Peripheral Zone Cancer Research Articles

Comparative Analysis of the Apparent Diffusion Coefficient and Diffusion Tensor Imaging in the Diagnosis of Prostate Cancer.

The aim of this work was to demonstrate capabilities of diffusion tensor imaging as a diagnostic tool for prostate cancer in comparison with the apparent diffusion coefficient. 364 patients with suspected prostate cancer underwent multiparametric magnetic resonance imaging including diffusion tensor imaging. The anatomical structure of the prostate obtained on T2-weighted imaging was compared with the apparent diffusion coefficient and diffusion tensor imaging maps. The rest of the gland (central and peripheral regions) were used as healthy areas. The apparent diffusion coefficient at diffusion-weighted imaging, fractional anisotropy and mean diffusivity at diffusion tensor imaging were evaluated in pathological zones. Cancer-suspicious areas of the prostate had high fractional anisotropy fractional anisotropy and low mean diffusivity compared to unaltered areas. Fractional anisotropy values were significantly elevated in central gland cancer, compared to normal tissue, and slightly elevated in peripheral zone cancer. Diffusion tensor imaging has the potential to identify prostate cancer with high accuracy and specificity. The combination of standard magnetic resonance imaging and diffusion tensor imaging can significantly improve the prognosis of the disease during active surveillance. The fractional anisotropy and mean diffusivity values can be useful in assessing the grade of malignancy and the radiolopathological correlation of the lesion.

Tale of two zones: investigating the clinical outcomes and research gaps in peripheral and transition zone prostate cancer through a systematic review and meta-analysis

ObjectiveTo assess pathological characteristics, clinical features and outcomes of patients diagnosed with peripheral zone (PZ) and transition zone (TZ) prostate cancer after prostatectomy.Methods and analysisWe systematically reviewed PubMed, EMBASE and...

The anatomic zone localization based on biparametric MRI for the prediction of the risk degree of prostate cancer

Objective: To investigate the anatomic zone localization based on biparametric magnetic resonance imaging (bpMRI) for the prediction of the risk degree in patients with prostate cancer. Methods: A total of 92 patients with prostate cancer confirmed by radical surgery in First Affiliated Hospital, Air Force Medical University, from January 2017 to December 2021 were collected. All patients underwent bpMRI (non-enhanced scan and DWI). According to ISUP grade, those patients were divided into low-risk group [≤grade 2, n=26, aged 71 (64.0, 5.2) years] and high-risk group[≥grade 3, n=66, aged 70.5 (63.0, 74.0) years]. The interobserver consistency test for ADC values was evaluated using the intraclass correlation coefficients (ICC). The differences in total prostate specific antigen (tPSA) between the two groups were compared and the χ2 test was used to compare the differences in the risk of prostate cancer in the transitional and peripheral zone. Independent correlation factors for prostate cancer risk were analyzed by logistic regression using high and low risk of prostate cancer as dependent variables, including factors such as anatomical zone, tPSA, apparent diffusion coefficient mean (ADCmean), apparent diffusion coefficient minimum (ADCmin) and age. Receiver operating characteristic (ROC) curves were plotted to assess the efficacy of the combined models of anatomical zone, tPSA, and anatomical partitioning+tPSA for diagnosing prostate cancer risk. Results: The ICC values of the ADCmean and ADCmin between the observers were 0.906 and 0.885, respectively, with good agreement. The tPSA in the low-risk group was lower than that in the high-risk group [19.64 (10.29, 35.18) ng/ml vs 72.42 (24.79, 187.98) ng/ml; P<0.001]; the risk of prostate cancer in the peripheral zone was higher than that in the transitional zone, and the difference was statistically significant (P<0.01). Multifactorial regression showed that anatomical zones (OR=0.120, 95%CI:0.029-0.501, P=0.004) and tPSA (OR=1.059, 95%CI:1.022-1.099, P=0.002) were risk factors for prostate cancer risk. The diagnostic efficacy of the combined model (AUC=0.895, 95%CI: 0.831-0.958) was better than the predictive efficacy of the single model for both anatomical partitioning (AUC=0.717, 95%CI:0.597-0.837) and tPSA (AUC=0.801, 95%CI: 0.714-0.887) (Z=3.91, 2.47; all P<0.05). Conclusions: The malignant degree of prostate cancer in peripheral zone was higher than that in transitional zone. Combination of anatomic zone located by bpMRI and tPSA can be used to predict the risk of prostate cancer before surgery, expected to provide support for patients to develop personalized treatment strategies.

Clinicopathologic Significance of Anterior Prostate Cancer: Comparison With Posterior Prostate Cancer in the Era of Multiparametric Magnetic Resonance Imaging.

