Comparison of cancer detection between 18- and 12-core prostate biopsy in Asian patients with prostate-specific antigen levels of 4–20 ng/mL

Wang, Boren; Chen, Cheng Che; Zheng, Ren-Hao; Hu, Ju-Chuan; Ou, Yen‐Chuan

doi:10.1016/j.jcma.2018.06.003

Cited by 3 publications

(2 citation statements)

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“…A previous study reported that the tumor incidence in a systematic 12core biopsy adding cognitive fusion-targeted biopsy on mpMRI was 88% and 94% in those with PI-RADS V2.0 scores 4 and 5, respectively (21). In our hospital, we do not perform mpMRI targeted biopsy (22). Furthermore, DRE corresponding to MRI is a definitive predictor of PC.…”

Section: Discussionmentioning

confidence: 81%

Building a Nomogram for Prediction of Prostate Cancer in Patients With Preoperatively Suspected Prostate Cancer

Chang

Tung

et al. 2020

Anticancer Res

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Background/Aim: Expanded indications for patients with preoperatively suspected prostate cancer (PC) undergoing theranostic robotic-assisted laparoscopic radical prostatectomy (T-RARP) are reported. We aimed to build a nomogram of T-RARP to predict final pathologically proven PC. This study reviewed data of 153 patients that underwent T-RARP for suspected PC performed by the same surgeon. Patients and Methods: Patients' preoperative demographic and clinical characteristics included age, prostate-specific antigen (PSA) level, PSA density (PSAD), history of acute urinary retention (AUR), abnormal digital rectal examination (DRE) of the prostate, and Prostate Imaging Reporting and Data System (PI-RADS) classification at 3-T multiparametric magnetic resonance imaging (MRI). Logistic regression with backward elimination was used to select potential risk factors. Results: Based on Harrell's guidelines, we chose seven variables for our final model: Age, DRE corresponding with MRI, AUR, PSAD, prostate-specific antigen velocity (PSAV), PI-RADS, and biopsy pathology. A nomogram for prediction of adenocarcinoma was developed. The original C-index for the nomogram was 0.80 (95% confidence interval=0.74-0.89). The cut-off of the nomogram score for predicting PC was 50 (sensitivity=55.4%; specificity=91.9%). The receiver operating characteristic curve of the model analysis showed an area under the curve of 0.801. Conclusion: A nomogram was produced using age, DRE-corresponding MRI, AUR, PSAD, PSAV, PI-RADS, and biopsy pathology. A preoperative nomogram prediction of prostate adenocarcinoma can help the patient and his family understand the possibility of PC and assist them in their decision-making.The da Vinci robotic surgery system offers a platform for technical improvement and refinements, especially in roboticassisted radical prostatectomy (RARP) (1). Patients undergoing RARP for prostate cancer (PC) have been shown to have few perioperative complications, rapid functional recovery and lasting long-term oncological control (2, 3). Ten-year actuarial cancer-specific survival rates have reached 98.8% (3). Our robotic team has been mentored by Professor Ashutosh K. Tewari and Professor Vipul R. Patel since 2005. Complication rates decreased significantly to 4% after 600 cases of RARP (4). In a report on 230 patients that underwent RARP with bilateral neurovascular preservation, the continence rate was 98.3% and potency was 86.1% (5). The negative surgical margin rate was 77.0% overall, and in the patient cohort with a low, intermediate, and high risk it was 53.3%, 34.9%, and 11.8% (5). The long-term oncological outcome showed that the 8-year biochemical recurrence-free survival rate among low-risk patients was 95.5% (6). Expanded indications for 55 patients with preoperatively suspicious PC that underwent prophylactic RARP have been reported (7). That study was the first to report that no biopsyproven PC patients underwent prophylactic RARP with bilateral neurovascular bundle preservation, and that it is safe when performed b...

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Section: Discussionmentioning

confidence: 81%

Building a Nomogram for Prediction of Prostate Cancer in Patients With Preoperatively Suspected Prostate Cancer

Chang

Tung

et al. 2020

Anticancer Res

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“…Bo-Ren Wang et al. ( 31 ) performed 18- and 14-core transperineal biopsy randomly in repeat-biopsy patients and the cancer detection rate was 33.1% vs. 17.6% with an average prostate volume of 48.80 (BD0.37) vs. 45.65 (BD0.31). Ying-Hao Sun et al.…”

Section: Methodsmentioning

confidence: 99%

The Application of Biopsy Density in Transperineal Templated-Guided Biopsy Patients With PI-RADS<3

Zhu

Ding

et al. 2022

Front. Oncol.

