Srigouri Yalamanchili1, Michael Macari1,
Rafael Rivera1, Danny Kim1, Alec Megibow1,
James Babb1, Joseph Levy1, Kerry Zabriskie1,
Sooah Kim2
1New York University; 2New
York University, New York, NY, United States
Secific
findings at MR imaging- mural T2 high signal intensity and contrast
enhancement patterns- have been proposed as accurate markers of disease
activity. The purpose of our study is to assess the performance using
conventional non-contrast MR imaging sequences as a tool to localize and
predict disease activity in Crohns disease in comparison to post-contrast
images. Thirty patients referred for MR enterography were evaluated at 1.5 T
using steady state free precession, single shot fast spin echo, fat
suppressed T2, and pre- and post contrast enhanced T1-weighted sequences.
Images were reviewed by two radiologists in two separate sessions; the
readers interpreted non-contrast images of MRI during the first session and
whole images including post-contrast sequences during the second session. The
readers evaluated the presence or absence of disease in regard to the
presence of active inflammation using a six-point grading system (0, No
evidence of disease; 1, definite absence of active inflammation; 2, probable
absence of active inflammation; 3, equivocal; 4, probable presence of active
inflammation; and 5, definite presence of active inflammation). Reference
standard was constructed by combining surgical, endoscopy, physical, and all
available imaging findings. There were 34 bowel segments with active
inflammation on reference standard in 18 subjects (proximal ileum, n=1,
distal ileum, n=4; terminal ileum, n=16; cecum, n=6; ascending colon, n=1;
rectosigmoid, n=2). Inter-reader agreement was significantly higher for whole
imaging including post-contrast images relative to non-contrast images (Kappa
0.31 for non-contrast and 0.41 for whole images). Although there is no
significant difference localizing abnormal bowel segment involved with
Crohns disease using non-contrast images, inter-reader agreement,
sensitivity, and accuracy are significantly higher in the assessment of
active disease adding post-contrast images to non-contrast images for MRI
interpretation.
Keywords