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Published on: October 4, 2024
An Innovative Approach with [68Ga]Ga-PSMA PET/CT: The Relationship Between PRIMARY Scores and Clinical and
Gozde Mutevelizade1, Bilal Cagri Bozdemir1, Nazim Aydin2
1Department of Nuclear Medicine, School of Medicine, Manisa Celal Bayar University, 45030 Manisa, Turkey.
The PRIMARY score on [68Ga]Ga-PSMA PET/CT effectively stratifies prostate cancer aggressiveness and shows excellent reproducibility. However, it may not reliably identify all high-grade disease, especially in Score 2 cases.
Area of Science:
- Nuclear Medicine
- Oncology
- Radiology
Background:
- Prostate cancer aggressiveness varies significantly, impacting treatment decisions.
- Accurate staging and risk stratification are crucial for optimal patient management.
- The PRIMARY score from [68Ga]Ga-PSMA PET/CT is a novel imaging biomarker for prostate cancer.
Purpose of the Study:
- To investigate the correlation between the PRIMARY score and prostate cancer aggressiveness parameters.
- To assess the interobserver agreement of the PRIMARY score in clinical practice.
- To evaluate the utility of the PRIMARY score in routine prostate cancer staging.
Main Methods:
- Retrospective analysis of 51 patients with biopsy-proven prostate cancer undergoing [68Ga]Ga-PSMA PET/CT.
- PRIMARY scores assigned based on intraprostatic uptake, intensity, and localization.
- Comparison of PRIMARY scores with PSA levels, ISUP Grade Group, D'Amico risk, and histopathological features.
Main Results:
- Significant associations found between PRIMARY scores and PSA, ISUP Grade Group, and D'Amico risk.
- PRIMARY 5 was linked to ISUP GG 5 and high-risk D'Amico classification.
- Excellent interobserver agreement (κ = 0.833) for the PRIMARY score was observed.
Conclusions:
- The PRIMARY score is reproducible and clinically relevant for stratifying prostate cancer aggressiveness.
- Binary classification limitations exist, particularly for PRIMARY Score 2, which may indicate high-grade disease.
- Integrating imaging scores with clinical and pathological data is vital for accurate staging and treatment decisions.
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