2014
DOI: 10.1111/bju.12880
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Does cumulative prostate cancer length (CCL) in prostate biopsies improve prediction of clinically insignificant cancer at radical prostatectomy in patients eligible for active surveillance?

Abstract: ObjectivesTo evaluate if cumulative prostate cancer length (CCL) on prostate needle biopsy divided by the number of biopsy cores (CCL/core) could improve prediction of insignificant cancer on radical prostatectomy (RP) in patients with prostate cancer eligible for active surveillance (AS). Patients and MethodsPatients diagnosed with prostate cancer on extended (≥10 cores) biopsy with an initial prostate-specific antigen (iPSA) level of <15 ng/mL, clinical stage (cT) ≤ 2a, and highest biopsy Gleason score 3 + 3… Show more

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Cited by 5 publications
(3 citation statements)
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References 29 publications
(58 reference statements)
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“…Greatest percentage of a given involved biopsy core length has also been associated with adverse clinical outcomes following prostatectomy [ 23 ]. Higher cumulative PCa core length relative to the number of biopsy cores sampled is associated with identification of higher volume PCa at the time of prostatectomy, though it is unclear if this is confounded by PV [ 24 ].…”
Section: Discussionmentioning
confidence: 99%
“…Greatest percentage of a given involved biopsy core length has also been associated with adverse clinical outcomes following prostatectomy [ 23 ]. Higher cumulative PCa core length relative to the number of biopsy cores sampled is associated with identification of higher volume PCa at the time of prostatectomy, though it is unclear if this is confounded by PV [ 24 ].…”
Section: Discussionmentioning
confidence: 99%
“…First, the results of our univariable analyses show that detailed biopsy characteristics, such as the maximum percentage of single core involvement with highest-grade PCa, which represents a predictor of LNI. Several studies also found out the association between variables that can be considered as a proxy of pathologic tumor volume and the risk of adverse prognosis in PCa patients ( 20 , 21 ). Meanwhile, after the inclusion of this covariates, the multivariable model 2 shows better improved the accuracy in predicting LNI compared with the base model including PSA, clinical stage, biopsy gleason grade group ( Table 1 , modle 2 vs modle 1).…”
Section: Discussionmentioning
confidence: 99%
“…The ability of clinical parameters to predict the presence of indolent disease at final pathology has been widely investigated: age, PSA, PSA density, number of positive core, number of core taken, percentage of biopsy core involved, percentage of grade 4 in the core biopsy, cumulative cancer length and results of previously biopsy were all significant predictors in different studies. 3,4,11,14,[17][18][19] Among the 2494 patients enrolled up to May 2012 in the PRIAS study, PSA density, the number of positive cores and the total number of cores at baseline were all independent predictors of likelihood of being switched to active treatment during follow-up. 2 Chen et al 17 showed that the cumulative cancer length on prostate needle biopsy could predict the presence of indolent disease after radical prostatectomy.…”
Section: Discussionmentioning
confidence: 99%