OBJECTIVE: To compare the efficacy of periprostatic nerve block (PPNB) alone versus periprostatic nerve block plus oral Tramadol+Paracetamol Tablet for pain control during and after transrectal ultrasound-guided (TRUS) biopsy of the prostate gland. METHODS: This was a double-blind, placebo-controlled randomized clinical trial. The authors randomized 40 male patients each to either PPNB or PPNB plus oral tramadol and paracetamol (37.5mg/325mg) an hour prior to prostate biopsy. A ten-point visual analog scale was used to measure pain intensity and was recorded upon insertion of the ultrasound probe, during the biopsy, and one hour after the procedure. RESULTS: The two groups were similar in terms of baseline characteristics. Reductions in pain scores were statistically significantly different (p<.001) for each group when comparing pain from at point of insertion of the probe versus during biopsy and versus one-hour post-operatively. However, when comparing the two groups, the pain scores were not statistically significantly different upon insertion of the probe (p=.68), during the biopsy (p=.26) and one-hour post-operatively (p=.54). CONCLUSION Tramadol and paracetamol combination in addition to periprostatic nerve block produces pain relief similar to standard periprostatic nerve block alone.
Male ; Prostate ; Nerve Block ; Biopsy ; Ultrasonography

PURPOSE: To explore the effect of bi-parametric MRI-ultrasound (MR/US) fusion prostate biopsy on the detection of overall cancer and significant prostate cancer (sPCa). MATERIALS AND METHODS: We examined 140 patients with suspected prostate cancer lesions on MRI from August 2016 to March 2018. All patients had undergone 3T pre-biopsy bi-parametric (T2 weighted and diffusion-weighted) prostate MRI (bpMRI), and their MRI images were evaluated with Prostate Imaging Reporting and Data System (PI-RADS) version 2.0. MR/US fusion targeted prostate biopsy was performed for lesions with a PI-RADS score ≥3 before systemic biopsy. The results of targeted and systemic biopsy were evaluated in regards to detection rate according to PI-RADS score. RESULTS: Of the patients (mean age=67.2 years, mean prostate-specific antigen level=8.1 ng/mL), 66 (47.1%) and 37 (26.4%) patients were diagnosed with cancer and significant prostate cancer, respectively. The rate of positive targeted biopsy increased with higher PI-RADS score (3: 40.4%, 4: 56.7%, 5: 90.0%). The proportion of significant prostate cancer among positive target lesions was 65.3% (32/49). CONCLUSION: bpMRI is a feasible tool with which to identify sPCa. MR/US fusion biopsy, rather than systemic biopsy, can help identify sPCa. We recommend using supplemental tools to increase prostate cancer detection in patients with PI-RADS 3 lesions.
Biopsy ; Diffusion ; Humans ; Image-Guided Biopsy ; Information Systems ; Magnetic Resonance Imaging ; Male ; Prostate ; Prostate-Specific Antigen ; Prostatic Neoplasms ; Ultrasonography

PURPOSE: The purpose of this study was to compare the diagnostic yield of five systematic randomized protocols using 12–20 biopsy cores with variably-sized phantoms. METHODS: A total of 100 prostate phantom models were produced by casting liquid devil's tongue jelly using silicone molds. Sets of 20 phantoms were created with the following volumes: 20 mL, 40 mL, 60 mL, 80 mL, and 100 mL. Three focal lesions were created by injecting 0.5 mL of warm agar solution stained with red, blue, and green ink into each phantom model. The focal lesions were verified by ultrasonography. The systematic randomized biopsy protocols consisted of 12, 14, 16, 18, and 20 biopsy cores. The diagnostic yield of the multiple systematic biopsy protocols was compared. RESULTS: The overall detection rates of each model set were 93.3% for 20 mL, 88.3% for 40 mL, 71.7% for 60 mL, 43.3% for 80 mL, and 30.0% for 100 mL. Statistically significant differences in the detection rate were found between 40 mL and 60 mL and between 60 mL and 80 mL. No statistically significant increase in the detection rate was observed within a given volume set even when the number of core biopsies increased from 12 to 20. CONCLUSION: The diagnostic yield of systematic randomized biopsies is inversely proportional to the phantom volume.
Agar ; Amorphophallus ; Biopsy* ; Fungi ; Ink ; Prostate* ; Silicon ; Silicones ; Tongue* ; Ultrasonography

