Evidence map›Paper›PMID 41351859›Full record

ArticleEuropean neurology2026

Association between Internal Carotid Artery Tortuosity and Hemorrhagic Transformation in Patients with Acute Ischemic Stroke.

Jae-Chan Ryu, Sang-Hun Lee, Eun-Tae Jeon, Ha-Na Song, Hangseok Choi, Hwan-Ho Cho, Hyunjin Park, In Young Baek, Kyungseo Kim, Seongvin Ju and 5 more

Abstract read
In one paragraph

Article in European 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
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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

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

15 authors.

Jae-Chan RyuDepartment of Medicine, Graduate School, Korea University, Seoul, Republic of Korea.
Sang-Hun LeeDepartment of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea, huny0029@korea.ac.kr.
Eun-Tae JeonDepartment of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.
Ha-Na SongDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hangseok ChoiMedical Science Research Center, Korea University College of Medicine, Seoul, Republic of Korea.
Hwan-Ho ChoDepartment of Electronics Engineering, Incheon National University, Incheon, Republic of Korea.
Hyunjin ParkDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
In Young BaekDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kyungseo KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Seongvin JuDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Jong-Un ChoiDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Seong-Hoon LeeDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yun-Hwa HaDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ji-Eun LeeDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Woo-Keun SeoDepartment of Neurology and Stroke Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea, mcastenosis@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: Hemorrhagic transformation is one of the most common complications of acute ischemic stroke. However, the association between hemorrhagic transformation and internal carotid artery (ICA) tortuosity has rarely been investigated. This study investigated the effect of ICA tortuosity on hemorrhagic transformation after acute ischemic stroke.

methodsWe conducted a retrospective analysis on stroke patients' data collected from prospective hospital-based stroke registry. The baseline demographics, clinical and radiological variables, including the Fazekas scale, advanced Fazekas scale (grade 0-9), white matter hyperintensity volume, presence of cerebral microbleeds, and hemorrhagic transformation, were compared based on the severity of ICA tortuosity and divided into quartiles (Q1: <25%, Q2+Q3: 25%-75%, and Q4: >75%). ICA tortuosity was examined using in-house vessel analysis software. The primary outcome was hemorrhagic transformation.

resultsA total of 146 patients were analyzed, including 167 ICAs, which were vascular territories with acute cerebral infarction. Among the various risk factors considered, intravenous thrombolysis, endovascular thrombectomy, stroke severity, and ICA tortuosity index were associated with the occurrence of hemorrhagic transformation. In multivariate analysis, ICA tortuosity was also significantly associated with the occurrence of hemorrhagic transformation, while the severity of ICA tortuosity was negatively correlated (Q1: reference, Q2+Q3: 0.27 [0.09-0.84], Q4: 0.14 [0.03-0.70]; p = 0.023 for Q2+Q3, p = 0.016 for Q4).

conclusionsWe identified a paradoxical relationship between ICA tortuosity and hemorrhagic transformation after acute ischemic stroke. Patients with more severe tortuosity experienced fewer hemorrhagic transformations, and vice versa. These findings highlight the potential of ICA tortuosity as a marker for identifying high-risk patients. </p>.

Indexed as

Brain IschemiaCarotid Artery, InternalCerebral HemorrhageIschemic StrokeStrokeAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsHemorrhagic transformationInternal carotid artery tortuosityMachine learningVessel tortuosityWhite matter hyperintensity

Identifiers

PMID41351859
PMCPMC12807496

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LicenceCC BY-NC
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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.