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Evaluation of Staging Accuracy of Dynamic MRI in Urinary Bladder Cancer

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Last updated: 03 Jan 2025

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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

Authors

First Name

Hany Mustafa

Last Name

Abdallah

MiddleName

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Affiliation

Department of Urology, Faculty of Medicine, Ain Shams University

Email

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City

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Orcid

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First Name

Mohamed Samir

Last Name

Sayed

MiddleName

-

Affiliation

Department of Urology, Faculty of Medicine, Ain Shams University

Email

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City

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Orcid

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First Name

Ahmed Mohsen

Last Name

Ibrahim Saif

MiddleName

-

Affiliation

Department of Urology, Faculty of Medicine, Ain Shams University

Email

ahmmohsen2000@gmail.com

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Orcid

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Volume

72

Article Issue

1

Related Issue

1597

Issue Date

2018-07-01

Receive Date

2018-06-27

Publish Date

2018-07-01

Page Start

3,806

Page End

3,811

Print ISSN

1687-2002

Online ISSN

2090-7125

Article File

EJHM_Volume 72_Issue 1_Pages 3806-3811.pdf

PDF . 326.0kB

Link

https://ejhm.journals.ekb.eg/article_8246.html

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https://ejhm.journals.ekb.eg/service?article_code=8246

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21

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Original Article

Type Code

606

Publication Type

Journal

Publication Title

The Egyptian Journal of Hospital Medicine

Publication Link

https://ejhm.journals.ekb.eg/

MainTitle

Evaluation of Staging Accuracy of Dynamic MRI in Urinary Bladder Cancer

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Article

Created At

22 Jan 2023