Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Optimizing biopsy strategy for prostate cancer

View through CrossRef
Overdiagnosis and overtreatment are well known problems in prostate cancer (PCa). The transrectal ultrasound (TRUS) Guided biopsy (GB) as a current gold standard investigation has a low positive detection rate resulting in unnecessary biopsies. The choice of optimal biopsy strategy needs to be defined. Therefore, we undertook a Bayesian network meta analysis (NMA) and Bayesian prediction in the hierarchical summary receiver operating characteristic (HSROC) model to present a method for optimizing biopsy strategy in PCa. Twenty eight relevant studies were retrieved through online databases of EMBASE, MEDLINE, and CENTRAL up to February 2020. Markov chain Monte Carlo simulation and Surface Under the Cumulative RAnking curve were used to calculate the rank probability using odds ratio with 95% credible interval. HSROC model was used to formulate the predicted true sensitivity and specificity of each biopsy strategy. Six different PCa biopsy strategies including transrectal ultrasound GB (TRUS GB), fusion GB (FUS GB), fusion + transrectal ultrasound GB (FUS + TRUS GB), magnetic resonance imaging GB (MRI GB), transperineal ultrasound GB (TPUS GB), and contrast enhanced ultrasound GB were analyzed in this study with a total of 7584 patients. These strategies were analyzed on five outcomes including detection rate of overall PCa, clinically significant PCa, insignificant PCa, complication rate, and HSROC. The rank probability showed that the overall PCa detection rate was higher in FUS + TRUS GB, MRI GB, and FUS GB. In terms of clinically significant PCa detection, FUS + TRUS GB and FUS GB had a relatively higher clinically significant PCa detection rate, whereas TRUS GB had a relatively lower rate for clinically significant PCa detection rate. MRI GB (91% and 81%) and FUS GB (82% and 83%) had the highest predicted true sensitivity and specificity, respectively, whereas TRUS GB (62% and 83%) had a lower predicted true sensitivity and specificity. MRI GB, FUS GB, and FUS + TRUS GB were associated with lower complication rate, whereas TPUS GB and TRUS GB were more associated with higher complication rate. This NMA and HSROC model highlight the important finding that FUS + TRUS GB, FUS GB, and MRI GB were superior compared with other strategies to avoid the overdiagnosis and overtreatment of PCa. FUS GB, MRI GB, and FUS + TRUS GB had lower complication rates. These results may assist in shared decision making between patients, carers, and their surgeons.
Title: Optimizing biopsy strategy for prostate cancer
Description:
Overdiagnosis and overtreatment are well known problems in prostate cancer (PCa).
The transrectal ultrasound (TRUS) Guided biopsy (GB) as a current gold standard investigation has a low positive detection rate resulting in unnecessary biopsies.
The choice of optimal biopsy strategy needs to be defined.
Therefore, we undertook a Bayesian network meta analysis (NMA) and Bayesian prediction in the hierarchical summary receiver operating characteristic (HSROC) model to present a method for optimizing biopsy strategy in PCa.
Twenty eight relevant studies were retrieved through online databases of EMBASE, MEDLINE, and CENTRAL up to February 2020.
Markov chain Monte Carlo simulation and Surface Under the Cumulative RAnking curve were used to calculate the rank probability using odds ratio with 95% credible interval.
HSROC model was used to formulate the predicted true sensitivity and specificity of each biopsy strategy.
Six different PCa biopsy strategies including transrectal ultrasound GB (TRUS GB), fusion GB (FUS GB), fusion + transrectal ultrasound GB (FUS + TRUS GB), magnetic resonance imaging GB (MRI GB), transperineal ultrasound GB (TPUS GB), and contrast enhanced ultrasound GB were analyzed in this study with a total of 7584 patients.
These strategies were analyzed on five outcomes including detection rate of overall PCa, clinically significant PCa, insignificant PCa, complication rate, and HSROC.
The rank probability showed that the overall PCa detection rate was higher in FUS + TRUS GB, MRI GB, and FUS GB.
In terms of clinically significant PCa detection, FUS + TRUS GB and FUS GB had a relatively higher clinically significant PCa detection rate, whereas TRUS GB had a relatively lower rate for clinically significant PCa detection rate.
MRI GB (91% and 81%) and FUS GB (82% and 83%) had the highest predicted true sensitivity and specificity, respectively, whereas TRUS GB (62% and 83%) had a lower predicted true sensitivity and specificity.
MRI GB, FUS GB, and FUS + TRUS GB were associated with lower complication rate, whereas TPUS GB and TRUS GB were more associated with higher complication rate.
This NMA and HSROC model highlight the important finding that FUS + TRUS GB, FUS GB, and MRI GB were superior compared with other strategies to avoid the overdiagnosis and overtreatment of PCa.
FUS GB, MRI GB, and FUS + TRUS GB had lower complication rates.
These results may assist in shared decision making between patients, carers, and their surgeons.