Anterior prostate cancer (APC) has been considered an indolent tumor, most commonly arising in the transition zone (TZ). More recently, detection of APC has been facilitated through multiparametric magnetic resonance imaging and improved biopsy techniques, enabling earlier detection. The pathologic features and clinical significance of pure APC in a large contemporary series of well-characterized tumors have, to date, not been elucidated. Cases with APC defined as cancer present anterior to the urethra only were identified from 1761 consecutive radical prostatectomy specimens accessioned between January 2015 and August 2016. The clinicopathologic features of these cases were compared with those of pure posterior prostate cancer (PPC) and the features of anterior peripheral zone (APZ) cancers were compared with those of TZ cancers. In addition, the tumor series from 2015 to 2016 was compared with a cohort of 1054 patients accessioned before the utilization of multiparametric magnetic resonance imaging in the routine workup of patients with prostate cancer. In the 2015-2016 series, there were 188 (10.7%) patients with APC compared with 5.4% in the series from the pre-multiparametric magnetic resonance imaging era. No difference was observed between APC and PPC with regards to patient age or mean serum prostate-specific antigen at presentation. Mean tumor volume and positive surgical margin (PSM) rates were significantly higher in APC. In contrast, PPC was more commonly high grade with more frequent extraprostatic extension (EPE). None of the cases of APC had infiltration of the seminal vesicle or lymph node involvement, in contrast to PPC, with almost 14% of cases in each category. The 3- and 5-year biochemical recurrence-free survival was significantly higher in APC when compared with PPC, although this was not retained on multivariable analysis which included tumor location. On division of APCs according to anatomic zone of origin, 45% were APZ cancer and 37% TZ cancer. On comparison of APZ and TZ cancers, there were no significant differences in mean age and serum prostate-specific antigen at presentation as well as tumor volume, Gleason score, and PSM rate. High-grade malignancy (Gleason score >3 + 4=7) was seen in 26% of TZ cancers which compared with 44% of APZ cancers and 56% of PPC cancers. The rate of EPE was significantly higher in APZ when compared with TZ cancer ( P< 0.0005); however, the biochemical recurrence rate was not significantly different between the groups. The prevalence of APC in radical prostatectomy specimens has increased in recent times, in association with earlier detection at a stage amenable to curative surgical treatment. APC, when compared with PPC, is less commonly high grade with less frequent EPE, despite the APC group having larger tumors and a higher PSM rate at presentation. However, not all anterior cancers are indolent. Anterior cancers are more commonly seen in the APZ than the TZ and APZ cancers appear more locally aggressive than TZ cancers.

V07-04 SINGLE PORT TRANSVESICAL PARTIAL PROSTATECTOMY FOR LOCALIZED PROSTATE CANCER

You have accessJournal of UrologyCME1 May 2022V07-04 SINGLE PORT TRANSVESICAL PARTIAL PROSTATECTOMY FOR LOCALIZED PROSTATE CANCER Ethan Ferguson, Mahmoud Abou Zeinab, Alp Tuna Beksac, Aaron Kaviani, Christopher Weight, Eric Klein, and Jihad Kaouk Ethan FergusonEthan Ferguson More articles by this author , Mahmoud Abou ZeinabMahmoud Abou Zeinab More articles by this author , Alp Tuna BeksacAlp Tuna Beksac More articles by this author , Aaron KavianiAaron Kaviani More articles by this author , Christopher WeightChristopher Weight More articles by this author , Eric KleinEric Klein More articles by this author , and Jihad KaoukJihad Kaouk More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002598.04AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Cross-sectional imaging guided prostate biopsy has allowed for more accurate diagnosis of clinically localized prostate cancer. Appropriately counseled patients with low or intermediate risk localized disease may opt for focal or ablative therapies. Recently, partial prostatectomy has been shown to be safe and effective for anterior prostate tumors. The single port da Vinci surgical platform with a transvesical approach allows for anterograde dissection of the prostate gland with minimal disturbance to the space of retzius and has recently been adapted for simple and radical prostatectomy. In 2018, cadaver studies demonstrated that partial prostate gland excision was feasible using a single port transvesical approach. Here we present the case of a patient undergoing single port transvesical partial prostatectomy. METHODS: A patient with localized Gleason 3+4 prostate cancer in the left lateral peripheral zone diagnosed on MRI fusion prostate biopsy. The procedure was performed with intraoperative MRI fusion using the KOELISâ mobile fusion imaging platform. The following surgical steps were described: (1) anterograde bladder neck dissection, (2) endopelvic fascia incision, (3) unilateral vascular pedicle ligation, (4) partial DVC ligation, (5) lateral lobe excision, (6) Surgical margin assessment, (7) bladder neck reconstruction. RESULTS: The patient underwent an uncomplicated single port robotic partial prostatectomy with removal of the left lateral lobe and seminal vesical. Intraoperative frozen sections of medial and lateral margins were negative for malignancy. He was discharged after spending 3.8 hours in recovery and did not require narcotics at discharge. His foley catheter was removed on postop day 3 and he was fully continent within 7 days of foley removal. He had good erectile function preoperatively and was fully potent within seven days of surgery. 6 month follow up data shows a stable PSA of 0.88 and no lesions on prostate MRI. CONCLUSIONS: Single port transvesical partial prostatectomy is feasible and safe in carefully selected men with localized prostate cancer. Close attention to ongoing postoperative follow up is imperative to determine long-term oncologic outcomes. Source of Funding: None © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e660 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Ethan Ferguson More articles by this author Mahmoud Abou Zeinab More articles by this author Alp Tuna Beksac More articles by this author Aaron Kaviani More articles by this author Christopher Weight More articles by this author Eric Klein More articles by this author Jihad Kaouk More articles by this author Expand All Advertisement PDF DownloadLoading ...

