(Circulation. 2007;116:2597-2609.)
© 2007 American Heart Association, Inc.
Contemporary Reviews in Cardiovascular Medicine |
From the Division of Cardiology, Johns Hopkins University, Baltimore, Md.
Correspondence to Theodore P. Abraham, MD, Johns Hopkins University, 600 N Wolfe St, Carnegie 568, Baltimore, MD 21287. E-mail tabraha3{at}jhmi.edu
Key Words: echocardiography cardiac function tests tissue Doppler
| Introduction |
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The motion of a muscle, is performed only by the Carnous fibers, and each Carnous fiber has a power of contracting itself.... The force of the whole Muscle is but an aggregate of the contractions of each particular fiber.— —William Croone in De ratione motus musculorum (On the Reason of the Movement of the Muscles), 1664
Visual or semiautomated tracking of the endocardial border provide estimates of cardiac volume, which are used to derive ejection fraction, a quantitative indicator of ventricular function. However, the heart is a complex mechanical organ that undergoes cyclic changes in multiple dimensions that ultimately effect a change in chamber volume that results in ejection of blood. Regardless of imaging technique, ejection fraction is unable to provide information on the underlying myocardial mechanical activity. Also, ejection fraction reflects the sum contribution of several regions and does not provide information on regional function. Regional function assessed visually is subjective and prone to error.1
Quantification of regional myocardial activity (deformation) was feasible only in experimental studies by use of markers attached directly to the myocardium, a technique not practicable in the clinical realm.2 Myocardial tagging with cardiac magnetic resonance (CMR) introduced the opportunity to noninvasively track regional myocardial mechanics.3,4 Modifications to the filter settings on pulsed Doppler to image low-velocity, high-intensity myocardial signal rather than the high-velocity, low-intensity signal from blood flow allows similar assessment by ultrasound. This technique is commonly referred to as tissue Doppler imaging (TDI) or Doppler myocardial imaging.5
| Tissue Doppler Imaging |
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Tissue Doppler–derived velocity can be obtained via pulsed Doppler (by placing a sample volume at a particular location), M-mode Doppler, or 2-dimensional color Doppler (Figure 1C and 1D).5 Color Doppler acquires tissue velocity information from the entire sector, and thus, multiple sites can be interrogated simultaneously. Individual segments are analyzed ex post facto. Although all of these methods yield the same mechanical information, differences in the peak values exist. Pulsed Doppler measures peak velocity, which is
20% to 30% higher than the mean velocity measured by color Doppler. This difference should be considered when one estimates left ventricular filling pressure using the E/e' ratio.6 Frame rates are highest with the M mode, lower with pulsed Doppler, and lowest with color Doppler TDI.
Tissue Doppler has been validated extensively and examined in a variety of cardiac pathologies.7,8 Although initial work reported tissue velocity from the septal or posterior wall in the parasternal projections, recent work almost exclusively interrogates tissue velocities in the longitudinal direction (apical projections). In the longitudinal direction, myocardial motion is such that the apex is generally immobile, whereas the base moves toward the apex in systole and away from the apex in diastole.9 This differential motion between base and apex results in a velocity gradient along the myocardial wall, with the highest velocities at the base and low or zero velocity at the apex (Figure 2). Because TDI interrogates motion at a single point in the myocardium with reference to a point outside the chest (the transducer), it is influenced by translational motion and tethering (normal apical segments pull an abnormal basal segment toward the apex). Moreover, single-point interrogation (depicting tissue displacement) does not fully capture true myocardial mechanics.
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| Strain Rate and Strain |
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By TDI, strain rate is the difference in velocity between 2 points along the myocardial wall (velocity gradient) normalized to the distance between the 2 points.12 A similar velocity gradient exists between the endocardium and the epicardium, because the endocardium moves faster. This concept is used to derive myocardial velocity gradient (radial strain rate).13 This velocity gradient depicts the rate of change of myocardial wall thickness during systole and diastole. Thus, strain rate measures the rate at which the 2 points of interest move toward or away from each other. Integration of strain rate yields strain, the normalized change in length between these 2 points.
