Evidence map›Paper›PMID 41742082›Full record

ArticleBMC medical imaging2026

Evaluation of simultaneous multi-slice echo planar imaging in the diagnosis of brain lesions in pediatric patients: a quantitative and qualitative study.

Kaihua Yang, Yaping Yuan, Ling Wu, Xin Yang, Yue Liu, Shengli Shi

Abstract readEvaluation Study
In one paragraph

Article in BMC medical imaging, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kaihua YangDepartment of Radiology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China.
Yaping YuanDepartment of Radiology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China.
Ling WuDepartment of Radiology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China.
Xin YangDepartment of Radiology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China.
Yue LiuDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, NMOE Key Laboratory of Major Diseases in Children, National Center for Children's Health, Beijing, 100045, China.
Shengli ShiDepartment of Radiology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China. shislwl@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurological disorders often result in significant morbidity and mortality, highlighting the need for timely and accurate diagnosis. Magnetic Resonance Imaging (MRI) is a crucial clinical tool for obtaining accurate and timely diagnoses. Reducing scan times during MRI procedures is essential for minimizing the need for sedation and reducing motion artifacts. Single-shot echo-planar imaging (SS-EPI) is a commonly used technology for pediatric MRI.

objectiveTo evaluate the feasibility of using simultaneous multi-slice echo-planar imaging (SMS-EPI) as a clinical alternative to SS-EPI in pediatric patients. MATERIALS AND

methodsBoth SS-EPI and SMS-EPI images were acquired from 58 pediatric patients aged 5 to 12 years using a 20-channel head-neck coil on either a 3T or 1.5T MRI scanner, with consistent voxel size and coverage. Two radiologists qualitatively assessed the structural anatomic clarity, overall image quality, degree of lesion display, degree of artifacts, and diagnostic confidence of the SS-EPI and SMS-EPI images. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were quantitatively compared.

resultsSMS-EPI exhibited shorter scanning times compared to SS-EPI. Although SNR and CNR favored SMS sequences over SS-EPI sequences for both 3T and 1.5T scanners, the differences did not reach statistical significance (all p > 0.05). Qualitative assessment revealed that SMS-EPI received significantly higher median scores in terms of structural anatomic clarity, overall image quality, lesion display, artifacts, and diagnostic confidence (all P < 0.001). The adjacent agreement rate indicated a high level of clinical consensus among the readers.

conclusionSMS-EPI significantly shortens scanning times while providing equivalent or better reliability and consistency compared with SS-EPI. SMS-EPI shows significant potential for clinical diagnostic imaging applications in pediatric patients.

Indexed as

BrainBrain DiseasesEcho-Planar ImagingArtifactsChildChild, PreschoolFeasibility StudiesFemaleHumansMaleReproducibility of ResultsSignal-To-Noise RatioNeurological disordersPediatricSimultaneous multi-slice EPISingle-shot EPI

Identifiers

PMID41742082
PMCPMC13040745

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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.