Your browser doesn't support javascript.
loading
Age-related changes of shape and flow dynamics in healthy adult aortas: A 4D flow MRI study.
Callaghan, Fraser M; Bannon, Paul; Barin, Edward; Celemajer, David; Jeremy, Richmond; Figtree, Gemma; Grieve, Stuart M.
Afiliação
  • Callaghan FM; Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia.
  • Bannon P; Sydney Medical School, University of Sydney, Camperdown, Australia.
  • Barin E; Sydney Medical School, University of Sydney, Camperdown, Australia.
  • Celemajer D; Department of Cardiothoracic Surgery, Royal Prince Alfred Hospital, Camperdown, Australia.
  • Jeremy R; Baird Institute, Sydney, Australia.
  • Figtree G; MQ Health Cardiology, Macquarie University Hospital, Macquarie Park, Australia.
  • Grieve SM; Sydney Medical School, University of Sydney, Camperdown, Australia.
J Magn Reson Imaging ; 49(1): 90-100, 2019 01.
Article em En | MEDLINE | ID: mdl-30102443
BACKGROUND: Abnormal flow dynamics play an early and causative role in pathologic changes of the ascending aorta. PURPOSE: To identify: 1) the changes in flow, shape, and size that occur in the ascending aorta with normal human ageing and 2) the influence of these factors on aortic flow dynamics. STUDY TYPE: Retrospective. SUBJECTS: In all, 247 subjects (age range 19-86 years, mean 49 ± 17.7, 169 males) free of aortic or aortic valve pathology were included in this study. Subjects were stratified by youngest (18-33 years; n = 64), highest (>60 years, n = 67), and the middle two quartiles (34-60 years, n = 116). FIELD STRENGTH/SEQUENCE: Subjects underwent a cardiac MRI (3T) exam including 4D-flow MRI of the aorta. ASSESSMENT: Aortic curvature, arch shape, ascending aortic angle, ascending aortic diameter, and the stroke volume normalized by the aortic volume (nSV) were measured. Velocity, vorticity, and helicity were quantified across the thoracic aorta. STATISTICAL TESTS: Univariate and multivariate regressions were used to quantify continuous relationships between variables. RESULTS: Aortic diameter, ascending aortic angle, shape, and curvature all increased across age while nSV decreased (all P < 0.0001). Systolic vorticity in the mid arch decreased by 50% across the age range (P < 0.0001), while peak helicity decreased by 80% (P < 0.0001). Curvature tightly governs optimal flow in the youngest quartile, with an effect size 1.5 to 4 times larger than other parameters in the descending aorta, but had a minimal influence with advancing age. In the upper quartile of age, flow dynamics were almost completely determined by nSV, exerting an effect size on velocity and vorticity >10 times that of diameter and other shape factors. DATA CONCLUSION: Aortic shape influences flow dynamics in younger subjects. Flow conditions become increasingly disturbed with advancing age, and in these conditions nSV has a more dominant effect on flow patterns than shape factors. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;49:90-100.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aorta / Processamento de Imagem Assistida por Computador / Envelhecimento / Imageamento por Ressonância Magnética Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aorta / Processamento de Imagem Assistida por Computador / Envelhecimento / Imageamento por Ressonância Magnética Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article