Intraventricular Pressure Differences

Abstract

HomeCirculationVol. 112, No. 12Intraventricular Pressure Differences Free AccessEditorialPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessEditorialPDF/EPUBIntraventricular Pressure DifferencesA New Window Into Cardiac Function James D. Thomas, MD and Zoran B. Popović, MD James D. ThomasJames D. Thomas From the Cardiovascular Imaging Center, Department of Cardiovascular Medicine, The Cleveland Clinic Foundation, Cleveland, Ohio. Search for more papers by this author and Zoran B. PopovićZoran B. Popović From the Cardiovascular Imaging Center, Department of Cardiovascular Medicine, The Cleveland Clinic Foundation, Cleveland, Ohio. Search for more papers by this author Originally published20 Sep 2005https://doi.org/10.1161/CIRCULATIONAHA.105.566463Circulation. 2005;112:1684–1686Like all fluids, blood tends to flow from areas of high pressure to low pressure. This seemingly trite observation hides a great deal of sophisticated pathophysiology that we are only beginning to exploit diagnostically and potentially therapeutically. In this issue of Circulation, Yotti and colleagues have exploited a new noninvasive technique to measure the small pressure differences generated within the normal left ventricular outflow tract in systole, demonstrating the utility of such measurements in quantifying ventricular systolic function.1 Because the fluid dynamics concepts behind these methods remain obscure to many cardiologists, it is worth reviewing the theoretical underpinnings in the hope that they will be more widely applied on the basis of articles like those of Yotti et al and others.See p 1771Cardiologists have become comfortable with the use of the Gorlin equation in the cardiac catheterization laboratory and the simplified Bernoulli equation in the echocardiography laboratory to characterize the severity of valvular stenosis. Both equations are based on the principle of conservation of energy, relating the pressure drop (potential energy) across the valve to the rise in velocity (kinetic energy) as blood rushes through it. Several special circumstances combine to make these simple equations particularly applicable to flow through a restrictive orifice, including lack of a significant friction factor (viscosity) and a lack of pressure recovery as the blood rushes out of the abrupt obstruction. One of the most important simplifications is the absence of a significant “inertial” component to flow through a restrictive orifice. That is, the amount of blood actually moving at high velocity is tiny compared with the volume of the overall column of blood in the left ventricular outflow tract. Thus, very little pressure is expended in getting that small mass moving, and all of the potential energy lost across the valve (Δp) is given by the kinetic energy of the blood (4v2 in the echo laboratory, if p is in millimeters of mercury and v is in meters per second). This is termed the “convective” component of the Bernoulli equation, which relates to the change in velocity (and pressure) that occurs as blood simply moves—or convects—from a wide region to a narrow region and the change in geometry forces the acceleration.The simplicity of valvular stenosis changes considerably when one considers the more general situation of flow in the left ventricle. Here, flow is much more complex (inherently 3-dimensional and time variable) and the pressure differences are much smaller, typically <5 mm Hg from base to apex. Nevertheless, it has been known for some time that these intraventricular pressure gradients (IVPG) are crucial for the proper functioning of the cardiovascular system. Ling et al2 and Falsetti et al3 were among the first to describe the small pressure differences that drive blood from the mitral valve level into the ventricle during diastole. These small (in general, <5 mm Hg) pressure differences, commonly termed diastolic suction and responsible for efficient filling of the ventricle at low mean left atrial pressure, were shown to be augmented with inotropic stimulation and exercise and decreased with β-blockade and ischemia.4 Pasipoularides extended these concepts to systolic ejection by measuring pressure differences within the normal left ventricular outflow tract, observing an average peak difference of 6.7 mm Hg at rest, rising to 13.0 mm Hg during submaximal exercise.5 (Note: As cardiologists