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The prostate cancer prevention trial risk calculator 2.0 performs equally for standard biopsy and MRI/US fusion-guided biopsy

  • M. Maruf
  • , M. Fascelli
  • , A. K. George
  • , M. M. Siddiqui
  • , M. Kongnyuy
  • , J. M. DiBianco
  • , A. Muthigi
  • , S. Valayil
  • , A. Sidana
  • , T. P. Frye
  • , A. Kilchevsky
  • , P. L. Choyke
  • , B. Turkbey
  • , B. J. Wood
  • , P. A. Pinto

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: The Prostate Cancer Prevention Trial Risk Calculator 2.0 (PCPTRC) is a widely used risk-based calculator used to assess a man's risk of prostate cancer (PCa) before biopsy. This risk calculator was created from data of a patient cohort undergoing a 6-core sextant biopsy, and subsequently validated in men undergoing 12-core systematic biopsy (SBx). The accuracy of the PCPTRC has not been studied in patients undergoing magnetic resonance imaging/ultrasound (MRI/US) fusion-guided biopsy (FBx). We sought to assess the performance of the PCPTRC for straitifying PCa risk in a FBx cohort. METHODS: A review of a prospective cohort undergoing MRI and FBx/SBx was conducted. Data from consecutive FBx/SBx were collected between August 2007 and February 2014, and PCPTRC scores using the PCPTRC2.0R-code were calculated. The risk of positive biopsy and high-grade cancer (Gleason > 7) on biopsy was calculated and compared with overall and high-grade cancer detection rates (CDRs). Receiver operating characteristic curves were generated and the areas under the curves (AUCs) were compared using DeLong's test. RESULTS: Of 595 men included in the study, PCa was detected in 39% (232) by SBx compared with 48% (287) on combined FBx/ SBx biopsy. The PCPTRC AUCs for the CDR were similar (P = 0.70) for SBx (0.69) and combined biopsy (0.70). For high-grade disease, AUCs for SBx (0.71) and combined biopsy (0.70) were slightly higher, but were not statistically different (P = 0.55). CONCLUSIONS: In an MRI-screened population of men undergoing FBx, PCPTRC continues to represent a practical method of accurately stratifying PCa risk.

Original languageEnglish (US)
Pages (from-to)179-185
Number of pages7
JournalProstate Cancer and Prostatic Diseases
Volume20
Issue number2
DOIs
StatePublished - Jun 1 2017
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Urology
  • Cancer Research

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