Literature DB >> 30038389

Which scores need a core? An evaluation of MR-targeted biopsy yield by PIRADS score across different biopsy indications.

Niranjan J Sathianathen1, Badrinath R Konety2, Ayman Soubra2, Gregory J Metzger3, Benjamin Spilseth3, Paari Murugan4, Christopher J Weight2, Maria A Ordonez2, Christopher A Warlick2.   

Abstract

INTRODUCTION: Magnetic resonance imaging is being widely adopted in the clinical management of prostate cancer. The correlation of the Prostate Imaging Reporting and Data System (PIRADS) to the presence of cancer has been established but studies have primarily evaluated this in a single clinical setting. This study aims to characterize the correlation of PIRADS score to the diagnosis of cancer on fusion biopsy among men who are undergoing primary biopsy, those who have had a previous negative biopsy or men on active surveillance. MATERIALS &
METHODS: A consecutive sample of men undergoing US-MR biopsy at a single academic institution from 2014 to 2017 were included in this retrospective study. Men were stratified into groups according to their clinical history: biopsy-naïve, previous negative transrectal ultrasound (TRUS) biopsy or on active surveillance. The correlation of PIRADS score to the diagnosis of any and clinically significant cancer (Gleason score ≥ 3 + 4) was determined.
RESULTS: A total of 255 patients with 365 discrete lesions were analyzed. PIRADS score 1-2, 3, 4 and 5 yielded any prostate cancer in 7.7, 29.7, 42.3 and 82.4% of the cases, respectively, across all indications while clinically significant cancer was found in 0, 8.9, 21.4 and 62.7%, respectively. The area under the receiver operative curves for the diagnosis of any and significant cancer was 0.69 (95%CI: 0.64-0.74) and 0.74 (95%CI: 0.69-0.79) respectively. Men who have had a previous negative biopsy had lower detection rates for any prostate cancer for PIRADS 3 and 4 lesions compared to those that were biopsy-naïve or on active surveillance.
CONCLUSION: Cancer detection rates are significantly associated with PIRADS score. Biopsy yields differ across biopsy indications which should be considered when selecting a PIRADS score threshold for biopsy. Biopsy of PIRADS 3 lesions could potentially be avoided in men who have previously undergone a negative TRUS biopsy.

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Mesh:

Year:  2018        PMID: 30038389     DOI: 10.1038/s41391-018-0065-6

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  7 in total

1.  Diagnostic value of combining PI-RADS v2.1 with PSAD in clinically significant prostate cancer.

Authors:  Xiaoting Wei; Jianmin Xu; Shuyuan Zhong; Jinsen Zou; Zhiqiang Cheng; Zhiguang Ding; Xuhui Zhou
Journal:  Abdom Radiol (NY)       Date:  2022-07-05

2.  The value of magnetic resonance imaging-ultrasound fusion targeted biopsies for clinical decision-making among patients with previously negative transrectal ultrasound biopsy and persistent prostate-specific antigen elevation.

Authors:  Charlie J Gillis; Thomas M Southall; Robert Wilson; Michelle Anderson; Jennifer Young; Richard Hewitt; Matthew Andrews
Journal:  Can Urol Assoc J       Date:  2022-06       Impact factor: 2.052

3.  Performance of prostate health index and PSA density in a diverse biopsy-naïve cohort with mpMRI for detecting significant prostate cancer.

Authors:  Samuel Carbunaru; James Stinson; Rilwan Babajide; Courtney M P Hollowell; Ximing Yang; Marin Sekosan; Karen Ferrer; Andre Kajdacsy-Balla; Josephine Abelleira; Maria Ruden; Patrice King-Lee; Daniel P Dalton; David D Casalino; Rick A Kittles; Peter H Gann; Edward M Schaeffer; Adam B Murphy
Journal:  BJUI Compass       Date:  2021-06-15

4.  The Value of Low Prostate Imaging-Reporting and Data System (PI-RADS) Scores in Preventing Unnecessary Prostate Biopsies.

Authors:  Dong-Soo Kim; Sung-Kyoung Moon; Joo-Won Lim; Seung-Hyun Jeon; Sang-Hyub Lee
Journal:  Medicina (Kaunas)       Date:  2021-04-24       Impact factor: 2.430

Review 5.  Transrectal Ultrasound in Prostate Cancer: Current Utilization, Integration with mpMRI, HIFU and Other Emerging Applications.

Authors:  John Panzone; Timothy Byler; Gennady Bratslavsky; Hanan Goldberg
Journal:  Cancer Manag Res       Date:  2022-03-22       Impact factor: 3.989

6.  Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI.

Authors:  Haoxin Zheng; Qi Miao; Yongkai Liu; Steven S Raman; Fabien Scalzo; Kyunghyun Sung
Journal:  J Magn Reson Imaging       Date:  2021-06-23       Impact factor: 4.813

7.  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

  7 in total

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