BACKGROUND: Positron Emission Tomography-Computed Tomography using Prostate-Specific Membrane Antigen (PSMA PET/CT) is notable for its superior sensitivity and specificity in detecting recurrent PCa and is under investigation for its potential in pre-treatment staging. Despite its established efficacy in nodal and metastasis staging in trial setting, its role in primary staging awaits fuller validation due to limited evidence on oncologic outcomes. This systematic review and meta-analysis aims to appraise the diagnostic accuracy of PSMA PET/CT compared to CI for comprehensive PCa staging. METHODS: Medline, Scopus and Web of science databases were searched till March 2023. Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines were followed to identify eligible studies. Primary outcomes were specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of PSMA PET/CT for local, nodal and metastatic staging in PCa patients. Due to the unavailability of data, a meta-analysis was feasible only for detection of seminal vesicles invasion (SVI) and LNI. RESULTS: A total of 49 studies, comprising 3876 patients, were included. Of these, 6 investigated accuracy of PSMA PET/CT in detection of SVI. Pooled sensitivity, specificity, PPV and NPV were 42.29% (95%CI: 29.85-55.78%), 87.59% (95%CI: 77.10%-93.67%), 93.39% (95%CI: 74.95%-98.52%) and 86.60% (95%CI: 58.83%-96.69%), respectively. Heterogeneity analysis revealed significant variability for PPV and NPV. 18 studies investigated PSMA PET/CT accuracy in detection of LNI. Aggregate sensitivity, specificity, PPV and NPV were 43.63% (95%CI: 34.19-53.56%), 85.55% (95%CI: 75.95%-91.74%), 67.47% (95%CI: 52.42%-79.6%) and 83.61% (95%CI: 79.19%-87.24%). No significant heterogeneity was found between studies. CONCLUSIONS: The present systematic review and meta-analysis highlights PSMA PET-CT effectiveness in detecting SVI and its good accuracy in LNI compared to CI. Nonetheless, it also reveals a lack of high-quality research on its performance in clinical T staging, extraprostatic extension and distant metastasis evaluation, emphasizing the need for further rigorous studies.

• MeSH
• antigeny povrchové MeSH
• glutamátkarboxypeptidasa II * metabolismus   MeSH
• lidé MeSH
• nádory prostaty * patologie   diagnostické zobrazování   MeSH
• PET/CT * metody   MeSH
• senzitivita a specificita MeSH
• staging nádorů * MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH
• přehledy MeSH
• systematický přehled MeSH

Limited evidence exists about preserving neurovascular bundles during radical prostatectomy (RP) for high-risk prostate cancer (HRPCa) patients. Hence, we validated an existing algorithm predicting contralateral extraprostatic extension (cEPE) risk in unilateral high-risk cases. This algorithm aims to assist in determining the suitability of unilateral nerve-sparing RP. Among 264 patients, 48 (18%) had cEPE. The risk of cECE varied: 8%, 17.2%, and 30.8% for the low, intermediate, and high-risk groups, respectively. Despite a higher risk of cECE among individuals classified as low-risk in the development group compared to the validation group, our algorithm's superiority over always/never nerve-sparing RP was reaffirmed by decision curve analysis. Therefore, we conclude that bilateral excision may not always be justified in men with unilateral HRPCa. Instead, decisions can be based on our suggested nomogram.

• MeSH
• algoritmy * MeSH
• hodnocení rizik metody   MeSH
• léčba šetřící orgány * metody   MeSH
• lidé středního věku MeSH
• lidé MeSH
• nádory prostaty * chirurgie   patologie   MeSH
• nomogramy MeSH
• prostata chirurgie   inervace   patologie   MeSH
• prostatektomie * metody   MeSH
• roboticky asistované výkony * metody   MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH
• validační studie MeSH

