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Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging.
Lu, Kun-Han; Liu, Zhongming; Jaffey, Deborah; Wo, John M; Mosier, Kristine M; Cao, Jiayue; Wang, Xiaokai; Powley, Terry L.
Afiliação
  • Lu KH; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA.
  • Liu Z; Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, Indiana, USA.
  • Jaffey D; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
  • Wo JM; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.
  • Mosier KM; Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA.
  • Cao J; Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Wang X; Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Powley TL; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Neurogastroenterol Motil ; 34(1): e14239, 2022 01.
Article em En | MEDLINE | ID: mdl-34431171
ABSTRACT

BACKGROUND:

Time-sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non-invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established. This study uses an MRI protocol for imaging the stomach with high spatiotemporal resolution and provides a pipeline for assessing gastric emptying and motility.

METHODS:

Diet contrast-enhanced MRI images were acquired from seventeen healthy humans after they consumed a naturalistic contrast meal. An automated image processing pipeline was developed to correct for respiratory motion, to segment and compartmentalize the lumen-enhanced stomach, to quantify total gastric and compartmental emptying, and to compute and visualize gastric motility on the luminal surface of the stomach. KEY

RESULTS:

The gastric segmentation reached an accuracy of 91.10 ± 0.43% with the Type-I error and Type-II error being 0.11 ± 0.01% and 0.22 ± 0.01%, respectively. Gastric volume decreased 34.64 ± 2.8% over 1 h where the emptying followed a linear-exponential pattern. The gastric motility showed peristaltic patterns with a median = 4 wave fronts (range 3-6) and a mean frequency of 3.09 ± 0.07 cycles per minute. Further, the contractile amplitude was stronger in the antrum than in the corpus (antrum vs. corpus 5.18 ± 0.24 vs. 3.30 ± 0.16 mm; p < 0.001). CONCLUSIONS & INFERENCES Our analysis pipeline can process dynamic 3D MRI images and produce personalized profiles of gastric motility and emptying. It will facilitate the application of MRI for monitoring gastric dynamics in research and clinical settings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estômago / Esvaziamento Gástrico / Motilidade Gastrointestinal Tipo de estudo: Guideline Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Neurogastroenterol Motil Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estômago / Esvaziamento Gástrico / Motilidade Gastrointestinal Tipo de estudo: Guideline Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Neurogastroenterol Motil Ano de publicação: 2022 Tipo de documento: Article