BACKGROUND: Insufficient physical activity is well known to increase benign prostate hyperplasia (BPH). However, only few studies have been conducted on the relationship between occupational physical activity and BPH. This study aimed to investigate the relationship between occupational physical activities and BPH in South Korea.METHODS: The study subjects included 4,102 workers who visited the health promotion center at Ulsan University Hospital and underwent transrectal ultrasonography between January 2016 and December 2017. The subjects were divided into two groups according to occupational physical activity (manual or non-manual workers). BPH was defined as a prostate volume of >25 mL. We performed a multivariate regression analysis to investigate the associations between the occupational groups and BPH. In addition, we divided the subgroups according to age and body mass index and analyzed the relationship between occupational physical activities and BPH in each subgroup.RESULTS: The risk of BPH was significantly higher in the non-manual workers than in the manual workers. This result was consistent after adjusting for other risk factors of BPH (odds ratio, 1.26; 95% confidence interval, 1.05–1.51). Likewise, in the subgroup analysis according to age and body mass index, the non-manual workers had higher BPH risk than the manual workers.CONCLUSION: The risk of BPH was significantly higher in the non-manual workers than in the manual workers. To prevent BPH, more attention should be paid to the physical activities and education of non-manual workers.
Body Mass Index ; Education ; Health Promotion ; Humans ; Hyperplasia ; Korea ; Motor Activity ; Occupational Groups ; Prostate ; Prostatic Hyperplasia ; Risk Factors ; Ulsan ; Ultrasonography

PURPOSE: To compare biopsy performance of 2 approaches for multiparametric magnetic resonance imaging (MRI) guided biopsy and transrectal ultrasonography (TRUS)-guided biopsy with 2nd and 3rd repeat biopsy patients in prostate cancer detection. MATERIALS AND METHODS: This retrospective study reviewed 2,868 patients who was performed prostate biopsy between September 2013 to March 2017 at Samsung Medical Center, Seoul, Korea with TRUS-guided random biopsy and MRI fusion, MRI cognitive, and MRI-guided biopsy as 2nd and 3rd repeat biopsy and propensity matching was applied to reduce bias. Detection rate of each study was compared with 1:1 matching. RESULTS: Among 265 patients who performed TRUS 2nd biopsy, positivity rate for prostate cancer (PCa) was 18.49% (n=49/265) while 54.72% (n=145/265) for MRI-guided biopsy. In 3rd biopsy, positivity rate for PCa of TRUS biopsy was 17.74% (n=11/62) while 56.45% (n=35/62) for MRI guided biopsy. There was no significant difference in the detection rate for the patient with Gleason score 8 or more. CONCLUSIONS: MRI-guided biopsy was associated with a higher detection rate of prostate cancer with especially in patients with prior negative biopsy.
Bias (Epidemiology) ; Biopsy ; Cohort Studies ; Humans ; Korea ; Magnetic Resonance Imaging ; Neoplasm Grading ; Passive Cutaneous Anaphylaxis ; Propensity Score ; Prostate ; Prostatic Neoplasms ; Retrospective Studies ; Seoul ; Ultrasonography

PURPOSE: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. MATERIALS AND METHODS: We analyzed 943 patients who underwent transrectal ultrasonography (TRUS)-guided prostate biopsy at Chungnam National University Hospital between 2014 and 2018 because of elevated PSA levels and/or abnormal digital rectal examination and/or TRUS findings. We retrospectively reviewed the patients’ medical records, analyzed the prediction rate of prostate cancer, and identified 20 feature importances that could be compared with biopsy results using 5 different algorithms, viz., logistic regression (LR), support vector machine, random forest (RF), extreme gradient boosting, and light gradient boosting machine. RESULTS: Overall, the cancer detection rate was 41.8%. In patients younger than 75 years and with a PSA level less than 20 ng/mL, the best prediction model for prostate cancer detection was RF among the machine learning methods based on LR analysis. The PSA density was the highest scored feature importances in the same patient group. CONCLUSIONS: These results suggest that the prediction rate of prostate cancer using machine learning methods not inferior to that using LR and that these methods may increase the detection rate for prostate cancer and reduce unnecessary prostate biopsy, as they take into consideration feature importances affecting the prediction rate for prostate cancer.
Biopsy ; Chungcheongnam-do ; Digital Rectal Examination ; Forests ; Humans ; Logistic Models ; Machine Learning ; Medical Records ; Prostate ; Prostate-Specific Antigen ; Prostatic Neoplasms ; Retrospective Studies ; Support Vector Machine ; Ultrasonography

