Evidence map›Paper›PMID 41931166›Full record

ArticleEuropean radiology2026

Temporal AI-assisted compressed sensing for high-resolution, motion-robust small-bowel MR enterography without antiperistaltic agents: a feasibility study.

Ziman Xiong, Yufan Wang, Liya Ma, Xiaopeng Song, Wei Mao, Zhen Li, Yaqi Shen

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Article in European radiology, 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.

Ziman XiongDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yufan WangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liya MaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaopeng SongUnited Imaging Healthcare, Shanghai, China.
Wei MaoUnited Imaging Healthcare, Shanghai, China.
Zhen LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yaqi ShenDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. yqshen@hust.edu.cn.ORCID http://orcid.org/0000-0003-0589-8975

Funding

National Key Research and Development Program of China 2024YFE0113500National Natural Science Foundation of China 82371942National Natural Science Foundation of China 82471969
6 · The paper itself

Abstract

objectivesTo evaluate whether temporal AI-assisted compressed sensing (tACS) enables high-resolution, motion-robust magnetic resonance enterography (MRE) without antiperistaltic agents and improves acquisition efficiency and motility visualization. MATERIALS AND

methodsThis prospective single-center study enrolled consecutive patients who underwent both routine and tACS MRE on a 3.0-T scanner between October 2024 and June 2025, without antiperistaltic agents. The tACS protocol acquired axial and coronal T2-weighted images (T2WI); the routine protocol included a coronal Cine sequence. Acquisition time and total temporal frames for non-fat-saturated T2WI (routine and tACS) and Cine were recorded to calculate imaging efficiency (frames/min). Primary outcomes included total temporal frames, scan time, efficiency, subjective image-quality scores, apparent signal-to-noise ratio (aSNR), contrast-to-noise ratio (aCNR), maximum local variation sharpness, peri-enteric fat-plane clarity, and ileocecal-valve (ICV) motility. Paired statistical tests compared within-subject differences; Kendall's W assessed inter-reader agreement.

resultsThirty patients completed both protocols. tACS acquired 504 frames in 287 s vs 107 frames in 241 s for the routine protocol, improving efficiency 4.0-fold (105.4 vs 26.6 frames/min; p < 0.001). Subjective image quality favored tACS (median 5.0 vs ≤ 4.0; p < 0.01) with perfect agreement (W = 1.00). Quantitative analysis demonstrated significantly improved sharpness (all p < 0.001) and increased aSNR/aCNR. Fat-plane clarity reached perfect scores in 93% (28/30) with tACS, and ICV motility scoring was superior to Cine (median 3.0 vs 2.0; p < 0.001).

conclusionstACS enhances temporal resolution and image quality for MRE without antiperistaltic agents, with minimal extra scan time and potential to simplify clinical workflows. KEY POINTS: Question Can tACS provide high-resolution, motion-robust MRE images without the need for antiperistaltic agents? Findings tACS improved imaging efficiency four-fold while significantly enhancing subjective image quality, sharpness, and motility visualization compared to routine protocols. Clinical relevance tACS enables high-quality MRE without antiperistaltic medication, with the potential to simplify clinical workflows, improve patient comfort, and support reliable visualization of bowel motility.

Indexed as

Artificial IntelligenceImage Interpretation, Computer-AssistedIntestine, SmallMagnetic Resonance ImagingAdultAgedFeasibility StudiesFemaleGastrointestinal MotilityHumansMaleMiddle AgedMotionProspective StudiesSignal-To-Noise RatioDeep learningFeasibility studiesImage processingIntestinesMagnetic resonance imaging

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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.