Predictive factors of muscle invasiveness in patients undergoing TURBT
Journal Title: Scholars Journal of Applied Medical Sciences - Year 2017, Vol 5, Issue 4
Abstract
Abstract: Preoperative diagnosis of muscle invasiveness in bladder tumor patients can reduce the time interval between diagnosis of invasive tumor and definitive management, which may translate into improve quality of life. This studywas aimed at identifying whether there is any factor that can predict muscle invasiveness preoperatively so that a deep muscle biopsy can be taken definitely during initial operation without the need for a restage TURBT.From August 2014 to July 2016, the preoperative and intra-operative details of tumor characteristics of all patients undergoing TURBT were collected and post operatively, the biopsy reports were also collected. Of the 74 patients whose biopsy reports came to be muscle invasive along with another 74 patients with non-muscle invasive tumor taken randomly, all records were taken for the study. For statistical analysis data were entered into a Microsoft excel spreadsheet and then calculated by SPSS 20.0.1 and Student’s independent sample’s t-test was applied to compare normally distributed numerical variables between groups. Unpaired proportions were compared by Chi-square test or Fischer’s exact test, as appropriate. Under univariate analysis significant risk of Muscle Invasive groups was found 4.3636[OR-4.3636 (3.0235, 6.2977); p<0.0001] times more for positive hydroureteronephrosis,2.0571 [OR-2.0571 (1.7391, 2.4333); p=0.0426] times more for positive calcification, 4.0833 [OR-4.0833 (2.8842, 5.7810); p<0.0001] times more for positive sessile tumors, 2.2333 [OR-2.2333 (1.8505, 2.6954); p<0.0001] times more for positive multiple tumors and 2.6818 [OR-2.6818 (2.1223, 3.3888); p<0.0001] times more for large size (>9.5 cm) tumors. According to Linear Regression analysis significant risk was found in sessile tumor, positive hydroureternephrosis, and multiple number and muscle invasive groups.The presence of hydroureternephrosis, large size tumor, multiple tumors, sessile tumors were significantly associated with muscle invasive disease. This may help in predicting muscle invasiveness in bladder tumor patients. Keywords:Bladder cancer, muscle invasive, predictive factors
Authors and Affiliations
Dilip Kumar Pal, Dipak Kumar Bera, Debarshi Jana
Keywords
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