Evidence map›Paper›PMID 39572169›Full record

ArticleStroke and vascular neurology2025

0.23-Tesla MRI to differentiate between ischaemic and haemorrhagic strokes within 24 hours of onset: a combined experimental-clinical study.

Xuewei Xie, Qianmei Jiang, Yue Suo, Chong Han, Zhaobin Wang, Zhe Zhang, Ning Wang, Yihuai Wang, Chunguang Zhang, Bingshan Xue and 4 more

Abstract read
In one paragraph

Article in Stroke and vascular neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Xuewei Xie *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-8154-1957
Qianmei Jiang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yue SuoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-0632-0262
Chong HanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhaobin WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0009-0004-8197-4073
Zhe ZhangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ning WangDepartment of Neurosurgery, Xuanwu Hospital, Beijing, China.
Yihuai WangRay Plus Medical Technology, Foshan, Guangdong, China.
Chunguang ZhangRay Plus Medical Technology, Foshan, Guangdong, China.
Bingshan XueRay Plus Medical Technology, Foshan, Guangdong, China.
Tao LiuBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.ORCID http://orcid.org/0000-0002-7783-3073
David WangDepartment of Neurology, University of Illinois College of Medicine at Peoria, Peoria, Illinois, USA.ORCID http://orcid.org/0000-0003-2277-4608
Jing Jing *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-9822-5758
Yongjun Wang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China yongjunwang@ncrcnd.org.cn.ORCID http://orcid.org/0000-0002-9976-2341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe low-field MRI is a promising tool to accurately diagnose strokes. We here report our study on the accuracy of a 0.23-Tesla (0.23-T) MRI using the haematoma enhanced inversion recovery (HEIR) sequence to detect acute ischaemic stroke (AIS) and intracerebral haemorrhage (ICH) within 24 hours of symptom onset.

methodsA novel HEIR sequence based on fluid-attenuated inversion recovery T1-weighted, with a scanning time of 1 min and 17 s, was developed using an ICH and AIS pig model on a 0.23-T MRI. Images of the pig model were obtained hourly for 24 hours in order to monitor value changes on T1/T2 and verify the differential diagnosis of AIS and ICH. Then, 30 patients with AIS and 30 patients with ICH with confirmed diagnoses by 3T-MRI/CT were included. Diagnostic criteria on a 0.23-T MRI for ICH was the hyperintensity signal on both the diffusion-weighted imaging (DWI) and HEIR sequence, while for AIS was the hyperintensity on DWI and isointensity on the HEIR sequence. Two blinded raters independently assessed the images obtained by the 0.23-T MRI for the presence of ICH/AIS.

resultsIn the pig model, setting the inversion time to 800 ms enabled clear differentiation of ICH from brain parenchymal tissue and AIS. In real patients, a correct 0.23-T MRI diagnosis of either an AIS or ICH was made in all 60 patients within 24 hours of symptom onset (100% overall accuracy). No adverse events occurred.

conclusionsThe 0.23-T MRI may have the potential to differentiate cerebral haemorrhage from cerebral infarction with both speed and accuracy, making brain MRI scans easier, faster and cheaper. It might be possible to improve the screening imaging process for strokes in the emergency room. Further multicentre studies are needed to validate our findings.

Indexed as

Diffusion Magnetic Resonance ImagingHemorrhagic StrokeIschemic StrokeMagnetic Resonance ImagingAgedAged, 80 and overAnimalsDiagnosis, DifferentialDisease Models, AnimalFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsSwineHaemorrhageMagnetic Resonance ImagingStroke

Identifiers

PMID39572169
PMCPMC12415649

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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.