ArticleNeurogastroenterology and motility2023
A novel MRI-based three-dimensional model of stomach volume, surface area, and geometry in response to gastric filling and emptying.
Article in Neurogastroenterology and motility, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 26 citations in OpenAlex.
- Gastric volume reduction estimation following Endoscopic Sleeve Gastroplasty through Image-based Analysis.Surgical endoscopy · 2026Article
- Radiological Imaging in Gastroparesis: A Narrative Literature Review of Diagnostic and Evaluation Techniques.Cureus · 2026Review
- Gastric Volumetric Filling Capacity Before and After Sleeve Gastrectomy: a Magnetic Resonance Imaging and Biomechanical Study.Obesity surgery · 2026Article
- Gastric filling ultrasound in assessing gastrointestinal motility in type 2 diabetic patients with neuropathy: A clinical study.Journal of diabetes investigation · 2025Article
- Decoding Gastric Reflexes: The Role of Mechanosensitive Enteric Neurons in Stomach Motility.Neurogastroenterology and motility · 2025Review
- Ultrasonographic assessment of gastric and gallbladder dynamics in human health and disease.Internal and emergency medicine · 2025Review
- Functional dyspepsia assessment - current diagnostic methods and new promising techniques.Archive of clinical cases · 2025Review
- Gastric-filling ultrasonography to evaluate gastric motor function in patients long-term bedridden undergoing stroke.Frontiers in physiology · 2025Article
- Global strategy for prevention of gastric cancer.World journal of clinical cases · 2024Article
- Surface mapping of gastric motor functions using MRI: a comparative study between humans and rats.American journal of physiology. Gastrointestinal and liver physiology · 2024Article
- A Primer for Utilizing Deep Learning and Abdominal MRI Imaging Features to Monitor Autosomal Dominant Polycystic Kidney Disease Progression.Biomedicines · 2024Review
- Gastric-filling ultrasonography to evaluate gastric motility in patients with Parkinson's disease.Frontiers in neurology · 2024Article
- MRI-Based Quantification of Pan-Alimentary Function and Motility in Subjects with Diabetes and Gastrointestinal Symptoms.Journal of clinical medicine · 2023Article
- A novel MRI-based three-dimensional model of stomach volume, surface area, and geometry in response to gastric filling and emptying.Neurogastroenterology and motility · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric motility and accommodation have a critical role in maintaining normal gastrointestinal homeostasis. Different modalities can be adopted to quantify those processes, that is, scintigraphy to measure emptying time and intragastric Barostat for accommodation assessment. However, magnetic resonance imaging (MRI) can assess the same parameters noninvasively without ionizing radiation. Our study aimed to develop a detailed three-dimensional (3D) MRI model of the stomach to describe gastric volumes, surface areas, wall tension distribution, and interobserver agreement.
methodsTwelve healthy volunteers underwent an MRI protocol of six axial T2-weighted acquisitions. Each dataset was used to construct a 3D model of the stomach: First, the volumes of the whole stomach, gastric liquid, and air were segmented. After landmark placing, a raw 3D model was generated from segmentation data. Subsequently, irregularities were removed, and the model was divided into compartments. Finally, surface area and 3D geometry parameters (inverse curvatures) were extracted. The inverse curvatures were used as a proxy for wall tension distribution without measuring the intragastric pressure. KEY
resultsThe model was able to describe changes in volume and surface geometry for each compartment with a distinct pattern in response to filling and emptying. The surface tension was distributed nonhomogeneously between compartments and showed dynamical changes at various time points. CONCLUSION & INFERENCES: The presented model offers a detailed tool for evaluating gastric volumes, surface geometry, and wall tension in response to filling and emptying and will provide insights into gastric emptying and accommodation in diseases such as diabetic gastroparesis.
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