Arterial input function for quantitative dynamic contrast-enhanced MRI to diagnose prostate cancer.

PURPOSE This study aims to analyze the ability of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to distinguish between prostate cancer (PCa) and benign lesions in transition zone (TZ) and peripheral zone (PZ) using different methods for arterial input function (AIF) determination. Study endpoints are identification of a standard AIF method and optimal quantitative perfusion parameters for PCa detection. METHODS DCE image data of 50 consecutive patients with PCa who underwent multiparametric MRI were analyzed retrospectively with three different methods of AIF acquisition. First, a region of interest was manually defined in an artery (AIFm); second, an automated algorithm was used (AIFa); and third, a population-based AIF (AIFp) was applied. Values of quantitative parameters after Tofts (Ktrans, ve, and kep) in PCa, PZ, and TZ in the three different AIFs were analyzed. RESULTS Ktrans and kep were significantly higher in PCa than in benign tissue independent from the AIF method. Whereas in PZ, Ktrans and kep could differentiate PCa (P < .001), in TZ only kep using AIFpdemonstrated a significant difference (P = .039). The correlations of the perfusion parameters that resulted from AIFm and AIFa were higher than those that resulted from AIFp, and the absolute values of Ktrans, kep, and ve were significantly lower when using AIFp. The values of quantitative perfusion parameters for PCa were similar regardless of whether PCa was located in PZ or TZ. CONCLUSION Ktrans and kep were able to differentiate PCa from benign PZ independent of the AIF method. AIFaseems to be the most feasible method of AIF determination in clinical routine. For TZ, none of the quantitative perfusion parameters provided satisfying results.

The value of relaxation time quantitative technique from synthetic magnetic resonance imaging in the diagnosis and invasion assessment of prostate cancer

Objective: To investigate the application value of relaxation time quantitative technique from synthetic magnetic resonance imaging (MRI) in the diagnosis and invasion assessment of prostate cancer. Methods: A total of 119 patients with prostate diseases [122 regions of interest(ROI)] who underwent routine MRI scan and magnetic resonance image compilation (MAGiC) sequence of prostate from March 2020 to March 2021 in General Hospital of Ningxia Medical University were retrospectively collected, they were divided into prostate cancer group(58 cases, 61 ROI) and non-prostate cancer group(61 cases, 61 ROI) according to the pathological results. In the prostate cancer group, those patients with an age of 48 to 85(69.8±5.9) years, and further divided into two subgroups according to the location of occurrence: peripheral zone cancer group (43 cases, 45 ROI) and transitional zone cancer group (15 cases, 16 ROI). The non-prostate cancer group consisted of patients with benign prostatic hyperplasia or complicated with chronic prostatitis, with an age of 41 to 81(68.6±7.0) years, and they were further divided into two subgroups according to the location of occurrence: non-cancerous peripheral zone group (45 cases, 45 ROI) and transitional zone benign prostatic hyperplasia group(16 cases, 16 ROI). Prostate cancer lesions were classified as low risk (Gleason score ≤6) or intermediate/high risk (Gleason score ≥7). After the post-processing of MAGiC images, T1, T2 and proton density(PD) values of prostate cancer group and non-prostate cancer group were obtained. At the same time, relevant software were used for image post-processing to generate apparent diffusion coefficient (ADC) value, the data between the two groups were analyzed by the Independent sample t-test or Mann-Whitney U-test, and the diagnostic effectiveness of each quantitative parameter in diagnosing prostate cancer and discriminating low risk prostate cancer from intermediate/high risk prostate cancer was analyzed by using receiver operating characteristic curve (ROC) analysis, the correlation between each quantitative parameter and Gleason score were assessed by Spearman correlation analysis. Results: The T1 value and T2 value of the peripheral zone cancer group were lower than those in non-cancerous peripheral zone group [1 201.3 (1 103.5, 1 298.2) ms vs 2 274.0 (1 620.9, 2 776.5) ms; 78.0 (74.0, 83.8) ms vs (160.6±54.9) ms] (all P<0.001), there was no statistically significant in PD value between the two groups (P>0.05). The T1 value and T2 value of the transitional zone cancer group were lower than those in transitional zone benign prostatic hyperplasia group [1 073.3 (1 003.9, 1 164.9) ms vs 1 340.8 (1 208.5, 1 502.8) ms; 76.9 (74.8, 82.8) ms vs 95.1(82.8, 103.4) ms] (all P<0.001), there was no statistically significant in PD value between the two groups (P>0.05). The area under the curve (AUC) of T2 value was similar with the ADC value in discriminating peripheral zone cancer group from non-cancerous peripheral zone group(0.963 vs 0.991, P=0.105), while in discriminating transitional zone cancer group from transitional zone benign prostatic hyperplasia group, the AUC of T2 value、T1 value and ADC value were similar(0.867, 0.930 vs 0.938, all P>0.05). ADC value, T2 value all were negatively correlated with Gleason score (r=-0.747,-0.453, all P<0.001). T2 value and ADC value demonstrated equivalent diagnostic performance in discriminating low risk from intermediate/high risk prostate cancer, and there were no statistically significant (AUC: 0.787 vs 0.943, P=0.069). Conclusions: Quantitative relaxation time T1 and T2 values derived from synthetic MRI can discriminate prostate cancer from other benign pathologies, and T2 value have the equivalent diagnostic performance compared to ADC value. Synthetic MRI has high clinical application value, and T2 value can distinguish low risk prostate cancer from intermediate/high risk prostate cancer.

