El papel del antígeno prostático específico (PSA) y el estadio patológico antes de la radioterapia en la predicción de los resultados de la resonancia magnética multiparamétrica (RMmp) en pacientes con recidiva del cancer de próstata tras prostatectomía radical / Role of PSA levels and pathological stadiation before radiation therapy in predicting mp-MRI results in patients with prostate cancer recurrence after radical prostatectomy

Objetivo Evaluar el valor del antígeno prostático específico (PSA) en la predicción de los resultados de la resonancia magnética multiparamétrica (RMmp) en pacientes con cáncer de próstata (CaP) de alto (puntuación de Gleason≥8, pT≥3, pN1) y bajo grado (puntuación de Gleason<8, pT<3, pN0). Materiales y métodos Ciento ochenta y ocho pacientes se sometieron a una RMmp de 1,5-T después de la prostatectomía radical y antes de la radioterapia. Los pacientes se dividieron en 2 grupos: el grupo A incluía pacientes con recidiva bioquímica (RB) y el grupo B pacientes sin RB pero con alto riesgo de recidiva local. Teniendo en cuenta la puntuación de Gleason, pT y pN como variables de agrupación independientes, se realizaron análisis ROC de los niveles de PSA en el momento del diagnóstico del CaP primario y antes de la radioterapia con el fin de identificar el punto de corte óptimo para predecir el resultado de la RMmp. Resultados En los grupos A y B, el área bajo la curva del PSA antes de la radioterapia fue superior a la del PSA en el momento del diagnóstico del CaP, en tumores de bajo y alto grado. Para los tumores de bajo grado, la mejor área bajo la curva fue de 0,646 y 0,685 en el grupo A y B, respectivamente; para los tumores de alto grado, la mejor área bajo la curva fue de 0,705 y 1 en el grupo A y B, respectivamente. Para los tumores de bajo grado, el punto de corte óptimo del PSA fue de 0,565-0,58ng/ml en el grupo A (sensibilidad y especificidad: 70,5% y 66%), y de 0,11-0,13ng/ml en el B (sensibilidad y especificidad: 62,5% y 84,6%). Para los tumores de alto grado, el punto de corte de PSA óptimo fue de 0,265-0,305ng/ml en el grupo A (sensibilidad y especificidad: 95% y 42,1%), y de 0,13-0,15ng/ml en el grupo B (sensibilidad y especificidad: 100%). Conclusión La RMmp se debe realizar como herramienta diagnóstica complementaria siempre que se detecte una RB, especialmente en el CaP de alto grado... (AU)

Objective To evaluate prostate-specific antigen (PSA) value in multiparametric magnetic resonance imagin (mp-MRI) results prediction, analyzing patients with high (Gleason Score ≥8, pT≥3, pN1) and low grade (Gleason Score <8, pT<3, pN0) prostate cancer (PCa). Materials and methods One hundred eighty-eight patients underwent 1.5-T mp-MRI after radical prostatectomy and before radiotherapy. They were divided into 2 groups: A and B, for patients with biochemical recurrence (BCR) and without BCR but with high local recurrence risk. Considering Gleason Score, pT and pN as independent grouping variables, ROC analyses of PSA levels at primary PCa diagnosis and PSA before radiotherapy were performed in order to identify the optimal cut-off to predict mp-MRI result. Results Group A and B showed higher area under the curve for PSA before radiotherapy than PSA at PCa diagnosis, in low and high grade tumors. For low grade tumors the best area under the curve was 0.646 and 0.685 in group A and B; for high grade the best area under the curve was 0.705 and 1 in group A and B, respectively. For low grade tumors the best PSA cut-off was 0.565-0.58ng/ml in group A (sensitivity, specificity: 70.5%, 66%), and 0.11-0.13ng/ml in B (sensitivity, specificity: 62.5%, 84.6%). For high grade tumors, the best PSA cut-off obtained was 0.265-0.305ng/ml in group A (sensitivity, specificity: 95%, 42.1%), and 0.13-0.15ng/ml in B (sensitivity, specificity: 100%). Conclusion Mp-MRI should be performed as added diagnostic tool always when a BCR is detected, especially in high grade PCa. In patients without BCR, mp-MRI results, although poorly related to pathological stadiation, still have a good diagnostic performance, mostly when PSA>0.1-0.15ng/ml. (AU)

Using multiparametric Magnetic Resonance Imaging and Prostate Specific Membrane Antigen Positron Emission Tomography to detect and delineate the gross tumour volume of intraprostatic lesions - A systematic review and meta-analysis.

