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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Prostate Magnetic Resonance Imaging Using the Prostate Imaging for Recurrence Reporting (PI-RR) Scoring System to

Felipe A Mourato1, Luiza G Schmitt2, Miriana Mariussi3

  • 1Unidade de Diagnóstico por Imagem, Empresa Brasileira de Serviços Hospitalares, Hospital das Clínicas da Universidade Federal de Pernambuco, Recife, Brazil.

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Summary

The Prostate Imaging for Recurrence Reporting (PI-RR) system accurately detects local prostate cancer recurrence after treatment. A PI-RR score of 3 or higher demonstrates high sensitivity and specificity for identifying recurrence.

Keywords:
Magnetic resonance imagingProstate Imaging for Recurrence Reporting (PI-RR)Prostate cancerReporting system

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • The Prostate Imaging for Recurrence Reporting (PI-RR) system was developed to standardize multiparametric MRI interpretation for prostate cancer recurrence post-whole-gland treatment.
  • Single-center studies indicated promising results for the PI-RR system's diagnostic capabilities.

Purpose of the Study:

  • To systematically review and meta-analyze the diagnostic performance of the PI-RR system in detecting local recurrence of prostate cancer after whole-gland treatment.

Main Methods:

  • A systematic review and meta-analysis adhering to PRISMA guidelines for diagnostic test accuracy.
  • Searched relevant databases up to December 2023 for studies reporting MRI diagnostic performance using PI-RR for prostate cancer recurrence.
  • Pooled sensitivity and specificity were estimated using a random-effects model with PI-RR cutoffs of ≥3 and ≥4.

Main Results:

  • Six eligible studies involving 467 patients were included.
  • A PI-RR cutoff of ≥3 yielded a sensitivity of 77.8% and specificity of 80.2%.
  • A PI-RR cutoff of ≥4 resulted in a sensitivity of 61.9% and specificity of 86.6%.
  • Inter-rater agreement for PI-RR interpretation ranged from fair to excellent.

Conclusions:

  • The PI-RR system demonstrates accuracy in detecting local prostate cancer recurrence following whole-gland treatment.
  • The system exhibits fair-to-excellent inter-reader agreement.
  • A PI-RR cutoff of ≥3 is recommended for high sensitivity and specificity in recurrence detection.