1992
DOI: 10.1016/0002-8703(92)90761-j
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Can signal intensity of the continuous wave Doppler regurgitant jet estimate severity of mitral regurgitation?

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Cited by 34 publications
(5 citation statements)
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“…However, it has been suggested that the intensity of the Doppler signal is also influenced by blood velocity, haematocrit and turbulence 16 28. Regarding fluid velocity, controversial results have been published and lower ranges of fluid velocities were assessed experimentally than encountered in clinical practice 14 16. Also, studies on haematocrit did not show significant signal intensity differences within the normal clinical haematocrit ranges 28.…”
Section: Discussionmentioning
confidence: 99%
“…However, it has been suggested that the intensity of the Doppler signal is also influenced by blood velocity, haematocrit and turbulence 16 28. Regarding fluid velocity, controversial results have been published and lower ranges of fluid velocities were assessed experimentally than encountered in clinical practice 14 16. Also, studies on haematocrit did not show significant signal intensity differences within the normal clinical haematocrit ranges 28.…”
Section: Discussionmentioning
confidence: 99%
“…This has been verified in patients with mitral regurgitation [11]; however, it is unknown whether this is also true in patients with aortic regurgitation. This study attempted to assess the value of analyzing the intensity of continuous-wave Doppler signals of AR by comparing the findings of conventional CFM and the decay of continuous-wave Doppler aortic regurgitant flow velocity pattern.…”
Section: Introductionmentioning
confidence: 86%
“…The VSD model was fixed in a water tank for image acquisition along with an ultrasound transducer facing the right ventricle. Cornstarch (2%) was used to fill the closed system to mimic blood viscosity, and air bubbles were removed prior to imaging. For each trial, the heart was passively pumped with SVs ranging from 30 to 70 mL (10 mL intervals) and with a pump stroke rate of 60 strokes per minute to optimize temporal resolution.…”
Section: Methodsmentioning
confidence: 99%