Comparisons of mpMRI, 68Ga-PSMA PET/CT and mpMRI combined with 68Ga-PSMA PET/CT in diagnosing prostate cancer based on tumor detection, localization and staging.

PURPOSE: To evaluate the diagnostic ability of mpMRI, 68Ga-PSMA PET/CT and mpMRI combined with 68Ga-PSMA PET/CT in detecting and localizing lesions, and further clarify the accuracy of these examinations in tumor staging. METHODS: Seventy patients who underwent mpMRI, 68Ga-PSMA PET/CT and radical prostatectomy were enrolled. The abilities to detect index and clinically significant lesions by three examinations were compared. We further evaluated the ability of these examinations to localize lesions to the superior, inferior, anterior, posterior, left and right halves of the prostate and analyzed their accuracy in local and lymph node staging. RESULTS: There were no significant differences among mpMRI, 68Ga-PSMA PET/CT and mpMRI combined with 68Ga-PSMA PET/CT in their ability to detect index (p = 0.48, p = 0.23 and p = 0.07) and clinically significant lesions (p = 0.30, p = 0.29 and p = 0.06) or to localize lesions in six half divisions of the prostate. With postoperative pathology as reference, both mpMRI (p = 0.10) and mpMRI combined with 68Ga-PSMA PET/CT (p = 0.10) can accurately assess the local staging of prostate cancer. However, 68Ga-PSMA PET/CT underestimates the local staging of prostate cancer (p < 0.01). Regarding lymph node staging, the three types of examination showed no significant differences compared to postoperative pathology (p = 0.63, p = 0.51 and p = 0.14). CONCLUSIONS: With postoperative pathology as reference, 68Ga-PSMA PET/CT underestimates the local tumor staging. MpMRI combined with 68Ga-PSMA PET/CT has no obvious advantages in detecting, localizing or staging prostate cancer compared with mpMRI.

A prospective head-to-head comparison of [68Ga]Ga-P16-093 and [68Ga]Ga-PSMA-11 PET/CT in patients with primary prostate cancer.

PURPOSE: We aimed to compare the diagnostic performance and biodistribution of two similar PET agents, [68Ga]Ga-P16-093 and [68Ga]Ga-PSMA-11, in the same group of primary prostate cancer (PCa) patients. METHODS: Fifty patients with untreated, histologically confirmed PCa by needle biopsy were enrolled. Each patient underwent [68Ga]Ga-P16-093 and [68Ga]Ga-PSMA-11 PET/CT within a week. In addition to visual analysis, the standardized uptake value (SUV) was measured for semiquantitative comparison and correlation analysis. RESULTS: [68Ga]Ga-P16-093 PET/CT detected more positive tumors than [68Ga]Ga-PSMA-11 PET/CT (202 vs. 190, P = 0.002), both for intraprostatic lesions (48 vs. 41, P = 0.016) and metastatic lesions (154 vs. 149, P = 0.125), especially for intraprostatic lesions in low- and intermediate-risk PCa patients (21/23 vs. 15/23, P = 0.031). Furthermore, [68Ga]Ga-P16-093 PET/CT exhibited a significantly higher SUVmax for most matched tumors (13.7 ± 10.2 vs. 11.4 ± 8.3, P < 0.001). For normal organs, [68Ga]Ga-P16-093 PET/CT showed significantly lower activity in the kidney (SUVmean: 20.1 ± 6.1 vs. 29.3 ± 9.1, P < 0.001) and urinary bladder (SUVmean: 6.5 ± 7.1 vs. 20.9 ± 17.4, P < 0.001), but displayed a higher uptake in the parotid gland (SUVmean: 8.7 ± 2.6 vs. 7.6 ± 2.1, P < 0.001), liver (SUVmean: 7.0 ± 1.9 vs. 3.7 ± 1.3, P < 0.001), and spleen (SUVmean: 8.2 ± 3.0 vs. 5.2 ± 2.2, P < 0.001) than [68Ga]Ga-PSMA-11 PET/CT. CONCLUSION: [68Ga]Ga-P16-093 PET/CT demonstrated higher tumor uptake and better tumor detectability than [68Ga]Ga-PSMA-11 PET/CT, especially in low- and intermediate-risk PCa patients, which indicated that [68Ga]Ga-P16-093 may serve as an alternative agent for detection of PCa. TRIAL REGISTRATION: 68Ga-P16-093 and 68Ga-PSMA-11 PET/CT Imaging in the Same Group of Primary Prostate Cancer Patients (NCT05324332, Registered 12 April 2022, retrospectively registered). URL OF REGISTRY: https://clinicaltrials.gov/ct2/show/NCT05324332 .

