Evidence map›Paper›PMID 41369901›Full record

ArticleAbdominal radiology (New York)2026

Unified NDMI for small intestinal cine MRI: repeatability and sensitivity to multicenter variability.

Yue Wang, Wenhui Li, Wei Wang, Ziming Wang, Taoli Du, Ming Ma, Mengchao Zhang

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yue WangJilin University, Changchun, China.
Wenhui LiJilin University, Changchun, China.
Wei WangJilin University, Changchun, China.
Ziming WangJilin University, Changchun, China.
Taoli DuJilin University, Changchun, China.
Ming MaJilin University, Changchun, China.
Mengchao ZhangJilin University, Changchun, China. zhangmengchao@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish a comparability-first cine-MRI paradigm for small intestinal motility using a unified, feature-agnostic normalized differential motion index (NDMI). On this foundation, we investigated scan-rescan consistency and sensitivity under simulated multicenter variability across three methodological families - Optical flow, Morphology, and Implicit neural representation (INR).

methodsTwelve healthy volunteers underwent same-scanner scan-rescan cine-MRI. Nineteen high-confidence ROI subsequences were curated. Motility features were derived from (i) generalized Optical flow, (ii) JointSwinUNETR segmentation, and (iii) INR registration adapted to 2D series. A single NDMI parameterization was applied across methods and compared with expert three-level ordinal ratings (vigorous/moderate/low) using accuracy, weighted kappa (xw), and Spearman's ρ. Repeatability was assessed with Bland-Altman analysis. Robustness was probed via controlled perturbations (intensity scaling/bias, Gaussian noise, affine distortions), and variance contributions were estimated. Per-frame latency was recorded.

resultsAgreement with expert ratings was favorable across all families: INR achieved the highest overall accuracy and rank correlation (Acc[Formula: see text], highest ρ), Morphology yielded the strongest quadratic-weighted κ, and Optical flow was lower overall, particularly in the moderate class. Signed Bland-Altman analyses showed near-zero bias and the tightest limits of agreement for Morphology with the highest [Formula: see text], intermediate repeatability for INR, and wider limits for Optical flow. Under simulated multicenter perturbations, dominant variance sources diverged-noise plus isotropic scale for Optical flow, geometric distortions for Morphology, and Rician noise for INR-whereas global intensity shifts were negligible within the tested ranges. Mean per-frame latency was 0.03 s (Morphology), 0.07 s (Optical flow), and 5.66 s (INR).

conclusionNDMI provides a unified, feature-agnostic basis for fair cross-family comparison of intestinal motility. Under controlled conditions, all three methods were repeatable: Morphology was most consistent; INR showed the best agreement with expert ratings and relative robustness to affine changes; Optical flow was more sensitive to SNR and scale. These profiles support scenario-aware method selection and motivate prospective multicenter validation with protocol harmonization.

Indexed as

Gastrointestinal MotilityImage Interpretation, Computer-AssistedIntestine, SmallMagnetic Resonance Imaging, CineAdultFemaleHealthy VolunteersHumansMaleReproducibility of ResultsSensitivity and SpecificityDeep learningGastrointestinal motilityImage processingMagnetic resonance imagingMulticenter studies as topicReproducibility of results

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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.