Therefore, tissue velocity is obtained by interrogating a single point in the myocardium, with the reference point being the transducer on the chest wall. For strain rate, 2 points are interrogated in the myocardium. In the longitudinal direction, the points move closer to each other in systole and away from each other in diastole (online-only Data Supplement Movies Ia and Ib).
The use of strain (deformation) to examine the properties of the heart is not a new concept. Mirsky and Parmley14 used strain to study the elastic properties of the myocardium. Although myocardial strain is a 3-dimensional tensor, to simplify the discussion, the present review will focus on 3 primary directions of strain in the heart. The heart shortens and lengthens in the longitudinal direction, it thickens and thins in the radial direction, and it shortens and lengthens in the circumferential direction (Figure 4A and 4B). A torsion or wringing motion also is present between the base and apex. When viewed from the apex, the apex rotates counterclockwise, and the base rotates clockwise in systole (twisting), with the opposite motion (untwisting) in diastole (Figure 4C). Strain rate and strain are theoretically less susceptible to translational motion and tethering artifacts and thus may be superior to tissue velocity in depicting regional or global myocardial function.
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Tissue Doppler–derived strain variables have been validated with gel phantoms,15 isolated muscle preparations,11 sonomicrometric crystals in whole hearts,16 and tagged CMR imaging.17 Normal strain and strain-rate values have been published.18 Sample tracings are presented in Figure 5.
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An extensive review of TDI/strain is beyond the scope of this article. The reader is referred to several excellent reviews that complement the present review and provide greater detail on specific issues.10,19–21 The present review will focus on the current clinical relevance of these novel techniques and examine the factors that influence their widespread and routine use.
| Global Systolic Function |
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| Regional Function |
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Regional strain rates and strain are reduced in ischemia and infarction.12,31 Strain and strain rate identify infarcted segments and correlate with extent of transmural infarction.32 Strain and strain rate are less susceptible to cardiac translational motion and tethering. The term "tethering" is used to describe the dragging of an akinetic basal segment toward the apex by normally functioning mid or apical segments (online-only Data Supplement Movie II). This theoretical advantage of strain/strain rate was confirmed in the clinical setting.33
| Coronary Artery Disease |
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Systolic tissue velocities, strain rates, and, to some extent, strain increase with dobutamine stimulation in the normal subject.34,35 This response is blunted in areas with induced ischemia. Low systolic tissue velocity at maximal stress (<5.5 cm/s) predicts induced wall-motion abnormality.36 The MYocardial Doppler In Stress Echocardiography (MYDISE) study found that tissue velocities were predictive of angiographic disease.37 Isovolumic acceleration was more accurate than tissue velocity in predicting angiographic disease.38 Changes in systolic tissue velocity during dobutamine stress identify viable myocardium,39 predict outcomes in patients with an ischemic response40 or after a myocardial infarction,41 and may help identify false-positive wall-motion abnormalities.42 It is feasible to perform TDI during exercise.43
Changes in strain precede those in wall motion or tissue velocity during dobutamine stress44 and can differentiate stunned from ischemic myocardium.29 Strain rate correlates with regional myocardial perfusion during dobutamine stress.45 Responses in strain and strain rate during dobutamine stress have been well summarized.46 Strain rate may be better than strain, and both are likely superior to tissue velocity in detecting CAD via stress echocardiography.47 Strain echocardiography is feasible during dobutamine and exercise stress echocardiography.48 Strain changes correlate closely with thallium perfusion abnormalities.35 Strain-rate response during low-dose dobutamine is superior to wall-motion analysis and tissue velocity for identification of viable myocardium,49 and strain-rate data improve the sensitivity for prediction of functional recovery after revascularization.50
Postsystolic strain may be seen in normal subjects and does not universally denote pathology. In abnormal myocardium, systolic strain is low, and postsystolic strain occurs later in diastole.51 Postsystolic strain identifies myocardial viability and inducible ischemia,52 and discussion is ongoing on whether it is an active or a passive phenomenon.53
| Cardiomyopathy |
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Early diastolic strain rates were significantly lower in asymptomatic, gene-positive patients with Friedrichs ataxia.57 Similarly, early diastolic strain rates were lower in hypertrophic cardiomyopathy than in athletes or normal control subjects,58 and they are lower in restrictive than in normal or constrictive cardiomyopathy.59 Abnormal systolic and diastolic tissue velocities are reported in Fabrys disease patients without ventricular hypertrophy.60 Systolic strain and strain rates improved after enzyme-replacement therapy in Fabrys disease.61 Tissue velocities and strain rates are reduced in primary amyloidosis with and without evidence of cardiac involvement.62–64
| Dyssynchrony Analysis |
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Several reports suggest a low concordance between electrical and mechanical synchrony.69,70 Because TDI allows interrogation of the mechanical activity (Figure 6A), an operator is able to time the onset of systolic motion, peak motion, and end of systolic motion (Figure 6B) at various locations in the heart. In normal synchronous hearts, segmental systolic tissue velocities peak almost simultaneously (Figure 7A). In dyssynchronous hearts, the lateral and/or posterior segments peak considerably later than the septum (Figure 7B), which results in inefficient ejection. Pacing of the delayed region allows synchronized mechanical activity and improves ejection. Severe mechanical dyssynchrony may be recognized visually; however, milder forms are not detectable and in either case cannot be quantified.
