Literature DB >> 30560300

Association of training level and outcome of software-based image fusion-guided targeted prostate biopsies.

Niklas Westhoff1, Henning Haumann2, Maximilian Christian Kriegmair2, Jost von Hardenberg2, Johannes Budjan3, Stefan Porubsky4, Maurice Stephan Michel2, Patrick Honeck2, Manuel Ritter2.   

Abstract

PURPOSE: The aim of this study was to assess the impact of experience on the outcome of image fusion-guided prostate biopsies performed by urologists working at a high-volume medical center.
METHODS: The first 210 consecutive fusion biopsies were analyzed following installation of the software-based biopsy platform Artemis™ (Eigen, USA). The impact of training was measured in terms of changes in prostate cancer detection rates and biopsy duration over time. We sought to identify a threshold of experience for urologists, which predicts higher detection rates of targeted biopsies. The influence of various factors on prostate cancer detection rates was evaluated using bi- and multivariate analysis.
RESULTS: Twenty-two urologists (n = 9 senior urologists, n = 13 urological residents) performed targeted biopsies followed by systematic 12-core biopsies. Overall, targeted biopsies yielded a positive result in 39.6% of 260 suspicious MRI lesions. A subgroup analysis of the six urologists who performed more than ten biopsies was then conducted, and their level of experience (i.e., performance of more than eight biopsies) was found to be associated with higher detection rates than those with less experience (49.0% and 23.0%, respectively; p < 0.001) in the targeted biopsies. Experience was likewise a significant and independent predictor of a cancer-positive targeted biopsy (p = 0.002). Experienced senior physicians did not outperform residents in their targeted biopsy results. Further, biopsy duration correlated negatively (r = - 0.5931, p < 0.001) with the total number of biopsies performed for all subgroups during the period of assessment.
CONCLUSIONS: Experience is an important predictor of the rate of detection in targeted biopsies using software-based biopsy platforms with semi-robotic assistance. Moreover, the performance of just a few procedures appears sufficient to increase biopsy effectiveness significantly. Lastly, supervision by experts is recommended during the training phase.

Entities:  

Keywords:  Biopsy; Fusion; Learning curve; Multiparametric MRI; Prostatic neoplasm

Mesh:

Year:  2018        PMID: 30560300     DOI: 10.1007/s00345-018-2605-z

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  25 in total

1.  From novice to expert: analyzing the learning curve for MRI-transrectal ultrasonography fusion-guided transrectal prostate biopsy.

Authors:  R Mager; M P Brandt; H Borgmann; K M Gust; A Haferkamp; M Kurosch
Journal:  Int Urol Nephrol       Date:  2017-06-23       Impact factor: 2.370

2.  Relationship Between Prebiopsy Multiparametric Magnetic Resonance Imaging (MRI), Biopsy Indication, and MRI-ultrasound Fusion-targeted Prostate Biopsy Outcomes.

Authors:  Xiaosong Meng; Andrew B Rosenkrantz; Neil Mendhiratta; Michael Fenstermaker; Richard Huang; James S Wysock; Marc A Bjurlin; Susan Marshall; Fang-Ming Deng; Ming Zhou; Jonathan Melamed; William C Huang; Herbert Lepor; Samir S Taneja
Journal:  Eur Urol       Date:  2015-06-22       Impact factor: 20.096

3.  The Learning Curve in Prostate MRI Interpretation: Self-Directed Learning Versus Continual Reader Feedback.

Authors:  Andrew B Rosenkrantz; Abimbola Ayoola; David Hoffman; Anunita Khasgiwala; Vinay Prabhu; Paul Smereka; Molly Somberg; Samir S Taneja
Journal:  AJR Am J Roentgenol       Date:  2016-12-27       Impact factor: 3.959

Review 4.  Target detection: magnetic resonance imaging-ultrasound fusion-guided prostate biopsy.

Authors:  Geoffrey A Sonn; Daniel J Margolis; Leonard S Marks
Journal:  Urol Oncol       Date:  2013-11-13       Impact factor: 3.498

5.  Prostate cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of systematic and targeted biopsies.

Authors:  Christopher P Filson; Shyam Natarajan; Daniel J A Margolis; Jiaoti Huang; Patricia Lieu; Frederick J Dorey; Robert E Reiter; Leonard S Marks
Journal:  Cancer       Date:  2016-01-07       Impact factor: 6.860

6.  Changes in prostate cancer detection rate of MRI-TRUS fusion vs systematic biopsy over time: evidence of a learning curve.

Authors:  B Calio; A Sidana; D Sugano; S Gaur; A Jain; M Maruf; S Xu; P Yan; J Kruecker; M Merino; P Choyke; B Turkbey; B Wood; P Pinto
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-08-01       Impact factor: 5.554

7.  A Randomized Controlled Trial To Assess and Compare the Outcomes of Two-core Prostate Biopsy Guided by Fused Magnetic Resonance and Transrectal Ultrasound Images and Traditional 12-core Systematic Biopsy.

Authors:  Eduard Baco; Erik Rud; Lars Magne Eri; Gunnar Moen; Ljiljana Vlatkovic; Aud Svindland; Heidi B Eggesbø; Osamu Ukimura
Journal:  Eur Urol       Date:  2015-04-07       Impact factor: 20.096

8.  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.

Authors:  Gabriele Gaziev; Karan Wadhwa; Tristan Barrett; Brendan C Koo; Ferdia A Gallagher; Eva Serrao; Julia Frey; Jonas Seidenader; Lina Carmona; Anne Warren; Vincent Gnanapragasam; Andrew Doble; Christof Kastner
Journal:  BJU Int       Date:  2015-05-11       Impact factor: 5.588

Review 9.  Targeted Prostate Biopsy in the Era of Active Surveillance.

Authors:  Fuad F Elkhoury; Demetrios N Simopoulos; Leonard S Marks
Journal:  Urology       Date:  2017-09-27       Impact factor: 2.633

Review 10.  Multiparametric MRI and targeted prostate biopsy: Improvements in cancer detection, localization, and risk assessment.

Authors:  Marc A Bjurlin; Neil Mendhiratta; James S Wysock; Samir S Taneja
Journal:  Cent European J Urol       Date:  2016-01-25
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  1 in total

1.  Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.

Authors:  Armando Stabile; Francesco Giganti; Veeru Kasivisvanathan; Gianluca Giannarini; Caroline M Moore; Anwar R Padhani; Valeria Panebianco; Andrew B Rosenkrantz; Georg Salomon; Baris Turkbey; Geert Villeirs; Jelle O Barentsz
Journal:  Eur Urol Oncol       Date:  2020-03-17
  1 in total

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