Kaoru Tanaka1, Amgad N Makaryus, Steven D Wolff. 1. Division of Cardiology, Columbia University College of Physicians and Surgeons, Columbia University Medical Center, New York City, New York 10128, USA.
Abstract
BACKGROUND: Aortic stenosis (AS) is the most common valvular heart disease resulting in surgical intervention. Transthoracic echocardiography (TTE) utilizing the continuity equation is commonly used to determine aortic valve area (AVA). However, sometimes TTE can be limited by poor acoustic windows, heavy valvular calcification, or eccentric jet morphology. Cardiovascular magnetic resonance (CMR) provides an alternative non-invasive method for the evaluation of AVA using direct planimetry. Prior studies have shown good correlation between CMR and other modalities, such as TTE, TEE, and cardiac catheterization. CMR can also assess AVA by using the continuity equation employing velocity-encoded phase contrast (VEPC) imaging. We sought to assess whether velocity-encoded phase-contrast MRI can provide an alternate means of quantifying AVA by CMR. METHODS: Twenty-two consecutive AS patients were imaged with CMR. AVA was determined by VEPC imaging and by direct planimetry. RESULTS: Mean AVA by planimetry was 1.05+/-0.41 cm2 and 1.00+/-0.4 cm2 by VEPC, with a strong correlation (R2=0.86, p<0.0001) between the two methods. The mean difference of AVA was 0.05+/-0.15 (95% CI=[0.02-0.08]), and the limits of agreement were -0.26 to 0.36 cm2. The mean difference between 2 observers for planimetry was 0.030+/-0.07 (95% CI=[0.02-0.04]) with limits of agreement of -0.11 to 0.16 cm2 and for VEPC was 0.008+/-0.085 (95% CI=[-0.01-0.026]) with limits of agreement of -0.16 to 0.18 cm2. CONCLUSIONS: VEPC CMR is an alternative method to direct planimetry for accurately determining AVA. Both techniques can be easily incorporated into a single CMR exam to increase the confidence of AVA determination utilizing cardiac magnetic resonance imaging.
BACKGROUND:Aortic stenosis (AS) is the most common valvular heart disease resulting in surgical intervention. Transthoracic echocardiography (TTE) utilizing the continuity equation is commonly used to determine aortic valve area (AVA). However, sometimes TTE can be limited by poor acoustic windows, heavy valvular calcification, or eccentric jet morphology. Cardiovascular magnetic resonance (CMR) provides an alternative non-invasive method for the evaluation of AVA using direct planimetry. Prior studies have shown good correlation between CMR and other modalities, such as TTE, TEE, and cardiac catheterization. CMR can also assess AVA by using the continuity equation employing velocity-encoded phase contrast (VEPC) imaging. We sought to assess whether velocity-encoded phase-contrast MRI can provide an alternate means of quantifying AVA by CMR. METHODS: Twenty-two consecutive AS patients were imaged with CMR. AVA was determined by VEPC imaging and by direct planimetry. RESULTS: Mean AVA by planimetry was 1.05+/-0.41 cm2 and 1.00+/-0.4 cm2 by VEPC, with a strong correlation (R2=0.86, p<0.0001) between the two methods. The mean difference of AVA was 0.05+/-0.15 (95% CI=[0.02-0.08]), and the limits of agreement were -0.26 to 0.36 cm2. The mean difference between 2 observers for planimetry was 0.030+/-0.07 (95% CI=[0.02-0.04]) with limits of agreement of -0.11 to 0.16 cm2 and for VEPC was 0.008+/-0.085 (95% CI=[-0.01-0.026]) with limits of agreement of -0.16 to 0.18 cm2. CONCLUSIONS: VEPC CMR is an alternative method to direct planimetry for accurately determining AVA. Both techniques can be easily incorporated into a single CMR exam to increase the confidence of AVA determination utilizing cardiac magnetic resonance imaging.
Authors: Hyungkyu Huh; Jeesoo Lee; Menhel Kinno; Michael Markl; James D Thomas; Alex J Barker Journal: Int J Cardiovasc Imaging Date: 2022-02-21 Impact factor: 2.316
Authors: Kartik S Sundareswaran; David H Frakes; Mark A Fogel; Dennis D Soerensen; John N Oshinski; Ajit P Yoganathan Journal: J Magn Reson Imaging Date: 2009-01 Impact factor: 4.813
Authors: Rajnil G Shah; Gian M Novaro; Rodolfo J Blandon; Mitchell S Whiteman; Craig R Asher; Jacobo Kirsch Journal: Int J Cardiovasc Imaging Date: 2009-05-07 Impact factor: 2.357
Authors: Sanjay Doddamani; Michael J Grushko; Amgad N Makaryus; Vineet R Jain; Ricardo Bello; Mark A Friedman; Robert J Ostfeld; Divya Malhotra; Lawrence M Boxt; Linda Haramati; Daniel M Spevack Journal: Int J Cardiovasc Imaging Date: 2008-09-04 Impact factor: 2.357
Authors: Rolf Alexander Jánosi; Björn Plicht; Philipp Kahlert; Mareike Eißmann; Daniel Wendt; Heinz Jakob; Raimund Erbel; Thomas Buck Journal: Curr Cardiovasc Imaging Rep Date: 2014