we commonly use the term “pressure gradient” where a physicist would use “pressure difference,” reserving the word gradient to describe the rate of change of pressure along a line. For this editorial, I will try to adhere to the physics definition, but readers should be aware that this is not always the case in the cardiology literature.) Importantly, this ejection gradient occurred at the time of peak flow acceleration, not peak flow, indicating that in this nonobstructive geometry, the inertial term of the Bernoulli equation dominates the convective (kinetic energy) term, in contrast to valvular stenosis. Thus, the simplified Bernoulli equation cannot be used to quantify either left ventricular inflow or outflow tract gradients.This inapplicability of simple Doppler techniques explains in large part why IVPG have been only rarely used in research and never in clinical cardiology. To measure them requires simultaneous high-fidelity pressure measurements with multiple micromanometer catheters placed invasively within the heart, a highly demanding task technically and entirely inappropriate for clinical use. Fortunately, Yotti et al have applied fluid dynamics principles to measure noninvasively ejection intraventricular pressure differences (EIVPD) from color M-mode Doppler data,1,6 extending concepts originally developed for diastolic IVPG by Thomas, Greenberg, and others from the Cleveland Clinic.7,8To understand how we can measure pressure gradients from velocity data, we start with the “almost” complete Bernoulli equation with both inertial and convective terms (we still omit the viscous term because it is negligible in almost every intracardiac situation): equationDownload figurewhere Δp is the pressure difference between two points, Δ(v2) is the change in the square of velocity from one point to another, ρ is blood density (with appropriate units, ½ρ equates to the constant 4 in the simplified Bernoulli equation), dv/dt is the instantaneous temporal acceleration of flow through the region, and M is the “effective” mass being accelerated, a negligible quantity for true stenosis, but the dominant term when flow is not obstructed. Indeed, it can be shown that for a minimal diameter D, the inertial constant M varies in proportion to D, whereas the kinetic term ½ρv2 varies inversely to D4. For nonobstructive flow, where pressure changes gradually over a distance, not at a discrete point, we must use the Euler equation, a differential version of the Bernoulli equation for pressure change along a streamline of flow: equationDownload figurewhere the inertial and convective terms are in the same order as the Bernoulli equation, but the discrete terms [Δp and Δ(v2)] have been replaced by their spatial derivatives, yielding the rate of pressure change per centimeter of distance along the streamline. To return the total pressure drop between points A and B along the streamline, this equation must be integrated numerically: equationDownload figureAlthough this looks complicated, note that all we need to solve it is a representation of velocity as a function of space and time [v(s,t)] along a streamline of flow, and v(s,t) is precisely what the color Doppler velocity map represents. Of course, the velocity map needs to be smoothed before applying the noise-magnifying partial derivatives, but the computational demands are trivial for a personal computer. The Figure shows schematically how these partial derivatives are summed together to produce the pressure gradient map. One could well question whether the requirement that this velocity be along a streamline is truly met. Fortunately for both diastolic ventricular inflow9 and systolic ventricular outflow,1 misalignments as great as 20° produce errors <0.5 mm Hg. Download figureDownload PowerPointApplication of the Euler equation to color M-mode velocity data to measure intraventricular pressure gradients. This shows the E-wave from transmitral diastolic inflow (shown after smoothing in the panel above “v”), with time along the horizontal axis and distance along the vertical axis, and red reflecting positive velocities toward the apex of the heart. δv/δt is the temporal velocity derivative at each point within the panel (red showing positive values and blue negative), whereas δv/δs is the spatial derivative, positive near the mitral valve and negative as the flow decelerates at the