PI-RADS v2.1 Combined With Prostate-Specific Antigen Density for Detection of Prostate Cancer in Peripheral Zone.

PurposeTo evaluate the diagnostic performance of combining the Prostate Imaging Reporting and Data System (PI-RADS) scoring system v2.1 with prostate-specific antigen density (PSAD) to detect prostate cancer (PCa).MethodsA total of 266 participants with suspicion of PCa underwent multiparametric magnetic resonance imaging (mpMRI) in our hospital, after at least 4 weeks all patients underwent subsequent systematic transrectal ultrasound (TRUS)-guided biopsy or MRI-TRUS fusion targeted biopsy. All mpMRI images were scored in accordance with the PI-RADS v2.1, and univariate and multivariate logistic regression analyses were performed to determine significant predictors of PCa.ResultsA total of 119 patients were diagnosed with PCa in the biopsy, of them 101 patients were diagnosed with clinically significant PCa. The multivariate analysis revealed that PI-RADS v2.1 and PSAD were independent predictors for PCa. For peripheral zone (PZ), the area under the ROC curve (AUC) for the combination of PI-RADS score and PSAD was 0.90 (95% CI 0.83-0.96), which is significantly superior to using PI-RADS score (0.85, 95% CI 0.78-0.93, P=0.031) and PSAD alone (0.83, 95% CI 0.75-0.90, P=0.037). For transition zone (TZ), however, the combination model was not significantly superior to PI-RADS alone, with AUC of 0.94 (95% CI 0.89-0.99) vs. 0.93 (95% CI 0.88-0.97, P=0.186).ConclusionThe combination of PI-RADS v2.1 with PSAD could significantly improve the diagnostic performance of PCa in PZ. Nevertheless, no significant improvement was observed regarding PCa in TZ.

The role of spatial transcriptomic profiling to determine androgen receptor signaling and immune infiltration in prostate cancer

272 Background: Prostate cancer (PCa) in the transition zone (TZ) accounts for approximately 30% of disease and tends to present with higher PSAs with a lower risk of seminal vesicle invasion, extra-capsular extension, and risk of biochemical recurrence compared with peripheral zone (PZ) tumors. The underlying biological mechanism for these differences is poorly understood. Here, we performed spatial transcriptomic profiling to elucidate the molecular differences between TZ and PZ PCa. Methods: We identified three patients who underwent radical prostatectomy for PCa (one each with PZ only, TZ only, and both PZ and TZ tumors) and used the NanoString’s Digital Spatial Profiling (DSP) platform to quantify whole transcriptomic gene expression data (17,128 genes) in multiple regions of interest (ROI) per patient (42 cancer and 8 normal samples). Four morphology markers to facilitate ROI selection in both cancer and normal areas (SYTO13 for nucleus, PanCK for epithelium, SMA for stroma and CD45 for immune cells) were selected. Raw counts for 17,128 genes were imported to R v.4.1.0 for downstream data analyses. Counts were Q3 normalized and scaled (Z-score) to enable plotting of all genes on the same axes. Differential gene expression analysis using a linear model fit by empirical Bayes moderation, gene set enrichment analysis (GSEA) by cancer hallmarks, XCell gene sets for pathway enrichment and immune cell deconvolution using CIBERSORT was performed. Results: There were grade group (GG) 4 (n=10) and 5 (n=10) tumors in PZ and GG 3 (n=10), 4 (n=11) and 5 (n=1) cancers in TZ regions. We observed distinct gene expression profiles between PZ (n = 20) and TZ (n=22) tumors. Interestingly, androgen receptor (AR) signaling was significantly higher in TZ PCa ROIs compared to PZ ROIs in both GSEA (false discovery rate &lt; 5%) and the androgen subcomponent of the genomic prostate score (p&lt;0.001), regardless of grade, epithelial, stromal or immune component of the region. To standardize the comparison, CIBERSORT’s absolute immune signature scores were only computed for GG4 tumors and found to be significantly higher in PZ GG4 tumors compared to TZ GG4 tumors. Notably, CD4+ memory T cells were significantly higher in PZ GG4 regions compared to TZ GG4 tumor regions (p&lt;0.05). Conclusions: Here, we demonstrate distinct gene expression profiles of PZ and TZ PCa. Specifically, we observed higher AR signaling in TZ cancers and higher levels of immune infiltration on PZ cancers. This is in concordance with prior knowledge that TZ tumors may be associated with higher serum PSA and PZ tumors may be associated with inflammation. Further studies are needed to discern the biological and clinical significance of the different molecular features of PZ and TZ PCa.

