Prostate-specific Antigen Density Values Research Articles

Prostate-specific antigen density as a predictor of recurrence-free survival following combined hormonal-radiation therapy of localized prostate cancer

Background. Prostate cancer is amongst one of the most prevalent cancers in men worldwide. Combined hormonal-radiation therapy has become a standard of care for localized prostate cancer definitive treatment. As many as 30 % of men are at risk for disease progression within 10 years following radical treatment.Aim. To assess the significance of prostate-specific antigen (PSA) density as a predictor of recurrence-free survival following combined hormonal-radiation therapy in patients with localized prostate cancer.Materials and methods. We conducted a retrospective study of 272 patients with clinically localized prostate cancer treatment results who received combined hormonal-radiation therapy between January 1996 and December 2016.Results. On the basis of our study, we confirmed high prognostic value of PSA density among patients with localized prostate cancer who received combined hormonal-radiation treatment. We utilized ROC-analysis in order to determine the threshold value of the PSA density index – 0.376 ng/ml/cm3, exceeding of which was associated with statistically significant reduction in the recurrence-free survival rate. The area under the curve was 0.711 (95 % confidence interval 0.653–0.764; p <0.0001). The risk of recurrence increased with rising of PSA density.Conclusion. PSA density has proven to be a reliable tool for assessing the risk of prostate cancer recurrence among patients with localized prostate cancer who have undergone combined hormonal-radiation therapy.

Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies.

The purpose of this study is to evaluate the diagnostic accuracy of the clinical variables of patients with prostate cancer (PCa) and to provide a strategy to reduce unnecessary biopsies. A Chinese cohort that consists of 833 consecutive patients who underwent prostate biopsies from January 2018 to April 2022 was collected in this retrospective study. Diagnostic ability for total PCa and clinically significant PCa (csPCa) was evaluated by prostate imaging-reporting and data system (PI-RADS) score and other clinical variables. Univariate and multivariable logistic regression analyses were performed to figure out the independent predictors. Diagnostic accuracy was estimated by plotting receiver operating characteristic curves. The results of univariate and multivariable analyses demonstrated that the PI-RADS score (P < 0.001, OR: 5.724, 95% CI: 4.517-7.253)/(P < 0.001, OR: 5.199, 95% CI: 4.039-6.488) and prostate-specific antigen density (PSAD) (P < 0.001, OR: 2.756, 95% CI: 1.560-4.870)/(P < 0.001, OR: 4.726, 95% CI: 2.661-8.396) were the independent clinical factors for predicting total PCa/csPCa. The combination of the PI-RADS score and PSAD presented the best diagnostic performance for the detection of PCa and csPCa. For the diagnostic criterion of "PI-RADS score ≥ 3 or PSAD ≥ 0.3", the sensitivity and negative predictive values were 94.0% and 93.1% for the diagnosis of total PCa and 99.2% and 99.3% for the diagnosis of csPCa, respectively. For the diagnostic criterion "PI-RADS score >3 and PSAD ≥ 0.3", the specificity and positive predictive values were 96.8% and 92.6% for the diagnosis of total PCa and 93.5% and 82.4% for the diagnosis of csPCa, respectively. The combination of the PI-RADS score and PSAD can implement the extraordinary diagnostic performance of PCa. Many patients may safely execute active surveillance or take systematic treatment without prostate biopsies by stratification according to the PI-RADS score and the value of PSAD.

Routine systematic prostate biopsies not replaced by magnetic resonance imaging-targeted biopsy.

Multiparametric magnetic resonance imaging improves the performance of prostate cancer (PCa) diagnostics through a better selection of patients. The aim of the study was to study the detection rate (DR) of systematic and targeted cognitive biopsies in a cohort with the previous negative systematic biopsies. A secondary objective was to describe the value of prostate-specific antigen density (PSAd) in the detection of clinically significant PCa (CSPCa). We designed a prospective, single-center, and comparative study to determine the DR of systematic and targeted cognitive biopsies. The clinical and pathological characteristics of each patient were described. A total of 111 patients with Prostate Imaging Reporting and Data System lesions > 3 were included in the study. PCa was detected in 41.4% (46 of 111 patients); 42 (91.3%) were detected by systematic biopsy and 30 (65.2%) by targeted biopsy. CSPCa was detected in 26 (23.4%), 23 (88.5%) by systematic biopsy, and 21 (76.9%) by targeted biopsy. PSAd > 0.15 was directly associated with CSPCa. The detection of PCa by systematic biopsy in this series was higher than 80%; hence, its routine use should not be replaced by targeted biopsy, since it continues to be the cornerstone of the diagnosis in patients with prior negative biopsies.

