Magnetic resonance imaging-guided prostate biopsydA review of literature

Objective:Multiparametric magnetic resonance imaging(MP-MRI)helps to identify lesion of prostate with reasonable accuracy.We aim to describe the various uses of MP-MRI for prostate biopsy comparing different techniques of MP-MRI guided biopsy.Materials and methods:A literature search was performed for“multiparametric MRI”,“MRI fusion biopsy”,“MRI guided biopsy”,“prostate biopsy”,“MRI cognitive biopsy”,“MRI fusion biopsy systems”,“prostate biopsy”and“cost analysis”.The search operation was performed using the operator“OR”and“AND”with the above key words.All relevant systematic reviews,original articles,case series,and case reports were selected for this review.Results:The sensitivity of MRI targeted biopsy(MRI-TB)is between 91%e93%,and the specificity is between 36%e41%in various studies.It also has a high negative predictive value(NPV)of 89%e92%and a positive predictive value(PPV)of 51%e52%.The yield of MRI fusion biopsy(MRI-FB)is similar,if not superior to MR cognitive biopsy.In-bore MRI-TB had better detection rates compared to MR cognitive biopsy,but were similar to MR fusion biopsy.Conclusions:The use of MRI guidance in prostate biopsy is inevitable,subject to availability,cost,and experience.Any one of the three modalities(i.e.MRI cognitive,MRI fusion and MRI in-bore approach)can be used.MRI-FB has a fine balance with regards to accuracy,practicality and affordability.

Overall rate, location, and predictive factors for positive surgical margins after robot-assisted laparoscopic radical prostatectomy for high-risk prostate cancer

We report the overall rate, locations and predictive factors of positive surgical margins （PSMs） in 271 patients with high-risk prostate cancer. Between April 2008 and October 2011, we prospectively collected data from patients classified as D＇Amico high-risk who underwent robot-assisted laparoscopic radical prostatectomy. Overall rate and location of PSMs were reported. Stepwise logistic regression models were fitted to assess predictive factors of PSM. The overall rate of PSMs was 25.1% （68 of 271 patients）. Of these PSM, 38.2% （26 of 68） were posterolateral （PL）, 26.5% （18 of 68） multifocal, 16.2% （11 of 68） in the apex, 14.7% （10 of 68） in the bladder neck, and 4.4% （3/68） in other locations. The PSM rate of patients with pathological stage pT2 was 8.6% （12 of 140）, 26.6% （17 of 64） of pT3a, 53.3% （32/60） of pT3b, and 100% （7 of 7） of pT4. In a logistic regression model including pre-, intra-, and post-operative parameters, body mass index （odds ratio [OR]. 1.09; 95% confidence interval [CI]： 1.01-1.19, P = 0.029）, pathological stage （pT3b or higher vs pT2; OR： 5.14; 95% Ch 1.92-13.78; P = 0.001） and percentage of the tumor （OR： 46.71; 95% CI： 6.37-342.57; P 〈 0.001） were independent predictive factors for PSMs. The most common location of PSMs in patients at high-risk was the PL aspect, which reflects the reported tumor aggressiveness. The only significant predictive factors of PSMs were pathological outcomes, such as percentage of the tumor in the specimen and pathological stage.