Transition zone prostate cancer is associated with better clinical outcomes than peripheral zone cancer.

ObjectivesTo determine the biological significance of zonal origins in prostate cancer.Patients and methodsAltogether, 270 consecutive radical prostatectomy cases from 2009 to 2012 were adopted. Cases were divided into those having transition zone (TZ) cancer or peripheral zone (PZ) cancer. Cases with indeterminate tumor location and central zone cancers were excluded from the analyses. Prognosis and clinicopathological features were compared between the two tumor locations. Biochemical recurrence (BCR) and clinical progression (CP) were adopted as prognostic outcome measures. Immunohistochemical features of the v‐ets avian erythroblastosis virus E26 oncogene homolog (ERG)/serine peptidase inhibitor, Kazal‐type 1 (SPINK1) status, and loss of phosphatase and tensin homolog (PTEN‐loss), as well as conventional preoperative and postoperative characteristics, were analyzed.ResultsThis cohort comprised 93 cases of TZ cancer and 160 cases of PZ cancer. TZ cancer cases showed significantly higher BCR and CP‐free survival rate than PZ cancer cases. Notably, no TZ cancer cases developed CP during the 7.8 years of median follow‐up time. Tumor location was an independent predictive factor for BCR in the multivariate analysis. Additionally, TZ cancer cases showed a significantly lower prevalence of ERG‐overexpression and PTEN‐loss than PZ cancer cases (3.2% vs 20.1% and 2.2% vs 18.2%, respectively).ConclusionTZ cancer cases showed a better prognosis and different immunohistochemical features. Conservative treatment strategies could be considered for TZ cancer cases.

Optimizing size thresholds for detection of clinically significant prostate cancer on MRI: Peripheral zone cancers are smaller and more predictable than transition zone tumors

PurposeTo evaluate if size-based cut-offs based on MR imaging can successfully assess clinically significant prostate cancer (csPCA). The goal was to improve the currently applied size-based differentiation criterion in PI-RADS. Methods and materialsMRIs of 293 patients who had undergone 3 T MR imaging with subsequent confirmation of prostate cancer on systematic and targeted MRI/TRUS-fusion biopsy were re-read by three radiologists. All identifiable tumors were measured on T2WI for lesions originating in the transition zone (TZ) and on DWI for lesions from the peripheral zone (PZ) and tabulated against their Gleason grade. Results309 lesions were analyzed, 213 (68.9 %) in the PZ and 96 (31.1 %) in the TZ. ROC-Analysis showed a stronger correlation between lesion size and clinically significant (defined as Gleason Grade Group ≥ 2) prostate cancer (PCa) for the PZ (AUC = 0.73) compared to the TZ (AUC = 0.63). The calculated Youden index resulted in size cut-offs of 14 mm for PZ and 21 mm for TZ tumors. ConclusionSize cut-offs can be used to stratify prostate cancer with different optimal size thresholds in the peripheral zone and transition zone. There was a clearer separation of clinically significant tumors in peripheral zone cancers compared to transition zone cancers. Future iterations of PI-RADS could therefore take different size-based cut-offs for peripheral zone and transition zone cancers into account.

Diagnostic Value of Transrectal Shear Wave Elastography for Prostate Cancer Detection in Peripheral Zone: Comparison with Magnetic Resonance Imaging.

Objective: To assess the diagnostic value of transrectal shear wave elastography (SWE) for detecting prostate cancer (PCa) in peripheral zone and compare it with magnetic resonance imaging (MRI). Materials and Methods: Two hundred twenty-one patients suspected of PCa were enrolled, in which 172 patients of them underwent both SWE and MRI. Elastic value was measured in the area prepared for systematic biopsy and suspicious lesion detected on B-mode or SWE, histopathological result was compared for each biopsy. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were derived by obtaining optimal threshold from receiver operating characteristic (ROC) curve. The correlation between the stiffness of PCa and Gleason scores, prognostic grades, and percentage of cancer in biopsy were evaluated by Spearman rank correlation. Multivariate logistic regression analysis was performed to determine predictors for diagnosing PCa. The diagnostic capacity of MRI and SWE for detecting PCa and clinically significant PCa in the peripheral zone were assessed by comparing area under curve of ROC curve. Results: A value of 42 kPa was used as the cutoff for differentiating benign from malignant prostatic tissue; the sensitivity, specificity, PPV, NPV, and accuracy were 78.97%, 90.67%, 71.30%, 93.66% and 88.03%, respectively. Rank correlation analysis revealed that the stiffness of PCa had a correlation with Gleason score, prognostic grade, and percentage of cancer in biopsy. On multivariate analysis, the age, free prostate-specific antigen (PSA), PSA density, SWE, and MRI were independent predictors for diagnosing PCa. There was no statistical difference for diagnosing PCa between SWE and MRI (p = 0.259). However, for clinically significant PCa, the diagnostic capacity of SWE was a little higher than MRI (p = 0.013). Conclusions: SWE may provide additional information for PCa detection, which could increase the positive rate of PCa in targeted biopsy and reduce unnecessary biopsy. SWE is compatible with MRI for detecting PCa in the peripheral zone.