Evaluation of transabdominal and transperineal ultrasound-derived prostate specific antigen (PSA) density and clinical utility compared to MRI prostate volumes: A feasibility study.

To investigate the accuracy of surface-based ultrasound-derived PSA-density (US-PSAD) versus gold-standard MRI-PSAD as a risk-stratification tool. Single-centre prospective study of patients undergoing MRI for suspected prostate cancer (PCa). Four combinations of US-volumes were calculated using transperineal (TP) and transabdominal (TA) views, with triplanar measurements to calculate volume and US-PSAD. Intra-class correlation coefficient (ICC) was used to compare US and MRI volumes. Categorical comparison of MRI-PSAD and US-PSAD was performed at PSAD cut-offs <0.15, 0.15-0.20, and >0.20 ng/mL2 to assess agreement with MRI-PSAD risk-stratification decisions. 64 men were investigated, mean age 69 years and PSA 7.0 ng/mL. 36/64 had biopsy-confirmed prostate cancer (18 Gleason 3+3, 18 Gleason ≥3+4). Mean MRI-derived gland volume was 60 mL, compared to 56 mL for TA-US, and 65 mL TP-US. ICC demonstrated good agreement for all US volumes with MRI, with highest agreement for transabdominal US, followed by combined TA/TP volumes. Risk-stratification decisions to biopsy showed concordant agreement between triplanar MRI-PSAD and ultrasound-PSAD in 86-91% and 92-95% at PSAD thresholds of >0.15 ng/mL2 and >0.12 ng/mL2, respectively. Decision to biopsy at threshold >0.12 ng/mL2, demonstrated sensitivity ranges of 81-100%, specificity 85-100%, PPV 86-100% and NPV 83-100%. Transabdominal US provided optimal sensitivity of 100% for this clinical decision, with specificity 85%, and transperineal US provided optimal specificity of 100%, with sensitivity 87%. Transperineal-US and combined TA-TP US-derived PSA density values compare well with standard MRI-derived values and could be used to provide accurate PSAD at presentation and inform the need for further investigations.

Diagnostic value of combining PI-RADS v2.1 with PSAD in clinically significant prostate cancer.

To investigate the diagnostic value of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) for clinically significant prostate cancer (CsPCa). We also aimed to combine PI-RADS v2.1 with prostate-specific antigen (PSA) derivatives to improve the predictive value of CsPCa. We retrospectively collected relevant data who underwent standard MRI examinations of the prostate and subjected to a prostate biopsy at Shenzhen People's hospital from November 2014 to November 2019. Included 125 cases of CsPCa and 383 cases of non-CsPCa. All cases were scored using the PI-RADS v2.1. The clinical data collected included age, PSA, free PSA/total PSA, prostate volume and PSA density (PSAD). A univariate analysis was performed to identify statistically significant indicators. Logistic regression was used to analyze the predictive value of the multi-parameter combination on CsPCa. Except age, the difference in all of indicators between the CsPCa group and non-CsPCa group was statistically significant. The PI-RADS score and PSAD value had the highest diagnostic value. Logistic regression analysis revealed that the PI-RADS score and PSAD value were independent predictors of CsPCa, with a regression model AUC of 0.935. CsPCa detection rates were low when the PI-RADS score ≤ 2 or the PI-RADS score = 3 and the PSAD value ≤ 0.33ng/ml/ml. Combining the PI-RADS score and PSAD value improved the predictive performance of CsPCa. Patients with a PI-RADS score ≤ 2 or a PI-RADS score = 3 and a PSAD value ≤ 0.33ng/ml/ml can avoid an unnecessary biopsy.

Predictive value of PSA density in the diagnosis of prostate cancer in lebanese men.

Being the second most common cancer in men, prostate cancer detection relies on laboratory tests, imaging, and surgical procedures, although biopsy remains the mainstay in diagnosis of prostate cancer. No clear cut-off of prostate specific antigen density (PSAD) for suspecting prostate cancer has been established in the Lebanese population. Our primary objective was to evaluate the diagnostic strength of the PSAD value versus total prostate specific antigen (tPSA) level in the Lebanese men in correlation with biopsy outcome to avoid unnecessary prostate biopsy. A retrospective study of 347 patients with history of prostate biopsy done for cancer suspicion included tPSA, prostate volume, and prostate density values and results of prostate biopsy. Data was collected from Bahman hospital and statistical analysis of the mean values of tPSA, prostate volume and PSAD in different age groups was done. Significance of the results was tested using. On average, patients with negative biopsies were younger and they had lower tPSA levels, lower PSAD values and larger prostate volume compared to patients with positive biopsies. A PSAD cutoff of 0.185 ng/ml2 revealed the highest predictive strength for prostate cancer (6 times risk) compared with other parameters. These findings were mainly referred to patients with PSA > 10 ng/ml. A multifactorial approach must be conducted including all parameters in order to decide upon the need for prostate biopsy. PSAD proved to be a good marker in favor or against a prostate biopsy with a cut-off of 0.185 ng/ml2, especially in patients with tPSA level higher to 10 ng/ml. A multicenter study was recommended for better and more reliable results and more precise cut-offs.

