Beyond the Learning Curve of Prostate MRI/TRUS Target Fusion Biopsy after More than 1000 Procedures

被引:14
作者
Checcucci, Enrico [1 ]
Piramide, Federico
Amparore, Daniele
De Cillis, Sabrina
Granato, Stefano
Sica, Michele
Verri, Paolo
Volpi, Gabriele
Piana, Alberto
Garrou, Diletta
Manfredi, Matteo
Fiori, Cristian
Porpiglia, Francesco
机构
[1] Univ Turin, San Luigi Gonzaga Hosp, Div Urol, Dept Oncol, Reg Gonzole 10, I-10043 Turin, Italy
关键词
CANCER DETECTION; NEURAL-NETWORKS; RECOMMENDATIONS; GUIDELINES; UROLOGY;
D O I
10.1016/j.urology.2021.06.021
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE To evaluate the learning curve (LC) of two urology residents in the execution of fusion biopsy (FB) in terms of overall prostate cancer (PCa) and clinically significant (cs) PCa detection rate (DR) and according to different characteristics of the lesions on MRI MATERIAL AND METHODS We analyzed data from our prospective maintained FB database between January 2015 and December 2019. FB was performed using the BioJet fusion system (D&K Technologies, Barum, Germany) with a transrectal or transperineal approach. An ANOVA test was used to evaluate the homogeneity of our cohort. Multivariable linear and logistic regression analysis were used to evaluate the relationship between operator experience and DR for PCa and csPCa. Then, the postprocedural complication rate trend was evaluated. RESULTS 1005 patients were included. The overall DR of PCa was 61.2% (615/1005) [IC 0.58 - 0.64]; whilst DR for csPCA was 54.6% (549/1005) [IC 0.51 - 0.57]. Operator experience does not seem to influence the DR of overall PCa and csPCa; whilst for lesions <8 mm in diameter, PCa and csPCa DR increased significantly with operator experience (P = 0.048 and P = 0.038, respectively). Postprocedural complications remained stable during the whole study period (P = 0.75). CONCLUSION A standardized FB approach turned out to be feasible, safe, and effective since the beginning of the residents' LC. PCa and csPCa DR remained stable, at 60% and 55% respectively, after more than 1,000 biopsies. However, for lesions smaller than 8 mm, at least 100 FB of experience is needed to correctly sample the area. (C) 2021 Elsevier Inc.
引用
收藏
页码:39 / 45
页数:7
相关论文
共 29 条
[11]   ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists' training [J].
de Rooij, Maarten ;
Israel, Bas ;
Tummers, Marcia ;
Ahmed, Hashim U. ;
Barrett, Tristan ;
Giganti, Francesco ;
Hamm, Bernd ;
Logager, Vibeke ;
Padhani, Anwar ;
Panebianco, Valeria ;
Puech, Philippe ;
Richenberg, Jonathan ;
Rouviere, Olivier ;
Salomon, Georg ;
Schoots, Ivo ;
Veltman, Jeroen ;
Villeirs, Geert ;
Walz, Jochen ;
Barentsz, Jelle O. .
EUROPEAN RADIOLOGY, 2020, 30 (10) :5404-5416
[12]   Classification of surgical complications - A new proposal with evaluation in a cohort of 6336 patients and results of a survey [J].
Dindo, D ;
Demartines, N ;
Clavien, PA .
ANNALS OF SURGERY, 2004, 240 (02) :205-213
[13]   Multiparametric Magnetic Resonance Imaging for the Detection of Clinically Significant Prostate Cancer: What Urologists Need to Know. Part 1: Acquisition [J].
Engels, Rianne R. M. ;
Israel, Bas ;
Padhani, Anwar R. ;
Barentsz, Jelle O. .
EUROPEAN UROLOGY, 2020, 77 (04) :457-468
[14]   Defining the learning curve for multiparametric magnetic resonance imaging (MRI) of the prostate using MRI-transrectal ultrasonography (TRUS) fusion-guided transperineal prostate biopsies as a validation tool [J].
Gaziev, Gabriele ;
Wadhwa, Karan ;
Barrett, Tristan ;
Koo, Brendan C. ;
Gallagher, Ferdia A. ;
Serrao, Eva ;
Frey, Julia ;
Seidenader, Jonas ;
Carmona, Lina ;
Warren, Anne ;
Gnanapragasam, Vincent ;
Doble, Andrew ;
Kastner, Christof .