apex. Multiplying and summing the derivatives as shown produce the pressure gradient above “δp/δs,” demonstrating a strong negative gradient early in diastole (“diastolic suction”).In a previous article, Yotti et al compared their noninvasive estimation of EIVPD with invasive measurements, reporting a correlation of 0.98 and agreement within a standard deviation of <0.3 mm Hg. In their article in this issue, they extend this work by comparing EIVPD with standard invasive measures of ventricular function, reporting a spectacular correlation of 0.98 to 0.99 with Emax, a slope indistinguishable from 1.0, and no detectable changes when preload (end-diastolic volume) was reduced by 40%, or afterload (peak aortic pressure) was increased by 20%. Thus, EIVPD is put forth as a relatively simple noninvasive index that produces results indistinguishable from Emax, considered by many to be the gold standard of load-independent invasive measures of ventricular function.Some reality checking is perhaps in order before we seize on EIVPD as the new noninvasive standard for left ventricular systolic function. For example, a number of recent indices based on single-beat (ie, without the need to vary preload over several cycles as Emax must) estimates of ventricular contractility have proven to be less reliable in subsequent work.10 One can also question whether EIVPD should even be expected to be independent of load. Ridaelli and Montevecchi performed numerical modeling of several isovolumic and ejection phase indices and showed significant dependence of EIVPD on afterload.11 Although preload changes were not specifically modeled in this article, simple logic suggests that significant hypovolemia producing a fall in stroke volume may also be expected to produce a fall in EIVPD. Indeed, alteration in preload leads to a striking change in the diastolic IVPD, and it would be surprising if this were not mirrored in some way on ejection.12 Finally, there remain technical limitations that must be minimized for EIVPD estimates to be reliable, the most critical of which is quality of the original color M-mode data. Whenever spatial or temporal derivatives are applied to discretely sampled data, noise is bound to increase in the process, a fact apparent in Figure 1A and 1B in the Yotti et al article. Although the subsequent spatial integration will smooth out the noise to some degree, it is essential that a complete color M-mode map be obtained before processing. Thus, only future research will tell whether EIVPD becomes an accepted method to measure load-independent contractility or if over time the research community discovers weaknesses not apparent in the Yotti article.Nevertheless, it is clear that IVPD is a promising general technique that should be pursued vigorously to exploit its full potential. Already it has proven valuable in assessing diastolic function and understanding the pathophysiological link between systole and diastole. Rovner et al13 have validated the noninvasive measurement of diastolic IVPD in the complex anatomy of hypertrophic cardiomyopathy and then showed significant increases in diastolic suction (from 1.5 to 2.6 mm Hg) after alcohol septal reduction therapy. The same group has also recently shown in heart failure patients that the ability to augment diastolic suction with exercise is the best predictor of maximal oxygen consumption, with a correlation of 0.8 between the exercise-induced increase in diastolic IVPD and V̇o2max.14 Preliminary work has shown that normal aging blunts the observed augmentation in diastolic IVPD seen with preload increases,12 but that lifelong endurance exercise training partially ameliorates this effect.15 One can envisage important applications of EIPVD in the notoriously difficult arena of noninvasive quantification of systolic function applied to such problems as assessing contractile reserve in questions of myocardial viability or testing the contractile response to cardiac resynchronization. Importantly, this additional information on systolic function can be obtained easily and repeatedly by simply directing a color M-mode cursor toward the outflow tract of the left ventricle. To exploit these important developments in both systolic and diastolic IVPD, it is essential that manufacturers of echocardiography instruments develop on-line and off-line tools that will allow these calculations to be made