Non-invasive prediction of genotype positive-phenotype negative in hypertrophic cardiomyopathy by 3D modern shape analysis.


Journal

Experimental physiology
ISSN: 1469-445X
Titre abrégé: Exp Physiol
Pays: England
ID NLM: 9002940

Informations de publication

Date de publication:
11 2019
Historique:
received: 02 01 2019
accepted: 14 08 2019
pubmed: 20 8 2019
medline: 11 8 2020
entrez: 20 8 2019
Statut: ppublish

Résumé

What is the central question of this study? Can impaired deformational indicators for genotype positive for hypertrophic cardiomyopathy in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-) be determined using non-invasive 3D echocardiography? What is the main finding and its importance? Using 3D-STE and modern shape analysis, peculiar deformational impairments can be detected in G+LVH- subjects that can be classified with good accuracy. Moreover, the patterns of impairment are located mainly on the apical region in agreement with other evidence coming from previous biomechanical investigations. We propose a non-invasive procedure for predicting genotype positive for hypertrophic cardiomyopathy (HCM) in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-); the procedure is based on the enhanced analysis of medical imaging from 3D speckle tracking echocardiography (3D-STE). 3D-STE, due to its low quality images, has not been used so far to detect effectively the G+LVH- condition. Here, we post-processed echocardiographic images exploiting the tools of modern shape analysis, and we studied the motion of the left ventricle (LV) during an entire cycle. We enrolled 82 controls, 21 HCM patients and 11 G+LVH- subjects. We followed two steps: (i) we selected the most impaired regions of the LV by analysing its strains; and (ii) we used shape analysis on these regions to classify the subjects. The G+LVH- subjects showed different trajectories and deformational attributes. We found high classification performance in terms of area under the receiver operating characteristic curve (∼90), sensitivity (∼78) and specificity (∼79). Our results showed that (i) G+LVH- subjects present important deformational impairments relative to healthy controls and (ii) modern shape analysis can efficiently predict genotype by means of a non-invasive and inexpensive technique such as 3D-STE.

Identifiants

pubmed: 31424582
doi: 10.1113/EP087551
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1688-1700

Subventions

Organisme : Università di Roma
ID : AI2617PT9LE
Pays : International

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2019 The Authors. Experimental Physiology © 2019 The Physiological Society.

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Auteurs

Paolo Piras (P)

Department of Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, Sapienza Università di Roma, Rome, 00161, Italy.

Concetta Torromeo (C)

Department of Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, Sapienza Università di Roma, Rome, 00161, Italy.

Antonietta Evangelista (A)

Ospedale San Giovanni Calibita Fatebenefratelli Isola Tiberina, Rome, 00186, Italy.

Giuseppe Esposito (G)

Department of Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, Sapienza Università di Roma, Rome, 00161, Italy.

Paola Nardinocchi (P)

Department of Structural Engineering & Geotechnics, Sapienza Università di Roma, Rome, 00161, Italy.

Luciano Teresi (L)

Department of Mathematics & Physics, Roma Tre University, Rome, 00146, Italy.

Andrea Madeo (A)

Ospedale San Camillo-Forlanini, Rome, 00152, Italy.

Federica Re (F)

Ospedale San Camillo-Forlanini, Rome, 00152, Italy.

Claudia Chialastri (C)

Ospedale San Camillo-Forlanini, Rome, 00152, Italy.

Michele Schiariti (M)

Department of Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, Sapienza Università di Roma, Rome, 00161, Italy.

Valerio Varano (V)

Department of Architecture, Roma Tre University, Rome, 00146, Italy.

Paolo Emilio Puddu (PE)

Department of Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, Sapienza Università di Roma, Rome, 00161, Italy.

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