MP62-04 ONCOLOGICAL PROGNOSIS AND PATHOLOGICAL FEATURE AFTER RADICAL PROSTATECTOMY ACCORDING TO THE ZONAL ORIGIN OF HIGH GRADE PROSTATE CANCER

You have accessJournal of UrologyProstate Cancer: Staging I (MP62)1 Apr 2020MP62-04 ONCOLOGICAL PROGNOSIS AND PATHOLOGICAL FEATURE AFTER RADICAL PROSTATECTOMY ACCORDING TO THE ZONAL ORIGIN OF HIGH GRADE PROSTATE CANCER Jung Jun Kim*, Sung Kyu Hong, and Seok Soo Byun Jung Jun Kim*Jung Jun Kim* More articles by this author , Sung Kyu HongSung Kyu Hong More articles by this author , and Seok Soo ByunSeok Soo Byun More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000937.04AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: We assessed the impact of prostatic zone tumor origin on pathological prognostic features and subsequent biochemical outcomes after radical prostatectomy. METHODS: A total of 3,823 patients who underwent radical prostatectomy between 2003 and 2018 were divided into two grade group. A high grade group was defined as Gleason sum ≥ 4+3 and ISUP (International Society of Urological Pathology) groups 3 to 5. A low grade group was defined as Gleason sum ≤ 3+4, and ISUP groups 1/2. The patients was also classified according to the location of index lesion which is transition zone and peripheral zone. The Kaplan-Meier method was used to determine differences in biochemical recurrence-free survival. RESULTS: The presence of high grade index lesion at transition zone cancer was associated with significantly increased prostate specific antigen, tumor volume and incidence of positive surgical margins but a lower incidence of extraprostatic extension, seminal vesicle invasion, lymph node involvement and biochemical failure after radical prostatectomy compared with high grade peripheral zone cancer (Table 1&2). And the outcome was consisitent regardless of surgical margin (Figure). The zonal origin could not differ the recurrence of low grade cases(Table 2). however, the patients with low grade prostate cancer demonstrated good pathology and decent oncological prognosis regardless of tumor origin. CONCLUSIONS: Among high grade cancer, high grade transition zone index lesion independently impact better biochemical outcome in spite of some worse clinical and pathological prognostic factors. To predict prognosis of high grade cancer patients after prostatectomy, the location of index lesion is definitely one of the factor to consider. Source of Funding: None © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e946-e947 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jung Jun Kim* More articles by this author Sung Kyu Hong More articles by this author Seok Soo Byun More articles by this author Expand All Advertisement PDF downloadLoading ...

Tumor Location and Pathological Features of Latent and Incidental Prostate Cancer in Contemporary Japanese Men.

The incidence of prostate cancer is increasing in Asian countries. Studies using prostatectomy specimens have reported a racial difference in tumor location within the prostate, with a greater incidence of transition zone cancer in Asian men compared with Caucasian men. However, there may be potential biases in studies based on surgical specimens. We describe the pathological features of subclinical prostate cancer, such as latent cancer and incidental cancer, to elucidate tumor location of contemporary Japanese patients. We also compare the prevalence of latent and incidental prostate cancer to determine whether the incidence of prostate cancer is higher in patients with bladder cancer. Overall 182 men autopsied and 148 who underwent cystoprostatectomy for bladder cancer were included in the study. Each prostate gland was fixed and sliced in step sections. Histological evaluation was performed by a single genitourinary pathologist. The index tumor location was categorized into transition zone or peripheral zone. Prostate cancer was found in 39.0% of the autopsy specimens and 31.6% of the cystoprostatectomy specimens. The prevalence and pathological characteristics were not significantly different between latent and incidental cancer. The prevalence of transition zone cancer was 39.0% (46 of 118). In elderly men peripheral zone cancer was more frequently diagnosed than transition zone cancer (p=0.049). The pathological characteristics of transition and peripheral zone cancers were similar except for the pT stage. Transition zone cancer was prevalent in contemporary Japanese men. The incidence of prostate cancer in men with bladder cancer might not be higher than that in healthy men.

