Literature DB >> 25352244

Differences in quantitative assessment of myocardial scar and gray zone by LGE-CMR imaging using established gray zone protocols.

Olurotimi Mesubi1, Kelechi Ego-Osuala, Jean Jeudy, James Purtilo, Stephen Synowski, Ameer Abutaleb, Michelle Niekoop, Mohammed Abdulghani, Ramazan Asoglu, Vincent See, Anastasios Saliaris, Stephen Shorofsky, Timm Dickfeld.   

Abstract

Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) imaging is the gold standard for myocardial scar evaluation. Heterogeneous areas of scar ('gray zone'), may serve as arrhythmogenic substrate. Various gray zone protocols have been correlated to clinical outcomes and ventricular tachycardia channels. This study assessed the quantitative differences in gray zone and scar core sizes as defined by previously validated signal intensity (SI) threshold algorithms. High quality LGE-CMR images performed in 41 cardiomyopathy patients [ischemic (33) or non-ischemic (8)] were analyzed using previously validated SI threshold methods [Full Width at Half Maximum (FWHM), n-standard deviation (NSD) and modified-FWHM]. Myocardial scar was defined as scar core and gray zone using SI thresholds based on these methods. Scar core, gray zone and total scar sizes were then computed and compared among these models. The median gray zone mass was 2-3 times larger with FWHM (15 g, IQR: 8-26 g) compared to NSD or modified-FWHM (5 g, IQR: 3-9 g; and 8 g. IQR: 6-12 g respectively, p < 0.001). Conversely, infarct core mass was 2.3 times larger with NSD (30 g, IQR: 17-53 g) versus FWHM and modified-FWHM (13 g, IQR: 7-23 g, p < 0.001). The gray zone extent (percentage of total scar that was gray zone) also varied significantly among the three methods, 51 % (IQR: 42-61 %), 17 % (IQR: 11-21 %) versus 38 % (IQR: 33-43 %) for FWHM, NSD and modified-FWHM respectively (p < 0.001). Considerable variability exists among the current methods for MRI defined gray zone and scar core. Infarct core and total myocardial scar mass also differ using these methods. Further evaluation of the most accurate quantification method is needed.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25352244     DOI: 10.1007/s10554-014-0555-0

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  28 in total

1.  The extent of left ventricular scar quantified by late gadolinium enhancement MRI is associated with spontaneous ventricular arrhythmias in patients with coronary artery disease and implantable cardioverter-defibrillators.

Authors:  Paul A Scott; John M Morgan; Nicola Carroll; David C Murday; Paul R Roberts; Charles R Peebles; Stephen P Harden; Nick P Curzen
Journal:  Circ Arrhythm Electrophysiol       Date:  2011-04-14

2.  Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator.

Authors:  Stijntje D Roes; C Jan Willem Borleffs; Rob J van der Geest; Jos J M Westenberg; Nina Ajmone Marsan; Theodorus A M Kaandorp; Johan H C Reiber; Katja Zeppenfeld; Hildo J Lamb; Albert de Roos; Martin J Schalij; Jeroen J Bax
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-23       Impact factor: 7.792

3.  Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality.

Authors:  Andrew T Yan; Adolphe J Shayne; Kenneth A Brown; Sandeep N Gupta; Carmen W Chan; Tuan M Luu; Marcelo F Di Carli; H Glenn Reynolds; William G Stevenson; Raymond Y Kwong
Journal:  Circulation       Date:  2006-06-26       Impact factor: 29.690

Review 4.  Cardiovascular magnetic resonance in patients with myocardial infarction: current and emerging applications.

Authors:  Han W Kim; Afshin Farzaneh-Far; Raymond J Kim
Journal:  J Am Coll Cardiol       Date:  2009-12-29       Impact factor: 24.094

5.  Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function.

Authors:  R J Kim; D S Fieno; T B Parrish; K Harris; E L Chen; O Simonetti; J Bundy; J P Finn; F J Klocke; R M Judd
Journal:  Circulation       Date:  1999-11-09       Impact factor: 29.690

6.  Quantitative myocardial infarction on delayed enhancement MRI. Part I: Animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm.

Authors:  Li-Yueh Hsu; Alex Natanzon; Peter Kellman; Glenn A Hirsch; Anthony H Aletras; Andrew E Arai
Journal:  J Magn Reson Imaging       Date:  2006-03       Impact factor: 4.813

7.  Automated quantification of myocardial infarction from MR images by accounting for partial volume effects: animal, phantom, and human study.

Authors:  Einar Heiberg; Martin Ugander; Henrik Engblom; Matthias Götberg; Göran K Olivecrona; David Erlinge; Håkan Arheden
Journal:  Radiology       Date:  2007-11-30       Impact factor: 11.105

8.  In vivo chronic myocardial infarction characterization by spin locked cardiovascular magnetic resonance.

Authors:  Walter R T Witschey; Gerald A Zsido; Kevin Koomalsingh; Norihiro Kondo; Masahito Minakawa; Takashi Shuto; Jeremy R McGarvey; Melissa M Levack; Francisco Contijoch; James J Pilla; Joseph H Gorman; Robert C Gorman
Journal:  J Cardiovasc Magn Reson       Date:  2012-06-15       Impact factor: 5.364

9.  Single breath-hold assessment of cardiac function using an accelerated 3D single breath-hold acquisition technique--comparison of an intravascular and extravascular contrast agent.

Authors:  Marcus R Makowski; Andrea J Wiethoff; Christian H P Jansen; Sergio Uribe; Victoria Parish; Andreas Schuster; Rene M Botnar; Aaron Bell; Christoph Kiesewetter; Reza Razavi; Tobias Schaeffter; Gerald F Greil
Journal:  J Cardiovasc Magn Reson       Date:  2012-07-31       Impact factor: 5.364

10.  Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing.

Authors:  Jeanette Schulz-Menger; David A Bluemke; Jens Bremerich; Scott D Flamm; Mark A Fogel; Matthias G Friedrich; Raymond J Kim; Florian von Knobelsdorff-Brenkenhoff; Christopher M Kramer; Dudley J Pennell; Sven Plein; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-01       Impact factor: 5.364

View more
  7 in total

Review 1.  Cardiovascular imaging 2015 in the International Journal of Cardiovascular Imaging.

Authors:  Hiram G Bezerra; Ricardo A Costa; Johan H C Reiber; Paul Schoenhagen; Arthur A Stillman; Johan De Sutter; Nico R L Van de Veire
Journal:  Int J Cardiovasc Imaging       Date:  2016-05       Impact factor: 2.357

Review 2.  Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death.

Authors:  Saurabh Malhotra; John M Canty
Journal:  JACC Cardiovasc Imaging       Date:  2019-10

3.  Life-Threatening Ventricular Arrhythmias: Current Role of Imaging in Diagnosis and Risk Assessment.

Authors:  Saurabh Malhotra; John M Canty
Journal:  J Nucl Cardiol       Date:  2016-01-15       Impact factor: 5.952

Review 4.  How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patients.

Authors:  Natalia A Trayanova; Ashish N Doshi; Adityo Prakosa
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-01-09

5.  Usefulness of TI-scout images in the assessment of late gadolinium enhancement in children.

Authors:  Badr Bannan; Julien Aguet; Aswathy Vaikom House; Navjot Gill; Vivian P Tassos; Afsaneh Amirabadi; Mike Seed; Christopher Z Lam; Shi-Joon Yoo
Journal:  J Cardiovasc Magn Reson       Date:  2021-03-18       Impact factor: 5.364

6.  Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.

Authors:  Suran Galappaththige; Richard A Gray; Caroline Mendonca Costa; Steven Niederer; Pras Pathmanathan
Journal:  PLoS Comput Biol       Date:  2022-10-10       Impact factor: 4.779

7.  Extracellular volume-guided late gadolinium enhancement analysis for non-ischemic cardiomyopathy: The Women's Interagency HIV Study.

Authors:  Yoko Kato; Jorge R Kizer; Mohammad R Ostovaneh; Jason Lazar; Qi Peng; Rob J van der Geest; Joao A C Lima; Bharath Ambale-Venkatesh
Journal:  BMC Med Imaging       Date:  2021-07-27       Impact factor: 1.930

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.