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Published on: October 16, 2013
Native T1 mapping of the terminal ileum in Crohn's disease: an exploratory study
Giovanni Grassi1, Gian Luca Chabert1, Antonella Balestrieri1
1Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), Cagliari, Italy.
Abstract:
BackgroundNative T1 mapping can quantitatively depict small variations in tissue T1 values.PurposeTo evaluate T1 value distribution and differences within affected ileum, in active Crohn's disease (CD) patients, using native T1-maps derived from axial Modified Look-Locker inversion recovery (MOLLI) sequences.Material and MethodsMOLLI sequences were added to the magnetic resonance enterography (MRE) standard protocol. The mid-point of the ileum with the most significant wall thickening was selected. The T1 values were first measured on a single region of interest (ROI), then divided into two, and further into six equal segments (mesenteric: posterior [P], medial posterior [MP], lateral posterior [LP]; anti-mesenteric: anterior [A], medial anterior [MA], lateral anterior [LA]). The Wilcoxon signed-rank test was used to compare T1 values.ResultsIn total, 40 patients with active CD (sMARIA ≥2) were retrospectively included (22 men, 18 women; mean age = 51.1 ± 14.3 years). The cohort was stratified into two groups: mild-to-moderate (wall thickness = 4-8 mm, n = 20) and moderate-to-severe (>8 mm, n = 20). In the mild-to-moderate group, significant differences were found in anti-mesenteric side segments, between MA vs. A (z = 2.606; p = 0.008) and MA vs. LA (z = 2.014; p = 0.038); and comparing opposite segments, between P vs. A (z = 2.014; p = 0.038); P vs. LA (z = 2.132; p = 0.028) and MP vs. A segments (z = 2.014; p = 0.038). In the moderate-to-severe group, significant differences were found between A vs. LP (z = 2.014; p = 0.038) and LA vs. LP (z = 2.606; p = 0.008).ConclusionNative T1 maps can display heterogeneous T1 value distribution within active severe CD ileal segments, particularly in mild-to-moderate wall thickness patients. The T1 value could be a promising imaging biomarker for patient phenotyping.
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