OBJECTIVES: Radical prostatectomy (RP) is a common intervention in patients with localized prostate cancer (PCa), with nerve-sparing RP recommended to reduce adverse effects on patient quality of life. Accurate pre-operative detection of extraprostatic extension (EPE) remains challenging, often leading to the application of suboptimal treatment. The aim of this study was to enhance pre-operative EPE detection through multimodal data integration using explainable machine learning (ML). METHODS: Patients with newly diagnosed PCa who underwent [68Ga]Ga-PSMA-11 PET/MRI and subsequent RP were recruited retrospectively from two time ranges for training, cross-validation, and independent validation. The presence of EPE was measured from post-surgical histopathology and predicted using ML and pre-operative parameters, including PET/MRI-derived features, blood-based markers, histology-derived parameters, and demographic parameters. ML models were subsequently compared with conventional PET/MRI-based image readings. RESULTS: The study involved 107 patients, 59 (55%) of whom were affected by EPE according to postoperative findings for the initial training and cross-validation. The ML models demonstrated superior diagnostic performance over conventional PET/MRI image readings, with the explainable boosting machine model achieving an AUC of 0.88 (95% CI 0.87-0.89) during cross-validation and an AUC of 0.88 (95% CI 0.75-0.97) during independent validation. The ML approach integrating invasive features demonstrated better predictive capabilities for EPE compared to visual clinical read-outs (Cross-validation AUC 0.88 versus 0.71, p = 0.02). CONCLUSION: ML based on routinely acquired clinical data can significantly improve the pre-operative detection of EPE in PCa patients, potentially enabling more accurate clinical staging and decision-making, thereby improving patient outcomes. CRITICAL RELEVANCE STATEMENT: This study demonstrates that integrating multimodal data with machine learning significantly improves the pre-operative detection of extraprostatic extension in prostate cancer patients, outperforming conventional imaging methods and potentially leading to more accurate clinical staging and better treatment decisions. KEY POINTS: Extraprostatic extension is an important indicator guiding treatment approaches. Current assessment of extraprostatic extension is difficult and lacks accuracy. Machine learning improves detection of extraprostatic extension using PSMA-PET/MRI and histopathology.

• Publikační typ
• časopisecké články MeSH

BACKGROUND: Prediction of side-specific extraprostatic extension (EPE) is crucial in selecting patients for nerve-sparing radical prostatectomy (RP). Multiple nomograms, which include magnetic resonance imaging (MRI) information, are available predict side-specific EPE. It is crucial that the accuracy of these nomograms is assessed with external validation to ensure they can be used in clinical practice to support medical decision-making. METHODS: Data of prostate cancer (PCa) patients that underwent robot-assisted RP (RARP) from 2017 to 2021 at four European tertiary referral centers were collected retrospectively. Four previously developed nomograms for the prediction of side-specific EPE were identified and externally validated. Discrimination (area under the curve [AUC]), calibration and net benefit of four nomograms were assessed. To assess the strongest predictor among the MRI features included in all nomograms, we evaluated their association with side-specific EPE using multivariate regression analysis and Akaike Information Criterion (AIC). RESULTS: This study involved 773 patients with a total of 1546 prostate lobes. EPE was found in 338 (22%) lobes. The AUCs of the models predicting EPE ranged from 72.2% (95% CI 69.1-72.3%) (Wibmer) to 75.5% (95% CI 72.5-78.5%) (Nyarangi-Dix). The nomogram with the highest AUC varied across the cohorts. The Soeterik, Nyarangi-Dix, and Martini nomograms demonstrated fair to good calibration for clinically most relevant thresholds between 5 and 30%. In contrast, the Wibmer nomogram showed substantial overestimation of EPE risk for thresholds above 25%. The Nyarangi-Dix nomogram demonstrated a higher net benefit for risk thresholds between 20 and 30% when compared to the other three nomograms. Of all MRI features, the European Society of Urogenital Radiology score and tumor capsule contact length showed the highest AUCs and lowest AIC. CONCLUSION: The Nyarangi-Dix, Martini and Soeterik nomograms resulted in accurate EPE prediction and are therefore suitable to support medical decision-making.

• MeSH
• lidé středního věku MeSH
• lidé MeSH
• magnetická rezonanční tomografie * metody   MeSH
• nádory prostaty * diagnostické zobrazování   patologie   chirurgie   MeSH
• nomogramy * MeSH
• prognóza MeSH
• prostata diagnostické zobrazování   patologie   chirurgie   MeSH
• prostatektomie * metody   MeSH
• retrospektivní studie MeSH
• roboticky asistované výkony metody   MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH
• validační studie MeSH

