کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2125711 1547272 2007 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Tumour volume and high grade tumour volume are the best predictors of pathologic stage and biochemical recurrence after radical prostatectomy
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
پیش نمایش صفحه اول مقاله
Tumour volume and high grade tumour volume are the best predictors of pathologic stage and biochemical recurrence after radical prostatectomy
چکیده انگلیسی

IntroductionOur goal was to examine to what extent tumour volume (TV) and percentage of high grade tumour volume (%HGTV) affect the rate of positive surgical margins and the rate of biochemical recurrence after radical prostatectomy.Materials and methodsTV and %HGTV were routinely planimetrically quantified in a cohort of 780 consecutive patients. Mean follow-up was 46.7 months. Multivariable regression models addressed two separate endpoints: positive surgical margins and biochemical recurrence. The increase in model predictive accuracy related to the addition of TV and %HGTV to radical prostatectomy stage and grade was assessed, after 200 bootstrap resamples to reduce overfit bias.ResultsIn multivariable logistic regression models addressing positive surgical margins rate, predictive accuracy increased by 1.9% (p<0.001)(p<0.001) when TV was added to other covariates. No further increment was noted when %HGTV was added (p=0.3)(p=0.3). In multivariable Cox regression models addressing biochemical recurrence, accuracy increased by 0.6% (p=0.002)(p=0.002) when TV was added and an additional increase of 0.7% was recorded when %HGTV (p<0.001)(p<0.001) was added.ConclusionTumour bulk reflected by TV affects local cancer control rate, which is reflected in the rate of positive surgical margins. Conversely, high grade cancer determines the rate of biochemical recurrence. These two variables represent the most powerful predictors of cancer control in men treated for localised prostate cancer. Moreover, they increase the ability of established predictors to predict the outcomes of interest. In consequence, they warrant consideration in future predictive and prognostic tools.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Cancer - Volume 43, Issue 3, February 2007, Pages 536–543
نویسندگان
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