Combining Magnetic Resonance Diffusion-Weighted Imaging with Prostate-Specific Antigen to Differentiate Between Malignant and Benign Prostate Lesions.

BackgroundWe aimed to develop a combined model of quantitative parameters derived from 3 different magnetic resonance imaging (MRI) diffusion models and laboratory data related to prostate-specific antigen (PSA) for differentiating between prostate cancer (PCa) and benign lesions.Material/MethodsEighty-four patients pathologically confirmed as having PCa or benign disease were enrolled. All patients underwent multiparametric MRI before biopsy, added intravoxel incoherent motion (IVIM) imaging, and diffusion kurtosis imaging (DKI). The following data were collected: quantitative parameters of diffusion-weighted imaging (DWI), IVIM, and DKI, preoperative total PSA, free/total PSA ratio, and PSA density (PSAD) values. A combined logistic regression model was established by above MRI quantitative parameters and PSA data to diagnose PCa. The Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) was used to assess the lesions for comparison.ResultsThirty-two patients had PCa and 52 patients had benign lesions. In multivariate logistic regression analysis, only apparent diffusion coefficient (ADC) and PSAD were significant variables (P<0.05) and were thus retained in the model. The area under curve value of the combined model (0.911) was higher than that of ADC, PSAD, and PI-RADS v2 (0.887, 0.861, and 0.859, respectively) in univariate analysis, but without any statistically significant differences. The combined model generated greater clinical benefit than the independent application of ADC, PSAD, and PI-RADS v2.ConclusionsADC and PSAD were the 2 most important metrics for distinguishing PCa from benign lesions. The combined model of ADC and PSAD demonstrated satisfactory discrimination and improved clinical net benefit.

Is PSA density of the peripheral zone as a useful predictor for prostate cancer in patients with gray zone PSA levels?

BackgroundSerum prostate-specific antigen (PSA) is widely used in screening tests for prostate cancer. As the low specificity of PSA results in unnecessary and invasive prostate biopsies, we evaluated the clinical significance of various PSAs and PSA density (PSAD) related to peripheral zones in patients with gray zone PSA level (4–10 ng/mL).MethodsA total of 1300 patients underwent transrectal ultrasonography-guided prostate biopsy from 2014 to 2019. Among them, 545 patients in the gray zone were divided into the prostate cancer diagnosis group and the non-prostate cancer diagnosis group, and PSA, relative extra transitional zone PSA (RETzPSA), estimated post holmium laser enucleation of the prostate PSA (EPHPSA), PSAD, peripheral zone PSA density (PZPSAD) and extra-transitional zone density (ETzD) were compared and analyzed using receiver-operating characteristics (ROC) analysis after 1:1 matching using propensity score.ResultsArea under the ROC curve values of PSA, EPHPSA, RETzPSA, PSA density, ETzD, and PZPSAD were 0.553 (95% CI: 0.495–0.610), 0.611 (95% CI: 0.554–0.666), 0.673 (95% CI: 0.617–0.725), 0.745 (95% CI: 0.693–0.793), 0.731 (95% CI: 0.677–0.780) and 0.677 (95% CI: 0.611–0.719), respectively. PSAD had 67.11% sensitivity, 71.71% specificity, and 70.34% positive predictive rate at 0.18 ng/mL/cc. ETzD had 69.08% sensitivity, 64.47% specificity, and 66.04% positive predictive rate at 0.04 ng/mL/cc. When the cut-off value of PSAD was increased to 0.18 ng/mL/cc, the best results were obtained with an odds ratio of 5.171 (95% CI: 3.171–8.432), followed by ETzD with 4.054 (95% CI: 2.513–6.540).ConclusionsThese results suggested that volume-adjusted parameters (ETzD and PSAD) might be more sensitive and accurate than various PSA in gray zone patients who required prostate biopsy to reduce unnecessary biopsy.

