Literature DB >> 29886090

The Institutional Learning Curve of Magnetic Resonance Imaging-Ultrasound Fusion Targeted Prostate Biopsy: Temporal Improvements in Cancer Detection in 4 Years.

Xiaosong Meng1, Andrew B Rosenkrantz2, Richard Huang1, Fang-Ming Deng3, James S Wysock1, Marc A Bjurlin4, William C Huang1, Herbert Lepor1, Samir S Taneja5.   

Abstract

PURPOSE: While magnetic resonance imaging-ultrasound fusion targeted biopsy allows for improved detection of clinically significant prostate cancer, a concerning amount of clinically significant disease is still missed. We hypothesized that a number of these misses are due to the learning curve associated with magnetic resonance imaging-ultrasound fusion targeted biopsy. We report the results of repeat magnetic resonance imaging-ultrasound fusion targeted biopsy in men with continued suspicion for cancer and the institutional learning curve in the detection of clinically significant prostate cancer with time.
MATERIALS AND METHODS: We analyzed the records of 1,813 prostate biopsies in a prospectively acquired cohort of men who presented for prostate biopsy in a 4-year period. All men were offered prebiopsy magnetic resonance imaging and were assigned a maximum PI-RADS™ (Prostate Imaging Reporting and Data System version 2) score. Biopsy outcomes in men with a suspicious region of interest were compared. The relationship between time and clinically significant prostate cancer detection was analyzed.
RESULTS: The clinically significant prostate cancer detection rate increased 26% with time in men with a PI-RADS 4/5 region of interest. On repeat magnetic resonance imaging-ultrasound fusion targeted biopsy in men with continued suspicion for cancer 53% of those with a PI-RADS 4/5 region of interest demonstrated clinically significant discordance from the initial magnetic resonance imaging-ultrasound fusion targeted biopsy compared to only 23% with a PI-RADS 1/2 region of interest. Significantly less clinically significant prostate cancer was missed or under graded in the most recent biopsies compared to the earliest biopsies.
CONCLUSIONS: The high upgrade rate on repeat magnetic resonance imaging-ultrasound fusion targeted biopsy and the increasing cancer detection rate with time show the significant learning curve associated with magnetic resonance imaging-ultrasound fusion targeted biopsy. Men with low risk or negative biopsies with a persistent, concerning region of interest should be promptly rebiopsied. Improved targeting accuracy with operator experience can help decrease the number of missed cases of clinically significant prostate cancer.
Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  image-guided biopsy; learning curve; magnetic resonance imaging; prostatic neoplasms; ultrasonography

Mesh:

Year:  2018        PMID: 29886090     DOI: 10.1016/j.juro.2018.06.012

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  21 in total

Review 1.  [Fusion biopsies for primary diagnosis of prostate cancer : Implementation, benefits, and clinical aspects].

Authors:  L Püllen; B Hadaschik; D Eberli; T H Kuru
Journal:  Urologe A       Date:  2019-05       Impact factor: 0.639

2.  Update of the Standard Operating Procedure on the Use of Multiparametric Magnetic Resonance Imaging for the Diagnosis, Staging and Management of Prostate Cancer.

Authors:  Marc A Bjurlin; Peter R Carroll; Scott Eggener; Pat F Fulgham; Daniel J Margolis; Peter A Pinto; Andrew B Rosenkrantz; Jonathan N Rubenstein; Daniel B Rukstalis; Samir S Taneja; Baris Turkbey
Journal:  J Urol       Date:  2019-10-23       Impact factor: 7.450

Review 3.  Developing a National Center of Excellence for Prostate Imaging.

Authors:  Annerleim Walton-Diaz; Manuel Madariaga-Venegas; Nicolas Aviles; Juan Carlos Roman; Ivan Gallegos; Mauricio Burotto
Journal:  Curr Urol Rep       Date:  2019-09-02       Impact factor: 3.092

Review 4.  All change in the prostate cancer diagnostic pathway.

Authors:  Derek J Lomas; Hashim U Ahmed
Journal:  Nat Rev Clin Oncol       Date:  2020-02-28       Impact factor: 66.675

Review 5.  MRI-targeted prostate biopsy: the next step forward!

Authors:  Emanuel Darius Cata; Iulia Andras; Teodora Telecan; Attila Tamas-Szora; Radu-Tudor Coman; Dan-Vasile Stanca; Ioan Coman; Nicolae Crisan
Journal:  Med Pharm Rep       Date:  2021-04-29

6.  Analyzing the learning curves of a novice and an experienced urologist for transrectal magnetic resonance imaging-ultrasound fusion prostate biopsy.

Authors:  Emanuel Darius Cata; Charles Van Praet; Iulia Andras; Pierre Kadula; Razvan Ognean; Maximilian Buzoianu; Daniel Leucuta; Cosmin Caraiani; Attila Tamas-Szora; Karel Decaestecker; Ioan Coman; Nicolae Crisan
Journal:  Transl Androl Urol       Date:  2021-05

7.  Comparison of biopsy strategies for prostate biopsy according to lesion size and PSA density in MRI-directed biopsy pathway.

Authors:  Mi Yeon Park; Kye Jin Park; Bumjin Lim; Mi-Hyun Kim; In Gab Jeong; Jeong Kon Kim
Journal:  Abdom Radiol (NY)       Date:  2020-07-31

8.  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

9.  MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis.

Authors:  Michael Ahdoot; Andrew R Wilbur; Sarah E Reese; Amir H Lebastchi; Sherif Mehralivand; Patrick T Gomella; Jonathan Bloom; Sandeep Gurram; Minhaj Siddiqui; Paul Pinsky; Howard Parnes; W Marston Linehan; Maria Merino; Peter L Choyke; Joanna H Shih; Baris Turkbey; Bradford J Wood; Peter A Pinto
Journal:  N Engl J Med       Date:  2020-03-05       Impact factor: 91.245

10.  Developing a coordinate-based strategy to support cognitive targeted prostate biopsies and correlative spatial-histopathological outcome analysis.

Authors:  Keiran D Clement; Lizzy Day; Helen Rooney; Matt Neilson; Fiona Birrell; Mark Salji; Elizabeth Norman; Ross Clark; Amit Patel; John Morrison; Hing Y Leung
Journal:  Asian J Androl       Date:  2021 May-Jun       Impact factor: 3.285

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