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The mechanical delay between the normal (early) and late segments predicts response to resynchronization.71 Among several proposed indices of mechanical dyssynchrony, the criteria commonly used in clinical practice are (1) septal to lateral wall delay >65 ms68 and (2) the SD of time to peak systolic velocity of 12 segments >33 ms.72 The relative value of TDI versus strain/strain rate in predicting response to resynchronization has not been resolved fully.73,74
| Diastolic Function |
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The high temporal resolution of strain imaging allows interrogation of short-lived diastolic mechanical events. Patients with global diastolic dysfunction have higher numbers of segments with an altered early to late diastolic strain-rate ratio, and the number of altered segments increases with worsening global diastolic function.84 Evidence exists that changes in early diastolic strain rate can predict angiographic disease.85 Regional diastolic strain ratios are related to regional stiffness and can separate stunned from infarcted myocardium.86 Strain-rate–based time delays are related to regional perfusion and inducible wall-motion abnormality.45,87
| Right Ventricular Function |
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| Atrial Function |
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| Cautions |
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The angle dependence of tissue Doppler–based velocities and strain should be kept in mind when one is working with full-sector images. Non-Doppler–based techniques overcome this limitation. Strain/TDI technologies cannot be retrofitted, and most vendors require the purchase of new platforms/programs to enable tissue velocity and strain analysis.
Strain has been validated clinically with tagged CMR used as the standard. Some issues related to validation are worth noting. Most validation is performed with both a normal and a significantly abnormal population (eg, myocardial infarction), which results in 2 large, significantly separated clusters of data and consequentially high correlation between techniques. How this correlation translates into a clinically useful tool can only be addressed in large clinical trials with blinded analysis. Clinical studies yield lower correlations between ultrasound strain and CMR than those reported in experimental studies (r values of 0.40 to 0.50).103 Our (unpublished) experience in unselected patient populations has been similar.
The spatial resolution for strain analysis by tagging is not usually similar to that in cine CMR. Magnetic resonance tags are usually 7 to 10 mm apart, and thus, the in-plane (radial and circumferential) resolution for strain is 7 to 10 mm. The slice thickness is usually 8 to 10 mm; thus, the longitudinal spatial resolution is 8 to 10 mm. In patients, strain imaging by tagged CMR can also be noisy at times. Nonetheless, CMR remains the best validated, most robust, and most reproducible technique for noninvasive strain measurements and is the ideal method for validation of strain in a clinical study. Lack of correlation alone does not suggest that either technique is inaccurate, because the mathematical derivation of strain is different between CMR and ultrasound. Reference values for strain for each technique will most likely be different. Newer semiautomated CMR programs such as harmonic phase magnetic resonance (HARP), strain-encoded MRI (SENC), and displacement encoding with stimulated echoes (DENSE) may have better resolution and are likely more robust.104–106
Strain by TDI is obtained through integration of the strain rate signal. Because integration reduces noise, strain signal will always be "cleaner" than strain rate. It is not uncommon to find a significantly noisy (and meaningless) strain rate signal that yields a deceptively clear strain signal. Data based on such a strain signal are of questionable value.