Development of a nomogram combining multiparametric magnetic resonance imaging and PSA-related parameters to enhance the detection of clinically significant cancer across different region.

OBJECTIVE: Prostate cancer (PCa) is the most prevalent cancer among males. This study attempted to develop a clinically significant prostate cancer (csPCa) risk nomogram including Prostate Imaging-Reporting and Data System (PI-RADS) score and other clinical indexes for initial prostate biopsy in light of the different prostate regions, and internal validation was further conducted. PATIENTS AND METHODS: A retrospective study was performed including 688 patients who underwent ultrasound-guided transperineal magnetic resonance imaging fusion prostate biopsy from December 2016 to July 2019. We constructed nomograms combining PI-RADS score and clinical variables (prostate-specific antigen [PSA], prostate volume (PV), age, free/total PSA, and PSA density) through univariate and multivariate logistic regression to identify patients eligible for biopsy. The performance of the predictive model was evaluated by bootstrap resampling. The area under the curve (AUC) of the receiver-operating characteristic (ROC) analysis was appointed to quantify the accuracy of the primary nomogram model for csPCa. Calibration curves were used to assess the agreement between the biopsy specimen and the predicted probability of the new nomogram. The χ2 test was also applied to evaluate the heterogeneity between fusion biopsy and systematic biopsy based on different PI-RADS scores and prostate regions. RESULTS: A total of 320 of 688 included patients were diagnosed with csPCa. csPCa was defined as Gleason score ≥7. The ROC and concordance-index both presented good performance. The nomogram reached an AUC of 0.867 for predicting csPCa at the peripheral zone; meanwhile, AUC for transitional and apex zones were 0.889 and 0.757, respectively. Statistical significance was detected between fusion biopsy and systematic biopsy for PI-RADS score >3 lesions and lesions at the peripheral and transitional zones. CONCLUSION: We produced a novel nomogram predicting csPCa in patients with suspected imaging according to different locations. Our results indicated that PI-RADS score combined with other clinical parameters showed a robust predictive capacity for csPCa before prostate biopsy. The new nomogram, which incorporates prebiopsy data including PSA, PV, age, and PI-RADS score, can be helpful for clinical decision-making to avoid unnecessary biopsy.

Identification of UAP1L1 as a critical factor for prostate cancer and underlying molecular mechanism in tumorigenicity.

BACKGROUND: Prostate cancer is the second most common cancer in men, and some new target genes are needed to predict the risk of prostate cancer progression and the treatment. METHODS: In this study, the effects of UAP1L1 (UAP1-like-1) on prostate cancer were investigated by detecting the proliferation, migration, invasion and apoptosis of prostate cancer cells in vitro using MTT, wound healing, Transwell and flow cytometry assay, and the tumor growth in vivo. The downstream genes and pathways of UAP1L1 were explored using Ingenuity Pathway Analysis (IPA), and screened by qRT-PCR and western blot. The effects of CDCA8 on prostate cancer cells were also verified in vitro, which was through detecting the change of proliferation, migration, invasion and apoptosis of prostate cancer cells after CDCA8 knockdown. RESULTS: The results indicated that UAP1L1 promoted the proliferation, migration and invasion of prostate cancer cells, which was inhibited by downregulating CDCA8. Furthermore, the promotion of CDCA8 knockdown on cell apoptosis was reduced when UAP1L1 was simultaneously overexpressed. CONCLUSIONS: In conclusion, the results in this study revealed that UAP1L1 promoted the progression of prostate cancer through the downstream gene CDCA8.

The characteristics and spatial distributions of prostate cancer in autopsy specimens.

