Does HistoScanning™ predict positive results in prostate biopsy? A retrospective analysis of 1,188 sextants of the prostate - Abstract

PURPOSE: The role of HistoScanning™ (HS) in prostate biopsy is still indeterminate.

Existing literature is sparse and controversial. To provide more evidence according to that important clinical topic, we analyzed institutional data from the Martini-Clinic, Prostate Cancer Center, Hamburg.

METHODS: Patients who received prostate biopsy and who also received HS were included in the study cohort. A single examiner, blinded to pathological results, re-analyzed all HS data in accordance with sextants of the prostate. Each sextant was considered as an individual case. Corresponding results from biopsy and HS were analyzed. The area under the receiver-operating characteristic curve (AUC) for the prediction of a positive biopsy by HS was calculated. Furthermore, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were assessed according to different HS signal volume cutoffs (>0, >0.2 and >0.5 ml).

RESULTS: Overall, 198 men were identified and 1,188 sextants were analyzed. The AUC to predict positive biopsy results by HS was 0.58. Sensitivity, specificity, PPV and NPV for HS to predict positive biopsy results per sextant, depending on different HS signal volume cutoffs (>0, >0.2 and >0.5 ml) were 84.1, 27.7, 29.5 and 82.9 %, 60.9, 50.6, 28.8 and 79.7 %, and 40.1, 73.3, 33.1 and 78.8 %, respectively.

CONCLUSIONS: Positive HS signals do not accurately predict positive prostate biopsy results according to sextant analysis. We cannot recommend a variation of well-established random biopsy patterns or reduction of biopsy cores in accordance with HS signals at the moment.

Written by:
Schiffmann J, Tennstedt P, Fischer J, Tian Z, Beyer B, Boehm K, Sun M, Gandaglia G, Michl U, Graefen M, Salomon G.   Are you the author?
Martini-Clinic, Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.  

Reference: World J Urol. 2014 May 29. Epub ahead of print.
doi: 10.1007/s00345-014-1330-5


PubMed Abstract
PMID: 24871425

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