To investigate the relationship between lesion size determined using multiparametric magnetic resonance imaging (mpMRI) and histopathological findings of specimens obtained after mpMRI fusion biopsy and radical prostatectomy (RP). We retrospectively analysed 290 patients with PCa who underwent an MRI fusion biopsy. We measured the diameter of suspicious tumour lesions on diffusion-weighted mpMRI and stratified the cohort into two groups. Group A included patients with a suspicious tumour lesion 10 mm and Group B included those with a suspicious tumour lesion > 10 mm. In Group B, the PI-RADS score determined in mpMRI was higher than Group A, and there was a statistically significant difference between the two groups in terms of clinical T-stage. The PCa detection rate and the number of positive cores were statistically significantly higher in Group B than in Group A. In addition, there was a statistically significant difference between the two groups in relation to the biopsy, the International Society of Urological Pathology (ISUP) grade values, and the presence of clinically significant PCa. In Group B, pathological T-stage and extraprostatic extension (EPE) and surgical margin (SM) positivity were found to be higher among the patients who underwent RP. In the multivariate analysis, the mpMRI lesion size being > 10 mm was found to be an independent predictive factor for SM and EPE positivity. The clinical results of this study support the modification of the lesion size threshold as 10 mm for use in the differentiation of PI-RADS scores 4 and 5.

• MeSH
• difuzní magnetická rezonance MeSH
• lidé MeSH
• magnetická rezonanční tomografie * metody   MeSH
• nádory prostaty * diagnostické zobrazování   chirurgie   MeSH
• retrospektivní studie MeSH
• ultrazvukem navigovaná biopsie metody   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

PURPOSE: To test discontinuation rates during Active Surveillance (AS) in patients diagnosed with incidental prostate cancers (IPCa) vs. tumors diagnosed at prostate biopsies (BxPCa). METHODS: Retrospective single center analysis of 961 vs. 121 BxPCa vs. IPCa patients (2008-2020). Kaplan-Meier plots and multivariable Cox regression models tested four different outcomes: (1) any-cause discontinuation; (2) discontinuation due to ISUP GG upgrading; (3) biopsy discontinuation due to ISUP GG upgrading or > 3 positive cores; (4) biopsy discontinuation or suspicious extraprostatic extension at surveillance mpMRI. Then, multivariable logistic regression models tested rates of clinically significant PCa (csPCa) (ISUP GG ≥ 3 or pT ≥ 3a or pN1) after radical prostatectomy (RP). RESULTS: Median time follow-up was 35 (19-64) months. IPCa patients were at lower risk of any-cause (3-year survival: 79.3 vs. 66%; HR: 0.5, p = 0.001) and biopsy/MRI AS discontinuation (3-year survival: 82.3 vs. 72.7%; HR: 0.5, p = 0.001), compared to BxPCa patients. Conversely, IPCa patients exhibited same rates of biopsy discontinuation and ISUP GG upgrading over time, relative to BxPCa. In multivariable logistic regression models, IPCa patients were associated with higher rates of csPCa at RP (OR: 1.4, p = 0.03), relative to their BxPCa counterparts. CONCLUSION: AS represents a safe management strategy for IPCa. Compared to BxPCa, IPCa patients are less prone to experience any-cause and biopsy/MRI AS discontinuation. However, the two mentioned groups present similar rates of biopsy discontinuation and ISUP GG upgrading over time. In consequence, tailored AS protocols with scheduled repeated surveillance biopsies should be offered to all newly diagnosed IPCa patients.

• MeSH
• biopsie MeSH
• lidé MeSH
• nádory prostaty * patologie   MeSH
• pozorné vyčkávání MeSH
• prostata * diagnostické zobrazování   patologie   MeSH
• retrospektivní studie MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

INTRODUCTION: There are questions regarding whether grade group (GG) 4 prostate cancer (PC) is heterogeneous in terms of prognosis. We assessed prognostic differences in PC patients within GG 4 treated with radical prostatectomy (RP). MATERIAL AND METHODS: Biochemical recurrence (BCR)-free, cancer-specific, and overall survival were analyzed in 787 PC patients with GG 4 based on RP pathology (Gleason score (GS) 3 + 5: 189, GS 4 + 4: 500, and GS 5 + 3: 98). Logistic regression analysis was performed to assess factors predictive of high-risk surgical pathological features. Cox regression models were used to evaluate potential prognostic factors of survival. RESULTS: Within a median follow-up of 86 months, 378 patients (48.0%) experienced BCR and 96 patients (12.2%) died, 42 of whom (5.3%) died of PC. GS 5 + 3 was significantly associated with worse BCR-free and cancer-specific survival, as well as higher positive surgical margin, lymph node metastasis, extraprostatic extension, and non-organ-confined disease rates, than GS 3 + 5 and higher positive surgical margin, lymph node metastasis, extraprostatic extension, and non-organ-confined disease rates than GS 4 + 4 (P < 0.05). GS 4 + 4 was significantly associated with worse BCR-free survival and higher extraprostatic extension, and non-organ-confined disease rates than GS 3 + 5 (P < 0.05). Inclusion of the different Gleason patterns improved the discrimination of a model for prediction of all survival outcomes compared to standard prognosticators. CONCLUSIONS: There is considerable heterogeneity within GG 4 in terms of oncological and surgical pathological outcomes. Primary and secondary Gleason patterns should be considered to stratify high-risk PC patients after RP.

