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Evaluation of Adrenal Metastases in Prostate Cancer Patients with [68GA]GA-PSMA PET/CT Imaging

  • 0Department of Nuclear Medicine, School of Medicine, Gaziantep University, 27410 Gaziantep, Turkey.
Current Oncology +

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March 26, 2025

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March 26, 2025

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View abstract on PubMed

Summary

This summary is machine-generated.

Gallium-68 PSMA PET/CT effectively distinguishes prostate cancer adrenal metastases from benign adenomas. Combining PSA levels, SUVmax, and HU values improves diagnostic accuracy and patient management.

Area Of Science

  • Nuclear Medicine
  • Radiology
  • Oncology

Background

  • Adrenal lesions are common in prostate cancer patients.
  • Differentiating metastases from benign adenomas is crucial for treatment planning.
  • Gallium-68 PSMA PET/CT ( [68Ga]Ga-PSMA PET/CT) shows promise in detecting prostate cancer recurrence.

Purpose Of The Study

  • To evaluate the imaging and clinical features of adrenal metastases in prostate cancer patients using [68Ga]Ga-PSMA PET/CT.
  • To assess the diagnostic accuracy of [68Ga]Ga-PSMA PET/CT in differentiating adrenal metastases from benign adenomas.
  • To explore the prognostic implications of adrenal lesions detected by [68Ga]Ga-PSMA PET/CT.

Main Methods

  • Retrospective analysis of 44 prostate cancer patients with adrenal lesions.
  • Categorization into benign adenomas (n=16) and adrenal metastases (n=28).
  • Analysis of [68Ga]Ga-PSMA PET/CT imaging parameters (SUVmax, HU), clinical data (PSA, Gleason score), and outcomes. ROC analysis was performed.

Main Results

  • Adrenal metastases showed significantly higher PSA levels, Gleason scores, SUVmax, and HU values compared to benign adenomas (p<0.01).
  • SUVmax (AUC: 0.87), PSA (AUC: 0.85), and HU (AUC: 0.80) demonstrated high diagnostic accuracy.
  • Metastatic lesions were associated with higher disease progression rates and shorter overall survival.

Conclusions

  • [68Ga]Ga-PSMA PET/CT is valuable for differentiating adrenal metastases from benign adenomas in prostate cancer.
  • Integrating PSA, SUVmax, and HU values enhances diagnostic precision and clinical decision-making.
  • Prospective validation and AI-based approaches are recommended for future research.

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