Evidence map›Paper›PMID 42604806›Full record

ArticleAnnals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia2026

Preoperative Risk Stratification of Cerebral Infarction in Aortic Arch Surgery Using Quantitative Atheroma Assessment with Computational Fluid Dynamics.

Hiroki Ikeuchi, Hiroki Kohno, Kaoru Matsuura, Michiko Watanabe, Tomohiko Inui, Yasunori Yakita, Goro Matsumiya

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Article in Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hiroki IkeuchiDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
Hiroki KohnoDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
Kaoru MatsuuraDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
Michiko WatanabeDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
Tomohiko InuiDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
Yasunori YakitaDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.
Goro MatsumiyaDepartment of Cardiovascular Surgery, Chiba University Graduate School of Medicine, Chiba, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe developed a quantitative method to evaluate aortic atheroma and investigated its association with postoperative cerebral infarction (CI) after aortic arch surgery. In addition, computational fluid dynamics (CFD) analysis was performed to explore the underlying hemodynamic mechanisms.

methodsWe retrospectively analyzed 72 patients who underwent aortic arch surgery. Atheroma scores were calculated from preoperative computed tomography, and a qualitative assessment was also performed. Multivariate logistic regression identified risk factors for CI. CFD analysis was conducted in selected patients to provide mechanistic insights.

resultsCI occurred in 8 patients (11.1%). Atheroma scores were significantly higher in patients with CI (P = .02), whereas qualitative assessment did not predict CI. Receiver operating characteristic analysis showed an area under the curve of 0.79 for the ascending aorta, with a cutoff of 352.3. Multivariate analysis including age demonstrated that hemoglobin A1c and an ascending atheroma score ≥352.3 were independent predictors of CI. CFD demonstrated high wall shear stress in the ascending aorta, providing mechanistic insight into embolic events.

conclusionsQuantitative assessment of ascending aortic atheroma provides superior risk stratification compared with qualitative evaluation. CFD findings offer mechanistic insight into embolic risk, supporting the clinical relevance of atheroma burden in aortic arch surgery.

Indexed as

Aorta, ThoracicAortic DiseasesAortographyCerebral InfarctionComputed Tomography AngiographyHemodynamicsModels, CardiovascularPlaque, AtheroscleroticAgedAged, 80 and overFemaleHumansHydrodynamicsMaleMiddle AgedPredictive Value of Testsaortic arch surgeryatherosclerotic changecomputational fluid dynamicscomputed tomographypostoperative cerebral infarction

Identifiers

PMID42604806
PMCPMC13481124

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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.