Evidence map›Paper›PMID 40418407›Full record

ArticleActa neurochirurgica2025

Investigation of the hyperperfusion phenomenon following carotid artery stenting using preoperative computed tomography perfusion imaging.

Hiroyuki Yamamoto, Daisuke Maruyama, Masataka Nanto, Naoya Hashimoto

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Article in Acta neurochirurgica, 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hiroyuki YamamotoDepartment of Neurosurgery, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan. hyama55@koto.kpu-m.ac.jp.ORCID 0000-0002-8159-1484
Daisuke MaruyamaDepartment of Neurosurgery, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan.
Masataka NantoDepartment of Neurosurgery, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan.
Naoya HashimotoDepartment of Neurosurgery, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to identify the most effective parameters of computed tomography perfusion imaging (CTP) using the Bayesian estimation to predict hyperperfusion phenomenon (HPP) risk after carotid artery stenting (CAS).

methodsWe retrospectively analyzed 46 patients who underwent CAS with preoperative CTP and preoperative and postoperative

resultsHPP occurred in four patients, with one developing cerebral hemorrhage. Significant differences were observed between the HPP and non-HPP groups in CBV (p = 0.001), MTT (p = 0.003), and TTP ratio (p = 0.011), and preoperative AI (p = 0.021). Among the CTP parameters and preoperative AI, the CBV ratio showed a positive correlation with the postoperative AI (r = 0.63, p < 0.01). The CBV ratio demonstrated the highest area under the curve (AUC) for predicting HPP (AUC = 0.95). However, after Benjamini-Hochberg correction, statistical significance was lost (adjusted p = 0.07).

conclusionThis study evaluated the predictive value of preoperative CTP using the Bayesian estimation method for identifying HPP risk after CAS. CBV ratio may serve as a potential parameter for predicting HPP.

Indexed as

Carotid StenosisCerebrovascular CirculationPerfusion ImagingPostoperative ComplicationsStentsTomography, X-Ray ComputedAgedBayes TheoremFemaleHumansMaleMiddle AgedPreoperative CareRetrospective StudiesTomography, Emission-Computed, Single-PhotonCarotid artery stentingComputed tomography perfusion imagingHyperperfusion phenomenonHyperperfusion syndromeSingle photon emission computed topography

Identifiers

PMID40418407
PMCPMC12106584

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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.