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BackgroundIn patients with multiparameter magnetic resonance imaging (mpMRI) low-possibility but highly clinical suspicion of prostate cancer, the biopsy core is unclear. Our study aims to introduce the biopsy density (BD; the ratio of biopsy cores to prostate volume) and investigates the BD-predictive value of prostate cancer and clinically significant prostate cancer (csPCa) in PI-RADS<3 patients.MethodsPatients underwent transperineal template–guided prostate biopsy from 2012 to 2022. The inclusion criteria were PI-RADS<3 with a positive digital rectal examination or persistent PSA abnormalities. BD was defined as the ratio of the biopsy core to the prostate volume. Clinical data were collected, and we grouped the patients according to pathology results. Kruskal–Wallis test and chi-square test were used in measurement and enumeration data, respectively. Logistics regression was used to choose the factor associated with positive biospy and csPCa. The receiver operating characteristic (ROC) curve was used to evaluate the ability to predict csPCa.ResultsA total of 115 patients were included in our study. Biopsy was positive in 14 of 115 and the International Society of Urological Pathology grade groups 2–5 were in 7 of all the PCa patients. The BD was 0.38 (0.24-0.63) needles per milliliter. Binary logistics analysis suggested that PSAD and BD were correlated with positive biopsy. Meanwhile, BD and PSAD were associated with csPCa. The ROC curve illustrated that BD was a good parameter to predict csPCa (AUC=0.80, 95% CI: 0.69-0.91, p<0.05). The biopsy density combined with PSAD increased the prediction of csPCa (AUC=0.90, 95% CI: 0.85-0.97, p<0.05). The cut-off value of the BD was 0.42 according to the Youden index.ConclusionIn PI-RADS<3 patients, BD and PSAD are related to csPCa. A biopsy density of more than 0.42 needles per millimeter can increase the csPCa detection rate, which should be considered as an alternative biopsy method when we perform prostate biopsy in patients with PI-RADS<3.

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Comparison of 12, 14 And 16 Core Prostate Biopsies in Detecting Prostate Cancer in Patients: A Comparative Study

Sagır,

Ergun

2023

PBMJ

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Prostate cancer is one of the most common cancers in men and early detection is vital for effective treatment. The traditional method for diagnosis includes the use of prostate biopsies, where a needle is used to extract tissue samples from the prostate gland to be analyzed for cancerous cells. Objective: To evaluate and compare the diagnosis rates of benign, malign, and intermediate conditions in patients subjected to 12-core, 14-core, and 16-core biopsy techniques. Methods: The retrospective study was conducted on patients who visited our clinic and underwent prostate biopsy between the years 2013 and 2021. This study revolved around a careful comparative examination of the diagnostic outcomes from three different prostate biopsy techniques – 12-core, 14-core, and 16-core biopsy. Reults: The findings indicated that there were no notable variations in age or PSA levels among the groups. The 12-core group showed 44.8% benign, 17.8% malign, and 37.4% borderline cases. The 14-core group revealed 43.1% benign, 31.4% malign, and 25.5% borderline cases. The 16-core group had 32% benign, 42.7% malign, and 25.2% borderline cases (p<0.001). Conclusions: The 16-core biopsy yielded the highest malignancy detection.

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Comparison of cancer detection between 18- and 12-core prostate biopsy in Asian patients with prostate-specific antigen levels of 4–20 ng/mL

Abstract: In Asian patients with serum PSA levels between 4.0 and 20.0 ng/mL, 18-core biopsy was associated with superior clinical outcomes to those of 12-core biopsy for detecting prostate cancer.

Cited by 3 publications

References 30 publications

Building a Nomogram for Prediction of Prostate Cancer in Patients With Preoperatively Suspected Prostate Cancer

Building a Nomogram for Prediction of Prostate Cancer in Patients With Preoperatively Suspected Prostate Cancer

The Application of Biopsy Density in Transperineal Templated-Guided Biopsy Patients With PI-RADS<3

Comparison of 12, 14 And 16 Core Prostate Biopsies in Detecting Prostate Cancer in Patients: A Comparative Study

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