Automated left ventricular diastolic function evaluation from phase-contrast cardiovascular magnetic resonance and comparison with Doppler echocardiography

Autor: Muriel Lefort, Alban Redheuil, Ludivine Perdrix, Elie Mousseaux, Magalie Ladouceur, Alain Herment, Stephanie Clement-Guinaudeau, Nadjia Kachenoura, Alain De Cesare, Emilie Bollache, Carine Defrance, Benoit Diebold
Přispěvatelé: BMC, Ed., Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Radiologie [CHU HEGP], Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), NK is supported by a grant from 'la Fondation Lefoulon-Delalande-Institut de France'.
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Male
lcsh:Diseases of the circulatory (Cardiovascular) system
MESH: Echocardiography
Doppler
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Contrast Media
MESH: Automation
Laboratory
030204 cardiovascular system & hematology
Doppler echocardiography
MESH: Observer Variation
Severity of Illness Index
MESH: Stroke Volume
Ventricular Function
Left
MESH: Ventricular Function
Left
030218 nuclear medicine & medical imaging
MESH: Magnetic Resonance Imaging
Ventricular Dysfunction
Left
0302 clinical medicine
MESH: Aged
80 and over
Diastole
MESH: Early Diagnosis
MESH: Ventricular Dysfunction
Left
MESH: Aortic Valve Stenosis
Aged
80 and over
Observer Variation
Medicine(all)
MESH: Aged
MESH: Myocardial Perfusion Imaging
MESH: Middle Aged
Radiological and Ultrasound Technology
medicine.diagnostic_test
MESH: Diastole
MESH: Paris
Myocardial Perfusion Imaging
Stroke volume
MESH: Blood Flow Velocity
Middle Aged
Magnetic Resonance Imaging
MESH: Case-Control Studies
Echocardiography
Doppler
MESH: Predictive Value of Tests
[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
MESH: Reproducibility of Results
MESH: Young Adult
Aortic valve stenosis
Cardiology
Female
Radiology
Cardiology and Cardiovascular Medicine
Blood Flow Velocity
Adult
medicine.medical_specialty
Paris
MESH: Coronary Circulation
Sensitivity and Specificity
03 medical and health sciences
Myocardial perfusion imaging
Young Adult
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Predictive Value of Tests
Internal medicine
Coronary Circulation
MESH: Severity of Illness Index
MESH: Contrast Media
medicine
Humans
Radiology
Nuclear Medicine and imaging
Aged
Automation
Laboratory
MESH: Humans
E/A ratio
business.industry
Research
Reproducibility of Results
Magnetic resonance imaging
Stroke Volume
MESH: Adult
Aortic Valve Stenosis
MESH: ROC Curve
medicine.disease
MESH: Sensitivity and Specificity
MESH: Male
Early Diagnosis
[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging
ROC Curve
lcsh:RC666-701
Heart failure
Case-Control Studies
business
MESH: Female
Zdroj: Journal of Cardiovascular Magnetic Resonance
Journal of Cardiovascular Magnetic Resonance, BioMed Central, 2010, 12 (1), pp.63. ⟨10.1186/1532-429X-12-63⟩
Journal of Cardiovascular Magnetic Resonance, Vol 12, Iss 1, p 63 (2010)
Journal of Cardiovascular Magnetic Resonance, 2010, 12 (1), pp.63. ⟨10.1186/1532-429X-12-63⟩
ISSN: 1097-6647
1532-429X
DOI: 10.1186/1532-429X-12-63⟩
Popis: Background Early detection of diastolic dysfunction is crucial for patients with incipient heart failure. Although this evaluation could be performed from phase-contrast (PC) cardiovascular magnetic resonance (CMR) data, its usefulness in clinical routine is not yet established, mainly because the interpretation of such data remains mostly based on manual post-processing. Accordingly, our goal was to develop a robust process to automatically estimate velocity and flow rate-related diastolic parameters from PC-CMR data and to test the consistency of these parameters against echocardiography as well as their ability to characterize left ventricular (LV) diastolic dysfunction. Results We studied 35 controls and 18 patients with severe aortic valve stenosis and preserved LV ejection fraction who had PC-CMR and Doppler echocardiography exams on the same day. PC-CMR mitral flow and myocardial velocity data were analyzed using custom software for semi-automated extraction of diastolic parameters. Inter-operator reproducibility of flow pattern segmentation and functional parameters was assessed on a sub-group of 30 subjects. The mean percentage of overlap between the transmitral flow segmentations performed by two independent operators was 99.7 ± 1.6%, resulting in a small variability ( 0.71) and receiver operating characteristic (ROC) analysis revealed their ability to separate patients from controls, with sensitivity > 0.80, specificity > 0.80 and accuracy > 0.85. Slight superiority in terms of correlation with echocardiography (r = 0.81) and accuracy to detect LV abnormalities (sensitivity > 0.83, specificity > 0.91 and accuracy > 0.89) was found for the PC-CMR flow-rate related parameters. Conclusions A fast and reproducible technique for flow and myocardial PC-CMR data analysis was successfully used on controls and patients to extract consistent velocity-related diastolic parameters, as well as flow rate-related parameters. This technique provides a valuable addition to established CMR tools in the evaluation and the management of patients with diastolic dysfunction.
Databáze: OpenAIRE
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