Evaluation of Staging Accuracy of Dynamic MRI in Urinary Bladder Cancer | ||||
| The Egyptian Journal of Hospital Medicine | ||||
| Article 21, Volume 72, Issue 1, July 2018, Page 3806-3811 PDF (318.35 K) | ||||
| Document Type: Original Article | ||||
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| Authors | ||||
Hany Mustafa Abdallah; Mohamed Samir Sayed; Ahmed Mohsen Ibrahim Saif 
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| Department of Urology, Faculty of Medicine, Ain Shams University | ||||
| Abstract | ||||
| Background: Urinary Bladder cancer is the second most common neoplasm of the urinary tract worldwide. It accounts for 6-8 % of malignancy in men and 2-3% in women with the highest incidence rates in North American and Europe as well as areas with endemic schistosomiasias in Africa and the middle east. Purpose: To show the staging accuracy of Dynamic MRI in urinary bladder carcinoma. Patients and Methods: This is a Prospective randomized clinical study, study setting: Radiology and Urology Departments, Faculty of Medicine, Ain Shams University, study period: 6 months from August 2017 till February 2018. Results: This study conducted on 20 patients (17 male and 3 females) with age ranged from 42 – 78 years and with mean±SD of 55.95±9.01 years. 4/20 patients (20.0%) were presented to TURT procedure while 16/20 patients (80.0%) were presented to radical cystectomy. Conclusion: In this study, despite small differences between the results of the MRI and pathology, Dynamic MRI was found to be an accurate modality for assessment of tumor staging, and its routine use in bladder cancer staging can lead to significant improvement of diagnostic accuracy of the staging and treatment planning and hence improvement of the prognosis of the patients and their survival rates. Furthermore, the use of Dynamic MRI systems with higher magnetic field and imaging techniques standardized with higher resolution could further enhance the accuracy of the method. Further studies with larger sample size may also help to validate the results of this study. | ||||
| Keywords | ||||
| Keywords: Dynamic MRI; Urinary Bladder Cancer; Conventional Computed Tomography | ||||
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