Evidence map›Paper›PMID 42844727›Full record

ReviewNeurogastroenterology and motility2026

Gastroparesis Phenotyping: Current Methods and Emerging Opportunities With Magnetic Resonance Imaging.

Xiaokai Wang, Michael Camilleri, Zhongming Liu

Abstract readReview
In one paragraph

Review in Neurogastroenterology and motility, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xiaokai WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-0184-0170
Michael CamilleriDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Michigan, USA.ORCID https://orcid.org/0000-0001-6472-7514
Zhongming LiuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-8773-4204

Funding

Mapping Stomach Autonomic Circuitry and Function for Neuromodulation of Gastric DisordersOT2OD023847 · OD · PURDUE UNIVERSITY · PI POWLEY, TERRY L. · 2016 to 2021
$17.6M
Functional Neural Circuits of Stomach-Brain InteroceptionR01AT011665 · NCCIH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE, LIU, ZHONGMING · 2021 to 2025
$2.8M
Use of novel MRI technology to study pathophysiology diabetic gastroparesisR01DK131524 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, JIANDE, WILEY, JOHN W · 2021 to 2025
$1.9M
The Virtual StomachOT2OD030538 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENG, LEO, LIU, ZHONGMING · 2020 to 2021
$1.7M
NCCIH NIH HHS R01 AT011665NIDDK NIH HHS R01 DK131524NIH HHS AT011665NIH HHS DK131524NIH HHS OD023847NIH HHS OD030538NIH HHS OT2 OD023847NIH HHS OT2 OD030538
6 · The paper itself

Abstract

backgroundGastroparesis is a complex gastrointestinal motility disorder characterized by delayed gastric emptying. Its pathophysiology varies across patients, arising from impaired fundic tone, antral hypomotility, pylorospasm, antropyloroduodenal incoordination, or combinations thereof. Current clinical diagnostic tools provide only a fragmented assessment of gastric function and lack the comprehensive spatiotemporal details necessary to differentiate these pathophysiological phenotypes, limiting the ability to deliver personalized treatments. PURPOSE: To overcome this gap, we advocate for dynamic magnetic resonance imaging (MRI) as a non-invasive "all-in-one" diagnostic platform for simultaneous evaluation of gastric accommodation, regional wall kinematics, pyloric function, and overall emptying within a single exam following the oral ingestion of a natural-ingredient test meal. This integrated assessment offers a unique capability for gastroparesis phenotyping by characterizing how various types of regional motor dysfunction lead collectively to delayed gastric emptying in each patient. Quantifying MRI-derived phenotypes using a standardized surface scaffold of the gastric musculature creates a functional mapping framework to contrast patient-specific deviations against normative baselines established from healthy cohorts. The framework enables the integration of localized motor phenotypes with underlying structural knowledge for objective explanation of clinical symptoms and evidence-based, personalized treatments. Ultimately, establishing dynamic MRI as the emerging diagnostic standard promises to transform gastroparesis management from an empirical practice into a new era of precision gastroenterology. SUMMARY: Gastroparesis is a disease condition characterized by delayed gastric emptying, which may arise from different underlying causes that existing tests cannot fully distinguish. We review recent advances in dynamic MRI of the upper gastrointestinal tract and demonstrate that dynamic MRI can simultaneously assess gastric emptying, fundic tone, antral and duodenal contractions, and pyloric opening, all in a single examination. We highlight its potential to identify patient-specific patterns of dysfunction and support more precise diagnosis and treatment.

Indexed as

GastroparesisMagnetic Resonance ImagingGastric EmptyingGastrointestinal MotilityHumansPhenotypedisease phenotypingfunctional mappinggastric emptyinggastrointestinal motilitygastroparesismagnetic resonance imagingprecision medicine

Identifiers

PMID42844727
PMCPMC13646373

What OpenQuestion holds

Textmetadata
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.