OBJECTIVE: In a small pilot study, we assessed whether early-phase dynamic contrast-enhanced MDCT can be used to detect @entity150 and whether thin reconstruction improves the detection rate. SUBJECTS AND METHODS: Thirty-six @entity1 (30 with 59 cystoscopy-proven @entity150 and six with normal bladders) underwent dynamic contrast-enhanced MDCT of the pelvis and abdomen. Images were obtained from the symphysis pubis to the diaphragm 70 seconds after injection of 100 mL of contrast medium. McNemar test was used to compare sensitivity per @entity1 , segment, and @entity5 and specificity per @entity1 and segment for each of three reconstruction methods: 5-mm sections with no overlap (i.e., 5-mm axial images), 2.5-mm sections with 1.25-mm overlap (i.e., thin-section axial images), and 2.5-mm sections with 1.25-mm overlap and multiplanar reformation (MPR) (i.e., thin-section axial images with MPR). RESULTS: MDCT with a combination of thin, overlapped sections and MPR depicted all but one of 47 @entity150 larger than 5 mm but only five of 12 @entity5 5 mm or smaller. There were no false-positive findings. Per- @entity5 sensitivity was significantly better with thin-section images with MPR (90%) and thin-section images alone (86%) than with 5-mm axial images (80%) (p < 0.05). Per-segment sensitivity was significantly better with thin-section images with MPR (95%) and thin-section axial images alone (87%) than with 5-mm axial images (79%) (p < 0.05). Per- @entity1 sensitivity and per- @entity1 and per-segment specificity did not differ with the three methods. CONCLUSION: Dynamic contrast-enhanced MDCT of the pelvis shows promise for the detection of @entity150 . Use of thin-section images with MPR and thin-section axial images alone had a significantly better rate of detection of @entity150 than use of 5-mm axial images.

Detection of XXXX with dynamic contrast-enhanced MDCT.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity150 :: ('MESH:D001749', 'Disease') :: ['bladder cancers', 'bladder tumors'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'tumors']
@entity150 :: (MESH:D001749,Disease) :: ['bladder tumors']