Aktif İzlem İçin Uygun Olan ve Radikal Prostatektomi ile Tedavi Edilen Prostat Kanserli Hastalarda Patolojik Yükselmeyi Gösteren Prediktif Faktörler

Objective: To evaluate the factors to predict Gleason score upgrading in prostate cancer patients who are suitable for active surveillance (AS) and the role of prostate-specific antigen (PSA) density in the management of these patients. Material and Methods: Seventy seven prostate cancer patients who had active surveillance criteria but preferred radical prostatectomy as the treatment instead of active surveillance protocol were included in the study. In our study, Gleason 3+3≤6 adenocarcinoma, positivity in maximum 2 biopsy cores in ≥12 core transrectal ultrasound guided systematic biopsy, PSA<10 ng/mL, and Clinical T Stage ≤2a were used as active follow-up criteria. Tumor grade in the radical prostate and prostate biopsy specimens were compared. Predictive factors of pathological upgrading after radical prostatectomy have been investigated. Results: There is statistically significant correlation between PSA density (p=0.042), prostate volume (p=0.010), maximum tumor length in a core (p=0.001), maximum percentage of tumor in a core (p=0.002), bladder neck involvement (p=0.023) and postoperative Gleason score upgrading in univariate analysis. The optimal cut-off values of PSA density and prostate volume were 0.12 ng/mL2 and 48 cc, respectively. There isn't statistically significant correlation between PSA, free PSA, free/total PSA, the length of biopsy core, perineural invasion, apical involment and postoperative Gleason score upgrading in univariate analysis. Maximum tumor length in a core and prostate volume were independent predictors of pathological Gleason score upgrading on multivariate regression. Conclusion: Prostate volume and maximum tumor length in a core are independent predictors of pathological Gleason score upgrading in our study. These factors should also be included in current AS criterias in addition to PSA density and tumor percentage.

PI-RADS 3 lesions: Does the association of the lesion volume with the prostate-specific antigen density matter in the diagnosis of clinically significant prostate cancer?

IntroductionCurrently, a new subclassification of the Pi-RADS 3 lesions and subgroups is being used: 3a (indolent or low-risk lesions with volume <0.5 ml) and 3b (significant or high-risk lesions with volume ≥0.5 ml). The prostate-specific antigen density (PSAd) has been identified as a diagnostic tool that helps to predict clinically significant prostate cancer (csCaP). The aim of this study is to evaluate the association of the volume of the Pi-RADS 3 lesions and the PSAd in the diagnosis of csCaP. Material and MethodsWe conducted a retrospective study that included prostate biopsies performed using a transperineal approach and guided by ultrasound between 2015 and 2020. csCaP was defined as Gleason score ≥3 + 4. The population was divided into groups according to the Pi-RADS 3 subclassification and the PSAd value. We calculated sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) of 3b lesions for the detection of high-grade prostate cancer, alone and combined with PSAD groups. ResultsIn total, 99 patients with Pi-RADS 3 lesions were included. Forty-three patients were in group 3a and 56, in 3b. Mean PSA was 7.28 ± 2.6 ng/ml. Pi-RADS 3a lesion did not present csCaP but 17.8% of Pi-RADS 3b lesion did. In group 3b with PSAd > 0.15, 62.5% presented csCaP. In those Pi-RADS 3b with PSAd ≤ 0.15, all biopsies were insignificant prostate cancer (isCaP) and 40 biopsies could have been avoided. Considering 3b as positive for csCaP detection, sensitivity was 100%, specificity 48.3%, NPV 17.8%, and PPV 100%. When adding PSAd to group 3b, sensitivity was 100%, specificity was 86.9%, NPV was 62.5%, PPV was 100%. In total, only the subgroup 3b with PSAd > 0.15 presented csCaP and 83.8% biopsies could be avoided. ConclusionsIn this series, the association of the volume of PIRADS 3 lesion and the PSAd improves specificity and PPV contributing to improve the management of csCaP.

PSA density in the diagnosis of prostate cancer in the Chinese population: results from the Chinese Prostate Cancer Consortium.

We performed this study to investigate the diagnostic performance of prostate-specific antigen density (PSAD) in a multicenter cohort of the Chinese Prostate Cancer Consortium. Outpatients with prostate-specific antigen (PSA) levels ≥4.0 ng ml−1 regardless of digital rectal examination (DRE) results or PSA levels <4.0 ng ml−1 and abnormal DRE results were included from 18 large referral hospitals in China. The diagnostic performance of PSAD and the sensitivity and specificity for the diagnosis of prostate cancer (PCa) and high-grade prostate cancer (HGPCa) at different cutoff values were evaluated. A total of 5220 patients were included in the study, and 2014 (38.6%) of them were diagnosed with PCa. In patients with PSA levels ranging from 4.0 to 10.0 ng ml−1, PSAD was associated with PCa and HGPCa in both univariate (odds ratio [OR] = 45.15, P < 0.0001 and OR = 25.38, P < 0.0001, respectively) and multivariate analyses (OR = 52.55, P < 0.0001 and OR = 26.05, P < 0.0001, respectively). The areas under the receiver operating characteristic curves (AUCs) of PSAD in predicting PCa and HGPCa were 0.627 and 0.630, respectively. With the PSAD cutoff of 0.10 ng ml−2, we obtained a sensitivity of 88.7% for PCa, and nearly all (89.9%) HGPCa cases could be detected and biopsies could be avoided in 20.2% of the patients (359/1776 cases). Among these patients who avoided biopsies, only 30 cases had HGPCa. We recommend 0.10 ng ml−2 as the proper cutoff value of PSAD, which will obtain a sensitivity of nearly 90% for both PCa and HGPCa. The results of this study should be validated in prospective, population-based multicenter studies.

