Literature DB >> 30694165

Value of Increasing Biopsy Cores per Target with Cognitive MRI-targeted Transrectal US Prostate Biopsy.

Michelle Zhang1, Laurent Milot1, Farzad Khalvati1, Linda Sugar1, Michelle Downes1, Sarah M Baig1, Laurence Klotz1, Masoom A Haider1.   

Abstract

Purpose To determine the increase in clinically significant cancer detection in the prostate with increasing number of core samples obtained by using cognitive MRI-targeted transrectal US biopsy. Materials and Methods This retrospective cross-sectional study included 330 consecutive patients (mean age, 64.3 years; range, 42-84 years) who underwent multiparametric prostate MRI from March 2012 to July 2017 and had an index lesion that subsequently underwent cognitive MRI-targeted biopsy using transrectal US with at least five core samples (which were sequentially labeled) per lesion. The detection rate of clinically significant cancer was calculated on sequential biopsy cores, comparing the first core alone versus three cores versus five cores per target. Clinically significant cancer was defined as International Society of Urological Pathology Grade Group 2 or higher. Results Increasing the number of biopsy core samples from one to three per target and from three to five per target increased the detection rate of clinically significant cancer by 6.4% (21 of 330) and 2.4% (eight of 330), respectively. The target yield for clinically significant cancer was 26% (87 of 330), 33% (108 of 330), and 35% (116 of 330) for one, three, and five cores, respectively. Subgroup analysis showed no significant difference in upgrade rates as a function of multiparametric MRI lesion size (P = .53-.59) or location (P = .28-.89). Conclusion More clinically significant prostate cancers are detected when increasing the number of core biopsy samples per index lesion from one to three and from three to five (6.4% and 2.4%, respectively) when performing cognitive MRI-targeted transrectal US biopsy. © RSNA, 2019 See also the editorial by Oto in this issue.

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Year:  2019        PMID: 30694165     DOI: 10.1148/radiol.2019180712

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

Review 1.  PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway.

Authors:  Anwar R Padhani; Jelle Barentsz; Geert Villeirs; Andrew B Rosenkrantz; Daniel J Margolis; Baris Turkbey; Harriet C Thoeny; François Cornud; Masoom A Haider; Katarzyna J Macura; Clare M Tempany; Sadhna Verma; Jeffrey C Weinreb
Journal:  Radiology       Date:  2019-06-11       Impact factor: 11.105

2.  Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer: A Cancer Care Ontario updated clinical practice guideline.

Authors:  Masoom A Haider; Judy Brown; Jospeh L K Chin; Nauthan Perlis; Nicola Schieda; Andrew Loblaw
Journal:  Can Urol Assoc J       Date:  2022-02       Impact factor: 1.862

3.  Prostate cancer screening - is it time to change approach?

Authors:  Marek Vargovčák; Erik Dorko; Kvetoslava Rimárová; Viliam Knap
Journal:  Cent Eur J Public Health       Date:  2022-06       Impact factor: 1.154

4.  MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed.

Authors:  Nick Lasse Beetz; Franziska Dräger; Charlie Alexander Hamm; Seyd Shnayien; Madhuri Monique Rudolph; Konrad Froböse; Sefer Elezkurtaj; Matthias Haas; Patrick Asbach; Bernd Hamm; Samy Mahjoub; Frank Konietschke; Maximilian Wechsung; Felix Balzer; Hannes Cash; Sebastian Hofbauer; Tobias Penzkofer
Journal:  Prostate Cancer Prostatic Dis       Date:  2022-10-08       Impact factor: 5.455

5.  Prostate cancer: diagnostic yield of modified transrectal ultrasound-guided twelve-core combined biopsy (targeted plus systematic biopsies) using prebiopsy magnetic resonance imaging.

Authors:  Chorog Song; Sung Yoon Park
Journal:  Abdom Radiol (NY)       Date:  2021-06-28

6.  When to biopsy Prostate Imaging and Data Reporting System version 2 (PI-RADSv2) assessment category 3 lesions? Use of clinical and imaging variables to predict cancer diagnosis at targeted biopsy.

Authors:  Christopher S Lim; Jorge Abreu-Gomez; Michel-Alexandre Leblond; Ivan Carrion; Danny Vesprini; Nicola Schieda; Laurence Klotz
Journal:  Can Urol Assoc J       Date:  2021-04       Impact factor: 1.862

7.  TRUS-Guided Target Biopsy for a PI-RADS 3-5 Index Lesion to Reduce Gleason Score Underestimation: A Propensity Score Matching Analysis.

Authors:  Jae Hoon Chung; Byung Kwan Park; Wan Song; Minyong Kang; Hyun Hwan Sung; Hwang Gyun Jeon; Byong Chang Jeong; Seong Il Seo; Seong Soo Jeon; Hyun Moo Lee
Journal:  Front Oncol       Date:  2022-01-24       Impact factor: 6.244

8.  Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study).

Authors:  Olivier Rouvière; Rémi Souchon; Carole Lartizien; Adeline Mansuy; Laurent Magaud; Matthieu Colom; Marine Dubreuil-Chambardel; Sabine Debeer; Tristan Jaouen; Audrey Duran; Pascal Rippert; Benjamin Riche; Caterina Monini; Virginie Vlaeminck-Guillem; Julie Haesebaert; Muriel Rabilloud; Sébastien Crouzet
Journal:  BMJ Open       Date:  2022-02-09       Impact factor: 2.692

9.  Magnetic Resonance Imaging (MRI)-Targeted Biopsy in Patients with Prostate-Specific Antigen (PSA) Levels <20 ng/mL: A Single-Center Study in Northeastern China.

Authors:  Zhihong Dai; Yangyang Liu; Zhao Huangfu; Liang Wang; Zhiyu Liu
Journal:  Med Sci Monit       Date:  2021-08-08

10.  Clinical implementation of pre-biopsy magnetic resonance imaging pathways for the diagnosis of prostate cancer.

Authors:  Bas Israël; Jos Immerzeel; Marloes van der Leest; Gerjon Hannink; Patrik Zámecnik; Joyce Bomers; Ivo G Schoots; Jean-Paul van Basten; Frans Debruyne; Inge van Oort; Michiel Sedelaar; Jelle Barentsz
Journal:  BJU Int       Date:  2021-08-23       Impact factor: 5.969

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