Ayhan Gursan1, Arjan D. Hendriks1, Dimitri Welting1, Dennis W.J. Klomp1, and Jeanine J. Prompers1
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
Synopsis
Gastric
emptying abnormalities are frequently observed in diabetes patients. Here we
explored whether dynamic 3D DMI could be a radiation-free alternative for
scintigraphy to measure the gastric emptying rate. One volunteer was scanned after
oral intake of deuterated glucose and proximal and distal gastric emptying was
monitored. The distribution of the glucose load in the proximal and distal
parts of the stomach and the rate of gastric emptying agreed well with
scintigraphy results. DMI has potential to investigate gastric emptying
abnormalities in patients with diabetes, while at the same time providing
information on glucose uptake and metabolism in the liver.
Introduction
Gastric emptying is the
process of nutrients moving from the stomach into the duodenum at a regulated
rate1. Gastric emptying
abnormalities are frequently observed in diabetes and include both slow/delayed
and fast gastric emptying2. While delayed gastric
emptying can cause hypoglycemia in diabetes patients using exogenous insulin, rapid
gastric emptying is emerging as major determinant of postprandial hyperglycemia2. The current gold
standard for the assessment of gastric emptying is scintigraphy3. Deuterium metabolic
imaging (DMI)4–10 with deuterated
glucose could potentially be used as a radiation-free alternative to assess
gastric emptying, while at the same time providing information on glucose
uptake and metabolism in surrounding tissues, such as the liver.
Previously, we have demonstrated
the feasibility of monitoring liver glucose uptake and metabolism with DMI
using a dedicated 4-channel deuterium body array at 7T. In the current study,
we measured gastric emptying with dynamic 3D DMI using the same setup.Methods
The study was approved
by the local medical ethics committee. DMI measurements were performed at a 7T
whole-body MRI system (Philips Healthcare, Best, Netherlands), with a
dedicated setup consisting of 4 deuterium (2H) transmit/receive loop
coils and 4 proton (1H) transmit/receive dipole antennas. Image-based
B0 shimming and acquisition of coronal and axial T1w reference
images for DMI planning were performed with the 1H antennas. DMI
measurements were performed with a pulse-acquire sequence using a 1 ms block
pulse, followed by phase encoding gradients for 3D spatial encoding, and TE/TR=1.95/333 ms,
nominal voxel size=30x30x30 mm3,
matrix size=8(AP)x10(LR)x9(FH), NSA=4, and temporal resolution=5:08 min. DMI
acquisitions were made using a Hamming-weighted k-space acquisition pattern. No
respiratory gating was applied.
One healthy volunteer was scanned after an
overnight fast. A load
of 50 grams of [6,6’-2H2]glucose was dissolved in 200 ml water and administered
orally through a tube while the subject was laying in the scanner. Two baseline
scans at natural abundance were acquired before deuterated glucose intake and DMI
scans were continued up to 130 min after intake.
Reconstruction and processing of the raw DMI
data was performed with an in-house written MATLAB script
(MathWorks, Natick, MA, USA).
Channel combination was performed using the Roemer equal noise
algorithm11. The deuterated glucose
signal (3.8 ppm) was fitted using AMARES12. Glucose maps were created using the
amplitude of the fitted glucose signals. Axial T1w images
were used to draw ROI’s for proximal and distal parts of the stomach and the sum
of the two ROI’s was used as total stomach ROI. Glucose signal amplitudes were added
within each ROI, and the glucose signal in the first measurement after glucose
intake in the total stomach ROI was set to 100%. For the total stomach ROI, the
time course of glucose signal amplitudes was fitted to a mono-exponential
function to determine the emptying half time (T50).Results
A very strong deuterated glucose signal was observed
in the proximal part of the stomach immediately after administration of
deuterated glucose and, although it was slowly decreasing thereafter, the
glucose signal stayed high until the last measurement at 130 min after glucose
intake (Figures 1 and 2). In contrast, in the distal stomach the glucose signal
disappeared almost completely 20 min after intake (Figure 2). Figure 3 shows the
ROI’s for the proximal and distal parts of the stomach on the T1w axial images.
Figure 4 shows the distribution and time courses of glucose signal in the
proximal and distal parts of the stomach, relative to the total stomach glucose
signal. About 80% of the glucose signal was initially observed in the proximal
stomach, which then decreased more or less linearly over time. In the distal
stomach, the glucose signal decayed rapidly during the first 20 min and then
remained at a constant low value (~7%) up to 130 min. For the total stomach glucose
signal, the fitted T50 was 80 min (Figure 5). Discussion and Conclusion
We
demonstrated the measurement of gastric emptying with dynamic 3D DMI. Using
scintigraphy, it has been shown that both the nutrient load and the volume of
the load affects the gastric emptying rate, as the regulation is dependent on the
amount of calories entering the duodenum13,14. Moreover, intragastric
distribution of a labeled glucose drink is different between seated and lying
positions, and especially the distal gastric emptying rate is affected by
posture15. However, it was shown
that the overall gastric emptying rate is not significantly different for
seated and lying positions15. Compared to a
scintigraphy study in seated subjects using a similar glucose load and volume
as in our study, we observed a slightly shorter T50 for the whole
stomach (80 vs 103 min)16. The intragastric distribution
of the glucose load and the different patterns for proximal and distal gastric
emptying agree well with scintigraphy results of subjects in a lying position15.
In
conclusion, dynamic 3D DMI allows monitoring of proximal and distal gastric
emptying without radiation burden. This technique could be applied to
investigate gastric emptying abnormalities in patients with diabetes, and
results can be linked directly to hepatic glucose uptake and metabolism,
through simultaneous measurement with a deuterium body array setup.Acknowledgements
This work was funded by
a HTSM grant from NWO TTW (project number 17134) and by a FET Innovation
Launchpad grant from the EU (grant number 850488).References
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