BACKGROUND: The characteristics of prostate cancer on autopsy and early-stage prostate cancer are identical. Using autopsy specimens, we analysed prostate cancer characteristics and clarified the spatial distributions of lesions. METHOD: We obtained prostate specimens from Chinese donors without a prostate cancer diagnosis and analyzed prostate cancer pathological characteristics on autopsy by whole-mount sampling. We determined the distributions of lesions in horizontal and vertical dimensions. The horizontal dimension included four horizontal quadrants (left-anterior, left-posterior, right-anterior, and right-posterior quadrants), the peripheral zone, and the transition zone. RESULT: The overall positive rate of prostate cancer among 113 specimens was 35.4%. There were 73 lesions in 40 prostates with prostate cancer. The positive rates of lesions in the left-anterior, left-posterior, right-anterior, and right-posterior quadrants were 24.7% (18/73), 27.4% (20/73), 26.0% (19/73), and 21.9% (16/73), respectively. The positive rate of prostate cancer was 74% in the areas between the apex above 0.5-0.8 cm and the middle slice. There were 22 (30.1%) and 51 (69.9%) lesions in the superior and inferior half of the prostate. There were no significant differences in the median volume and Gleason grade group between the superior and inferior half (p = .876 and p = .228). CONCLUSION: In the horizontal dimension, the positive rate of prostate cancer was consistent in the four quadrants. Prostate cancer mainly originated from the areas between the apex above 0.5-0.8 cm and the middle slice. Compared with the superior half, the inferior half of the prostate had a higher positive rate but the same lesion characteristics.

Long non-coding RNA ADAMTS9-AS1 inhibits the progression of prostate cancer by modulating the miR-142-5p/CCND1 axis.

BACKGROUND: Emerging evidence has implied the importance of long non-coding RNAs in cancer development, including prostate cancer (PCa). Bioinformatic analyses have identified that ADAMTS9-AS1 may play a role in cancer progression. METHODS: A quantitative real-time polymerase chain reaction was conducted to measure ADAMTS9-AS1 expression level at messenger RNA level. In vitro functional analyses were performed to investigate cell behaviors status under different conditions. Moreover, rescue assays were conducted to explore the potential mechanisms of ADAMTS9-AS1 in PCa progression. RESULTS: ADAMTS9-AS1 expression is down-regulated in PCa. Forcing ADAMTS9-AS1 expression impedes PCa cell proliferation via initiating cell apoptosis. Importantly, microRNA-142-5p (miR-142-5p) mimic and small-interfering RNA targeting cyclin D1 (CCND1, si-CCND1) could attenuate the inhibitory effects of ADAMTS9-AS1 overexpression on PCa cell growth. CONCLUSIONS: Collectively, our results indicate that ADAMTS9-AS1 suppresses PCa progression by regulating the miR-142-5p/CCND1 axis, which provides a new mechanism for the progression of PCa.

Development and internal validation of a prediction model of prostate cancer on initial transperineal template-guided prostate biopsy.

BACKGROUND: Due to the invasiveness of prostate biopsy, a prediction model of the individual risk of a positive biopsy result could be helpful to guide clinical decision-making. Most existing models are based on transrectal ultrasonography (TRUS)-guided biopsy. On the other hand, transperineal template-guided prostate biopsy (TTPB) has been reported to be more accurate in evaluating prostate cancer. The objective of this study is to develop a prediction model of the detection of high-grade prostate cancer (HGPC) on initial TTPB. RESULT: A total of 1352 out of 3794 (35.6%) patients were diagnosed with prostate cancer, 848 of whom had tumour with Grade Group 2-5. Age, PSA, PV, DRE and f/t PSA are independent predictors of HGPC with p < 0.001. The model showed good discrimination ability (c-index 0.886) and calibration during internal validation and good clinical performance was observed through decision curve analysis. The external validation of CPCC-RC, an existing model, demonstrated that models based on TRUS-guided biopsy may underestimate the risk of HGPC in patients who underwent TTPB. CONCLUSION: We established a prediction model which showed good discrimination ability and calibration in predicting the detection of HGPC by initial TTPB. This model can be used to aid clinical decision making for Chinese patients and other Asian populations with similar genomic backgrounds, after external validations are conducted to further confirm its clinical applicability.

Transmuscular quadratus lumborum block for postoperative pain and recovery after laparoscopic adrenalectomy: a randomized controlled trial.

