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Relationship between tumor parameters in Ga-68 PSMA PET/CT and pathological grade grouping in patients with prostate cancer
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F. Demir   , S. Karaçavuş , H. Gençer , A. Özdal , Z. Erdoğan , İ. Çiftçi , F. Çevik Kaya , N. Özhan , H. İşçi , M. Kaya |
| Department of Nuclear Medicine, Kayseri Training and Research Hospital, Kayseri, Turkey , drfadimedemir@hotmail.com |
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Abstract: (99 Views) |
Background: The study aims to explore the relationship between tumor parameters acquired from Ga-68 PSMA PET/CT and GG system in patients who had prostate cancer. Materials and Methods: One hundred and fourteen patients diagnosed with prostate cancer and who underwent Ga-68 PSMA PET/CT imaging for staging purposes were enrolled. The imaging was performed using a Siemens Biograph Horizon-3R 16 slice PET/CT device, and the tumor parameters (SUVmax, SUVmean, and Tumor volume) were calculated by an experienced nuclear medicine physician. Results: There was a correlation between GG with SUVmax (p:0.010; r:0.241) and SUVmean (p:0.06; r:0.258). In redicting high-risk patients, ROC analysis was conducted for SUVmax and SUVmean, resulting in significant cut-off values for both parameters. A cut-off value of 9.8 for SUVmax resulted in a sensitivity of 69% and a specificity of 58%. 5.8 cut-off value for SUVmean resulted in 68% sensitivity and 58% specificity. Tumor volume was found to be a significant predictor for distant metastasis. When a cut-off value of 11.53 cm3 was used for tumor volume, sensitivity was found to be 62% and specificity 56%. Conclusion: According to the results, correlation between GG with SUVmax and SUVmax was significant. Additionally, SUVmax and SUVmean were significant predictors of high-risk prostate cancer, while TV was a significant predictor of distant metastases. In summary, Ga-68-PSMA PET CT are deemed a beneficial imaging modality for both prognosis assessment and staging in clinical. |
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| Keywords: Ga-68 PSMA PET/CT, prostate cancer, pathological grade grouping. |
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Full-Text [PDF 667 kb]
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Type of Study: Original Research |
Subject:
Radiation Biology
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