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Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
OBJECTIVES: PSMA PET/MRI showed the potential to increase the sensitivity for extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability for EPD is still high. Therefore, we aimed to assess whether quantitative PSMA and mpMRI imaging parameters could yield a more robust...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012878/ https://www.ncbi.nlm.nih.gov/pubmed/35426518 http://dx.doi.org/10.1186/s13244-022-01217-4 |
Sumario: | OBJECTIVES: PSMA PET/MRI showed the potential to increase the sensitivity for extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability for EPD is still high. Therefore, we aimed to assess whether quantitative PSMA and mpMRI imaging parameters could yield a more robust EPD prediction. METHODS: We retrospectively evaluated PCa patients who underwent staging mpMRI and [(68)Ga]PSMA-PET, followed by radical prostatectomy at our institution between 01.02.2016 and 31.07.2019. Fifty-eight cases with PET/MRI and 15 cases with PET/CT were identified. EPD was determined on histopathology and correlated with quantitative PSMA and mpMRI parameters assessed by two readers: ADC (mm(2)/1000 s), longest capsular contact (LCC, mm), tumor volume (cm(3)), PSMA-SUV(max) and volume-based parameters using a fixed threshold at SUV > 4 to delineate PSMA(total) (g/ml) and PSMA(vol) (cm(3)). The t test was used to compare means, Pearson’s test for categorical correlation, and ROC curve to determine the best cutoff. Interclass correlation (ICC) was performed for interreader agreement (95% CI). RESULTS: Seventy-three patients were included (64.5 ± 6.0 years; PSA 14.4 ± 17.1 ng/ml), and 31 had EPD (42.5%). From mpMRI, only LCC reached significance (p = 0.005), while both volume-based PET parameters PSMA(total) and PSMA(vol) were significantly associated with EPD (p = 0.008 and p = 0.004, respectively). On ROC analysis, LCC, PSMA(total), and PSMA(vol) reached an AUC of 0.712 (p = 0.002), 0.709 (p = 0.002), and 0.718 (p = 0.002), respectively. ICC was moderate–good for LCC 0.727 (0.565–0.828) and excellent for PSMA(total) and PSMA(vol) with 0.944 (0.990–0.996) and 0.985 (0.976–0.991), respectively. CONCLUSIONS: Quantitative PSMA parameters have a similar potential as mpMRI LCC to predict EPD of PCa, with a significantly higher interreader agreement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-022-01217-4. |
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