BACKGROUND: To investigate the role of transmuscular quadratus lumborum block (TMQLB) for postoperative pain control, patient satisfaction and recovery in laparoscopic adrenalectomy. METHODS: Seventy-two patients aged between 18 and 70 years with an ASA I-II and scheduled for laparoscopic adrenalectomy were randomized to receive a single-shot TMQLB with 0.4 ml/kg 0.5 % ropivacaine or 0.4 ml/kg 0.9 % saline as placebo. The primary endpoint was pain on movement at 12 h after surgery evaluated by the numeric rating scale (NRS, 0-10). P-values < 0.05 was considered statistically significant. The secondary outcomes included pain at rest and pain on movement evaluated by the NRS, and postoperative recovery related parameters. RESULTS: NRS on movement at 12 h after surgery was lower in the TMQLB group compared with the control (median 2 vs. 3, p = 0.024). Intraoperative fentanyl consumption was lower in the TMQLB group (247.08 ± 63.54 vs. 285.44 ± 74.70, p = 0.022). The rate of using postoperative rescue tramadol was also lower in the TMQLB group (5.6 vs. 27.8 %, p = 0.027). Similar incidences of nausea and vomiting were observed (11.1 vs. 25 %, p = 0.220). Patient satisfaction of pain service was better in the TMQLB group (83.3 vs. 25 %, p < 0.001) with shorter time to ambulation (16.5 vs. 21 h, p = 0.004) and flatus (18.5 vs. 23.5 h, p = 0.006). CONCLUSIONS: TMQLB showed better control of postoperative pain on movement for laparoscopic adrenalectomy with improved patients' satisfaction of anesthesia, shorter time to ambulation and flatus. TRIAL REGISTRATION: This study was registered at Clinicaltrials.gov ( NCT03942237 ; registration date: 08/05/2019; enrollment date: 10/05/2019).

Tumor characteristics, treatments, and survival outcomes in prostate cancer patients with a PSA level < 4 ng/ml: a population-based study.

BACKGROUND: To examine the tumor characteristics, treatments and survival outcomes of prostate cancer (PCa) patients with a prostate-specific antigen (PSA) level < 4 ng/ml. METHODS: Of 205,913 men with primary prostate adenocarcinoma in the Surveillance, Epidemiology and End Results (SEER) database (2010 to 2015), 24,054 (11.68%) patients were diagnosed with a PSA level < 4 ng/ml. Comparisons of categorical variables among different groups were performed by using the Chi square test. Multivariate Cox regression analysis was adjusted for age, ethnicity, marital status, insurance status, TNM stage, Gleason grade, treatment and survival. Kaplan-Meier survival curves were constructed for overall mortality and tested by the log-rank test. RESULTS: PCa patients with a PSA level < 4 ng/ml generally had more favorable tumor characteristics: younger, lower T stage, lower Gleason grade and lower lymph node metastasis rate. However, there were more patients in stage M1 in the group of PSA level < 4 ng/ml than that in the groups of PSA level of 4-10 ng/ml, 10-20 ng/ml and > 20 ng/ml. The multivariate Cox regression model revealed that overall mortality was associated with age, marital status, race, Gleason grade, M stage and treatment approach. CONCLUSIONS: In conclusion, PCa patients with a PSA level < 4 ng/ml have more favorable tumor characteristics at diagnosis and receive more benefit from active treatment. However, those patients with advanced TNM stage and high Gleason grade should be paid more attention in clinical application.

Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies.

BACKGROUND: Whether men with a prostate-specific antigen (PSA) level of 4-10 ng/mL should be recommended for a biopsy is clinically challenging. PURPOSE: To develop and validate a radiomics model based on multiparametric MRI (mp-MRI) in patients with PSA levels of 4-10 ng/mL to predict prostate cancer (PCa) preoperatively and reduce unnecessary biopsies. STUDY TYPE: Retrospective. SUBJECTS: In all, 199 patients with PSA levels of 4-10 ng/mL. FIELD STRENGTH/SEQUENCE: 3T, T2 -weighted, diffusion-weighted, and dynamic contrast-enhanced MRI. ASSESSMENT: Lesion regions of interest (ROIs) from T2 -weighted, diffusion-weighted, and dynamic contrast-enhanced MRI were annotated by two radiologists. A total of 2104 radiomic features were extracted from the ROI of each patient. A random forest classifier was used to build the radiomics model for PCa in the primary cohort. A combined model was constructed using multivariate logistic regression by incorporating the radiomics signature and clinical-radiological risk factors. STATISTICAL TESTS: For continuous variables, variance equality was assessed by Levene's test and Student's t-test, and Welch's t-test was used to assess between-group differences. For categorical variables, Pearson's chi-square test, Fisher's exact test, or the approximate chi-square test was used to assess between-group differences. P < 0.05 was considered statistically significant. RESULTS: The combined model incorporating the multi-imaging fusion model, age, PSA density (PSAD), and the PI-RADS v2 score yielded area under the curve (AUC) values of 0.956 and 0.933 on the primary (n = 133) and validation (n = 66) cohorts, respectively. Compared with the clinical-radiological model, the combined model performed better on both the primary and validation cohorts (P < 0.05). Furthermore, the use of the combined model to predict PCa could identify more negative PCa patients than the use of the clinical-radiological model by 18.4%. DATA CONCLUSION: The combined model was developed and validated to provide potential preoperative prediction of PCa in men with PSA levels of 4-10 ng/mL and might aid in treatment decision-making and reduce unnecessary biopsies. LEVEL OF EVIDENCE: 3 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2020;51:1890-1899.

Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy.

BACKGROUND: Biopsy Gleason score (GS) is crucial for prostate cancer (PCa) treatment decision-making. Upgrading in GS from biopsy to radical prostatectomy (RP) puts a proportion of patients at risk of undertreatment. PURPOSE: To develop and validate a radiomics model based on multiparametric magnetic resonance imaging (mp-MRI) to predict PCa upgrading. STUDY TYPE: Retrospective, radiomics. POPULATION: A total of 166 RP-confirmed PCa patients (training cohort, n = 116; validation cohort, n = 50) were included. FIELD STRENGTH/SEQUENCE: 3.0T/T2 -weighted (T2 W), apparent diffusion coefficient (ADC), and dynamic contrast enhancement (DCE) sequences. ASSESSMENT: PI-RADSv2 score for each tumor was recorded. Radiomic features were extracted from T2 W, ADC, and DCE sequences and Mutual Information Maximization criterion was used to identify the optimal features on each sequence. Multivariate logistic regression analysis was used to develop predictive models and a radiomics nomogram and their performance was evaluated. STATISTICAL TESTS: Student's t or chi-square were used to assess the differences in clinicopathologic data between the training and validation cohorts. Receiver operating characteristic (ROC) curve analysis was performed and the area under the curve (AUC) was calculated. RESULTS: In PI-RADSv2 assessment, 67 lesions scored 5, 70 lesions scored 4, and 29 lesions scored 3. For each sequence, 4404 features were extracted and the top 20 best features were selected. The radiomics model incorporating signatures from the three sequences achieved better performance than any single sequence (AUC: radiomics model 0.868, T2 W 0.700, ADC 0.759, DCE 0.726). The combined mode incorporating radiomics signature, clinical stage, and time from biopsy to RP outperformed the clinical model and radiomics model (AUC: combined model 0.910, clinical model 0.646, radiomics model 0.868). The nomogram showed good performance (AUC 0.910) and calibration (P-values: training cohort 0.624, validation cohort 0.294). DATA CONCLUSION: Radiomics based on mp-MRI has potential to predict upgrading of PCa from biopsy to RP. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 5 J. Magn. Reson. Imaging 2020;52:1239-1248.

The transverse and vertical distribution of prostate cancer in biopsy and radical prostatectomy specimens.

BACKGROUND: Prostate biopsy is the most common method for the diagnosis of prostate cancer and the basis for further treatment. Confirmation using radical prostatectomy specimens is the most reliable method for verifying the accuracy of template-guided transperineal prostate biopsy. The study aimed to reveal the spatial distribution of prostate cancer in template-guided transperineal saturation biopsy and radical prostatectomy specimens. METHODS: Between December 2012 to December 2016, 171 patients were diagnosed with prostate cancer via template-guided transperineal prostate biopsy and subsequently underwent laparoscopic radical prostatectomy. The spatial distributions of prostate cancer were analyzed and the consistency of the tumor distribution between biopsy and radical prostatectomy specimens were compared. RESULTS: The positive rate of biopsy in the apex region was significantly higher than that of the other biopsy regions (43% vs 28%, P < 0.01). In radical prostatectomy specimens, the positive rate was highest at the region 0.9-1.3 cm above the apex, and it had a tendency to decrease towards the base. There was a significant difference in the positive rate between the cephalic and caudal half of the prostate (68% vs 99%, P < 0.01). There were no significant differences between the anterior and posterior zones for either biopsy or radical prostatectomy specimens. CONCLUSION: The tumor spatial distribution generated by template-guided transperineal prostate biopsy was consistent with that of radical prostatectomy specimens in general. The positive rate was consistent between anterior and posterior zones. The caudal half of the prostate, especially the vicinity of the apex, was the frequently occurred site of the tumor.

Comparison of lesions detected and undetected by template-guided transperineal saturation prostate biopsy.