Because lateral resolution of Doppler-based strain is influenced by beam width, it is unclear whether reliable resolution exists to separate endocardial from epicardial strain in long-axis imaging; however, such analysis may be feasible in the axial direction. In addition, tissue velocity and strain parameters are sensitive to load,46,77 and load should be considered when tissue velocity or strain is compared at 2 time points.
Despite the burgeoning evidence of incremental value over conventional echocardiography in myriad clinical conditions, tissue velocities have found limited clinical use, and strain has found virtually no routine clinical use, except in a few centers. Unfortunately, several impediments exist to the routine clinical application of these technologies. Although the concept is not new and is well-founded in myocardial physiology, it is unfamiliar territory to the cardiologist and the sonographer. This results in significant inertia in learning and implementing the technology. The concept is nonintuitive. Unlike the visualization of an obvious morphological abnormality (eg, flail mitral leaflet), tissue velocity and strain data offer no real-time feedback. Data are collected and spirited away for off-line analysis, with considerable delay between acquisition and data availability. Sonographers are not yet comfortable with data acquisition and less so with data analysis. This translates to significant physician time commitment. The manual analysis and signal noise/variability exacerbate this commitment and reduce enthusiasm for clinical use.
Potential solutions include advancements that result in a robust and reproducible signal that lends itself to semiautomated programs that may reduce analysis time. Availability of real-time feedback during image acquisition that informs the operator of image acceptability would reduce the number of unanalyzable images. Analysis of tissue velocity and strain from conventional images would reduce the time and effort spent in collecting separate TDI images. Lastly, parametric imaging in which a parameter of interest is displayed in a color-coded image, such as a bulls eye plot, may help with physician interpretation.
The interaction of ultrasound with the myocardium produces unique acoustic patterns, or "speckles." These speckles can be tracked over time and speckle displacement used to calculate tissue velocity and strain.107 This method is relatively angle independent, because it is not based on the Doppler principle.108 Published data suggest that radial strain by this method is not as reproducible as longitudinal strain.109,110
Because speckle tracking is automated, this technique lends itself to semiautomated measurements of strain. One such method allows the generation of bulls eye plots of longitudinal segmental strain (Figure 9). Another similar technique uses arrows to display the direction and amplitude of motion at various points in the heart (Figure 10). Speckle tracking imaging can use preexisting B-mode images; however, it is performed at much lower frame rates (40 to 90 frames per second) and may not be as accurate in timing mechanical events as Doppler-based imaging (100 to 250 frames per second).
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Tissue velocity and strain have facilitated the interrogation of torsional movements in the heart.111 TheTable summarizes the potential clinical value of tissue velocity and strain parameters. The parameters are considered useful if substantial clinical evidence is available in relatively large sample sizes and from multiple sources. Parameters are considered probably useful if the evidence is from smaller studies but has been reproduced in multiple centers.
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At the present time, tissue velocity and strain data appear to be of optimal value if the images are acquired carefully, analysis is meticulous, and the interpretation is judicious and balanced. To conclude, tissue velocity and strain echocardiography allow detailed interrogation of regional and global mechanics and offer substantial incremental information on myocardial function compared with conventional echocardiography. Both techniques characterize fundamental concepts in cardiac physiology and represent a paradigm shift in the application of echocardiography in clinical practice. Evidence is increasing that the information from these novel techniques will help with clinical decision making and the prediction of outcomes. Education in these new concepts, ample hands-on training, and improvements in imaging technology will help cardiologists gain familiarity with these techniques and better implement them in practice. Randomized and blinded studies in larger populations will help define their eventual role in clinical practice. Ongoing advances that reduce operator interaction may improve reproducibility and facilitate wider clinical use.
| Acknowledgments |
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Sources of Funding
This work was supported in part by grants from the National Institutes of Health (AG22554-01 and HL076513-01).
Disclosures
Dr. Abraham receives honoraria and research support from GE Ultrasound. Dr Dimaano and Dr Liang report no conflicts.
| Footnotes |
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