Literature DB >> 12050501

Sextant prostate biopsies predict side and sextant site of extracapsular extension of prostate cancer.

Sean P Elliott1, Katsuto Shinohara, Susan L Logan, Peter R Carroll.   

Abstract

PURPOSE: We examined the ability of sextant prostate biopsies in combination with other preoperative data to predict side and sextant site of prostate cancer extracapsular extension in a large cohort of patients.
MATERIALS AND METHODS: We examined 223 contemporary cases of prostate cancer managed by radical prostatectomy. Using logistic regression analysis, we determined whether patient age, Gleason score, clinical stage, prostate specific antigen, number of positive sextants, biopsy location or percent of biopsy cores positive for cancer in a sextant site, side and overall gland was predictive of location of pathological extracapsular extension into periprostatic tissue.
RESULTS: Of 41 of the 223 (18%) patients with nonorgan confined disease extracapsular extension was localized to 45 sextant sites in 36 (apex 8, mid 22, base 15) while only side of extension was known in 5. In a multivariate analysis the best predictors of the risk of extracapsular extension on a side were average percent biopsy cores positive for cancer overall 15 or greater (odds ratio 8.4, p <0.0001) and average from 3 ipsilateral biopsies 15 or greater (odds ratio 7.4, p <0.0001). When used in combination these 2 factors yielded a model with a positive predictive value of 37% and a negative predictive value of 95%. Sextant specific percent biopsy cores positive for cancer was predictive of risk of extracapsular extension in a sextant (odds ratio 2.5, p = 0.020).
CONCLUSIONS: Our data demonstrate that average overall and per side percent biopsy cores positive for cancer is a significant predictor of risk of extracapsular extension on a side. Sextant specific percent biopsy cores positive for cancer is predictive of sextant site of extension. The high negative predictive value of the side specific model identifies patients who are good candidates for nerve sparing surgery.

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Mesh:

Year:  2002        PMID: 12050501

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  3 in total

Review 1.  Optimization of initial prostate biopsy in clinical practice: sampling, labeling and specimen processing.

Authors:  Marc A Bjurlin; H Ballentine Carter; Paul Schellhammer; Michael S Cookson; Leonard G Gomella; Dean Troyer; Thomas M Wheeler; Steven Schlossberg; David F Penson; Samir S Taneja
Journal:  J Urol       Date:  2013-02-26       Impact factor: 7.450

2.  pT3 Predictive Factors in Patients with a Gleason Score of 6 in Prostate Biopsies.

Authors:  Sung Jin Kim; Chang Myon Park; Ki Taek Seong; Sea Young Kim; Han Kwon Kim; Jong Yeon Park
Journal:  Korean J Urol       Date:  2011-09-28

3.  Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning.

Authors:  Ştefania L Moroianu; Indrani Bhattacharya; Arun Seetharaman; Wei Shao; Christian A Kunder; Avishkar Sharma; Pejman Ghanouni; Richard E Fan; Geoffrey A Sonn; Mirabela Rusu
Journal:  Cancers (Basel)       Date:  2022-06-07       Impact factor: 6.575

  3 in total

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