• MeSH
• lidé středního věku MeSH
• lidé MeSH
• lokální recidiva nádoru patologie   MeSH
• míra přežití MeSH
• nádory prostaty mortalita   patologie   chirurgie   MeSH
• prognóza MeSH
• prostatektomie * MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• stupeň nádoru MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH

AIMS: With the introduction of magnetic resonance imaging in the diagnosis of prostate cancer and its use in targeted prostate biopsy, an increased incidence of anterior-predominant prostate cancer (APC) has been observed. METHODS: We enrolled 200 patients who underwent radical prostatectomy at our department between 12/2017 and 04/2019. We evaluated tumour location in the individual segments of the prostate, index tumour location and volume, and compared the postoperative stage, Gleason score, grade group (GG), and the presence of extraprostatic extension (EPE) in APC and posterior prostate cancer (PPC). We assessed the rate of MRI scans prior to prostate surgery as well as the influence of family history and PSA on the presence of APC. RESULTS: We found a significantly higher rate of anterior tumours than previously reported (37%) and confirmed that these tumours are diagnosed with a significantly larger index tumour volume (P=0.003). We also showed that a mere 6.76% of APCs were low-risk tumours not requiring radical treatment. Furthermore, anterior tumours were found significantly more often (P=0.001) in patients who underwent preoperative MRI. No differences were observed between PSA values, family history, presence of EPE, or locally advanced disease in APC vs. PPC. CONCLUSIONS: The frequency of anterior tumours is higher than previously thought, and they include tumours requiring radical treatment. When these tumours are neglected, it may lead to patient undertreatment with impact on their life prognosis. Thus, we consider the use of MRI-targeted prostate biopsy to be a necessity both for ruling out APC in the case of repeatedly negative prostate biopsies and, in particular, before patient inclusion in active surveillance.

• MeSH
• lidé MeSH
• nádory prostaty * diagnostické zobrazování   chirurgie   MeSH
• prostata diagnostické zobrazování   MeSH
• prostatektomie MeSH
• prostatický specifický antigen * MeSH
• stupeň nádoru MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

AIM: The aim of the study is to investigate the value of preoperative power Doppler sonography with 3D reconstruction (3D-PDS) for diagnostics of extraprostatic extension of prostate cancer. PATIENTS AND METHODS: In the prospective study we examined 146 patients with clinically localized prostate cancer who underwent radical prostatectomy. Prior to surgery, each patient underwent 3D-PDS, transrectal ultrasound (TRUS), and digital rectal examination (DRE). Furthermore, we determined the prostate volume, prostate specific antigen (PSA) level, PSA density (PSAD), and Gleason score. The risk of locally advanced cancer was assessed using Partin tables. We determined the sensitivity, specificity, and predictive values of these diagnostic procedures. We plotted the receiver operating characteristic (ROC) curves and calculated the areas under the curves (AUC). Multivariate logistic regression was used to identify the significant predictors of extraprostatic tumor extension. Based on this we developed diagnostic nomograms maximizing the probability of accurate diagnosis. RESULTS: The significant differences between patients with organ confined and locally advanced tumor (based on the postoperative assessment) were observed in the PSA levels (P < 0.014), PSAD (P < 0.004), DRE (P < 0.037), TRUS (P < 0.003), and 3D-PDS (P < 0.000). The highest AUC value of 0.776 (P < 0.000) was found for 3D-PDS. The observed AUC value for TRUS was 0.670 (P < 0.000) and for PSAD 0.639 (P < 0.004). In multivariate regression analysis, the PSAD, preoperative Gleason score, and 3D-PDS finding were identified as significant preoperative predictors of extraprostatic tumor extension. CONCLUSION: Our data suggest that the 3D-PDS is a valuable preoperative diagnostic examination to identify locally advanced prostate cancer. Therefore, it can be used to maximize the probability of the accurate diagnosis of extraprostatic tumor extension.