rapidly and automatically on clinical data.In summary, the approach used by Yotti et al to derive regional pressure differences within the ventricle appears to be a powerful new tool for both clinical assessment of ventricular systolic and diastolic function and research investigation of the pathophysiology of ventricular function. It is simply the latest in a long line of technical advances that have expanded the diagnostic value of echocardiography and kept it the premiere modality in cardiovascular imaging.The opinions expressed in this article are not necessarily those of the editors or of the American Heart Association.Dr Thomas is supported in part by the National Space Biomedical Research Institute through NASA Grant NCC9-58 (Houston, Tex) and the Department of Defense (Fort Detrick, Md, USAMRMC Grant No. 02360007).FootnotesCorrespondence to James D. Thomas, MD, Department of Cardiology, Desk F-15, The Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195. E-mail [email protected] References 1 Yotti R, Bermejo J, Desco MM, Antoranz JC, Rojo-Alvarez JL, Cortina C, Allue C, Rodriguez-Abella H, Moreno M, Garcia-Fernandez MA. Doppler-derived ejection intraventricular pressure gradients provide a reliable assessment of left ventricular systolic chamber function. Circulation. 2005; 112: 1771–1779.LinkGoogle Scholar2 Ling D, Rankin JS, Edwards CH II, McHale PA, Anderson RW. Regional diastolic mechanics of the left ventricle in the conscious dog. Am J Physiol. 1979; 236: H323–H330.MedlineGoogle Scholar3 Falsetti HL, Verani MS, Chen CJ, Cramer JA. Regional pressure differences in the left ventricle. Cathet Cardiovasc Diagn. 1980; 6: 123–134.CrossrefMedlineGoogle Scholar4 Courtois M, Kovacs SJ, Ludbrook PA. Physiological early diastolic intraventricular pressure gradient is lost during acute myocardial ischemia. Circulation. 1990; 81: 1688–1696.CrossrefMedlineGoogle Scholar5 Pasipoularides A, Murgo JP, Miller JW, Craig WE. Nonobstructive left ventricular ejection pressure gradients in man. Circ Res. 1987; 61: 220–227.CrossrefMedlineGoogle Scholar6 Yotti R, Bermejo J, Antoranz JC, Rojo-Alvarez JL, Allue C, Silva J, Desco MM, Moreno M, Garcia-Fernandez MA. Noninvasive assessment of ejection intraventricular pressure gradients. J Am Coll Cardiol. 2004; 43: 1654–1662.CrossrefMedlineGoogle Scholar7 Thomas JD, Greenberg NL, Vandervoort PM, Aghassi DS, Hunt BF. Digital analysis of transmitral color Doppler M-mode data: a potential new approach to the noninvasive assessment of diastolic function. Comput Cardiol. 1992; 19: 631–634.Google Scholar8 Greenberg NL, Vandervoort PM, Thomas JD. Instantaneous diastolic transmitral pressure differences from color Doppler M mode echocardiography. Am J Physiol Heart Circ Physiol. 1996; 271: H1267–H1276.CrossrefMedlineGoogle Scholar9 Greenberg NL, Castro PL, Drinko J, Garcia MJ, Thomas JD. Effect of scanline orientation on ventricular flow propagation: assessment using high frame-rate color Doppler echocardiography. Biomed Sci Instrum. 2000; 36: 203–208.MedlineGoogle Scholar10 Kjorstad KE, Korvald C, Myrmel T. Pressure-volume-based single-beat estimations cannot predict left ventricular contractility in vivo. Am J Physiol Heart Circ Physiol. 2002; 282: H1739–H1750.CrossrefMedlineGoogle Scholar11 Redaelli A, Montevecchi FM. Intraventricular pressure drop and aortic blood acceleration as indices of cardiac inotropy: a comparison with the first derivative of aortic pressure based on computer fluid dynamics. Med Eng Phys. 1998; 20: 231–241.CrossrefMedlineGoogle Scholar12 Popovic ZB, Arbab-Zadeh A, Borowski A, Dijk E, Greenberg N, Sallach JA, Levine BD, Thomas JD. Aging decreases intraventricular pressure gradient response to preload changes [abstract]. Circulation. 2003; 108: IV-661.LinkGoogle Scholar13 Rovner A, Smith R, Greenberg NL, Tuzcu EM, Smedira N, Lever HM, Thomas JD, Garcia MJ. Improvement in diastolic intraventricular pressure gradients in patients with HOCM after ethanol septal reduction. Am J Physiol Heart Circ Physiol. 2003; 285: H2492–H2499.CrossrefMedlineGoogle Scholar14 Rovner A, Greenberg NL, Thomas JD, Garcia MJ. Relationship of diastolic intraventricular pressure gradients and aerobic capacity in patients with heart failure. Am J Physiol Heart Circ Physiol. 2005; In press.Google Scholar15 Popovic ZB, Arbab-Zadeh A, Borowski A, Dijk E, Greenberg NL, Garcia M, Levine BD, Thomas JD. Intensive aerobic physical training decreases age-related decline of left ventricular diastolic function [abstract]. J Am Coll Cardiol. 