OBJECTIVES: To compare the characteristics of lesions detected or undetected by template-guided transperineal saturation prostate biopsy and to evaluate the potential impact of undetected lesions. MATERIALS AND METHODS: We evaluated the characteristics of lesions in radical prostatectomy (RP) specimens, compared the differences between lesions detected and undetected by systematic transperineal ultrasonography-guided 11-region biopsy with regard to tumour volume, Gleason score, surgical margin, spatial location and clinical significance, and assessed the potential impact of undetected clinically significant lesions. RESULTS: The median number of biopsy cores was 24. Sixty-four percent of the clinically significant lesions (170/264) were detected. There were significant differences between the detected and undetected lesions in tumour volume, Gleason score and clinical significance. Inconsistencies found in lesion position between biopsy and RP specimens in the anterior and posterior zones and the left and right sides was 3.4% (7/203) and 5.4% (11/203), respectively. Of the 129 patients, 13 (10.1%) were found to have undetected clinically significant lesions in the biopsy lying on the same side but in a different zone from the detected clinically significant lesions, whereas 23 patients (17.8%) had undetected clinically significant lesions in the biopsy lying on the opposite side from the detected clinically significant lesions. CONCLUSIONS: Template-guided transperineal saturation prostate biopsy detected approximately two-thirds of clinically significant lesions. Most of the undetected lesions were those with small tumour volume. Approximately 20-30% of patients had clinically significant undetected lesions in a different lobe or different quadrant from the detected lesions in the biopsy.

Preliminary Application of WCX Magnetic Bead-Based Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry in Analyzing the Urine of Renal Clear Cell Carcinoma.

Objective To evaluate the application of weak cation exchange (WCX) magnetic bead-based Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) in detecting differentially expressed proteins in the urine of renal clear cell carcinoma (RCCC) and its value in the early diagnosis of RCCC.Methods Eleven newly diagnosed patients (10 males and 1 female, aged 46-78, mean 63 years) of renal clear cell carcinoma by biopsy and 10 healthy volunteers (all males, aged 25-32, mean 29.7 years) were enrolled in this study. Urine samples of the RCCC patients and healthy controls were collected in the morning. Weak cation exchange (WCX) bead-based MALDI-TOF MS technique was applied in detecting differential protein peaks in the urine of RCCC. ClinProTools2.2 software was utilized to determine the characteristic proteins in the urine of RCCC patients for the predictive model of RCCC. Results The technique identified 160 protein peaks in the urine that were different between RCCC patients and health controls; and among them, there was one peak (molecular weight of 2221.71 Da) with statistical significance (P=0.0304). With genetic algorithms and the support vector machine, we screened out 13 characteristic protein peaks for the predictive model. Conclusions The application of WCX magnetic bead-based MALDI-TOF MS in detecting differentially expressed proteins in urine may have potential value for the early diagnosis of RCCC.

Transperineal template-guided prostate biopsy: 10 years of experience.

OBJECTIVE: To assess the efficacy and safety of transperineal template-guided prostate biopsy. MATERIALS AND METHODS: From December 2003 to December 2013, a total of 3 007 patients (30-91 years old, mean age 69.1) who met the inclusion criteria underwent 11-region transrectal ultrasound-guided transperineal template prostate biopsy. The inclusion criteria included a prostate-specific antigen (PSA) level of 4.0 ng/mL or greater and abnormal prostate gland findings on digital rectal examination, ultrasound, CT or MRI. The median PSA level was 11.0 ng/mL (range 0.2-100 ng/mL). The prostate cancer detection rate and prostate biopsy adverse effects, as well as prostate cancer spatial distribution were analyzed. RESULTS: A mean of 19.3 cores (range 11-44) were obtained for each biopsy, and more cores were obtained in larger prostates than in smaller ones. One to four cores were collected from each region. Prostate cancer was detected in 1 067 of the 3 007 patients (35.5%). The prostate cancer detection rates in groups with PSA levels of 0-4.0 ng/mL, 4.1-10.0 ng/mL, 10.1-20.0 ng/mL, 20.1-50.0 ng/mL, and 50.1-100.0 ng/mL were 15.3% (27/176), 21.0% (248/1 179), 32.6% (318/975), 56.0% (232/414), and 92.0% (241/262), respectively. The mean positives for cancer in regions 1-10 and region 11 (the apical region) were 46.7% vs 52.0% (P = 0.014). Regarding adverse effects, 47.0% of the patients reported hematuria, 6.1% developed hemospermia, 1.9% required short-term catheterization after biopsy because of acute urinary retention, and 0.03% (one patient) developed urosepsis. CONCLUSIONS: Transrectal ultrasound-guided transperineal template prostate biopsy is safe and accurate. The current study suggests that prostate carcinoma foci are more frequently localized in the apical region.