Emre Altinmakas1, Himanshu Sharma2, Octavia Bane1,3, Ghadi Abboud1, Alex Menys4, Yansheng Hao5, Jean-Frederic Colombel6, Noam Harpaz5, and Bachir Taouli1,3
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Icahn School of Medicine at Mount Sinai, NY, NY, United States, 3BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Motilent Ltd, London, United Kingdom, 5Department of Pathology, Icahn School of Medicine at Mount Sinai, NY, NY, United States, 6Department of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
Synopsis
Keywords: Digestive, Quantitative Imaging, Crohn's disease; stricture; mpMRI;
Small bowel stricture (SBS) is the one of the
most common complications of Crohn’s Disease (CD) and it usually requires
surgical management. Imaging diagnosis and characterization of SBS is essential
for proper patient management, however this may be challenging with
conventional MRI techniques. In current study, we investigate the utility of
advance MRI techniques namely multiparametric MRI (mpMRI) including diffusion, perfusion, and motility in
the characterization and tissue composition in CD-related SBS. Our preliminary
results suggest that mpMRI
parameters are promising tools to characterize SBS and may be helpful in the
stratification of patients for medical treatment vs surgery.
Introduction
Crohn’s disease (CD) is a chronic inflammatory disease characterized by
periods of symptomatic relapse and remission. Approximately half of CD patients
have intestinal complications, such as strictures or fistulas, within 20 years
after diagnosis and most of the patients with stricture will require at least
one surgery during their lifetime1. Imaging diagnosis and
characterization of small bowel strictures (SBS) is challenging. Here, we used
multiparametric MRI (mpMRI) including diffusion, perfusion, and motility for
the characterization and tissue composition in CD-related SBS. A secondary aim
was to assess the value of the same parameters for the differentiation between
SBS and inflamed segments without SBS.Methods
This was a prospective
single-center study. 23 patients (F/M: 10/13; mean {range} age: 34y {18-73y})
with CD and inflammation without SBS (n=8) or surgically proven SBS (n=15) who
underwent pre-surgical (for SBS cases) MR enterography between October 2019 and
November 2020 were included (Figure 1). Mean
(range) interval between MR enterography and surgery was 32 days (2-112 days).
Imaging was performed on 1.5T (Aera, Siemens) and 3T (Skyra, Siemens) scanners.
Patients were scanned in fasting conditions, after bowel distension with a
mannitol/sorbitol mixture (Breeza, Beekley Medical). Peristalsis was reduced by
administration of glucagon (1mg IM). MR enterography protocol included
intravoxel incoherent diffusion weighted imaging (IVIM-DWI), dynamic contrast
enhanced MRI (DCE-MRI), and a motility sensitive sequence. IVIM-DWI consisted
of an axial fat suppressed, single-shot, SE-EPI sequence with bipolar diffusion
gradients and 8 b-values (0,25,50,75,100,200,400,800 s/m2)2. DCE-MRI
acquisition consisted of an axial fat-suppressed 3D T1-weighted with temporal
resolution of 3s/volume, after IV administration of gadobutrol (Gadavist) 0.1
mmol/Kg @ 2 ml/s, followed by a 30 ml saline flush2. Motility
sensitive CINE MRI sequence was a single-slice, coronal 2D TrueFISP acquisition
(20 frames, 1s/frame), acquired through the area of involvement, before
glucagon administration3. Regions of interests (ROIs) were drawn on
the involved SB segments as well as normal-looking remote SB on DWI, DCE, and
motility maps. On DCE-MRI, two additional ROIs were placed in aorta to
determine arterial input function (AIF) and in psoas muscle to be used as the
reference tissue for AIF correction3 (Figure 2). IVIM-DWI parameters
true diffusion coefficient (D), perfusion fraction (PF), pseudodiffusion
coefficient (D*) were obtained by Bayesian fit, and ADC was calculated with
monoexponential fit over 3 b-values. Extended Tofts model was fitted to the DCE-MRI
concentration curves to estimate perfusion parameters and model-free parameters
in the SB. Motility index was calculated in GIQuant (Motilent Inc.) software
based on the deformation field for each pixel across the 20 CINE-MRI dynamics3.
Length/wall thickness of the involved SB segments were measured on T2WI for all
patients. Surgical specimens (n=15) were scored for both inflammation and
fibrosis based on previously described CD pathological inflammation and
fibrosis grading as grade 0/1/2 for both4. Mann-Whitney U-test was
performed to investigate the utility of the mpMRI parameters for the
differentiation of CD inflammatory and fibrosis grade 0 and 1 from grade 2 in
patients with SBS.ROC analysis was used to determine the diagnostic performance
of the DCE-MRI, IVIM, and motility parameters for diagnosing inflammatory and
fibrosis grade 2. Performance of the same parameters in differentiating normal
bowel, inflamed bowel, and strictured bowel was investigated by performing
ANOVA test.Results
There were 8 SBS with grade 2, 7 with grade 0-1 fibrosis; 9 SBS with
grade 2, 6 with grade 0-1 inflammation. Among all IVIM-DWI parameters, only ADC could differentiate fibrosis
grade 2 from grade
0 and 1 with good performance (AUC:0.804, CI:0.55-1). Higher grade of fibrosis
was associated with lower ADC levels (1.63±0.76 vs 1.81±0.25, P=0.049). Of the
DCE-MRI parameters, upslope and time to peak (TTP) showed good (AUC:0.857,
CI:0.62-1) and excellent (AUC:0.982, CI:0.92-1) performance, respectively in
distinguishing grade 2 from grades 0-1 fibrosis. Segments with higher grade of
fibrosis had longer TTP (359.5±91.6 vs 129.2±23.1) and lower upslope (0.99±0.35
vs 2.3±1.3). [OB1] Other mpMRI parameters did not show a
significant performance (Figure 3).
None of the MRI parameters including motility score could diagnose inflammatory
SBS (Figure 4). Only perfusion
fraction (P=0.004) and motility score (P<0.001) could distinguish SBS from
normal and inflamed segments without strictures (Figure 5). Discussion
In this study, we found
that SBS with high grade fibrosis had lower ADC and upslope as well as higher
TTP values compared to SBS with low grade fibrosis. To the best of our
knowledge, this is the first prospective study evaluating SBS with mpMRI. Low upslope and prolonged TTP are consistent
with less gadolinium contrast uptake in areas of high fibrosis. Similarly,
lower ADC is consistent with more diffusion restriction in SBS with higher
fibrosis. We also found that motility may distinguish between different
pathologic conditions of the small bowel.Conclusion
Our preliminary results suggest that mpMRI parameters are promising tools to
characterize SBS and may be helpful in the stratification of patients for
medical treatment vs surgery. Future studies with larger cohort are needed for
validation. Acknowledgements
This
work was funded by Crohn’s and Colitis Foundation. References
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