The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone

PurposeTo assess the association between intravoxel-incoherent motion diffusion-weighted imaging (IVIM) derived hypoxia and the aggressiveness of prostate cancer (PCa) and to explore its contribution to the risk stratification of PCa. MethodsSeventy-five peripheral zone (PZ) PCa patients, who underwent multiparametric MRI (mpMRI), were included in this study. Systematic ultrasound guided biopsy was used as reference. IVIM was acquired with 5 b values (b = 0∼750 s/mm2). Apparent diffusion coefficient (ADC), pure tissue diffusion (Ds), volume fraction of pseudo-diffusion (fp), hypoxic fraction (HFDWI), hypoxia score (HSDWI) and relative oxygen saturation(rOSDWI), were calculated and histogram analysis was applied. Groups comparison was performed between low-intermediate-grade group (LG, the International Society of Urological Pathology (ISUP) Gleason Grade (GG) ≤2) and high-grade (HG, ISUP GG ≥ 3) group. The correlation between diffusion parameters and ISUP GG was assessed. Cross-validated Support Vector Machine (SVM) Classification was performed and compared with univariate ROC analysis to explore the risk stratification of PZ PCa. ResultsMean, median, and the 10th percentile of Ds differed significantly between groups (p < 0.05). Several parameters significantly correlated with ISUP grade, and the 10th percentile of Ds showed the strongest correlation (ρ= − 0.284). The prediction model containing IVIM derived hypoxia yielded an area under the receiver operating characteristics curve (AUC) ranging 0.749–0.786 for cross-validation. The AUCs of the SVM modeling were higher than that of any single parameter. ConclusionIVIM derived hypoxia demonstrated significant correlation with the aggressiveness of PCa. It’s supplemental to the MRI assessment of PCa with a promising stratification of risk stratification of PZ PCa.

Differentiation of prostatitis and clinically significant prostate cancer in peripheral zone using the prostate imaging-reporting and data system

Objective: To determine whether clinically significant prostate cancer (PCa) and prostatitis in the peripheral zone can be distinguished using prostate imaging reporting and data system version 1 (PI-RADS V1) and version 2(PI-RADS V2). Methods: Between September 2010 and August 2016, mpMRI data of 77 patients with PCa and 29 prostatitis obtained at 3.0 T were collected in Zhangjiagang Hospital Affiliated to Soochow University. Every lesion was scored according to PI-RADS (V1 and V2), as well as a sum score and a PI-RADS V2 score. The non-parametric Kruskal-Wallis test was used to assess differences between PCa and prostatitis regarding PS3, PS4 and PI-RADS V2 score. The diagnostic performance of PI-RADS V1 and V2 for detection of prostatitis in peripheral zone was compared by analyzing ROC curve. Results: The PI-RADS V1 score for PS3, PS4 and the PI-RADS V2-score were all significantly higher for PCa (PS3:12.1±2.1; PS4:16.2±2.9; V2:4.6±0.8) than for prostatitis (PS3:8.0±0.7; PS4:10.6±1.0; V2:3.0±0.5) (all P<0.01). Of these parameters, PS4 achieved the highest predictive value for the presence of prostatitis with an AUC of 0.937, sensitivity and specificity were 87.0%, 97.0% with a threshold of 12.5. Conclusion: Prostatitis can be differentiated from clinically significant PCa in peripheral zone on mpMRI using PI-RADS system, PS4 achieved better results compared to PS3 and V2.

The prognostic value of zonal origin and extraprostatic extension of prostate cancer for biochemical recurrence after radical prostatectomy

ObjectiveTo investigate the influence of the zonal origin of prostate cancer and extraprostatic extension on biochemical recurrence (BCR). Patients and methodsWe included 638 consecutive patients undergoing radical prostatectomy between 2005 and 2015 who did not receive neoadjuvant/adjuvant therapy. The largest lesion was defined as the index tumor. We categorized each patient into the transition zone (TZ) or peripheral zone (PZ) group based on the lesion where the index tumor existed. Differences in the BCR defined as increasing prostate-specific antigen rate between groups were examined by Kaplan-Meier analysis and the Cox proportional hazards model. ResultsThere were 293 (46%) patients with TZ cancer and 345 (54%) with PZ cancer. TZ cancer was significantly associated with a higher prostate-specific antigen (P = 0.012), lower biopsy positive core rate (P = 0.020), lower pathological Gleason score (P = 0.017), lower pathological stage (P = 0.002), and lower rate of seminal vesicle invasion (P = 0.002). During a median follow-up period of 59 months, 79 patients (12%) developed BCR. In the entire cohort, the PZ origin (hazard ratio: 1.68, P = 0.033) and extraprostatic extension were independent risk factors for BCR. The 3-, 5-, and 7-year BCR-free survival rates of patients with pT3a TZ cancer were 89%, 88%, and 86%, respectively, which were significantly better than those of patients with pT3a PZ cancer (80%, 74%, and 62%, P = 0.012), but were similar to those of the pT2 cancer cohort (92%, 91%, and 90%, P = 0.376). ConclusionTZ cancer had more favorable pathological characteristics and oncological outcome than PZ cancer especially in pT3a cases.

Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI

Analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging is notable for the variability of calculated parameters. The purpose of this study was to evaluate the level of measurement variability and error/variability due to modeling in DCE magnetic resonance imaging parameters. Two prostate DCE scans were performed on 11 treatment-naïve patients with suspected or confirmed prostate peripheral zone cancer within an interval of less than two weeks. Tumor-suspicious and normal-appearing regions of interest (ROI) in the prostate peripheral zone were segmented. Different Tofts-Kety based models and different arterial input functions, with and without bolus arrival time (BAT) correction, were used to extract pharmacokinetic parameters. The percent repeatability coefficient (%RC) of fitted model parameters Ktrans, ve, and kep was calculated. Paired t-tests comparing parameters in tumor-suspicious ROIs and in normal-appearing tissue evaluated each parameter's sensitivity to pathology. Although goodness-of-fit criteria favored the four-parameter extended Tofts-Kety model with the BAT correction included, the simplest two-parameter Tofts-Kety model overall yielded the best repeatability scores. The best %RC in the tumor-suspicious ROI was 63% for kep, 28% for ve, and 83% for Ktrans . The best p values for discrimination between tissues were p <10-5 for kep and Ktrans, and p = 0.11 for ve. Addition of the BAT correction to the models did not improve repeatability. The parameter kep, using an arterial input functions directly measured from blood signals, was more repeatable than Ktrans. Both Ktrans and kep values were highly discriminatory between healthy and diseased tissues in all cases. The parameter ve had high repeatability but could not distinguish the two tissue types.

Interobserver Agreement and Positivity of PI-RADS Version 2 Among Radiologists with Different Levels of Experience

To evaluate interobserver agreement of Prostate Imaging Reporting and Data System (PI-RADS) v2 category among radiologists with different levels of experience. The secondary objective was to evaluate the positivity for significant cancer among each category (splitting category 4 into two) and among different lesion sizes. Institutional review board and ethics comitee approved retrospective study. Eight radiologists with different levels of experienced in prostatic magnetic resonance imaging-two more experienced, four with intermediate experience, and two abdominal radiology fellows-interpreted 160 lesions. Reference standard was fusion-targeted biopsy. Percentage agreement, k coefficients, and analysis concordance were used. Coefficient of concordance according to categories was 0.71 considering both zones, 0.72 for peripheral zone (PZ) and 0.44 for peripheral zone (TZ). Agreement for PI-RADS score of 3 or greater was 0.48 in PZ and 0.57 in TZ. Tumor positivity rates were 54.3% and 66.0% for PI-RADS 3 + 1 and 4 for PZ, respectively; and 25.0 and 49.2% for PI-RADS 3 + 1 and 4 for TZ, respectively (p < 0.001 in both analysis). Lesions <10, 10-14, and ≥15 mm had 55.3%, 74.6%, and 93.5% of positivity rates for cancer in PZ (p = 0.002 and <0.001) and 26.7%, 56.5%, and 59.6% in TZ, respectively (p = 0.245 and 0.632). Sensitivities, specificities, and accuracies of magnetic resonance imaging for prostate cancer using PI-RADS v2 were 76%, 72%, and 74% for PZ; and 76%, 69%, and 71% for TZ, respectively. This study shows that PI-RADS v2 has overall good interobserver agreement among radiologists with different levels of experience. PI-RADS category 3 + 1 showed lower positivity rates for significant cancer compared to category 4. Lastly, lesions 10-14 mm has similar positivity rates compared to ≥15 mm for TZ lesions.

Characterization of prostate cancer with MR spectroscopic imaging and diffusion-weighted imaging at 3 Tesla

PurposeTo retrospectively measure metabolic ratios and apparent diffusion coefficient (ADC) values from 3-Tesla MR spectroscopic imaging (MRSI) and diffusion-weighted imaging (DWI) in benign and malignant peripheral zone (PZ) prostate tissue, assess the parameters' associations with malignancy, and develop and test rules for classifying benign and malignant PZ tissue using whole-mount step-section pathology as the reference standard. MethodsThis HIPAA-compliant, IRB-approved study included 67 men (median age, 61 years; range, 41–74 years) with biopsy-proven prostate cancer who underwent preoperative 3 T endorectal multiparametric MRI and had ≥1 PZ lesion >0.1 cm3 at whole-mount histopathology. In benign and malignant PZ regions identified from pathology, voxel-based choline/citrate, polyamines/choline, polyamines/creatine, and (choline + polyamines + creatine)/citrate ratios were averaged, as were ADC values. Patients were randomly split into training and test sets; rules for separating benign from malignant regions were generated with classification and regression tree (CART) analysis and assessed on the test set for sensitivity and specificity. Odds ratios (OR) were evaluated using generalized estimating equations. ResultsCART analysis of all parameters identified only ADC and (choline + polyamines + creatine)/citrate as significant predictors of cancer. Sensitivity and specificity, respectively, were 0.81 and 0.82 with MRSI-derived, 0.98 and 0.51 with DWI-derived, and 0.79 and 0.90 with MRSI + DWI-derived classification rules. Areas under the curves (AUC) in the test set were 0.93 (0.87–0.97) with ADC, 0.82 (0.72–0.91) with MRSI, and 0.96 (0.92–0.99) with MRSI + ADC. ConclusionWe developed statistically-based rules for identifying PZ cancer using 3-Tesla MRSI, DWI, and MRSI + DWI and demonstrated the potential value of MRSI + DWI.