MRI of bladder cancer: Local and nodal staging Review


Authors: Caglic, I.; Panebianco, V.; Vargas, H. A.; Bura, V.; Woo, S.; Pecoraro, M.; Cipollari, S.; Sala, E.; Barrett, T.
Review Title: MRI of bladder cancer: Local and nodal staging
Abstract: Accurate staging of bladder cancer (BC) is critical, with local tumor staging directly influencing management decisions and affecting prognosis. However, clinical staging based on clinical examination, including cystoscopy and transurethral resection of bladder tumor (TURBT), often understages patients compared to final pathology at radical cystectomy and lymph node (LN) dissection, mainly due to underestimation of the depth of local invasion and the presence of LN metastasis. MRI has now become established as the modality of choice for the local staging of BC and can be additionally utilized for the assessment of regional LN involvement and tumor spread to the pelvic bones and upper urinary tract (UUT). The recent development of the Vesical Imaging-Reporting and Data System (VI-RADS) recommendations has led to further improvements in bladder MRI, enabling standardization of image acquisition and reporting. Multiparametric magnetic resonance imaging (mpMRI) incorporating morphological and functional imaging has been proven to further improve the accuracy of primary and recurrent tumor detection and local staging, and has shown promise in predicting tumor aggressiveness and monitoring response to therapy. These sequences can also be utilized to perform radiomics, which has shown encouraging initial results in predicting BC grade and local stage. In this article, the current state of evidence supporting MRI in local, regional, and distant staging in patients with BC is reviewed. Level of Evidence: 3. Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;52:649–667. © 2020 International Society for Magnetic Resonance in Medicine
Keywords: survival rate; clinical feature; cancer staging; nuclear magnetic resonance imaging; staging; diagnostic accuracy; sensitivity and specificity; tumor volume; bladder cancer; prediction; risk factor; image quality; clinical effectiveness; dynamic contrast-enhanced magnetic resonance imaging; diffusion weighted imaging; urography; anatomical variation; human; priority journal; article; multiparametric mri; radiomics; bladder cancer (bc)
Journal Title: Journal of Magnetic Resonance Imaging
Volume: 52
Issue: 3
ISSN: 1053-1807
Publisher: Wiley Blackwell  
Date Published: 2020-09-01
Start Page: 649
End Page: 667
Language: English
DOI: 10.1002/jmri.27090
PUBMED: 32112505
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 1 September 2020 -- Source: Scopus
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  1. Sungmin Woo
    62 Woo