Evidence map›Paper›PMID 41645687›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Quantitative Real-Time MRI for the Assessment of Gastric Motility.

Lydia Neubauer, Leonie Forstreuter, Fabian Winter, Fiona Mankertz, Mark O Wielpütz, Donata S Grajecki, Antje Steveling, Ali A Aghdassi, Sebastian Zeißig, Matthew D Blackledge and 5 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Evidence for the existence of theInternational journal of pharmaceutics: X · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Lydia NeubauerDepartment of Biopharmaceutics and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Greifswald, Germany.ORCID 0009-0002-0469-820X
Leonie ForstreuterDepartment of Biopharmaceutics and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Greifswald, Germany.
Fabian WinterDepartment of Biopharmaceutics and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Greifswald, Germany.
Fiona MankertzDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany.
Mark O WielpützDepartment of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.
Donata S GrajeckiDepartment of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0001-9886-1754
Antje StevelingDepartment of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany.
Ali A AghdassiDepartment of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany.
Sebastian ZeißigDepartment of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany.
Matthew D BlackledgeDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Dirk VoitBiomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Jens FrahmBiomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Susanne SchnellDepartment of Medical Physics, University of Greifswald, Institute of Physics, Greifswald, Germany.ORCID 0000-0001-6009-4756
Werner WeitschiesDepartment of Biopharmaceutics and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Greifswald, Germany.
Linus GroßmannDepartment of Biopharmaceutics and Pharmaceutical Technology, Institute of Pharmacy, University of Greifswald, Greifswald, Germany.ORCID 0000-0002-5802-9792

Funding

Deutsche Forschungsgemeinschaft INST 292/155-1 FUGGInterreg INT0100008
6 · The paper itself

Abstract

backgroundCurrent reference standards for measuring gastric emptying and motility are not considered optimal due to the time required, ionizing radiation, invasiveness, and spatial resolution. PURPOSE: To assess gastric motility using novel real-time dynamic magnetic resonance imaging in combination with static measurements for gastric emptying and training of an automated deep-learning-based segmentation pipeline. STUDY TYPE: Prospective.

participantsThe study included 36 healthy volunteers (20 female, mean 24 ± 3 years) and three patients with diagnosed Crohn's disease. FIELD STRENGTH/SEQUENCES: Participants ingested water to assess fasting motility and pineapple juice for the postprandial state. 3 T, 3D spoiled gradient echo (GRE) sequence and real-time spoiled GRE. ASSESSMENT: Gastric emptying was measured by using the gastric volume, while motility was analyzed by tracking changes in the antrum's cross-sectional area and applying Fast Fourier Transformation. Segmentations were performed using a trained semantic segmentation model. STATISTICAL TESTS: Linear Mixed Model with continuous dependent variables and fixed effects. Models included a random intercept for participants. Statistical significance was defined as p = 0.05.

resultsThe method enabled volumetric analysis of gastric content from 3D breath-hold static acquisition and time-resolved quantification of peristaltic parameters from real-time FLASH2 imaging at high temporal resolution (here 6.24 fps). Water emptied rapidly and exponentially (t DATA

conclusionReal-time MRI with AI-based analysis enabled quantitative assessment of gastric emptying and motility, revealing physiological peristaltic parameters and state-dependent differences in occlusion. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 1.

Indexed as

Gastric EmptyingGastrointestinal MotilityMagnetic Resonance ImagingStomachAdultDeep LearningFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMalePostprandial PeriodProspective StudiesYoung Adultartificial intelligencegastric emptyingmotilityreal‐time MRIstomach

Identifiers

PMID41645687
PMCPMC13066535

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.