2004; 43: 17.Google Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Matsuura K, Bach M, Takahashi K, Willesen J, Koch J and Tanaka R (2022) Non-invasive assessment of left ventricular relaxation property using color M-mode-derived intraventricular pressure gradients in cats, Journal of Veterinary Cardiology, 10.1016/j.jvc.2022.03.006, 41, (236-248), Online publication date: 1-Jun-2022. Popović Z and Thomas J (2021) Physical Determinants of Diastolic Flow Diastology, 10.1016/B978-0-323-64067-1.00005-X, (53-70), . Friedberg M and Villemain O (2021) Hemodynamic Measurements Echocardiography in Pediatric and Congenital Heart Disease, 10.1002/9781119612858.ch6, (87-115), Online publication date: 27-Dec-2022. Kitpipatkun P, Matsuura K, Shimada K, Uemura A, Goya S, Yoshida T, Ma D, Takahashi K and Tanaka R (2020) Key factors of diastolic dysfunction and abnormal left ventricular relaxation in diabetic rats, Journal of Medical Ultrasonics, 10.1007/s10396-020-01021-x, 47:3, (347-356), Online publication date: 1-Jul-2020. Ramalli A, Bezy S, Orlowska M, Boni E, Voigt J and D'hooge J (2020) High frame rate color Doppler to measure intraventricular pressure gradients 2020 IEEE International Ultrasonics Symposium (IUS), 10.1109/IUS46767.2020.9251332, 978-1-7281-5448-0, (1-4) Takahashi K, Nii M, Takigiku K, Toyono M, Iwashima S, Inoue N, Tanaka N, Matsui K, Shigemitsu S, Yamada M, Kobayashi M, Yazaki K, Itatani K and Shimizu T (2018) Development of suction force during early diastole from the left atrium to the left ventricle in infants, children, and adolescents, Heart and Vessels, 10.1007/s00380-018-1239-9, 34:2, (296-306), Online publication date: 1-Feb-2019. Iwashima S, Hayano S, Murakami Y, Tanaka A, Joko Y, Morikawa S, Ifuku M, Iso T and Takahashi K (2019) Cardiac Function in Infants Born to Mothers With Gestational Diabetes ― Estimation of Early Diastolic Intraventricular Pressure Differences ―, Circulation Reports, 10.1253/circrep.CR-19-0062, 1:9, (378-388), Online publication date: 10-Sep-2019. Londono-Hoyos F, Swillens A, Van Cauwenberge J, Meyers B, Koppula M, Vlachos P, Chirinos J and Segers P (2017) Assessment of methodologies to calculate intraventricular pressure differences in computational models and patients, Medical & Biological Engineering & Computing, 10.1007/s11517-017-1704-0, 56:3, (469-481), Online publication date: 1-Mar-2018. Olesen J, Villagomez-Hoyos C, Moller N, Ewertsen C, Hansen K, Nielsen M, Bech B, Lonn L, Traberg M and Jensen J Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study With In Vivo Examples, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 10.1109/TUFFC.2018.2808328, 65:5, (709-719) Tanaka T, Okada T, Nishiyama T and Seki Y (2017) Relative pressure imaging in left ventricle using ultrasonic vector flow mapping, Japanese Journal of Applied Physics, 10.7567/JJAP.56.07JF26, 56:7S1, (07JF26), Online publication date: 1-Jul-2017. Friedberg M (2016) Hemodynamic Measurements Echocardiography in Pediatric and Congenital Heart Disease, 10.1002/9781118742440.ch6, (73-95) Wiputra H, Lai C, Lim G, Heng J, Guo L, Soomar S, Leo H, Biwas A, Mattar C and Yap C (2016) Fluid mechanics of human fetal right ventricles from image-based computational fluid dynamics using 4D clinical ultrasound scans, American Journal of Physiology-Heart and Circulatory Physiology, 10.1152/ajpheart.00400.2016, 311:6, (H1498-H1508), Online publication date: 1-Dec-2016. Jain S, Londono F, Segers P, Gillebert T, De Buyzere M and Chirinos J (2016) MRI Assessment of Diastolic and Systolic Intraventricular Pressure Gradients in Heart Failure, Current Heart Failure Reports, 10.1007/s11897-016-0281-0, 13:1, (37-46), Online publication date: 1-Feb-2016. Bermejo J, Martínez-Legazpi P and del Álamo J (2015) The Clinical Assessment of Intraventricular Flows, Annual Review of Fluid Mechanics, 10.1146/annurev-fluid-010814-014728, 47:1, (315-342), Online publication date: 3-Jan-2015. Olesen J, Villagomez-Hoyos C, Traberg M and Jensen J (2015) Non-invasive estimation of pressure changes along a streamline using vector velocity ultrasound 2015 IEEE International Ultrasonics Symposium (IUS), 10.1109/ULTSYM.2015.0067, 978-1-4799-8182-3, (1-4) Iwano H, Pu M, Upadhya B, Meyers B, Vlachos P and Little W (2014) Delay of left ventricular