A Study on the Evaluation of the Diagnostic Accuracy of Computed Tomography in the Diagnosis of Urinary Bladder Mass
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2018, Vol 17, Issue 6
Abstract
Objectives: The goal of the study is to evaluate the diagnostic accuracy of computed tomography in the diagnosis of urinary bladder mass. Methodology; This cross-sectional study was conducted in the department of Radiology & Imaging and department of Urology of Shear-E-Bangla Medical Collage & Hospital(SBMCH), Barisal and LAB AID limited(diagnostic), Barisal during the period from July 2017 to march 2018, enrolling 50 patients of 25 to 75 years of age range who are referred by Urology department of SBMCH, Barisal & LAB AID limited(diagnostic), Barisal , as clinically suspected cases of urinary bladder mass for CT scan of whole abdomen, during the period of July 2017 to march 2018. Result: In this study, mean age was 57.84 ± 14.67 'mean ± SD) years. Highest incidence of bladder mass, 42.09% was found in above 59 years age group. It was observed that 38 were male (76%) and 12 were female (24%). The most common symptom associated with bladder mass was haematuria which was observed in all study subjects (100%). Among 50 cases, 47 (94%) masses were neoplastic and rest 3 (6%) was inflammatory as diagnosed by CT scan. Among the 47 neoplastic masses, 43 were malignant and 4 were benign lesion. Commonest CT scan diagnosis was transitional cell carcinoma (TCC) (75.84%). Squamous cell carcinoma prevailed in 6.69%, Adenocarcinoma in 6.69% and Leiomyoma and chronic cystitis were 5.39% and 5.39% respectively. Considering histopatliological diagnosis as gold standard test sensitivity, specificity, PPV, NPV and accuracy of CT scan in diagnosis of malignant bladder mass were 95.50%, 83.30%, 98.47%, 62.6% and 93.98% respectively. Conclusion: In most of the cases. Computed Tomography findings of the present study correlated well with histopathological findings. It can therefore be concluded that, Computed Tomography is a useful modality in the diagnosis of different type of urinary bladder masses.
Authors and Affiliations
Dr. Smarajit Kumar Mondal, Dr. Sushanta Kumar Sarkar, Dr. Syed Maksumul Huq, Dr. Pravath Chandra Biswas, Dr. Md. Mujibur Rahman
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