Role of multiparametric magnetic resonance imaging in the diagnosis and staging of urinary bladder cancer
Abstract Objectives To assess the role of multiparametric magnetic resonance imaging (mp-MRI) in the diagnosis and staging of urinary bladder cancer (BC). Materials and methods Fifty patients diagnosed with bladder masses underwent mp-MRI study. The results of 3 image sets were analyzed and compared...
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Published in: | Current urology Vol. 16; no. 3; pp. 127 - 135 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Lippincott Williams & Wilkins
01-09-2022
Wolters Kluwer Health |
Subjects: | |
Online Access: | Get full text |
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Summary: | Abstract Objectives To assess the role of multiparametric magnetic resonance imaging (mp-MRI) in the diagnosis and staging of urinary bladder cancer (BC). Materials and methods Fifty patients diagnosed with bladder masses underwent mp-MRI study. The results of 3 image sets were analyzed and compared with the histopathological results as a reference standard: T2-weighted image (T2WI) plus dynamic contrast-enhanced (DCE), T2WI plus diffusion-weighted images (DWI), and mp-MRI, including T2WI plus DWI and DCE. The diagnostic accuracy of mp-MRI was evaluated using receiver operating characteristic curve analysis. Results The accuracy of T2WI plus DCE for detecting muscle invasion of BC was 79.5% with a fair agreement with histopathological examination ( κ = 0.59); this percentage increased up to 88.6% using T2WI plus DWI, with good agreement with histopathological examination ( κ = 0.74), whereas mp-MRI had the highest overall accuracy (95.4%) and excellent agreement with histopathological data ( κ = 0.83). Multiparametric MRI can differentiate between low- and high-grade bladder tumors with a high sensitivity and specificity of 93.3% and 98.3%, respectively. Conclusions Multiparametric MRI is an acceptable method for the preoperative detection and accurate staging of BC, with reasonable accuracy in differentiating between low- and high-grade BC. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1661-7649 1661-7657 |
DOI: | 10.1097/CU9.0000000000000128 |