Evidence map›Paper›PMID 41669798›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2026

Do Early Aortic Remodelling Patterns at 6 Months Predict Mid-Term Outcomes After Frozen Elephant Trunk for Chronic Aortic Dissection?

Sho Akita, Yoshiyuki Tokuda, Akinori Tamenishi, Yasumoto Matsumura, Akitaka Hayakawa, Masato Mutsuga

Abstract readMulticenter Study
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 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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1 · What the graph read from it

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2 · The registry

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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

6 authors.

Sho AkitaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8560, Japan.ORCID 0000-0001-7783-9304
Yoshiyuki TokudaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8560, Japan.ORCID 0000-0001-6405-8752
Akinori TamenishiDepartment of Cardiovascular Surgery, Yokkaichi Municipal Hospital, Yokkaichi, Mie, 510-8567, Japan.
Yasumoto MatsumuraDepartment of Cardiovascular Surgery, Yokkaichi Municipal Hospital, Yokkaichi, Mie, 510-8567, Japan.
Akitaka HayakawaDepartment of Cardiovascular Surgery, Yokkaichi Municipal Hospital, Yokkaichi, Mie, 510-8567, Japan.
Masato MutsugaDepartment of Cardiac Surgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8560, Japan.ORCID 0000-0001-9740-2142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine whether CT within 6 months after total arch replacement (TAR) with a frozen elephant trunk (FET) for chronic aortic dissection predicts mid-term outcomes and informs the timing of distal treatment.

methodsWe analysed 56 consecutive patients who underwent TAR with FET at 2 centres (2009-2022) and had evaluable 6-month postoperative CT. Early remodelling was defined as the change from baseline to 6 months in the maximal outer-to-outer diameter of the proximal descending thoracic aorta at Level A (Ishimaru zone 3, 20 mm distal to the left subclavian artery, measured on centreline-orthogonal reconstructions). Patients were classified as early positive remodelling (EPR; no increase or a decrease) or early negative remodelling (ENR; ≥1-mm increase). Prespecified outcomes were distal aortic reintervention, distal stent graft-induced new entry (dSINE), and overall survival.

resultsMean follow-up was 5.4 years (standard deviation 3.7). Distal reintervention was required in 36/56 patients (64%). At 5 years, freedom from distal reintervention was higher with EPR than with ENR (44.6% vs 6.2%; P = .003). dSINE occurred in 26/56 patients (46.4%); 5-year dSINE-free survival was 65.1% (95% CI, 39.6-81.9) with EPR versus 18.2% (95% CI 5.9-35.2) with ENR (P = .008). Overall, 5-year survival for the cohort was 80.0% (95% CI 64.7-89.2). Among ENR patients, 5-year survival was 0% with conservative management versus 40.5% with distal intervention (P < .001); within EPR, 5-year survival was 65.9% with conservative management versus 85.7% with reintervention (P = .210).

conclusionsA 6-month CT provides simple, actionable risk stratification after TAR with FET for chronic aortic dissection. Absence of EPR identifies a high-risk subgroup (ENR) that warrants closer surveillance and timely distal intervention, optimizing follow-up intensity and treatment timing.

Indexed as

Aorta, ThoracicAortic Aneurysm, ThoracicBlood Vessel Prosthesis ImplantationDissection, Thoracic AortaVascular RemodelingAgedBlood Vessel ProsthesisChronic DiseaseComputed Tomography AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsTomography, X-Ray Computedaortic remodelingchronic aortic dissectionfrozen elephant trunk

Identifiers

PMID41669798
PMCPMC12944824

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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.