Heart-Model-Based Automated Method for Left Ventricular Measurements in Cardiac MR: Comparison with Manual and Semi-automated Methods
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Purpose : To assess the effect of applying an automated heart model based measurements of left ventricle (LV) and compare with manual and semi-automated measurements at Cardiovascular MR Imaging. Materials and Methods: Sixty-two patients who underwent cardiac 1.5T MR imaging were included. Steady state free precession cine images of 20 phases per cardiac cycle were obtained in short axis views and both 2-chamber and 4-chamber views. Epicardial and endocardial contours were drawn in manual, automated, and semi-automated ways. Based on these acquired contour sets, the end-diastolic (ED) and end-systolic (ES) volumes, ejection fraction (EF), systolic volume (SV) and LV mass were calculated and compared. Results: In EDV and ESV, the differences among three measurement methods were not statistically significant (P = .399and .145, respectively). However, in EF, SV, and LV mass, the differences were statistically significant (P=.001, <001,<001, respectively) and the measured value from automated method tend to be consistently higher than the values from other two methods. Conclusion: An automatic heart model-based method grossly overestimate EF, SV and LV mass compared with manual or semi-automated methods. Even though the method saves a considerable amount of efforts, further manual adjustment should be considered in critical clinical cases.
Abstract
Purpose : To assess the effect of applying an automated heart model based measurements of left ventricle (LV) and compare with manual and semi-automated measurements at Cardiovascular MR Imaging. Materials and Methods: Sixty-two patients who underwent cardiac 1.5T MR imaging were included. Steady state free precession cine images of 20 phases per cardiac cycle were obtained in short axis views and both 2-chamber and 4-chamber views. Epicardial and endocardial contours were drawn in manual, automated, and semi-automated ways. Based on these acquired contour sets, the end-diastolic (ED) and end-systolic (ES) volumes, ejection fraction (EF), systolic volume (SV) and LV mass were calculated and compared. Results: In EDV and ESV, the differences among three measurement methods were not statistically significant (P = .399and .145, respectively). However, in EF, SV, and LV mass, the differences were statistically significant (P=.001, <001,<001, respectively) and the measured value from automated method tend to be consistently higher than the values from other two methods. Conclusion: An automatic heart model-based method grossly overestimate EF, SV and LV mass compared with manual or semi-automated methods. Even though the method saves a considerable amount of efforts, further manual adjustment should be considered in critical clinical cases.
참고문헌 (14)
- Levy D, "Prognostic implications of echocardiographically determined left ventricular mass in the Framingham Heart Study", N Engl J Med, 322, pp.1561~1566 (1990)
- Kondo C, "Right and left ventricular stroke volume measurements with velocity-encoded cine MR imaging: in vitro and in vivo validation", AJR Am J Roentgenol, 157, pp.9~16 (1991)
- Koren MJ, "Relation of left ventricular mass and geometry to morbidity and mortality in uncomplicated essential hypertension", Ann Intern Med, 114, pp.345~352 (1991)
- Rerkpattanapipat P, "Assessment of cardiac function with MR imaging", Magn Reson Imaging Clin N Am, 11, pp.67~ (2003)
- Francois CJ, "Left ventricular mass: manual and automatic segmentation of true fisp and flash cine MR images in dogs and pigs", Radiology, 230, pp.389~395 (2004)
- Alfakih K, "Assessment of ventricular function and mass by cardiac magnetic resonance imaging", Eur Radiol, 14, pp.1813~1822 (2004)
- Thiele H, "Functional cardiac MR imaging with steady-state free precession (ssfp) significantly improves endocardial border delineation without contrast agents", J Magn Reson Imaging, 14, pp.362~367 (2001)
- Bloomgarden DC, "Global cardiac function using fast breath-hold MRI: validation of new acquisition and analysis techniques", Magn Reson Med, 37, pp.683~692 (2005)
- Childs H, "Comparison of long and short axis quantification of left ventricular volume parameters by cardiovascular magnetic resonance, with ex-vivo validation", J Cardiovasc Magn Reson, 13, pp.40~ (2011)
- Hautvast GL, "Accurate computer-aided quantification of left ventricular parameters: experience in 1555 cardiac magnetic resonance studies from the framingham heart study", Magn Reson Med, 67, pp.1478~1486 (2012)
- Katz J, "Estimation of human myocardial mass with MR imaging", Radiology, 169, pp.495~498 (1988)
- Shapiro MD, "Utility of cardiovascular magnetic resonance to predict left ventricular recovery after primary percutaneous coronary intervention for patients presenting with acute ST-segment elevation myocardial infarction", Am J Cardiol, 100, pp.211~216 (2007)
- Dulce MC, "Quantification of the left ventricular volumes and function with cine MR imaging: comparison of geometric models with threedimensional data", Radiology, 188, pp.371~376 (1993)
- Vogel-Claussen J, "Left ventricular papillary muscle mass: relationship to left ventricular mass and volumes by magnetic resonance imaging", J Comput Assist Tomogr, 30, pp.426~432 (2006)