longitudinal expansion with diastolic dysfunction: impact on load dependence of e′ and longitudinal strain rate, Physiological Reports, 10.14814/phy2.12082, 2:7, (e12082), Online publication date: 1-Jul-2014. Morello R, De Capua C, Lamonaca F and Belvedere M Experimental Validation of Revised Criteria for Pulmonary Hypertension Diagnosis by Uncertainty Evaluation, IEEE Transactions on Instrumentation and Measurement, 10.1109/TIM.2013.2281559, 63:3, (592-602) Salcedo-Sanz S, Rojo-Álvarez J, Martínez-Ramón M and Camps-Valls G (2014) Support vector machines in engineering: an overview, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10.1002/widm.1125, 4:3, (234-267), Online publication date: 1-May-2014. Stewart K, Charonko J, Niebel C, Little W and Vlachos P (2012) Left ventricular vortex formation is unaffected by diastolic impairment, American Journal of Physiology-Heart and Circulatory Physiology, 10.1152/ajpheart.00093.2012, 303:10, (H1255-H1262), Online publication date: 15-Nov-2012. Ohara T, Niebel C, Stewart K, Charonko J, Pu M, Vlachos P and Little W (2012) Loss of Adrenergic Augmentation of Diastolic Intra-LV Pressure Difference in Patients With Diastolic Dysfunction, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2012.05.013, 5:9, (861-870), Online publication date: 1-Sep-2012. Firstenberg M, Abel E, Papadimos T and Tripathi R (2012) Nonconvective Forces: A Critical and Often Ignored Component in the Echocardiographic Assessment of Transvalvular Pressure Gradients, Cardiology Research and Practice, 10.1155/2012/383217, 2012, (1-4), . Little W and Ohara T (2011) Left Atrial Emptying Reserve, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2011.02.007, 4:4, (389-391), Online publication date: 1-Apr-2011. Stewart K, Kumar R, Charonko J, Ohara T, Vlachos P and Little W (2011) Evaluation of LV Diastolic Function From Color M-Mode Echocardiography, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2010.09.020, 4:1, (37-46), Online publication date: 1-Jan-2011. Garcia D, del Álamo J, Tanné D, Yotti R, Cortina C, Bertrand É, Antoranz J, Pérez-David E, Rieu R, Fernández-Avilés F and Bermejo J Two-Dimensional Intraventricular Flow Mapping by Digital Processing Conventional Color-Doppler Echocardiography Images, IEEE Transactions on Medical Imaging, 10.1109/TMI.2010.2049656, 29:10, (1701-1713) Cheng M, Rao G, Zhou H, Xu J and Zhang F (2009) Development of a new semi-quantitative non-invasive method for evaluating ventricular stroke work, Clinical Physiology and Functional Imaging, 10.1111/j.1475-097X.2008.00841.x, 29:2, (95-99), Online publication date: 1-Mar-2009. THOMAS J and POPOVIĆ Z (2008) Physical Determinants of Diastolic Flow Diastology, 10.1016/B978-1-4160-3754-5.50011-1, (43-59), . SEWARD J, CHANDRASEKARAN K, OSRANEK M, FATEMA K and TSANG T (2008) Invasive Physiology: Clinical Cardiovascular Pathophysiology and Diastolic Dysfunction Diastology, 10.1016/B978-1-4160-3754-5.50013-5, (73-91), . Claessens T, De Sutter J, Vanhercke D, Segers P and Verdonck P (2007) New Echocardiographic Applications for Assessing Global Left Ventricular Diastolic Function, Ultrasound in Medicine & Biology, 10.1016/j.ultrasmedbio.2006.12.001, 33:6, (823-841), Online publication date: 1-Jun-2007. Popović Z, Richards K, Greenberg N, Rovner A, Drinko J, Cheng Y, Penn M, Fukamachi K, Mal N, Levine B, Garcia M and Thomas J (2006) Scaling of diastolic intraventricular pressure gradients is related to filling time duration, American Journal of Physiology-Heart and Circulatory Physiology, 10.1152/ajpheart.00081.2006, 291:2, (H762-H769), Online publication date: 1-Aug-2006. Rojo-Alvarez J, Bermejo J, Juarez-Caballero V, Yotti R, Cortina C, Garcia-Fernandez M and Antoranz J Support vector analysis of color-Doppler images: a new approach for estimating indices of left ventricular function, IEEE Transactions on Medical Imaging, 10.1109/TMI.2006.875437, 25:8, (1037-1043) Garcia D and Durand L (2006) Aortic Stenosis and Systemic Hypertension, Modeling of Wiley Encyclopedia of Biomedical Engineering, 10.1002/9780471740360.ebs1527 September 20, 2005Vol 112, Issue 12 Advertisement Article InformationMetrics https://doi.org/10.1161/CIRCULATIONAHA.105.566463PMID: 16172281 Originally publishedSeptember 20, 2005 KeywordsphysiologyEditorialscontractilitysystoleechocardiographyPDF download Advertisement SubjectsContractile FunctionEchocardiographyImaging