Combined Use of Prostate-specific Antigen Density and Magnetic Resonance Imaging for Prostate Biopsy Decision Planning: A Retrospective Multi-institutional Study Using the Prostate Magnetic Resonance Imaging Outcome Database (PROMOD)

BackgroundPrevious studies suggested that prostate-specific antigen (PSA) density (PSAd) combined with magnetic resonance imaging (MRI) may help avoid unnecessary prostate biopsy (PB) with a limited risk of missing clinically significant prostate cancer (csPCa; Gleason grade group [GGG] >1). ObjectiveTo define optimal diagnostic strategies based on the combined use of PSAd and MRI in patients at risk of prostate cancer (PCa). Design, setting, and participantsA retrospective analysis of the international multicenter Prostate MRI Outcome Database (PROMOD), including 2512 men having undergone PSAd and prostate MRI before PB between 2013 and 2019, was performed. Outcome measurements and statistical analysisRates of avoided PB, missed GGG 1, and csPCa according to 10 strategies based on PSAd values and MRI reporting scores (Prostate Imaging Reporting and Data System [PI-RADS]/Likert/IMPROD biparametric prostate MRI Likert). Decision curve analysis (DCA) was used to statistically compare the net benefit of each strategy. Combined systematic and targeted biopsies were used for reference. Results and limitationsAccording to DCA, the best strategy in biopsy-naive patients was #7 (PI-RADS/Likert 4–5 or PI-RADS/Likert 3 if PSAd >0.2), which avoided 41.2% PBs while missed 44% of GGG 1 and 10.9% of csPCa cases. From a clinical standpoint, however, strategies with a lower risk of missing csPCa included #10 (PI-RADS/Likert 4–5 or PI-RADS 3 if PSAd >0.10 or PSAd >0.2), which avoided 27% PBs while missing 24.4% GGG 1 and 4% csPCa cases, or #5 (PI-RADS/Likert 3-5 or PSAd>0.15), which avoided 14.7% PBs while missing 9.3% GGG 1 and 1.7% csPCa cases. Similar results were found in patients with a previous negative biopsy. This study is limited by its retrospective nature, and no central review of MRI and histopathological findings. ConclusionsCombined PSAd and MRI findings allows individualization of the decision to perform PB on the basis of the risk of missing PCa that both patients and clinicians are ready to accept to avoid this procedure. Patient summaryWe compared several biopsy strategies based on a combination of prostate magnetic resonance imaging findings and prostate-specific antigen density, providing a readily available tool for each center and practicing urologist to counsel patients about their individual risk of significant prostate cancer.

Diagnostic yields in patients with suspected prostate cancer undergoing MRI as the first-line investigation in routine practice

To document cancer yields of magnetic resonance imaging (MRI)-directed biopsies in men with suspected prostate cancer referred to secondary care. Men with suspected cancer undergoing multiparametric prostate MRI as the first-line investigation were included in the present study. Systematic transrectal prostate biopsies with/without cognitive targeted biopsies were performed. Diagnostic yields of International Society of Urological Pathology (ISUP) ≥2 cancers by the Prostate Imaging Reporting and Data System (PI-RADS) category were recorded. Impacts of prostate-specific antigen (PSA) density on biopsy results and yields of non-targeted biopsies in MRI non-suspicious prostate sextants assessed. Of 262 men (90.5% biopsy naive), 86 (33%) MRI examinations were negative (PI-RADS 1-2) and 176 (67%) positive (PI-RADS 3: 8%; PI-RADS 4: 21%; PI-RADS 5: 38%). Two hundred and thirteen of 262 patients underwent a biopsy. ISUP ≥2 cancer detection rates were 8% (5/61) for PI-RADS 1-2, 18% (3/17) for PI-RADS 3, 49% (22/45) for PI-RADS 4, and 80% (72/90) for PI-RADS 5. Proportions of ISUP ≥2 increased with higher PSA densities in positive patients (%ISUP ≥2 for PSA density groups <0.12, 0.12 to <0.15 and ≥ 0.15 was 0%, 0%, 25% for PI-RADS 3, 21%, 33%, 68% for PI-RADS 4 and 40%, 83%, 89% for PI-RADS 5 respectively). ISUP ≥2 cancers were twice as likely in tumour adjacent sextants (52% versus 24%), without upgrading of gland level histology from insignificant to clinically significant prostate cancer by the sampling of normal-appearing tumour non-adjacent sextants. One third of men can avoid biopsy after negative MRI. Cancer detection rates increase with PSA density values within positive MRI suspicion categories. Sampling normal-appearing tumour non-adjacent sextants may be unnecessary for whole-gland therapy.