BACKGROUND AND PURPOSE: Radiation therapy is used frequently for patients with prostate cancer. Dose escalation to intraprostatic lesions (IPLs) has been shown to improve oncologic outcomes, without increasing toxicity. Both multiparametric MRI (mpMRI) and PSMA PET can be used to identify IPLs. MATERIALS AND METHODS: A systematic review was conducted to determine the ability of mpMRI, PSMA PET and their combination to detect IPLs prior to radical prostatectomy (RP) as correlated with the histology. Trials included patients that had mpMRI, PSMA PET, or both, prior to RP. The quality of the histopathological-radiological co-registration was assessed as high or low for each study. Recorded outcomes include sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC). A meta-analysis was conducted using a bivariate model to determine the pooled sensitivity and specificity for each imaging modality. This systematic review was registered through PROSPERO (CRD42023389092). RESULTS: Altogether, 42 studies were included in the systematic review. Of these, 20 could be included in the meta-analysis. The pooled sensitivity (95 % CI), specificity (95 % CI) and AUROC for mpMRI (n = 13 studies) were 64.7 % (50.2 % - 76.9 %), 86.4 % (79.7 % - 91.1 %), and 0.852; the pooled outcomes for PSMA PET (n = 12) were 75.7 % (64.0 % - 84.5 %), 87.1 % (80.2 % - 91.9 %), and 0.889; for their combination (n = 5), the pooled outcomes were 70.3 % (64.1 % - 75.9 %), 81.9 % (71.9 % - 88.8 %), and 0.796. When reviewing studies with a high-quality histopathological-radiological co-registration, IPL delineation recommendations varied by study and the imaging modality used. CONCLUSION: All of mpMRI, PSMA PET or their combination were found to have very good diagnostic outcomes for detecting IPLs. Recommendations for delineating IPLs varied based on the imaging modalities used and between research groups. Consensus guidelines for IPL delineation would help with creating consistency for focal boost radiation treatments in future studies.

Role of psa levels and pathological stadiation before radiation therapy in predicting mp-MRI results in patients with prostate cancer recurrence after radical prostatectomy.

OBJECTIVE: To evaluate PSA value in mp-MRI results prediction, analyzing patients with high (GS≥8, pT≥3, pN1) and low grade (GS<8, pT<3, pN0) Prostate Cancer (PCa). MATERIALS AND METHODS: One hundred eighty-eight patients underwent 1.5-Tmp-MRI after Radical Prostatectomy (RP) and before Radiotherapy (RT). They were divided into 2 groups: A and B, for patients with biochemical recurrence (BCR) and without BCR but with high local recurrence risk. Considering Gleason Score (GS), pT and pN as independent grouping variables, ROC analyses of PSA levels at primary PCa diagnosis and PSA before RT were performed in order to identify the optimal cut-off to predict mp-MRI result. RESULTS: Group A and B showed higher AUC for PSA before RT than PSA at PCa diagnosis, in low and high grade tumors. For low grade tumors the best AUC was 0.646 and 0.685 in group A and B; for high grade the best AUC was 0.705 and 1 in group A and B, respectively. For low grade tumors the best PSA cut-off was 0.565-0.58ng/mL in group A (sensitivity, specificity: 70.5%, 66%), and 0.11-0.13ng/mL in B (sensitivity, specificity: 62.5%, 84.6%). For high grade tumors, the best PSA cut-off obtained was 0.265-0.305ng/mL in group A (sensitivity, specificity: 95%, 42.1%), and 0.13-0.15ng/mL in B (sensitivity, specificity: 100%). CONCLUSION: Mp-MRI should be performed as added diagnostic tool always when a BCR is detected, especially in high grade PCa. In patients without BCR, mp-MRI results, although poorly related to pathological stadiation, still have a good diagnostic performance, mostly when PSA>0.1-0.15ng/mL.