Evidence map›Paper›PMID 42374239›Full record

ArticleBMC neurology2026

Mismatch-time ratio combined with ASPECTS: a novel indicator of favorable prognosis in multimodal ct prediction of anterior circulation large vessel occlusion.

Yan Huang, Chu Zhou, Rongrong Liu, Wei Li, Qiyang Yuan, He Ma, Yukun Wang, Ruicheng Zhang, Chongke Zhong, Ruoyu Qin and 4 more

Abstract read
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

14 authors.

Yan Huang *Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Chu Zhou *Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Rongrong Liu *Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Wei Li *Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Qiyang YuanXuzhou Medical University, Xuzhou, Jiangsu Province, China.
He MaAffiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
Yukun WangXuzhou Medical University, Xuzhou, Jiangsu Province, China.
Ruicheng ZhangXuzhou Medical University, Xuzhou, Jiangsu Province, China.
Chongke ZhongDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Soochow, Jiangsu Province, China.
Ruoyu QinXuzhou Medical University, Xuzhou, Jiangsu Province, China.
Fenfang GaoXuzhou Medical University, Xuzhou, Jiangsu Province, China.
Yanbo ChengXuzhou Medical University, Xuzhou, Jiangsu Province, China. cyanbo@126.com.
Shiguang ZhuXuzhou Medical University, Xuzhou, Jiangsu Province, China. sgzhuxyfy@126.com.
Deqin GengXuzhou Medical University, Xuzhou, Jiangsu Province, China. gengdeqin@126.com.

Funding

Research Project on Integrated Management of Chronic Diseases by Traditional Chinese Medicine and Western Medicine CXZH2024036 24Xuzhou Promoting Science and Technology Innovation Project KC22241
6 · The paper itself

Abstract

backgroundPatients with acute ischemic stroke from large vessel occlusion (AIS-LVO) require computed tomography(CT) at stroke centers to determine eligibility for endovascular therapy (EVT).However, the performance of prognostic prediction methods using multimodal CT remains unclear. This study aimed to investigate the significance of the mismatch-time ratio (MTR) of CT perfusion imaging (CTP) parameters of conjunction with Alberta Stroke Program Early Computed Tomography Score (ASPECTS) in non-contrast CT (NCCT) for predicting short-term prognosis following EVT in patients with anterior circulation AIS-LVO.

methodsPatients with anterior circulation AIS-LVO who underwent EVT at the stroke specialty alliance of the Affiliated Hospital of Xuzhou Medical University from February 2023 to October 2024 were retrospectively were retrospectively included. The mismatch ratio defined by CTP parameters and the ratio of time from onset to CTP (T) were designated as the MTR. Based on the modified Rankin Scale (mRS) at 90 days after EVT, patients were categorized into a favorable prognosis group (mRS ≤ 3) and an adverse prognosis group (mRS > 3). Independent prognostic factors for favorable prognosis at 90 days post-EVT in patients with AIS-LVO were determined by univariate logistic regression and stepwise regression analyses. The predictive performance of MTR alone and the combined predictive efficacy of MTR with ASPECTS was compared via receiver operating characteristic (ROC) curve analysis for prognosis at 90 days post-EVT.

results105 patients were enrolled, comprising 44 in the favorable prognosis group and 61 in the adverse prognosis group. Stepwise regression analysis revealed that MTR (OR = 2.072, P = 0.015, 95% CI: 1.155-3.719) and ASPECTS (OR = 2.363, P = 0.001, 95% CI: 1.445-3.866) were independent predictors of favorable prognosis. ROC curve analysis showed that MTR alone predicted a positive prognosis at 90 days post-EVT for AIS-LVO, with an AUC of 0.778 (P < 0.001). The combination of MTR and ASPECTS predicted a favorable prognosis at 90 days post-EVT for AIS-LVO, yielding an AUC of 0.828 (P < 0.001).

conclusionMTR serves as a novel imaging biomarker indicating positive short-term prognosis for EVT in patients with anterior circulation AIS-LVO. The integration of MTR with ASPECTS enhances the prognostic accuracy of EVT in patients with anterior circulation AIS-LVO.

Indexed as

Ischemic StrokeTomography, X-Ray ComputedAgedEndovascular ProceduresFemaleHumansMaleMiddle AgedMultimodal ImagingPerfusion ImagingPrognosisRetrospective StudiesAcute ischemic stroke with large vessel occlusionEndovascular thrombectomyMismatch–time ratioShort-term outcome

Identifiers

PMID42374239
PMCPMC13579892

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.