PMID- 32725975
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210310
IS  - 1738-5520 (Print)
IS  - 1738-5555 (Electronic)
IS  - 1738-5520 (Linking)
VI  - 50
IP  - 8
DP  - 2020 Aug
TI  - CMR Parametric Mapping as a Tool for Myocardial Tissue Characterization.
PG  - 658-676
LID - 10.4070/kcj.2020.0157 [doi]
AB  - Cardiovascular magnetic resonance (CMR) is the current gold standard for imaging 
      cardiac anatomy, function, and advanced myocardial tissue characterization. After 
      cine, late gadolinium enhancement (LGE), and perfusion imaging, parametric 
      mapping is widely regarded as the 4th era of myocardial CMR development. In 
      contrast to conventional CMR tissue characterization techniques, which rely on 
      relative variations in image intensities to highlight abnormal tissues, 
      parametric mapping provides direct visualization of tissue MR properties such as 
      T1, T2 and T2* in absolute denominations (e.g. in milliseconds). Presentation as 
      pixel-wise parametric maps adds spatial information for a more complete 
      assessment of the myocardium. Advantages of parametric mapping include direct, 
      quantitative comparisons inter- and within-individuals, as well as detection of 
      diffuse disease not evident on conventional CMR imaging, without the need for 
      contrast agents. CMR parametric mapping methods have matured over the past decade 
      into clinical tools, demonstrating not only clinical utility but added value in a 
      wide range of cardiac diseases. They are particularly useful for the evaluation 
      of acute myocardial injury, suspected infiltration and heart failure of unclear 
      etiology. This review discusses the background of parametric mapping, 
      particularly T1-, T2- and ECV-mapping, general magnetic resonance physics 
      principles, clinical applications (including imaging protocols, image analysis 
      and reporting guidelines), current challenges and future directions. CMR 
      parametric mapping is increasingly available on routine clinical scanners, and 
      promises to deliver advanced myocardial tissue characterization beyond 
      conventional CMR techniques, ultimately helping clinicians to benefit patients in 
      their clinical management.
CI  - Copyright (c) 2020. The Korean Society of Cardiology.
FAU - Ferreira, Vanessa M
AU  - Ferreira VM
AUID- ORCID: 0000-0002-0046-7634
AD  - Oxford Centre for Clinical Magnetic Resonance Research, Division of 
      Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, 
      Oxford, United Kingdom. vanessa.ferreira@cardiov.ox.ac.uk.
FAU - Piechnik, Stefan K
AU  - Piechnik SK
AUID- ORCID: 0000-0002-0268-5221
AD  - Oxford Centre for Clinical Magnetic Resonance Research, Division of 
      Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, 
      Oxford, United Kingdom.
LA  - eng
GR  - PG/15/71/31731/BHF_/British Heart Foundation/United Kingdom
GR  - British Heart Foundation Centre of Research Excellence/United Kingdom
GR  - National Institute of Health Research (NIHR) Biomedical Research Centre/United 
      Kingdom
PT  - Journal Article
PT  - Review
PL  - Korea (South)
TA  - Korean Circ J
JT  - Korean circulation journal
JID - 101247141
PMC - PMC7390720
OTO - NOTNLM
OT  - Cardiovascular magnetic resonance
OT  - Myocardial tissue characterization
OT  - Parametric mapping
OT  - T1-mapping
OT  - T2-mapping
COIS- Drs. Ferreira and Piechnik acknowledge support from the National Institute of 
      Health Research (NIHR) Biomedical Research Centre, Oxford, and the British Heart 
      Foundation Centre of Research Excellence, Oxford. Dr. Ferreira is funded by the 
      British Heart Foundation. Dr. Piechnik has patent authorship rights for U.S. 
      patent 9285446 B2 (systems and methods for shortened modified Look-Locker 
      inversion recovery [ShMOLLI] cardiac gated mapping of T1), granted March 15, 
      2016; all rights transferred to Siemens Medical. Patents pending: Zhang; 
      Piechnik; Ferreira et al. "A method for identity validation and quality assurance 
      of quantitative magnetic resonance imaging protocols". (Oxford University 
      Innovation project #16435); Hann; Piechnik; Ferreira et al. "Method and Apparatus 
      for Quality Prediction" (Oxford University Innovation project #16045).
EDAT- 2020/07/30 06:00
MHDA- 2020/07/30 06:01
PMCR- 2020/08/01
CRDT- 2020/07/30 06:00
PHST- 2020/04/15 00:00 [received]
PHST- 2020/04/23 00:00 [accepted]
PHST- 2020/07/30 06:00 [entrez]
PHST- 2020/07/30 06:00 [pubmed]
PHST- 2020/07/30 06:01 [medline]
PHST- 2020/08/01 00:00 [pmc-release]
AID - 50.658 [pii]
AID - 10.4070/kcj.2020.0157 [doi]
PST - ppublish
SO  - Korean Circ J. 2020 Aug;50(8):658-676. doi: 10.4070/kcj.2020.0157.