Diagnostics (Apr 2022)

Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy

  • Eoin Dinneen,
  • Clare Allen,
  • Tom Strange,
  • Daniel Heffernan-Ho,
  • Jelena Banjeglav,
  • Jamie Lindsay,
  • John-Patrick Mulligan,
  • Tim Briggs,
  • Senthil Nathan,
  • Ashwin Sridhar,
  • Jack Grierson,
  • Aiman Haider,
  • Christos Panayi,
  • Dominic Patel,
  • Alex Freeman,
  • Jonathan Aning,
  • Raj Persad,
  • Imran Ahmad,
  • Lorenzo Dutto,
  • Neil Oakley,
  • Alessandro Ambrosi,
  • Tom Parry,
  • Veeru Kasivisvanathan,
  • Francesco Giganti,
  • Greg Shaw,
  • Shonit Punwani

DOI
https://doi.org/10.3390/diagnostics12051057
Journal volume & issue
Vol. 12, no. 5
p. 1057

Abstract

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Background: The accuracy of multi-parametric MRI (mpMRI) in the pre-operative staging of prostate cancer (PCa) remains controversial. Objective: The purpose of this study was to evaluate the ability of mpMRI to accurately predict PCa extra-prostatic extension (EPE) on a side-specific basis using a risk-stratified 5-point Likert scale. This study also aimed to assess the influence of mpMRI scan quality on diagnostic accuracy. Patients and Methods: We included 124 men who underwent robot-assisted RP (RARP) as part of the NeuroSAFE PROOF study at our centre. Three radiologists retrospectively reviewed mpMRI blinded to RP pathology and assigned a Likert score (1–5) for EPE on each side of the prostate. Each scan was also ascribed a Prostate Imaging Quality (PI-QUAL) score for assessing the quality of the mpMRI scan, where 1 represents the poorest and 5 represents the best diagnostic quality. Outcome measurements and statistical analyses: Diagnostic performance is presented for the binary classification of EPE, including 95% confidence intervals and the area under the receiver operating characteristic curve (AUC). Results: A total of 231 lobes from 121 men (mean age 56.9 years) were evaluated. Of these, 39 men (32.2%), or 43 lobes (18.6%), had EPE. A Likert score ≥3 had a sensitivity (SE), specificity (SP), NPV, and PPV of 90.4%, 52.3%, 96%, and 29.9%, respectively, and the AUC was 0.82 (95% CI: 0.77–0.86). The AUC was 0.76 (95% CI: 0.64–0.88), 0.78 (0.72–0.84), and 0.92 (0.88–0.96) for biparametric scans, PI-QUAL 1–3, and PI-QUAL 4–5 scans, respectively. Conclusions: MRI can be used effectively by genitourinary radiologists to rule out EPE and help inform surgical planning for men undergoing RARP. EPE prediction was more reliable when the MRI scan was (a) multi-parametric and (b) of a higher image quality according to the PI-QUAL scoring system.

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