An evaluation of morphological and functional multi-parametric MRI sequences in classifying non-muscle and muscle invasive bladder cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02-08

AUTHORS

Valeria Panebianco, Ettore De Berardinis, Giovanni Barchetti, Giuseppe Simone, Constantino Leonardo, Marcello Domenico Grompone, Maurizio Del Monte, Davide Carano, Michele Gallucci, James Catto, Carlo Catalano

ABSTRACT

ObjectivesOur goal is to determine the ability of multi-parametric magnetic resonance imaging (mpMRI) to differentiate muscle invasive bladder cancer (MIBC) from non-muscle invasive bladder cancer (NMIBC).MethodsPatients underwent mpMRI before tumour resection. Four MRI sets, i.e. T2-weighted (T2W) + perfusion-weighted imaging (PWI), T2W plus diffusion-weighted imaging (DWI), T2W + DWI + PWI, and T2W + DWI + PWI + dif-fusion tensor imaging (DTI) were interpreted qualitatively by two radiologists, blinded to histology results. PWI, DWI and DTI were also analysed quantitatively. Accuracy was determined using histopathology as the reference standard.ResultsA total of 82 tumours were analysed. Ninety-six percent of T1-labeled tumours by the T2W + DWI + PWI image set were confirmed to be NMIBC at histopathology. Overall accuracy of the complete mpMRI protocol was 94% in differentiating NMIBC from MIBC. PWI, DWI and DTI quantitative parameters were shown to be significantly different in cancerous versus non-cancerous areas within the bladder wall in T2-labelled lesions.ConclusionsMpMRI with DWI and DTI appears a reliable staging tool for bladder cancer. If our data are validated, then mpMRI could precede cystoscopic resection to allow a faster recognition of MIBC and accelerated treatment pathways.Key Points• A critical step in BCa staging is to differentiate NMIBC from MIBC.• Morphological and functional sequences are reliable techniques in differentiating NMIBC from MIBC.• Diffusion tensor imaging could be an additional tool in BCa staging. More... »

PAGES

3759-3766

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-017-4758-3

DOI

http://dx.doi.org/10.1007/s00330-017-4758-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083736100

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28181054


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