Meshari T. Alshammari
MRI tagging of colonic chyme mixing in healthy subjects: Inter‐observer variability and reliability of the measurement with time
Alshammari, Meshari T.; Alyami, Ali S.; Wilkinson-Smith, Victoria; Spiller, Robin C.; Gowland, Penny; Marciani, Luca; Moran, Gordon W.; Hoad, Caroline L.
Authors
Ali S. Alyami
Victoria Wilkinson-Smith
Professor ROBIN SPILLER ROBIN.SPILLER@NOTTINGHAM.AC.UK
PROFESSOR OF GASTROENTEROLOGY
Professor Penny Gowland PENNY.GOWLAND@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Professor LUCA MARCIANI LUCA.MARCIANI@NOTTINGHAM.AC.UK
PROFESSOR OF GASTROINTESTINAL IMAGING
Professor GORDON MORAN GORDON.MORAN@NOTTINGHAM.AC.UK
PROFESSOR OF GASTROENTEROLOGY
Dr CAROLINE HOAD CAROLINE.L.HOAD@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Abstract
Background: Magnetic resonance imaging (MRI) tagging techniques have been applied to the GI tract to assess bowel contractions and content mixing. We aimed to evaluate the dependence of a tagging measurement (for assessing chyme mixing) on inter-observer variability in both the ascending colon (AC) and descending colon (DC) and to investigate the temporal variation and hence reliability of the colonic tagging technique by acquiring multiple measurements over time on healthy participants. Methods: Two independent datasets of healthy adults were used for the retrospective inter-observer variability (Study 1: 13 datasets and Study 2: 31 datasets), and ten participants were scanned for the prospective temporal variation study following a 1 L mannitol oral preparation. All colonic tagging data were acquired on 3 T MRI scanners. The mean and the standard deviation (SD) maps were generated pixel-by-pixel using custom-written software in MATLAB. The colonic regions of interest were defined using MIPAV software. Bland–Altman plots and scatter plots were used for the inter-observer variability. The mean and SD of all repeated measures for each subject were calculated along with a one-way ANOVA to test for variations with time. Results: Scatter plots and Bland–Altman plots showed a large range of data with low variation and small limits of agreements (<5% CoV). The intraclass correlation coefficient of inter-rater reliability was excellent and 0.97 or above for the AC and DC measurements for both datasets. The temporal variation study shows that there was no significant difference found between the multiple measures with time (p = 0.53, one-way repeated measures ANOVA test). Conclusions: MRI tagging technique can provide an assessment of colonic chyme mixing. The inter-observer study data showed high inter-rater agreement. The temporal variation study showed some individual variations with time suggesting multiple measurements may be needed to increase accuracy.
Citation
Alshammari, M. T., Alyami, A. S., Wilkinson-Smith, V., Spiller, R. C., Gowland, P., Marciani, L., Moran, G. W., & Hoad, C. L. (2023). MRI tagging of colonic chyme mixing in healthy subjects: Inter‐observer variability and reliability of the measurement with time. Neurogastroenterology and Motility, 35(8), Article e14610. https://doi.org/10.1111/nmo.14610
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 27, 2023 |
Online Publication Date | May 9, 2023 |
Publication Date | 2023-08 |
Deposit Date | May 18, 2023 |
Publicly Available Date | May 10, 2024 |
Journal | Neurogastroenterology & Motility |
Print ISSN | 1350-1925 |
Electronic ISSN | 1365-2982 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 35 |
Issue | 8 |
Article Number | e14610 |
DOI | https://doi.org/10.1111/nmo.14610 |
Keywords | magnetic resonance imaging, colonic tagging, IBD, bowel motility, colonic chyme |
Public URL | https://nottingham-repository.worktribe.com/output/20566983 |
Publisher URL | https://onlinelibrary.wiley.com/doi/10.1111/nmo.14610 |
Files
MRI Tagging Paper - Revised Manuscript
(738 Kb)
PDF
You might also like
Structuring white rice with gellan gum reduces the glycemic response in healthy humans
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search