Evidence map›Paper›PMID 41500558›Full record

ArticleOpen heart2026

Anatomical severity of Ebstein's anomaly: a quantitative analysis based on cardiovascular MRI.

Giulia Pasqualin, Francesco Sturla, Beatrice Cavazza, Lara Tondi, Massimiliana Abbate, Francesca Bevilacqua, Federica Torchio, Marina Hughes, Emanuele Micaglio, Massimo Lombardi and 5 more

Abstract read
In one paragraph

Article in Open heart, 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

What it found

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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

15 authors.

Giulia PasqualinPediatric and Congenital Heart Disease Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Francesco Sturla3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy francesco.sturla@grupposandonato.it.ORCID http://orcid.org/0000-0001-7317-304X
Beatrice CavazzaPediatric and Congenital Heart Disease Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Lara TondiMultimodality Imaging Cardiac Section, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Massimiliana AbbatePediatric and Congenital Heart Disease Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Francesca BevilacquaPediatric and Congenital Heart Disease Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Federica TorchioDepartment of Congenital Cardiac Surgery, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Marina HughesNorfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK.
Emanuele MicaglioArrhythmia and Electrophysiology Department, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Massimo LombardiMultimodality Imaging Cardiac Section, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Pietro SpagnoloUnit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Carlo PapponeArrhythmia and Electrophysiology Department, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Emanuela AngeliDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Massimo ChessaPediatric and Congenital Heart Disease Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID http://orcid.org/0000-0001-7432-4815
Alessandro GiambertiDepartment of Congenital Cardiac Surgery, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEbstein's anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic approach to risk stratification. While the Carpentier classification (CC) is commonly employed for qualitative disease assessment, there is increasing interest in quantitative imaging parameters to personalise monitoring strategies and therapeutic interventions. We sought to evaluate the association between cardiovascular magnetic resonance (CMR) parameters, CC and symptoms of heart failure (HF). Also, we investigated whether CMR-derived markers may predict the need for bidirectional cavopulmonary anastomosis (BCPA) and the occurrence of haemodynamic complications or significant right ventricular (RV) dysfunction in the postoperative stay.

methodsThis retrospective study evaluated consecutive patients diagnosed with EA undergoing 1.5T CMR acquisition at a tertiary care centre. CC and quantitative indices were extracted from steady-state free precession sequences.

resultsIn a total population of 60 patients (53% male, median age 22 years), CMR parameters most strongly associated (p<0.001) with CC included indexed displacement of the septal (SLDi) and inferior (ILDi) leaflets, Ebstein valve rotation angle, functional RV ejection fraction, indexed atrialised RV end-diastolic volume and the ratio of either atrialised or functional RV to anatomical RV. Decreasing left ventricular ejection fraction (OR 0.85, 95% CI 0.75 to 0.97, p=0.01) and increasing ILDi (OR 1.05, 95% CI 1.00 to 1.10, p=0.04) emerged as the most prominent variables associated with HF symptoms. Additionally, ILDi was significantly linked to the need for BCPA (OR 1.15, 95% CI 1.03 to 1.28), the occurrence of haemodynamic complications (OR 1.09, 95% CI 1.01 to 1.18) and significant RV dysfunction in the postoperative stay (OR 1.08, 95% CI 1.01 to 1.17).

conclusionsQuantitative CMR indices proved to be effective in distinguishing between Carpentier classes and they may be valuable in an integrated CMR-based approach to assess EA severity. Among these, ILDi reflects both the extent of tricuspid valve abnormality and RV atrialisation and may serve as a useful metric in guiding personalised therapeutic strategies.

Indexed as

Ebstein AnomalyMagnetic Resonance Imaging, CineVentricular Function, RightAdolescentAdultChildFemaleHumansMalePredictive Value of TestsRetrospective StudiesSeverity of Illness IndexStroke VolumeVentricular Function, LeftYoung AdultCongenital AbnormalitiesHeart Defects, CongenitalMagnetic Resonance ImagingRisk Factors

Identifiers

PMID41500558
PMCPMC12778227

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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.