46 - The negative predictive value of PSA density in the MRI prostate era

46 - The negative predictive value of PSA density in the MRI prostate era

Clinical utility of PSAD combined with PI-RADS category for the detection of clinically significant prostate cancer

PurposeThe goal of this study was to determine the predictive value of prostate-specific antigen density (PSAD) plus Prostate Imaging Reporting and Data System (PI-RADS) category for the detection of clinically significant prostate cancer. Materials and MethodsThis retrospective study included 526 men without known prostate cancer (initial diagnosis group) and 133 men with prostate cancer grade group 1 (active surveillance group) who underwent magnetic resonance imaging–guided and/or systematic prostate biopsy procedures between August 2014 and October 2018. Prostate specific antigen (PSA), PSAD, and PI-RADS category were entered into logistic regression models for predicting clinically significant prostate cancer (grade group ≥2) at biopsy. Receiver operating characteristic curve analysis was performed to assess model accuracy. ResultsThe area under the curve (AUC) increased when PSAD was combined with PI-RADS in the initial diagnosis group (difference in AUC = 0.031; 95% confidence interval: 0.012, 0.050; P = 0.002) but not in the active surveillance group (difference in AUC = 0.016; 95% confidence interval: –0.040, 0.071; P = 0.579). When a PSAD threshold of 0.15 was applied, the frequency of clinically significant prostate cancer in patients with a PI-RADS score of 3 or lower decreased from 9.8% to 5.6% in the initial diagnosis group and from 10.7% to 2.7% in the active surveillance group. ConclusionsThe addition of PSAD improves the predictive performance of PI-RADS in men without known prostate cancer. A PSAD threshold of 0.15 can help to minimize the number of missed clinically significant prostate cancer cases in men with a PI-RADS score of 3 or lower who decide to defer biopsy.

Combining clinical and MRI data to manage PI-RADS 3 lesions and reduce excessive biopsy.

BackgroundProstate Imaging Reporting and Data System version 2 (PI-RADS V2) 3 category lesions are of intermediate status with an equivocal risk of presenting clinically significant prostate cancer (csPCa). How to avoid excessive biopsies while improving the csPCa detection rate in these lesions has always been a clinical problem that needed to be solved. The purpose of this study is to explore the csPCa diagnostic value of clinical and magnetic resonance imaging (MRI) data for peripheral and transitional zone (PZ and TZ, respectively) PI-RADS 3 lesions to aid in clinical decision-making and reduce excessive biopsies.MethodsFrom March 2016 to October 2018, a total of 629 men who underwent a prostate MRI and subsequently biopsy were enrolled. Two radiologists (with 3 and 7 years of experience, respectively) independently reviewed and scored all images using the PI-RADS V2 scoring criteria. Clinical and MRI data of men with PI-RADS 3 index lesions were collected by another radiologist. Univariate and multivariate analyses were performed to identify the risk factors of csPCa.ResultsIn a subset of 121 men with 121 PI-RADS 3 index lesions, 25.6% of the lesions (31/121) were PCa (Gleason score ≥6), and 11.6% (14/121) were csPCa (Gleason score ≥7). Further, 44.6% of lesions (54/121) were located in the PZ and 55.4% (67/121) in the TZ. For PZ lesions, 18.5% of the lesions (10/54) were csPCa. Prostate-specific antigen density (PSAD) (P=0.024) and age (P=0.026) were independent risk factors for csPCa in the multivariate logistic analysis. The combination of PSAD and age yielded an area under the curve (AUC) value of 0.816 for predicting csPCa. If biopsy had been restricted to patients with a PSAD ≥0.15 ng/mL2 or an age >68 years, 24.1% (13/54) of patients would have avoided biopsy but only 1 (10%) csPCa would have been missed, with a sensitivity of 80.0% and negative predictive value (NPV) of 92.3%. For TZ lesions, only 6.0% of the lesions (4/67) were csPCa. The PSA and PSAD values in the PI-RADS 3 TZ lesions were higher in the csPCa group (45.07 and 0.47 ng/mL2, respectively) than in the non-csPCa group (10.03 and 0.17 ng/mL2, respectively).ConclusionsCsPCa was detected at a relatively high rate in PI-RADS 3 PZ lesions. Combining PSAD and age could help to reduce excessive biopsies of such lesions. CsPCa is unlikely to be detected in PI-RADS 3 TZ lesions; thus, active surveillance may be an optimal choice for these lesions, especially among patients without high-risk factors.

