequently through regression and CUSUM analyses. Learning curves were plotted using an adjusted lowess smoothing function. RESULTS: We included 1014 patients, with 27.3% csCDR-T and a median duration was 15 min (IQR 12–18). A LC for biopsy duration was detected, with the steeper phase ending after around 50 procedures, in most operators. No reproducible evidence in favour of an impact of experience on csPCa detection was found at operator’s level, whilst a possible gentle LC of limited clinical relevance emerged at Institutional level; complications, pain and IPSS variations were not related to operator experience. CONCLUSION: The implementation of TPFBx under LA was feasible, safe and efficient since early phases with a relatively short learning curve for procedure time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-023-04642-2. |
format | Online Article Text |
id | pubmed-10693515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106935152023-12-04 Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve Calleris, Giorgio Marquis, Alessandro Zhuang, Junlong Beltrami, Mattia Zhao, Xiaozhi Kan, Yansheng Oderda, Marco Huang, Haifeng Faletti, Riccardo Zhang, Qing Molinaro, Luca Wang, Wei Guo, Hongqian Gontero, Paolo Marra, Giancarlo World J Urol Topic Paper PURPOSE: Transperineal mpMRI-targeted fusion prostate biopsies (TPFBx) are recommended for prostate cancer diagnosis, but little is known about their learning curve (LC), especially when performed under local anaesthesia (LA). We investigated how operators’ and institutions’ experience might affect biopsy results. METHODS: Baseline, procedure and pathology data of consecutive TPFBx under LA were prospectively collected at two academic Institutions, from Sep 2016 to May 2019. Main inclusion criterion was a positive MRI. Endpoints were biopsy duration, clinically significant prostate cancer detection rate on targeted cores (csCDR-T), complications, pain and urinary function. Data were analysed per-centre and per-operator (with ≥ 50 procedures), comparing groups of consecutive patient, and subsequently through regression and CUSUM analyses. Learning curves were plotted using an adjusted lowess smoothing function. RESULTS: We included 1014 patients, with 27.3% csCDR-T and a median duration was 15 min (IQR 12–18). A LC for biopsy duration was detected, with the steeper phase ending after around 50 procedures, in most operators. No reproducible evidence in favour of an impact of experience on csPCa detection was found at operator’s level, whilst a possible gentle LC of limited clinical relevance emerged at Institutional level; complications, pain and IPSS variations were not related to operator experience. CONCLUSION: The implementation of TPFBx under LA was feasible, safe and efficient since early phases with a relatively short learning curve for procedure time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-023-04642-2. Springer Berlin Heidelberg 2023-10-12 2023 /pmc/articles/PMC10693515/ /pubmed/37823940 http://dx.doi.org/10.1007/s00345-023-04642-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Topic Paper Calleris, Giorgio Marquis, Alessandro Zhuang, Junlong Beltrami, Mattia Zhao, Xiaozhi Kan, Yansheng Oderda, Marco Huang, Haifeng Faletti, Riccardo Zhang, Qing Molinaro, Luca Wang, Wei Guo, Hongqian Gontero, Paolo Marra, Giancarlo Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
title | Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
title_full | Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
title_fullStr | Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
title_full_unstemmed | Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
title_short | Impact of operator expertise on transperineal free-hand mpMRI-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
title_sort | impact of operator expertise on transperineal free-hand mpmri-fusion-targeted biopsies under local anaesthesia for prostate cancer diagnosis: a multicenter prospective learning curve |
topic | Topic Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693515/ https://www.ncbi.nlm.nih.gov/pubmed/37823940 http://dx.doi.org/10.1007/s00345-023-04642-2 |
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