Evidence map›Paper›PMID 41088976›Full record

ArticleCurrent medical imaging2025

Application Value of Intelligent Quick Magnetic Resonance for Accelerating Brain MR Scanning and Improving Image Quality in Acute Ischemic Stroke

Bo Xue, Dengjie Duan, Junbang Feng, Zhenjun Zhao, Jinkun Tan, Jinrui Zhang, Chao Peng, Chang Li, Chuanming Li

Abstract read
In one paragraph

Article in Current medical imaging, 2025. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bo XueDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.
Dengjie DuanDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.
Junbang FengDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.
Zhenjun ZhaoOperations and Technical Support Department of Shanghai Hummingbird Medical Technology Co., Ltd., Shanghai, China.
Jinkun TanOperations and Technical Support Department of Shanghai Hummingbird Medical Technology Co., Ltd., Shanghai, China.
Jinrui ZhangDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.
Chao PengDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.
Chang LiDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.
Chuanming LiDepartment of Radiology, Chongqing University Central Hospital: Chongqing Emergency Medical Center, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to evaluate the effectiveness of intelligent quick magnetic resonance (IQMR) for accelerating brain MRI scanning and improving image quality in patients with acute ischemic stroke.

methodsIn this prospective study, 58 patients with acute ischemic stroke underwent head MRI examinations between July 2023 and January 2024, including diffusion-weighted imaging and both conventional and accelerated T1-weighted, T2-weighted, and T2 fluid-attenuated inversion recovery fat-saturated (T2-FLAIR) sequences. Accelerated sequences were processed using IQMR, producing IQMR-T1WI, IQMR-T2WI, and IQMR-T2-FLAIR images. Image quality was assessed qualitatively by two readers using a five-point Likert scale (1 = non-diagnostic to 5 = excellent). Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of lesions and surrounding tissues were quantitatively measured. The Alberta Stroke Program Early CT Score (ASPECTS) was used to evaluate ischemia severity.

resultsTotal scan time was reduced from 5 minutes 9 seconds to 2 minutes 40 seconds, accounting for a reduction of 48.22%. IQMR significantly improved SNR/CNR in accelerated sequences (P < .05), achieving parity with routine sequences (P > .05). Qualitative scores for lesion conspicuity and internal display improved post-IQMR (P < .05).. ASPECTS showed no significant difference between IQMR and routine images (P = 0.79; ICC = 0.91-0.93). DISCUSSION: IQMR addressed MRI's slow scanning limitation without hardware modifications, enhancing diagnostic efficiency. The results have been found to align with advancements in deep learning. Limitations included the small sample size and the exclusion of functional sequences.

conclusionIQMR could significantly reduce brain MRI scanning time and enhance image quality in patients with acute ischemic stroke.

Indexed as

Ischemic StrokeMagnetic Resonance ImagingAdultAgedAged, 80 and overBrainFemaleHumansMaleMiddle AgedProspective StudiesSignal-To-Noise RatioAcute ischemic strokefast imagingimage qualityintelligent quick magnetic resonance.magnetic resonance imaging

Identifiers

PMID41088976
PMCPMC13223499

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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.