Negative Biopsy Histology in Men With PI-RADS Score 5 in Daily Clinical Practice: Incidence of Granulomatous Prostatitis.

The purpose of this study was to evaluate the biopsy histology of men who underwent transperineal multi-parametric magnetic resonance imaging (mpMRI)/transrectal ultrasound fusion biopsy for Prostate Imaging Reporting and Data System (PI-RADS) score 5 lesions. From January 2016 to June 2019, 105 men with PI-RADS score 5 underwent mpMRI/transrectal ultrasound fusion biopsy combined with systematic prostate biopsy. All the patients underwent a 3.0 Tesla pelvic mpMRI for the first time before prostate biopsy. In detail, the detection rate for clinically significant prostate cancer (PCa) and the follow-up of the patients without proven diagnosis of PCa has been reported. In 91 (86.7%) of 105 patients, a stage T1c PCa was diagnosed, and 89 (84.5%) of 105 of them were classified as clinically significant PCa. Among the 16 (15.5%) of 105 patients with absence of cancer, 5 (31.5%) of 16 had an aspecific granulomatous prostatitis, 1 (6.2%) of 16 had a specific granulomatous prostatitis secondary to prostatic Mycobacterium Tubercolosis, and 10 (62.3%) of 16 had a diagnosis of normal parenchyma. The 6 patients with granulomatous prostatitis underwent specific antibiotic therapy followed by laboratory (ie, semen and urine cultures) and clinical evaluation. Six months from prostate biopsy, none of the 16 patients underwent repeat prostate biopsy because prostate-specific antigen (PSA) (15/16 cases) plus PSA density significantly decreased; in addition, in all the cases the initial PI-RADS score 5 was downgraded at mpMRI revaluation to PI-RADS score≤3. The reduction of PSA plus PSA density values and the downgrading of PI-RADS score to≤ 3 allow avoiding a repeated prostate biopsy in men with initial mpMRI PI-RADS score 5 lesion and negative biopsy histology.

Role of transrectal ultrasound and prostate-specific antigen density in assessment of clinically suspicious prostate cancer

Background: Prostate cancer (CaP) is a major health concern with rising incidence especially in Black African populations. Digital rectal examination (DRE), transrectal ultrasound scan (TRUS) of the prostate, and prostate-specific antigen density (PSAD) values are useful adjuncts in early diagnosis of CaP. Objective: This study was aimed at evaluating the role of TRUS and PSAD and their correlation with histopathologic findings in patients with DRE features suspicious of CaP. Patients and Methods: This research was a descriptive cross-sectional study of 100 male patients with suspected CaP based on DRE and elevated prostate-specific antigen (PSA) values recruited from the urology clinic and wards of the hospital during 2018–2019. All patients had clinical evaluation, biodata documentation, and grayscale TRUS while PSA values were determined using immunoassay method. PSAD was calculated by dividing the PSA value by the TRUS prostate volume. P ≤ 0.05 at 95% confidence interval was considered significant. Results: The mean age of patients was 66.70 ± 9.60 years with age range of 44–90 years. TRUS features of heterogeneous echotexture (n = 37; 37%), regular outline (n = 73; 73%), and intact capsule (n = 77; 77%) showed the highest frequencies. TRUS alone (P = 0.189, 0.214 and 0.265 for echopattern, outline, and capsular integrity, respectively) was not statistically significant in differentiating between benignity and malignancy. Total mean PSAD was 0.63 ± 0.32 ng/ml/cm3 while the highest mean PSAD was observed in patients with irregular glandular outline (0.74 ± 0.17 ng/ml/cm3) and in those with solitary hypoechoic nodules (0.73 ± 0.61 ng/ml/cm3). There was statistically significant correlation between PSAD values and outcome of prostate biopsy (P = 0.031). Conclusion: PSAD showed a positive correlation with outcome of prostate biopsy as well as greater predictability of CaP than TRUS which was not statistically significant in differentiating between benignity and malignancy.

