About different localization of hypoattenuated lesions following transcatheter aortic valve replacement.

Hypoattenuated lesions Subclinical leaflet thrombosis Transcatheter aortic valve replacement

Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 01 10 2023
revised: 29 10 2023
accepted: 14 11 2023
pubmed: 19 11 2023
medline: 19 11 2023
entrez: 18 11 2023
Statut: aheadofprint

Résumé

Subclinical leaflet thrombosis is diagnosed using multidetector computed tomography (MDCT) and is characterised by a meniscal-shaped hypoattenuated lesion of one or more leaflets. Transcatheter aortic self-expandable valves are commonly manufactured with pliable pericardium over a nitinol frame that forms leaflet and extra-leaflet components such as the valve skirt. Little is known about extra-leaflet hypoattenuated lesion localisation, including that at the anatomical sinus level. Thus, the main aim of this study was to describe leaflet and extra-leaflet (anatomic sinus and subvalvular level) hypoattenuated lesions following transcatheter aortic valve replacement with a self-expandable prosthesis. As a secondary aim, we sought to investigate predictors of hypoattenuated lesions. Fifty patients underwent MDCT at the follow-up. At a follow-up of 12 months, hypoattenuated leaflet lesions with mild to severe restricted movement were detected in eight individuals (16%), anatomic sinus lesions were identified in nine patients (18%), with higher prevalence in the non-coronary sinus (16%), and subvalvular lesions with variable extension toward the valve inflow were diagnosed in eight patients (16%). In 4 patients (8%) the anatomic sinus thrombus was 'in overlap' with leaflet thrombus; in 3 patients (6%) was in continuity with subvalvular frame thrombus. Bicuspid valve was the only independent predictor associated with hypoattenuated lesions (adj OR 8.25 (95% CI: 1.38, 49.21), p = 0.02)). This study demonstrated that hypoattenuated lesions could be identified not only at the leaflet but also at the subvalvular and anatomic sinus levels. The clinical relevance of such lesions remains unclear.

Sections du résumé

BACKGROUND BACKGROUND
Subclinical leaflet thrombosis is diagnosed using multidetector computed tomography (MDCT) and is characterised by a meniscal-shaped hypoattenuated lesion of one or more leaflets. Transcatheter aortic self-expandable valves are commonly manufactured with pliable pericardium over a nitinol frame that forms leaflet and extra-leaflet components such as the valve skirt. Little is known about extra-leaflet hypoattenuated lesion localisation, including that at the anatomical sinus level. Thus, the main aim of this study was to describe leaflet and extra-leaflet (anatomic sinus and subvalvular level) hypoattenuated lesions following transcatheter aortic valve replacement with a self-expandable prosthesis. As a secondary aim, we sought to investigate predictors of hypoattenuated lesions.
METHODS METHODS
Fifty patients underwent MDCT at the follow-up.
RESULTS RESULTS
At a follow-up of 12 months, hypoattenuated leaflet lesions with mild to severe restricted movement were detected in eight individuals (16%), anatomic sinus lesions were identified in nine patients (18%), with higher prevalence in the non-coronary sinus (16%), and subvalvular lesions with variable extension toward the valve inflow were diagnosed in eight patients (16%). In 4 patients (8%) the anatomic sinus thrombus was 'in overlap' with leaflet thrombus; in 3 patients (6%) was in continuity with subvalvular frame thrombus. Bicuspid valve was the only independent predictor associated with hypoattenuated lesions (adj OR 8.25 (95% CI: 1.38, 49.21), p = 0.02)).
CONCLUSIONS CONCLUSIONS
This study demonstrated that hypoattenuated lesions could be identified not only at the leaflet but also at the subvalvular and anatomic sinus levels. The clinical relevance of such lesions remains unclear.

Identifiants

pubmed: 37979790
pii: S0167-5273(23)01687-X
doi: 10.1016/j.ijcard.2023.131597
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

131597

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest No conflict of interest.

Auteurs

Marco Moscarelli (M)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy. Electronic address: m.moscarelli@imperial.ac.uk.

Giulia Sollami (G)

Dept. of Radiology, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Emanuele Lentini (E)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Rosa Prestera (R)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Vincenzo Pernice (V)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Sabrina Milo (S)

Dept. of Radiology, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Francesco Violante (F)

Dept. of Radiology, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Federico Cuffari (F)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Claudia Di Pasquale (C)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Angelo Ferlisi (A)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy.

Ludovico La Grutta (L)

Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.

Emanuele Grassedonio (E)

Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.

Giuseppe Speziale (G)

Dept. of Cardiovascular Surgery, Anthea Hospital, GVM Care&Research, Bari, Italy.

Khalil Fattouch (K)

Dept. of Cardiovascular Surgery, Maria Eleonora Hospital, GVM Care&Research, Palermo, Italy; University of Palermo, DICHIRONS, Palermo, Italy.

Classifications MeSH