Susan Pritchard1, Joe Paul1, Giles Major2,3, Luca Marciani2,3, Penny Gowland1, Robin Spiller2,3, and Caroline Hoad1,2
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, United Kingdom, 3Nottingham Digestive Diseases Biomedical Research Unit, University of Nottingham, Nottingham, United Kingdom
Synopsis
Assessment
of colonic motility may be extremely useful in understanding the symptoms of
constipation. Current techniques (manometry, cine-MRI) can only detect wall movements
and not the effect this motion may have on mixing of colonic contents. We
report the use of an MR tagging technique to assess flow and mixing in the
human colon following ingestion of a 500ml macrogol preparation. This technique
successfully identified differences in intracolonic mixing between 11 healthy
and 11 constipated subjects and shows potential to generate novel insights into
the physiology and mechanisms of disease and the environmental pressures on, and
effects of, gut microbiota.Background
Assessing motility of the colon may be extremely
useful in understanding the symptoms of constipation
1, 2 but to do so is
challenging for invasive manometry as sensor placement requires an empty colon,
which may alter its physiology. MRI work to date has concentrated on
visualising large scale contractions of the colon wall
3, 4. Neither technique can monitor how this wall
movement effects mixing of colonic contents, although mixing may affect stool
consistency, gut transit with implications for symptoms, and the establishment
of gut microbiota communities. Previous work utilised MR tagging to measure movement
of the gastric
5 or small bowel
6 wall and contents.
Aims
To use an MR
tagging technique to observe mixing and flow in the ascending colon of 11
healthy and 11 constipated subjects following ingestion of a 500ml macrogol
preparation.
Subjects and study design
The study
protocol was approved by the local research ethics committee. All participants gave
written informed consent. 11 healthy volunteers, with no history of
gastro-intestinal disease, (4 male, 7 female, aged 28±10 years with mean Body
Mass Index (BMI) 25.0±4.6 kgm
-2) and 11 subjects with symptoms of
constipation, as defined by Rome III criteria, (2 male, 9 female aged 36±12 years, with BMI 25.2±4.8 kgm
-2)
formed the study groups.
Subjects fasted
from 2200 hours the previous evening and avoided alcohol and caffeine for 24
hours and strenuous exercise from the night before the experiment. Following
the baseline, (fasted) MRI scan subjects ingested a 500ml dose of MOVIPREP® (Norgine Pharmaceuticals
Ltd, Harefield, UK) a polyethylene glycol (Macrogol 3550) electrolyte solution
within 30 minutes, followed by scans at 60 and 120 minutes.
Magnetic Resonance Imaging
MRI scans were
carried out using a 3T Philips MRI scanner (Philips, Best, The Netherlands).
The subjects were positioned supine with a XL-torso receiver coil wrapped
around the abdomen. The ascending
colon was imaged using a tagged bTFE sequence with TR/TE
2.32/1.16 ms, FA 45 , with a single sagittal slice, thickness 15 mm, FOV
264 (AP), 330 (HF) with acquired resolution of 1.5x1.5 mm
2 and
reconstructed to 0.98x0.98 mm
2. The horizontal tagging lines were
spaced 9.8mm apart and a delay of 250 ms between application of the tag and the
acquisition of the bTFE image sensitized the images to movement within the
colonic chyme. 33 dynamic scans were
acquired at 600 ms intervals within a 20 s breath-hold.
Data analysis and statistics
If no motion of colonic
contents occurred during the breath hold then all 33 tagged images would be
identical. However movement of the contents resulted in changes in intensity
from frame to frame derived from either gross movement of the tagged lines
(lines visible but displaced) or ‘smearing’ of the tagged lines due to mixing
as seen in Figure 1.
The first 4 dynamic
images were discarded due to global intensity changes as steady state was
approached. Maps of the mean signal intensity (MI) and standard deviation
(STDEV) of each pixel through the remaining 29 images were calculated using IDL®
(Research Systems Inc, Boulder, CO) (Figure
2).
A region was
defined encompassing the AC, (Figure 2) and the average mean intensity (MI
R)
and average STDEV within the region (STDEV
R) were calculated (using
Analyze9
TM-Mayo Foundation Rochester, MN, USA). In order to
normalise the variance to account for the increase in signal intensity in the
water-loaded colon post-macrogol ingestion, the average coefficient of
variation (%COV) for that defined region was defined as $$%COV=
100x STDEV
R/ MI
R $$ Statistical
analysis was carried out using Prism 5 (GraphPad Software Inc.). Comparisons
within group were performed using Wilcoxon’s matched-pairs signed rank test.
Comparisons between groups were performed using Mann-Whitney rank sum test and
differences were considered significant at p<0.05.
Results
Scans were
unavailable for one healthy volunteer and two patients at t=60 mins and one
healthy volunteer at t=120 mins for operational reasons. The raw images (Figure
1) and processed summary maps (Figure 2) showed movement down the centre of the
colon with an unstirred layer at the edges. The %COV data obtained are plotted
in Figure 3 and summarised in Table 1. An increase in %COV was seen within the
HV group following ingestion of the test drink but not the constipation
group.
Conclusion
MRI tagging of
the colonic contents is a feasible method of studying colonic motility and
mixing. The method identified differences in intracolonic mixing between
healthy and constipated subjects in response to a 500ml macrogol drink. The
technique shows potential to generate novel insights into physiology and
mechanisms of disease and insights into the environmental pressures on, and
effects of, gut microbiota.
Acknowledgements
This research was funded by a
Confidence-in-Concept grant from the Medical Research Council.References
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