Accuracy of Prostate Specific Antigen Density in Predicting Prostate Cancer- A single-centre UK experience

Introduction and objectives: PSA has been a useful tool in identifying prostate cancer since its discovery. However relying on this alone can lead to unnecessary over investigation as it can be falsely raised in other conditions. PSA density is a possible enhanced marker for prostate biopsy indication, however it is not standard practice or recommended in national guidelines. Previous studies have shown that PSA density is most useful when the PSA is in the range of 4-10. We aim to study the effectiveness of PSA density at detecting prostate cancer within that range as well as outside that range. Methods: Retrospective single centre study at Peterborough City Hospital including 500 patients who had a MRI prior to prostate biopsy between July 2017 to July 2018. Patients undergoing repeat biopsy already on a cancer pathway were excluded. PSA density was calculated by dividing PSA from the prostate volume recorded on the MRI. A cut of value of PSA density was chosen at 0.15 and 0.10. Results: Data from 500 patients with a mean age of 65 and mean PSA of 10.7 (PSA range 0.32 to 99). 251 (50.2%) patients had cancer on histology with 152 having clinically significant cancer. Mean PSA density was 0.11ng/ml/cm3 with benign histology, 0.36ng/ml/cm3 for all cancer and 0.48ng/ml/cm3 for clinically significant cancer. Overall the mean PSA density in prostate cancer was found to be 0.15. Sensitivity of PSAD at detecting all prostate cancer at cutoff of 0.10 with PSA 4-10 was 76% and 88% for clinically significant prostate cancer (Gleason 7>). The negative predictive value was 94% for clinically significant prostate cancer. With PSA of 10 and PSA density of 0.10 the sensitivity was 93% (all cancer) and 96.6% (Gleason 7>) with a negative predictive value of 93.7% for clinically significant prostate cancer. At a cut off PSA density of 0.15 sensitivity and negative predictive value was 39% and 65% (all prostate cancer) and 50% and 87% (Gleason 7 and above) respectively with PSA of 4-10. ROC curves were created for each PSA range comparing cancer cases versus benign to determine area under curve values. No statistically significant difference was found for PSA range 10ng/ml for all cancer vs benign. However, there was a statistically significant difference when comparing AUC for PSAD in the PSA range of 4-10ng/ml for all cancer vs benign. (p < 0.01). Conclusions: This study is useful as a high powered study with a large study population which shows a direct correlation of PSAD to Gleason scoring. PSAD cut off value of 0.10ng/ml/cm3 has a higher sensitivity and negative predictive value especially when compared against clinically significant prostate cancer. When the PSAD cut off value is increased, sensitivity decreases, however specificity improves. PSAD can be used to avoid unnecessary biopsies however also runs the risk of missing clinically significant cancers.

The Value of Prostate-specific Antigen Density for Prostate Imaging-Reporting and Data System 3 Lesions on Multiparametric Magnetic Resonance Imaging: A Strategy to Avoid Unnecessary Prostate Biopsies

BackgroundMultiparametric magnetic resonance imaging (mpMRI) has excellent sensitivity in detecting significant prostate cancer (sPC). Nevertheless, uncertainty exists regarding the management of Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions. ObjectiveTo investigate whether PI-RADS 3 lesions in combination with clinical parameters, especially prostate-specific antigen density (PSAD), can be used to exclude sPC. Design, setting, and participantsA total of 455 consecutive biopsy-naïve men underwent MRI-guided transperineal prostate fusion biopsy at our department between 2017 and 2018. We identified 101 patients who had exclusively one or more PI-RADS 3 lesions on mpMRI. sPC was defined as intermediate- and high-risk PC (according to the D’Amico risk classification). Outcome measures and statistical analysisUnivariate logistic regression analysis was performed to test different clinical factors as predictors of sPC in men with PI-RADS 3 lesions. The probability of sPC prediction was calculated for different PSAD thresholds. Results and limitationsAmong patients with PI-RADS 3 lesions, PSAD was a significant predictor of sPC (p = 0.005). For a PI-RADS score of 3 the probability of excluding sPC was 85% (86/101), which increased to 98% (42/43) when combined with PSAD <0.1 ng/ml/ml. ConclusionsInclusion of PSAD < 0.1 ng/ml/ml in the strategy for biopsy-naïve patients with equivocal mpMRI findings would allow a reduction in prostate biopsies in 43% (43/101) of cases at the cost of missing a very small number (2%, 1/43) of intermediate-risk PCs. Patient summaryAt high-volume tertiary care centers with significant experience in prostate multiparametric magnetic resonance imaging, immediate biopsies could be safely omitted for men with lesions with a Prostate Imaging-Reporting and Data System score of 3 and prostate-specific antigen density of PSAD < 0.1 ng/ml/ml. Any decision to omit an immediate biopsy should be associated with close monitoring.