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Comparison of Morphological and Functional MRI Assessments of Periprostatic Fat for Predicting Prostate Cancer Aggressiveness

  • 0Departamento de Imagem, Oncologia e Hematologia - Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo - USP, Ribeirão Preto, SP, Brasil.
International Braz J Urol : Official Journal of the Brazilian Society of Urology +

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November 18, 2024

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November 18, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

The apparent diffusion coefficient (ADC) value of periprostatic fat can help predict prostate cancer (PCa) aggressiveness and patient survival. This MRI-derived measure may aid in risk stratification for better therapeutic decisions.

Area Of Science

  • Radiology
  • Oncology
  • Medical Imaging

Background

  • Prostate cancer (PCa) management relies on accurate staging and risk stratification.
  • Predicting PCa aggressiveness and long-term outcomes remains a clinical challenge.
  • Novel imaging biomarkers are needed to improve PCa risk assessment.

Purpose Of The Study

  • To assess if morphological and functional MRI characteristics of periprostatic fat can predict PCa aggressiveness.
  • To evaluate the association of periprostatic fat assessments with biochemical recurrence, systemic metastasis, and PCa-related mortality over a 5-year follow-up.
  • To determine the predictive value of ADC values in periprostatic fat for PCa outcomes.

Main Methods

  • Retrospective analysis of 109 patients with histologically confirmed PCa who underwent 3.0T MRI.
  • Collection of clinical data including PSA, PSA density (dPSA), ISUP grade, and staging.
  • Measurement of periprostatic fat thickness and calculation of ADC values from MRI scans.

Main Results

  • PSA density (dPSA), systemic disease at diagnosis, and mean ADC were independent predictors of overall survival (OS).
  • dPSA and systemic disease at diagnosis predicted progression-free survival (PFS).
  • dPSA, systemic disease at diagnosis, and average ADC were significant predictors of systemic recurrence risk.

Conclusions

  • The apparent diffusion coefficient (ADC) value of periprostatic fat shows potential as an additional tool for PCa risk stratification.
  • ADC values correlate with poorer outcomes, including systemic recurrence and reduced overall survival.
  • Further validation in prospective, multicenter studies is warranted to impact therapeutic decisions.

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