Related Results

Abstract 4602: Clinicopathological and genetic features of prostate cancer in Algerian patients: First report
Abstract 4602: Clinicopathological and genetic features of prostate cancer in Algerian patients: First report
Abstract Background: Prostate cancer is the second most frequent malignancy (after lung cancer) in men worldwide. It is the third most common cancer in men in Algeri...
Grade Group 1 Prostate Cancer Outcome by Biopsy Grade and Risk Group
Grade Group 1 Prostate Cancer Outcome by Biopsy Grade and Risk Group
ImportanceAdvocates for removing the cancer label from grade group 1 (GG1) prostate cancer detected on biopsy primarily base their argument on the observation that when only GG1 is...
The 20-core prostate biopsy as an initial strategy: impact on the detection of prostatic cancer
The 20-core prostate biopsy as an initial strategy: impact on the detection of prostatic cancer
Introduction: To increase the detection rate of prostate cancer inrecent years, we examined the increase in the number of corestaken at initial prostate biopsy. We hypothesized tha...
Abstract 5758: Deletions of olfactomedin 4 gene is associated with progression of prostate cancer
Abstract 5758: Deletions of olfactomedin 4 gene is associated with progression of prostate cancer
Abstract The human olfactomedin 4 gene (OLFM4) encodes an olfactomedin-related glycoprotein, which our group first cloned and characterized in myeloid cells and mapp...
Abstract 1568: The role of CCL2 CCL17 CCL22-CCR4 axis in prostate cancer metastasis
Abstract 1568: The role of CCL2 CCL17 CCL22-CCR4 axis in prostate cancer metastasis
Abstract BACKGROUND: Multiple steps and factors are involved in prostate carcinogenesis and tumor progression. The early studies have found that tumor-associated mac...
Analysis of the spatial distribution and clinical features of prostate cancer in transperineal prostate biopsy
Analysis of the spatial distribution and clinical features of prostate cancer in transperineal prostate biopsy
Abstract Background Recently, most studies on the spatial distribution of the prostate cancer are based on the samples confirmed by transrectal prostate biopsy (TRBx), whic...
Transperineal Prostate Biopsy Targeted by Magnetic Resonance Imaging Cognitive Fusion
Transperineal Prostate Biopsy Targeted by Magnetic Resonance Imaging Cognitive Fusion
Prostate cancer is among the most frequently diagnosed cancers and a leading cause of cancer-related death in men. Currently, the most reliable and widely used imaging test for pro...
Cost-effectiveness of MRI targeted biopsy strategies for diagnosing prostate cancer in Singapore
Cost-effectiveness of MRI targeted biopsy strategies for diagnosing prostate cancer in Singapore
AbstractBackgroundTo evaluate the cost-effectiveness of six diagnostic strategies involving magnetic resonance imaging (MRI) targeted biopsy for diagnosing prostate cancer in initi...

Back to Top