Evidence map›Paper›PMID 41919132›Full record

ArticleFrontiers in neurology

Application value of isotropic acquisition with simultaneous multi-slice diffusion weighted imaging in subacute early small artery occlusive cerebral infarction.

Chaoliang He, Jie Yang, Yan Li, Ling Tang, Hongfu Dan, Chao Yuan, Jianquan Zhong

Abstract read
In one paragraph

Article in Frontiers in neurology. 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chaoliang He *Department of Radiology, Zigong First People's Hospital, Zigong, China.
Jie Yang *Department of Radiology, Zigong First People's Hospital, Zigong, China.
Yan LiDepartment of Radiology, Zigong First People's Hospital, Zigong, China.
Ling TangDepartment of Radiology, Zigong First People's Hospital, Zigong, China.
Hongfu DanDepartment of Radiology, Zigong First People's Hospital, Zigong, China.
Chao YuanDepartment of Radiology, Zigong First People's Hospital, Zigong, China.
Jianquan ZhongDepartment of Radiology, Zigong First People's Hospital, Zigong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To compare the application value of conventional single-shot echo planar imaging (SS-EPI), simultaneous multi-slice single-shot echo planar imaging (SMS + SS-EPI), and simultaneous multi-slice segmented readout isotropic acquisition in diffusion weighted imaging (SMS + RESOLVE-ISO DWI) for subacute early small artery occlusive cerebral infarction. Methods: A retrospective analysis was conducted on 60 patients with subacute early small artery occlusive cerebral infarction, who were treated with SS-EPI-ISO DWI, SMS + SS-EPI-ISO DWI, and SMS + RESOLVE-ISO DWI sequence was used for 1.5 mm isovoxel acquisition. Two radiologists independently assessed the image quality, combining multi-planar reconstruction (MPR), 3-Dimensional fluid attenuated inversion recovery (3D-FLAIR), and apparent diffusion coefficient (ADC) images to evaluate the number of infarct lesions. And subjective and objective evaluations of the image quality were conducted. Objective evaluations include contrast, signal-to-noise ratio (SNR), time SNR (tSNR), contrast-to-noise ratio (CNR) and ADC. Friedman's test was used to analyze image indicators, Weighted Kappa test was employed to assess the consistency of subjective score, and intraclass correlation coefficient (ICC) was used to analyze the consistency of measurement results. Results: The scanning times for SS-EPI-ISO DWI, SMS + SS-EPI-ISO DWI, and SMS + RESOLVE-ISO DWI were 3:06, 1:38, and 4:51 min, respectively. The number of infarcted lesions showed that both SS-EPI-ISO DWI and SMS + SS-EPI-ISO DWI detected 129 lesions, while SMS + RESOLVE-ISO DWI detected 123 lesions. Subjective evaluation showed that SMS + RESOLVE-ISO DWI was superior to the other sequences in terms of overall image quality, artifacts, and geometric distortions ( Conclusion: SMS + SS-EPI-ISO DWI achieves image quality comparable to that of SS-EPI-ISO DWI while shortening the scanning time. Although its suppression effect on artifacts and geometric distortion is not as good as that of the SMS + RESOLVE-ISO DWI sequence, the clarity of lesion display is similar to that of the SS-EPI-ISO DWI sequence. Therefore, it is suitable for the diagnosis of subacute early small artery occlusive cerebral infarction.

Indexed as

diffusion weighted imagingecho planar imagingisotropysimultaneous multi-slicesmall artery occlusive cerebral infarction

Identifiers

PMID41919132
PMCPMC13034567

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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.