Literature DB >> 25641460

Repeated biopsy in the detection of prostate cancer: when and how many cores.

Vincenzo Scattoni1, Andrea Russo, Ettore Di Trapani, Umberto Capitanio, Giovanni La Croce, Francesco Montorsi.   

Abstract

PURPOSE: We performed an analysis of the literature about the optimal prostate biopsy (PBX) scheme in the repeated setting
METHODS: We performed a clinical and critical literature review by searching Medline Database from January 2005 up to January 2014. Electronic searches were limited to the English language. The keywords were: prostate cancer, prostate biopsy, transrectal ultrasound, transperineal prostate biopsy.
RESULTS: The recommended approach in repeated setting is still the extended scheme (EPBx) (12 cores). An approach with more than 12 cores according to the clinical characteristics of the patients may optimize cancer detection. Saturation PBx (> 20 cores) clearly improves cancer detection if clinical suspicion persists after previous negative biopsy. Nevertheless international guidelines do not strongly recommended SPBx in all situations of repeated setting. EPBx or SPBX may be, in the future, substituted by multiparametric MRI-targeted biopsies.
CONCLUSIONS: Since the scenario in which a PBx is changing, the issue about the number and location of the cores in PBx is still a matter of debate in repeated setting. At present, EPBx are still the gold standard even if SPBx seems to be necessary in many cases. However, random PBx does not represent the approach of the future, but rather imaging targeted biopsy.

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Year:  2014        PMID: 25641460     DOI: 10.4081/aiua.2014.4.311

Source DB:  PubMed          Journal:  Arch Ital Urol Androl        ISSN: 1124-3562


  2 in total

1.  A Pilot Study of 18F-DCFPyL PET/CT or PET/MRI and Ultrasound Fusion Targeted Prostate Biopsy for Intra-Prostatic PET-Positive Lesions.

Authors:  Yachao Liu; Hongkai Yu; Jiajin Liu; Xiaojun Zhang; Mu Lin; Holger Schmidt; Jiangping Gao; Baixuan Xu
Journal:  Front Oncol       Date:  2021-03-05       Impact factor: 6.244

2.  Texture Feature-Based Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection.

Authors:  Xiaofu Huang; Ming Chen; Peizhong Liu; Yongzhao Du
Journal:  Comput Math Methods Med       Date:  2020-10-06       Impact factor: 2.238

  2 in total

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