• MeSH
• interpretace obrazu počítačem metody   MeSH
• lidé středního věku MeSH
• lidé MeSH
• multivariační analýza MeSH
• nádory mužských pohlavních orgánů sekundární   MeSH
• nádory prostaty chirurgie   patologie   ultrasonografie   MeSH
• prospektivní studie MeSH
• prostatektomie MeSH
• rizikové faktory MeSH
• semenné váčky patologie   MeSH
• senioři MeSH
• senzitivita a specificita MeSH
• ultrasonografie dopplerovská metody   MeSH
• zobrazování trojrozměrné metody   MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• Publikační typ
• hodnotící studie MeSH
• srovnávací studie MeSH

Východisko. Studie hodnotí výsledky předoperačních diagnostických metod na základě jejich porovnání s rozsahem tumoru v preparátu získaném radikální prostatektomií. Metody a výsledky. Do studie bylo zařazeno 146 pacientů s klinicky lokalizovaným karcinomem, kteří následně podstoupili radikální prostatektomii. U každého pacienta byla provedena transrektální sonografie (TRUS), powerDoppler sonografie s 3D rekonstrukcí (3D-PDS) a bylo stanoveno riziko lokálně pokročilého tumoru pomocí Partinových tabulek. V podskupinách lokalizovaného a lokálně pokročilého tumoru byly porovnány jednotlivé předoperační parametry. Pro jednotlivé předoperační parametry byly zkonstruovány ROC křivky a byla vypočtena plocha pod křivkou (AUC). K určení nezávislých prediktorů extraprostatického rozsahu tumoru byla provedena multivariátní logistická regresní analýza. Statisticky signifikantní rozdíl mezi pacienty s lokalizovaným a lokálně pokročilým tumorem byl zaznamenán u hodnot PSA (p<0,014), PSA denzity (p<0,004), u vyšetření DRE (p<0,037), TRUS (p<0,003) a 3D-PDS (p<0,000). Hodnota AUC byla nejvyšší pro 3D-PDS 0,776, TRUS 0,670 a PSA denzitu 0,639. Podle multivariátní analýzy patřila mezi nezávislé předoperační prediktory extraprostatického rozsahu nádorového onemocnění PSA denzita, předoperační Gleason skóre ?7 a výsledek 3D-PDS. Závěry. 3D-PDS je nejspolehlivějším předoperačním diagnostickým nástrojem ke stanovení lokálně pokročilého tumoru. Spolu s PSA denzitou a přítomností agresivního tumoru (Gleason skóre ?7) v biopsii prostaty patří mezi nezávislé prediktory lokálně pokročilého karcinomu prostaty.

Background. Study compares results of preoperative diagnostic methods with measurements of tumor extension in a specimen obtained by radical prostatectomy. Methods and Results. One hundred forty-six patients with clinically identified cancer were enrolled in the study and subjected to radical prostatectomy. Each patient underwent transrectal sonography (TRUS), Power Doppler sonography with 3D reconstruction (3D-PDS), and the risk of the occurrence of locally advanced tumor was assessed using Partin tables. In subgroups of localized and locally advanced tumor, individual preoperative parameters were compared. ROC curves were generated for individual preoperative parameters and the area under the curve (AUC) was calculated. Multivariate logistic regression analysis was performed to determine independent predictors of extraprostatic tumor extension. A statistically significant difference between patients with localized and locally advanced tumor was observed in PSA levels (p<0.014), PSA density (p<0.004), DRE (p<0.037), TRUS (p<0.003), and 3D-PDS (p<0.000). The highest AUC value was found for 3D-PDS 0.776, TRUS 0.670, and PSA density 0.639. According to multivariate analysis, independent preoperative predictors of extraprostatic tumor extension were PSA density, preoperative Gleason score 7, and 3D-PDS finding. Conclusions. Power Doppler sonography with 3D reconstruction represents the most reliable preoperative diagnostic tool in determining locally advanced tumor. Together with PSA density and the presence of aggressive tumor (Gleason score ?7) in prostate biopsy, it is one of independent predictors of locally advanced prostate cancer.

• MeSH
• lidé MeSH
• nádory prostaty komplikace   chirurgie   terapie   MeSH
• předoperační péče metody   statistika a číselné údaje   využití   MeSH
• prospektivní studie MeSH
• prostatektomie metody   statistika a číselné údaje   využití   MeSH
• prostatický specifický antigen analýza   MeSH
• transrektální ultrazvuk o vysoké intenzitě metody   statistika a číselné údaje   využití   MeSH
• ultrasonografie dopplerovská metody   využití   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH