Investigative Magnetic Resonance Imaging

Korean Society of Magnetic Resonance in Medicine (대한자기공명의과학회)
권호 표지
DOI QR코드

DOI QR Code

Guidelines for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging (KOSCI) - Part 2: Interpretation of Cine, Flow, and Angiography Data

  • Lee, Jae Wook (Department of Radiology, Soonchunhyang University Hospital Bucheon) ;
  • Hur, Jee Hye (Department of Radiology, Hanil General Hospital) ;
  • Yang, Dong Hyun (Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine) ;
  • Lee, Bae Young (Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea) ;
  • Im, Dong Jin (Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine) ;
  • Hong, Su Jin (Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine) ;
  • Kim, Eun Young (Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine) ;
  • Park, Eun-Ah (Department of Radiology, Seoul National University Hospital) ;
  • Jo, Yeseul (Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea) ;
  • Kim, Jeong Jae (Department of Radiology, Jeju National University Hospital) ;
  • Park, Chul Hwan (Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Yong, Hwan Seok (Department of Radiology, Korea University Guro Hospital)
  • Received : 2019.07.05
  • Accepted : 2019.07.17
  • Published : 2019.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

Cardiovascular magnetic resonance imaging (CMR) is expected to be increasingly used in Korea due to technology advances and the expanded national insurance coverage of these tests. For improved patient care, it is crucial not only that CMR images are properly acquired but that they are accurately interpreted by well-trained personnel. In response to the increased demand for CMR, the Korean Society of Cardiovascular Imaging (KOSCI) has issued interpretation guidelines in conjunction with the Korean Society of Radiology (KSR). KOSCI has also created a formal Committee on CMR Guidelines to write updated practices. The members of this Committee review previously published interpretation guidelines and discuss the patterns of CMR use in Korea.

Keywords

References

  1. Yoon YE, Hong YJ, Kim HK, et al. 2014 Korean guidelines for appropriate utilization of cardiovascular magnetic resonance imaging: a joint report of the Korean Society of Cardiology and the Korean Society of Radiology. Korean Circ J 2014;44:359-385 https://doi.org/10.4070/kcj.2014.44.6.359
  2. Kim YJ, Yong HS, Kim SM, et al. Korean guidelines for the appropriate use of cardiac CT. Korean J Radiol 2015;16:251-285 https://doi.org/10.3348/kjr.2015.16.2.251
  3. ASCI Practice Guideline Working Group, Beck KS, Kim JA, et al. 2017 multimodality appropriate use criteria for noninvasive cardiac imaging: expert consensus of the Asian Society of Cardiovascular Imaging. Korean J Radiol 2017;18:871-880 https://doi.org/10.3348/kjr.2017.18.6.871
  4. Goo HW. Comparison between three-dimensional navigator-gated whole-heart MRI and two-dimensional cine MRI in quantifying ventricular volumes. Korean J Radiol 2018;19:704-714 https://doi.org/10.3348/kjr.2018.19.4.704
  5. Cui C, Yin G, Lu M, et al. Retrospective electrocardiographygated real-time cardiac cine MRI at 3T: comparison with conventional segmented cine MRI. Korean J Radiol 2019;20:114-125 https://doi.org/10.3348/kjr.2018.0243
  6. Goo HW. Semiautomatic three-dimensional thresholdbased cardiac computed tomography ventricular volumetry in repaired tetralogy of Fallot: comparison with cardiac magnetic resonance imaging. Korean J Radiol 2019;20:102-113 https://doi.org/10.3348/kjr.2018.0237
  7. Lee JW, Jeong YJ, Lee G, et al. Predictive value of cardiac magnetic resonance imaging-derived myocardial strain for poor outcomes in patients with acute myocarditis. Korean J Radiol 2017;18:643-654 https://doi.org/10.3348/kjr.2017.18.4.643
  8. Pizzino F, Recupero A, Pugliatti P, Maffei S, Di Bella G. Re: multi-parameter CMR approach in acute myocarditis to improve diagnosis and prognostic stratification. Korean J Radiol 2018;19:366-367 https://doi.org/10.3348/kjr.2018.19.2.366
  9. Lee HG, Shim J, Choi JI, Kim YH, Oh YW, Hwang SH. Use of cardiac computed tomography and magnetic resonance imaging in case management of atrial fibrillation with catheter ablation. Korean J Radiol 2019;20:695-708 https://doi.org/10.3348/kjr.2018.0774
  10. Min JY, Ko SM, Song IY, Yi JG, Hwang HK, Shin JK. Comparison of the diagnostic accuracies of 1.5T and 3T stress myocardial perfusion cardiovascular magnetic resonance for detecting significant coronary artery disease. Korean J Radiol 2018;19:1007-1020 https://doi.org/10.3348/kjr.2018.19.6.1007
  11. Lim J, Park EA, Song YS, Lee W. Single-dose gadoterate meglumine for 3T late gadolinium enhancement MRI for the assessment of chronic myocardial infarction: intraindividual comparison with conventional double-dose 1.5T MRI. Korean J Radiol 2018;19:372-380 https://doi.org/10.3348/kjr.2018.19.3.372
  12. Wang L, Chen Y, Zhang B, et al. Self-gated late gadolinium enhancement at 7T to image rats with reperfused acute myocardial infarction. Korean J Radiol 2018;19:247-255 https://doi.org/10.3348/kjr.2018.19.2.247
  13. Chen Y, Zheng X, Jin H, et al. Role of myocardial extracellular volume fraction measured with magnetic resonance imaging in the prediction of left ventricular functional outcome after revascularization of chronic total occlusion of coronary arteries. Korean J Radiol 2019;20:83-93 https://doi.org/10.3348/kjr.2018.0069
  14. Karimi S, Pourmehdi M, Naderi M. Re: prediction of the left ventricular functional outcome by myocardial extracellular volume fraction measured using magnetic resonance imaging: methodological issue. Korean J Radiol 2019;20:1001-1002 https://doi.org/10.3348/kjr.2019.0062
  15. Cerqueira MD, Weissman NJ, Dilsizian V, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 2002;105:539-542 https://doi.org/10.1161/hc0402.102975
  16. Hundley WG, Bluemke D, Bogaert JG, et al. Society for Cardiovascular Magnetic Resonance guidelines for reporting cardiovascular magnetic resonance examinations. J Cardiovasc Magn Reson 2009;11:5 https://doi.org/10.1186/1532-429X-11-5
  17. Schulz-Menger J, Bluemke DA, Bremerich J, et al. 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. J Cardiovasc Magn Reson 2013;15:35 https://doi.org/10.1186/1532-429X-15-35
  18. Maceira AM, Prasad SK, Khan M, Pennell DJ. Normalized left ventricular systolic and diastolic function by steady state free precession cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2006;8:417-426 https://doi.org/10.1080/10976640600572889
  19. Hudsmith LE, Petersen SE, Francis JM, Robson MD, Neubauer S. Normal human left and right ventricular and left atrial dimensions using steady state free precession magnetic resonance imaging. J Cardiovasc Magn Reson 2005;7:775-782 https://doi.org/10.1080/10976640500295516
