OBJECTIVES: Our goal is to determine the ability of multi-parametric magnetic resonance imaging (mpMRI) to differentiate muscle invasive @entity150 (MIBC) from non-muscle invasive @entity150 (NMIBC). METHODS: @entity1 underwent mpMRI before @entity5 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. RESULTS: A total of 82 @entity5 were analysed. Ninety-six percent of T1-labeled @entity5 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. CONCLUSIONS: MpMRI with DWI and DTI appears a reliable staging tool for @entity150 . 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.

An evaluation of morphological and functional multi-parametric MRI sequences in classifying non-muscle and muscle invasive XXXX .

@entity1 :: ('9606', 'Species') :: ['Patients'] @entity150 :: ('MESH:D001749', 'Disease') :: ['bladder cancer'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumour', 'tumours']
@entity150 :: (MESH:D001749,Disease) :: ['bladder cancer']
