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MRI in CFD for chronic type B aortic dissection: Ready for prime time?
Wang, Qingdi; Guo, Xiaojing; Brooks, Mark; Chuen, Jason; Poon, Eric K W; Ooi, Andrew; Lim, Ruth P.
Afiliação
  • Wang Q; Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia. Electronic address: qingdiw@student.unimelb.edu.au.
  • Guo X; Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia.
  • Brooks M; Department of Radiology, Austin Health, Heidelberg, VIC, 3084, Australia; School of Medicine, Deakin University, Melbourne, Australia.
  • Chuen J; Department of Surgery, Austin Health, Heidelberg, VIC, 3084, Australia; Department of Surgery, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Fitzroy, VIC, 3065, Australia.
  • Poon EKW; Department of Medicine, St Vincent's Hospital, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Fitzroy, VIC, 3065, Australia.
  • Ooi A; Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia.
  • Lim RP; Department of Radiology, Austin Health, Heidelberg, VIC, 3084, Australia; Department of Surgery, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Fitzroy, VIC, 3065, Australia; Department of Radiology, Faculty of Medicine, Dentistry and Health Sciences, The University
Comput Biol Med ; 150: 106138, 2022 11.
Article em En | MEDLINE | ID: mdl-36191393
ABSTRACT

OBJECTIVES:

Better tools are needed for risk assessment of Type B aortic dissection (TBAD) to determine optimal treatment for patients with uncomplicated disease. Magnetic resonance imaging (MRI) has the potential to inform computational fluid dynamics (CFD) simulations for TBAD by providing individualised quantification of haemodynamic parameters, for assessment of complication risks. This systematic review aims to present an overview of MRI applications for CFD studies of TBAD.

METHODS:

Following PRISMA guidelines, a search in Medline, Embase, and the Scopus Library identified 136 potentially relevant articles. Studies were included if they used MRI to inform CFD simulation in TBAD.

RESULTS:

There were 20 articles meeting the inclusion criteria. 19 studies used phase contrast MRI (PC-MRI) to provide data for CFD flow boundary conditions. In 12 studies, CFD haemodynamic parameter results were validated against PC-MRI. In eight studies, geometric models were developed from MR angiography. In three studies, aortic wall or intimal flap motion data were derived from PC/cine MRI.

CONCLUSIONS:

MRI provides complementary patient-specific information in CFD haemodynamic studies for TBAD that can be used for personalised care. MRI provides structural, dynamic and flow data to inform CFD for pre-treatment planning, potentially advancing its integration into clinical decision-making. The use of MRI to inform CFD in TBAD surgical planning is promising, however further validation and larger cohort studies are required.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrodinâmica / Dissecção Aórtica Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrodinâmica / Dissecção Aórtica Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article