  20. Hamdan A, Kelle S, Schnackenburg B, Fleck E, Nagel E. Improved quantitative assessment of left ventricular volumes using TGrE approach after application of extracellular contrast agent at 3 Tesla. J Cardiovasc Magn Reson 2007;9:845-853 https://doi.org/10.1080/10976640701693600
  21. Thiele H, Paetsch I, Schnackenburg B, et al. Improved accuracy of quantitative assessment of left ventricular volume and ejection fraction by geometric models with steady-state free precession. J Cardiovasc Magn Reson 2002;4:327-339 https://doi.org/10.1081/JCMR-120013298
  22. Puntmann VO, Gebker R, Duckett S, et al. Left ventricular chamber dimensions and wall thickness by cardiovascular magnetic resonance: comparison with transthoracic echocardiography. Eur Heart J Cardiovasc Imaging 2013;14:240-246 https://doi.org/10.1093/ehjci/jes145
  23. Alfakih K, Plein S, Thiele H, Jones T, Ridgway JP, Sivananthan MU. Normal human left and right ventricular dimensions for MRI as assessed by turbo gradient echo and steady-state free precession imaging sequences. J Magn Reson Imaging 2003;17:323-329 https://doi.org/10.1002/jmri.10262
  24. Alfakih K, Plein S, Bloomer T, Jones T, Ridgway J, Sivananthan M. Comparison of right ventricular volume measurements between axial and short axis orientation using steady-state free precession magnetic resonance imaging. J Magn Reson Imaging 2003;18:25-32 https://doi.org/10.1002/jmri.10329
  25. Clarke CJ, Gurka MJ, Norton PT, Kramer CM, Hoyer AW. Assessment of the accuracy and reproducibility of RV volume measurements by CMR in congenital heart disease. JACC Cardiovasc Imaging 2012;5:28-37 https://doi.org/10.1016/j.jcmg.2011.05.007
  26. Mohiaddin RH, Kilner PJ, Rees S, Longmore DB. Magnetic resonance volume flow and jet velocity mapping in aortic coarctation. J Am Coll Cardiol 1993;22:1515-1521 https://doi.org/10.1016/0735-1097(93)90565-i
  27. Mohiaddin RH, Pennell DJ. MR blood flow measurement. Clinical application in the heart and circulation. Cardiol Clin 1998;16:161-187 https://doi.org/10.1016/S0733-8651(05)70007-2
  28. Rebergen SA, van der Wall EE, Doornbos J, de Roos A. Magnetic resonance measurement of velocity and flow: technique, validation, and cardiovascular applications. Am Heart J 1993;126:1439-1456 https://doi.org/10.1016/0002-8703(93)90544-J
  29. O'Brien KR, Cowan BR, Jain M, Stewart RA, Kerr AJ, Young AA. MRI phase contrast velocity and flow errors in turbulent stenotic jets. J Magn Reson Imaging 2008;28:210-218 https://doi.org/10.1002/jmri.21395
  30. Holland BJ, Printz BF, Lai WW. Baseline correction of phase-contrast images in congenital cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2010;12:11 https://doi.org/10.1186/1532-429X-12-11
  31. Chernobelsky A, Shubayev O, Comeau CR, Wolff SD. Baseline correction of phase contrast images improves quantification of blood flow in the great vessels. J Cardiovasc Magn Reson 2007;9:681-685 https://doi.org/10.1080/10976640601187588
  32. Holloway BJ, Rosewarne D, Jones RG. Imaging of thoracic aortic disease. Br J Radiol 2011;84 Spec No 3:S338-354 https://doi.org/10.1259/bjr/30655825
  33. Hiratzka LF, Bakris GL, Beckman JA, et al. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM guidelines for the diagnosis and management of patients with thoracic aortic disease. A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, American Association for Thoracic Surgery, American College of Radiology, American Stroke Association, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of Thoracic Surgeons, and Society for Vascular Medicine. J Am Coll Cardiol 2010;55:e27-e129 https://doi.org/10.1016/j.jacc.2010.02.015
  34. Glockner JF. MR angiography interpretation: techniques and pitfalls. Magn Reson Imaging Clin N Am 2005;13:23-40 https://doi.org/10.1016/j.mric.2004.12.006
  35. Kalb B, Sharma P, Tigges S, et al. MR imaging of pulmonary embolism: diagnostic accuracy of contrast-enhanced 3D MR pulmonary angiography, contrast-enhanced lowflip angle 3D GRE, and nonenhanced free-induction FISP sequences. Radiology 2012;263:271-278 https://doi.org/10.1148/radiol.12110224
  36. Grosse-Wortmann L, Al-Otay A, Goo HW, et al. Anatomical and functional evaluation of pulmonary veins in children by magnetic resonance imaging. J Am Coll Cardiol 2007;49:993-1002 https://doi.org/10.1016/j.jacc.2006.09.052
  37. Sakuma H, Ichikawa Y, Chino S, Hirano T, Makino K, Takeda K. Detection of coronary artery stenosis with whole-heart coronary magnetic resonance angiography. J Am Coll Cardiol 2006;48:1946-1950 https://doi.org/10.1016/j.jacc.2006.07.055

Cited by

  1. Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification vol.11, pp.1, 2019, https://doi.org/10.1038/s41598-021-81525-9