Evidence map›Paper›PMID 41583026›Full record

ArticleStroke (Hoboken, N.J.)2023

Computed Tomography Perfusion Parameters Predictive of Symptomatic Intracranial Hemorrhage After Mechanical Thrombectomy in Patients With Cerebral Large Vessel Occlusion.

Soichiro Abe, Manabu Inoue, Manabu Shirakawa, Kazutaka Uchida, Kiyofumi Yamada, Yoji Kuramoto, Satoshi Namitome, Seigo Shindo, Fumihiro Sakakibara, Junichi Kouno and 8 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. On old dogs and new tricks: CT perfusion predicts hemorrhagic transformation after thrombectomy.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
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

18 authors.

Soichiro AbeDivision of Stroke Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0001-9528-8702
Manabu InoueDepartment of Cardiovascular Medicine National Cerebral and Cardiovascular Center Osaka Japan.ORCID https://orcid.org/0000-0001-5228-6643
Manabu ShirakawaDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0001-5833-2217
Kazutaka UchidaDivision of Stroke Hyogo Medical University Hyogo Japan.
Kiyofumi YamadaDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0001-8869-6628
Yoji KuramotoDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0002-3652-6261
Satoshi NamitomeDivision of Stroke Hyogo Medical University Hyogo Japan.
Seigo ShindoDepartment of Neurology Japanese Red Cross Kumamoto Hospital Kumamoto Japan.
Fumihiro SakakibaraDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0001-5866-6743
Junichi KounoDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.
Kotaro TatebayashiDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0003-2239-0102
Norito KinjoDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0003-1555-0614
Shoichiro TsujiDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.
Shuichi TanadaDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.
Mikiya BeppuDepartment of Neurosurgery Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0003-3484-5733
Hidetoshi MatsukawaDepartment of Neurology Takaraduka City Hospital Hyogo Japan.ORCID https://orcid.org/0000-0001-8229-4935
Masafumi IharaDepartment of Neurology National Cerebral and Cardiovascular Center Osaka Japan.ORCID https://orcid.org/0000-0002-7102-4048
Shinichi YoshimuraDivision of Stroke Hyogo Medical University Hyogo Japan.ORCID https://orcid.org/0000-0002-3600-4842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemorrhagic transformation after recanalization is a severe complication in patients with a large ischemic core due to cerebral large vessel occlusion. Risk assessment using perfusion imaging to predict hemorrhagic infarction has not been established. Thus, we aimed to investigate the association between perfusion imaging findings and hemorrhagic transformation in patients with acute cerebral large vessel occlusion who had undergone preoperative perfusion imaging evaluation and mechanical thrombectomy. Methods: We enrolled consecutive patients who received mechanical thrombectomy after undergoing perfusion imaging for anterior large vessel occlusion from May 2019 to March 2022. The patients in whom recanalization were not achieved and who experienced procedure-related bleeding were excluded. We investigated the predictors of symptomatic intracranial hemorrhage (sICH) by exploring preoperative perfusion imaging parameters (relative cerebral blood flow, relative cerebral blood volume, time of maximum concentration, and hypoperfusion index ratio). Results: Among the 167 patients (median age 79 years, 47% female) enrolled, 63 (38%) and 14 (8%) patients had any intracranial hemorrhage and sICH (sICH group), respectively. The sICH group had a shorter puncture-recanalization time than the non-sICH group (median [interquartile range (IQR)]; 43 [34-55] versus 61 [37-88]; Conclusion: Among perfusion computed tomography parameters, relative cerebral blood volume is highly associated with sICH after mechanical thrombectomy for cerebral large vessel occlusion. In patients with low relative cerebral blood volume regions, the indication of mechanical thrombectomy should be carefully considered for postoperative intracranial hemorrhage.

Indexed as

CT perfusionlarge ischemic coremechanical thrombectomysymptomatic intracranial hemorrhage

Identifiers

PMID41583026
PMCPMC12778690

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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.