PURPOSE: This study aimed to develop a multi-channel near-infrared spectroscopy (NIRS) and ultrasonography (USG) fusion imaging system for imaging prostate cancer and to verify its diagnostic capability by applying the hybrid imaging system to a prostate cancer phantom. METHODS: A multi-channel NIRS system using the near-infrared 785-nm wavelength with 12 channels and four detectors was developed. After arranging the optical fibers around a USG transducer, we performed NIRS imaging and grayscale USG imaging simultaneously. Fusion imaging was obtained by processing incoming signals and the spatial reconstruction of NIRS, which corresponded with grayscale USG acquired at the same time. The NIRS-USG hybrid system was applied to a silicone-based optical phantom of the prostate gland containing prostate cancer to verify its diagnostic capability qualitatively. RESULTS: The NIRS-USG hybrid imaging system for prostate cancer imaging simultaneously provided anatomical and optical information with 2-dimensional registration. The hybrid imaging system showed more NIR attenuation over the prostate cancer model than over the model of normal prostate tissue. Its diagnostic capability to discriminate a focal area mimicking the optical properties of prostate cancer from the surrounding background mimicking the optical properties of normal prostate tissue was verified by applying the hybrid system to a silicone-based optical phantom of prostate cancer. CONCLUSION: This study successfully demonstrated that the NIRS-USG hybrid system may serve as a new imaging method for improving the diagnostic accuracy of prostate cancer, with potential utility for future clinical applications.
Diagnosis ; Methods ; Optical Fibers ; Prostate ; Prostatic Neoplasms ; Spectroscopy, Near-Infrared ; Transducers ; Ultrasonography

To explore the value for contrast-enhanced transrectal ultrasound (CETRUS) in the diagnosis of prostate cancer.
 Methods: Prostate biopsy from 207 cases of suspected prostate cancer were collected between January 2013 and March 2015. These patients were performed ultrasound-guided prostate biopsy in Central Hospital of Changsha. They were randomly divided into a radiography group (n=104) and a non-radiography group (n=103) according to the order of treatment. Transrectal ultrasonography (TRUS) was the first choice in the 2 groups, and CETRUS was conducted in the radiography group. Then, the transrectal biopsy was carried out in the 2 groups. The diagnostic value of CETRUS in prostate cancer was evaluated by pathological examination, a gold standard.
 Results: The sensitivity, specificity, and coincidence rates of TRUS in diagnosing prostate cancer were 65%, 60.4%, and 62.8%, respectively, while those rates of CETRUS in diagnosing prostate cancer were 89%, 78%, and 84%, respectively, with significant difference between the above 2 groups (all P<0.05).
 Conclusion: The sensitivities, specificities, and coincidence rates for CETRUS are superior to TRUS in diagnosing prostate cancer, which can provide a clinical basis for the diagnosis and differential diagnosis of prostate cancer.
Contrast Media ; Endoscopic Ultrasound-Guided Fine Needle Aspiration ; methods ; Humans ; Male ; Prostate ; diagnostic imaging ; pathology ; Prostatic Neoplasms ; diagnostic imaging ; pathology ; Radiography, Interventional ; Sensitivity and Specificity ; Ultrasonography ; methods

Aged ; Asian People ; Humans ; Image-Guided Biopsy/methods* ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Multimodal Imaging/methods* ; Prostate/pathology* ; Prostatic Neoplasms/pathology* ; Rectum/diagnostic imaging* ; Robotic Surgical Procedures/methods* ; Ultrasonography

This study was performed to evaluate prostate-specific antigen-age volume (PSA-AV) scores in predicting prostate cancer (PCa) in a Chinese biopsy population. A total of 2355 men who underwent initial prostate biopsy from January 2006 to November 2015 in Huashan Hospital were recruited in the current study. The PSA-AV scores were calculated and assessed together with PSA and PSA density (PSAD) retrospectively. Among 2133 patients included in the analysis, 947 (44.4%) were diagnosed with PCa. The mean age, PSA, and positive rates of digital rectal examination result and transrectal ultrasound result were statistically higher in men diagnosed with PCa (all P < 0.05). The values of area under the receiver operating characteristic curves (AUCs) of PSAD and PSA-AV were 0.864 and 0.851, respectively, in predicting PCa in the entire population, both performed better than PSA (AUC = 0.805; P < 0.05). The superiority of PSAD and PSA-AV was more obvious in subgroup with PSA ranging from 2.0 ng ml^-1 to 20.0 ng ml^-1. A PSA-AV score of 400 had a sensitivity and specificity of 93.7% and 40.0%, respectively. In conclusion, the PSA-AV score performed equally with PSAD and was better than PSA in predicting PCa. This indicated that PSA-AV score could be a useful tool for predicting PCa in Chinese population.
Aged ; Aged, 80 and over ; Aging/pathology* ; Area Under Curve ; Asian People ; Digital Rectal Examination ; Humans ; Image-Guided Biopsy ; Male ; Predictive Value of Tests ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/diagnostic imaging* ; ROC Curve ; Reference Values ; Retrospective Studies ; Sensitivity and Specificity ; Ultrasonography, Interventional