BJU INTERNATIONAL, 2016, 117 (01) :80-86
[15]   The Learning Curve for Magnetic Resonance Imaging/Ultrasound Fusion-guided Prostate Biopsy [J].
Kasabwala, Khushabu ;
Patel, Neal ;
Cricco-Lizza, Eliza ;
Shimpi, Adrian A. ;
Weng, Stanley ;
Buchmann, Rose M. ;
Motanagh, Samaneh ;
Wu, Yiyuan ;
Banerjee, Samprit ;
Khani, Francesca ;
Margolis, Daniel J. ;
Robinson, Brian D. ;
Hu, Jim C. .
EUROPEAN UROLOGY ONCOLOGY, 2019, 2 (02) :135-140
[16]   MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis [J].
Kasivisvanathan, V ;
Rannikko, A. S. ;
Borghi, M. ;
Panebianco, V ;
Mynderse, L. A. ;
Vaarala, M. H. ;
Briganti, A. ;
Budaus, L. ;
Hellawell, G. ;
Hindley, R. G. ;
Roobol, M. J. ;
Eggener, S. ;
Ghei, M. ;
Villers, A. ;
Bladou, F. ;
Villeirs, G. M. ;
Virdi, J. ;
Boxler, S. ;
Robert, G. ;
Singh, P. B. ;
Venderink, W. ;
Hadaschik, B. A. ;
Ruffion, A. ;
Hu, J. C. ;
Margolis, D. ;
Crouzet, S. ;
Klotz, L. ;
Taneja, S. S. ;
Pinto, P. ;
Gill, I ;
Allen, C. ;
Giganti, F. ;
Freeman, A. ;
Morris, S. ;
Punwani, S. ;
Williams, N. R. ;
Brew-Graves, C. ;
Deeks, J. ;
Takwoingi, Y. ;
Emberton, M. ;
Moore, C. M. .
NEW ENGLAND JOURNAL OF MEDICINE, 2018, 378 (19) :1767-1777
[17]   Magnetic Resonance Imaging-targeted Biopsy Versus Systematic Biopsy in the Detection of Prostate Cancer: A Systematic Review and Meta-analysis [J].
Kasivisvanathan, Veeru ;
Stabile, Armando ;
Neves, Joana B. ;
Giganti, Francesco ;
Valerio, Massimo ;
Shanmugabavan, Yaalini ;
Clement, Keiran D. ;
Sarkar, Debashis ;
Philippou, Yiannis ;
Thurtle, David ;
Deeks, Jonathan ;
Emberton, Mark ;
Takwoingi, Yemisi ;
Moore, Caroline M. .
EUROPEAN UROLOGY, 2019, 76 (03) :284-303
[18]   Active Surveillance Magnetic Resonance Imaging Study (ASIST): Results of a Randomized Multicenter Prospective Trial [J].
Klotz, Laurence ;
Loblaw, Andrew ;
Sugar, Linda ;
Moussa, Madeline ;
Berman, David M. ;
Van der Kwast, Theo ;
Vesprini, Danny ;
Milot, Laurent ;
Kebabdjian, Marlene ;
Fleshner, Neil ;
Ghai, Sangeet ;
Chin, Joe ;
Pond, Gregory R. ;
Haider, Masoom .
EUROPEAN UROLOGY, 2019, 75 (02) :300-309
[19]   Critical Evaluation of Magnetic Resonance Imaging Targeted, Transrectal Ultrasound Guided Transperineal Fusion Biopsy for Detection of Prostate Cancer [J].
Kuru, Timur H. ;
Roethke, Matthias C. ;
Seidenader, Jonas ;
Simpfendoerfer, Tobias ;
Boxler, Silvan ;
Alammar, Khalid ;
Rieker, Philip ;
Popeneciu, Valentin I. ;
Roth, Wilfried ;
Pahernik, Sascha ;
Schlemmer, Heinz-Peter ;
Hohenfellner, Markus ;
Hadaschik, Boris A. .
JOURNAL OF UROLOGY, 2013, 190 (04) :1380-1386
[20]   From novice to expert: analyzing the learning curve for MRI-transrectal ultrasonography fusion-guided transrectal prostate biopsy [J].
Mager, R. ;
Brandt, M. P. ;
Borgmann, H. ;
Gust, K. M. ;
Haferkamp, A. ;
Kurosch, M. .
INTERNATIONAL UROLOGY AND NEPHROLOGY, 2017, 49 (09) :1537-1544