Literature DB >> 31111616

Quantitative cardiac MRI.

Andreas Seraphim1,2, Kristopher D Knott1,2, Joao Augusto1,2, Anish N Bhuva1,2, Charlotte Manisty1,2, James C Moon1,2.   

Abstract

Cardiac MRI has become an indispensable imaging modality in the investigation of patients with suspected heart disease. It has emerged as the gold standard test for cardiac function, volumes, and mass and allows noninvasive tissue characterization and the assessment of myocardial perfusion. Quantitative MRI already has a key role in the development and incorporation of machine learning in clinical imaging, potentially offering major improvements in both workflow efficiency and diagnostic accuracy. As the clinical applications of a wide range of quantitative cardiac MRI techniques are being explored and validated, we are expanding our capabilities for earlier detection, monitoring, and risk stratification of disease, potentially guiding personalized management decisions in various cardiac disease models. In this article we review established and emerging quantitative techniques, their clinical applications, highlight novel advances, and appraise their clinical diagnostic potential. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:693-711.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  machine learning; mapping; perfusion; quantitative; tissue characterization

Mesh:

Year:  2019        PMID: 31111616     DOI: 10.1002/jmri.26789

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

Review 1.  Next-Generation Hardware Advances in CT: Cardiac Applications.

Authors:  Alan C Kwan; Amir Pourmorteza; Dan Stutman; David A Bluemke; João A C Lima
Journal:  Radiology       Date:  2020-11-17       Impact factor: 11.105

Review 2.  Clinical quantitative MRI and the need for metrology.

Authors:  Matt T Cashmore; Aaron J McCann; Stephen J Wastling; Cormac McGrath; John Thornton; Matt G Hall
Journal:  Br J Radiol       Date:  2021-03-12       Impact factor: 3.039

Review 3.  Advanced imaging for risk stratification for ventricular arrhythmias and sudden cardiac death.

Authors:  Eric Xie; Eric Sung; Elie Saad; Natalia Trayanova; Katherine C Wu; Jonathan Chrispin
Journal:  Front Cardiovasc Med       Date:  2022-08-22

Review 4.  Cardiac Imaging in Athlete's Heart: The Role of the Radiologist.

Authors:  Marco Fogante; Giacomo Agliata; Maria Chiara Basile; Paolo Compagnucci; Giovanni Volpato; Umberto Falanga; Giulia Stronati; Federico Guerra; Davide Vignale; Antonio Esposito; Antonio Dello Russo; Michela Casella; Andrea Giovagnoni
Journal:  Medicina (Kaunas)       Date:  2021-05-07       Impact factor: 2.430

5.  2019 American Thoracic Society BEAR Cage Winning Proposal: Lung Imaging Using High-Performance Low-Field Magnetic Resonance Imaging.

Authors:  Adrienne E Campbell-Washburn
Journal:  Am J Respir Crit Care Med       Date:  2020-06-01       Impact factor: 21.405

6.  Native T1 mapping for assessment of the perilesional zone in metastases and benign lesions of the liver.

Authors:  Ute Lina Fahlenkamp; Katharina Ziegeler; Lisa Christine Adams; Sarah Maria Böker; Günther Engel; Marcus Richard Makowski
Journal:  Sci Rep       Date:  2020-07-30       Impact factor: 4.379

  6 in total

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