Literature DB >> 29330001

In-bore 3.0-T Magnetic Resonance Imaging-guided Transrectal Targeted Prostate Biopsy in a Repeat Biopsy Population: Diagnostic Performance, Complications, and Learning Curve.

Alexander Friedl1, Jenifer Schneeweiss2, Sabina Sevcenco3, Klaus Eredics4, Thomas Kunit5, Martin Susani6, Danijel Kivaranovic7, Edith Eisenhuber-Stadler8, Lukas Lusuardi5, Clemens Brössner2, Wolfgang Schima8.   

Abstract

OBJECTIVE: To evaluate the diagnostic performance and complication rate of the in-bore magnetic resonance imaging-guided transrectal targeted prostate biopsy (MRGB) in a repeat biopsy population on the basis of a nearly 4-year learning curve (2014-2017).
MATERIALS AND METHODS: A total of 142 consecutive males with previous biopsies and persistent suspicion of prostate cancer (PCa) due to high prostate-specific antigen level initially underwent MRGB in the case of prostate imaging reporting and data system (PI-RADS) 3-5 lesions. Cancer detection rate (CDR), number and length of cores, biopsy time, operator experience, complications, and prediction of clinically significant (cs) PCa (Gleason score ≥7) were investigated.
RESULTS: PCa was found in 57% of patients. CDR in PI-RADS 3, 4, and 5 lesions were 46%, 52%, and 74%, respectively. csPCa was found in 9%, 25%, and 48% of patients. In univariate analysis the PI-RADS score (P = .0067) was a significant predictor of csPCa. In the multivariate logistic regression, age (P = .0007), number of previous biopsies (P = .0236), and prostate-specific antigen density (P = .0250) were significant predictors of csPCa. Location and size of the index lesion, number and length of cores obtained, and operator experience did not affect CDR. Concerning learning curve, biopsy time and number of cores obtained improved significantly after 10 procedures. Complications requiring medical intervention were seen in 6% (infections 2%).
CONCLUSION: In a re-biopsy setting the MRGB showed sufficient diagnostic performance in detecting csPCa in PI-RADS 3-5 lesions, with low complication rate. The skill of performing biopsy is quickly acquired, and location of index lesion did not have an impact on CDR.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29330001     DOI: 10.1016/j.urology.2017.12.032

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  3 in total

1.  Prostate Cancer Detection Rate of Manually Operated and Robot-assisted In-bore Magnetic Resonance Imaging Targeted Biopsy.

Authors:  Mads Sandahl; Kristian Juul Sandahl; Edvard Marinovskij; Tomas Frahm Nielsen; Karina Dalsgaard Sørensen; Michael Borre; Benedicte Parm Ulhøi; Bodil Ginnerup Pedersen
Journal:  Eur Urol Open Sci       Date:  2022-05-28

2.  Can machine learning-based analysis of multiparameter MRI and clinical parameters improve the performance of clinically significant prostate cancer diagnosis?

Authors:  Tao Peng; JianMing Xiao; Lin Li; BingJie Pu; XiangKe Niu; XiaoHui Zeng; ZongYong Wang; ChaoBang Gao; Ci Li; Lin Chen; Jin Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-10-22       Impact factor: 2.924

Review 3.  The use of prostate MR for targeting prostate biopsies.

Authors:  R Phelps Kelley; Ronald J Zagoria; Hao G Nguyen; Katsuto Shinohara; Antonio C Westphalen
Journal:  BJR Open       Date:  2019-06-19
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.