Evidence map›Paper›PMID 41193818›Full record

ArticlePediatric radiology2026

Optimizing infant magnetic resonance imaging efficiency: Deep learning-assisted feed-and-wrap technique versus general anesthesia using an infant magnetic resonance imaging stabilizer in infants under 4 months.

Ahmed Aldraihem, Moayad Almaimani, Mohamed Bayoumi, Abdulhamid Abunadi, Mohammed AlSwaileh, Raneem AlDubaikhi, Abdulrahman Alannaz, Norah Almuhaimed, Aljoharah Aljabr

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Ahmed AldraihemPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia. Ahmed.aldraihem@aaml.com.sa.
Moayad AlmaimaniKing Saud Medical City, Riyadh, Saudi Arabia.
Mohamed BayoumiKing Saud Medical City, Riyadh, Saudi Arabia.
Abdulhamid AbunadiPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia.
Mohammed AlSwailehPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia.
Raneem AlDubaikhiPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia.
Abdulrahman AlannazPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia.
Norah AlmuhaimedPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia.
Aljoharah AljabrPediatric radiology Department, Altakassusi Alliance Medical, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfant MRI is limited by motion and the frequent reliance on general anesthesia (GA), which suppresses motion but increases procedural risk, resource use, and turnover time. A sedation-free alternative is the feed-and-wrap (FW) technique-natural sleep supported by swaddling and noise control-which avoids anesthesia but can be limited by motion and variable success. Deep-learning (DL)-based image reconstruction shortens acquisitions and improves image quality, potentially strengthening the FW pathway (DL-FW) by reducing scan time and repeat sequences.

objectiveOur study aimed to investigate whether, compared with GA, DL-FW reduces MRI turnover time in infants younger than 4 months. MATERIALS AND

methodsIn this single-center retrospective study, we included consecutive infants aged ≤4 months who underwent brain MRI during the study period and met predefined criteria. Infants underwent either DL-FW or GA according to institutional practice. The primary endpoint was the turnover time of the MRI room, defined as the interval from the starting point to the end of the procedure. Times are summarized as median (IQR) and mean±SD; groups were compared using a two-sided Mann-Whitney U test (α=0.05). The between-group shift was estimated with the Hodges-Lehmann (HL) estimator and 95% confidence interval (CI).

resultsForty-eight infants were analyzed (DL-FW n=22; GA n=26). Turnover time was shorter with DL-FW (23 min [21-27], mean±SD 26.8±11.3, range 14-52) versus GA (30 min [27-38], 32.6±9.8, 19-58), and the difference was significant (U=166; z= - 2.48; P=0.013). The HL estimator indicated that the GA turnover time exceeded that of DL-FW by 6 min (95% CI 2-11), corresponding to a 7-min reduction in group medians (~23% relative to GA). No data were missing.

conclusionIn infants aged ≤4 months, a DL-FW pathway with an infant MRI stabilizer was associated with significantly shorter MRI room turnover time than GA was, supporting the use of DL-FW as an anesthesia-sparing approach that may improve workflow and safety.

Indexed as

Anesthesia, GeneralDeep LearningMagnetic Resonance ImagingBrainFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesAnesthesiaDeep learningInfantPatient flowWorkflow

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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.