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Circulation: Cardiovascular Imaging. 2009;2:24-31
Published online before print December 2, 2008, doi: 10.1161/CIRCIMAGING.108.785907
CLINICAL PERSPECTIVE
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Original Articles

A Study of Functional Anatomy of Aortic-Mitral Valve Coupling Using 3D Matrix Transesophageal Echocardiography

Federico Veronesi, PhD; Cristiana Corsi, PhD; Lissa Sugeng, MD, MPH; Victor Mor-Avi, PhD; Enrico G. Caiani, PhD; Lynn Weinert, BS; Claudio Lamberti, MS and Roberto M. Lang, MD

From the Department of Electronics, Computer Science and Systems (F.V., C.C., C.L.), University of Bologna, Italy; Department of Medicine, Section of Cardiology, University of Chicago Medical Center (L.S., V.M.-A., L.W., R.M.L.), Ill; and the Department of Biomedical Engineering (F.V., E.G.C.), Politecnico di Milano, Milan, Italy.

Correspondence to Roberto M. Lang, MD, University of Chicago MC5084, 5841 S Maryland Ave, Chicago, IL 60637. E-mail rlang{at}medicine.bsd.uchicago.edu

Received May 19, 2008; accepted November 6, 2008.


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Background— Mitral and aortic valves are known to be coupled via fibrous tissue connecting the two annuli. Previous studies evaluating this coupling have been limited to experimental animals using invasive techniques. The new matrix array transesophageal transducer provides high-resolution real-time 3D images of both valves simultaneously. We sought to develop and test a technique for quantitative assessment of mitral and aortic valve dynamics and coupling.

Methods and Results— Matrix array transesophageal (Philips iE33) imaging was performed in 24 patients with normal valves who underwent clinically indicated transesophageal echocardiography. Custom software was used to detect and track the mitral and aortic annuli in 3D space throughout the cardiac cycle, allowing automated measurement of changes in mitral and aortic valve morphology. Mitral annulus surface area and aortic annulus projected area changed reciprocally over time. Mitral annulus surface area was 8.0±2.1 cm2 at end-diastole and decreased to 7.7±2.1 cm2 in systole, reaching its maximum (10.0±2.2 cm2) at mitral valve opening. Aortic annulus projected area was 4.1±1.2 cm2 at end-diastole, then increased during isovolumic contraction reaching its maximum (4.8±1.3 cm2) in the first third of systole and its minimum (3.6±1.0 cm2) during isovolumic relaxation. The angle between the mitral and aortic annuli was maximum (136±13°) at end-diastole and decreased to its minimum value (129±11°) during systole.

Conclusions— This is the first study to report quantitative 3D assessment of the mitral and aortic valve dynamics from matrix array transesophageal images and describe the mitral-aortic coupling in a beating human heart. This ability may have impact on patient evaluation for valvular surgical interventions and prosthesis design.

Key Words: 3D echocardiography • imaging • mitral valve • aortic valve • aortic-mitral valve coupling


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The mitral and aortic valves are coupled via fibrous tissue connecting the two annuli. An in-depth understanding of the normal mitral-aortic valvular coupling and the ability to accurately assess changes in different disease states may be important, particularly in the context of valvular surgical planning and postsurgical assessment. However, this coupling is difficult to evaluate using 2-dimensional imaging techniques because of the 3-dimensional (3D) anatomy of these structures. Consequently, the aortic and mitral valves have been studied in humans separately as if their function was independent of each other. Assessment of the mitral valve dynamics in humans using 3D echocardiographic techniques, such as gated acquisition of multiple slices for volume reconstruction, and the more recent transthoracic real-time 3D echocardiography (RT3DE) has been previously described.1,2 However, data presented in these studies have been limited by either a low temporal resolution, which allows only static measurements at one phase of the cardiac cycle,3–5 or by a low spatial resolution, which limits the visualization of valve morphology during dynamic assessment.2

Clinical Perspective see p 24

Because the motion of the aortic valve complex is even more difficult to characterize, few studies have addressed in detail the functional anatomy of this valve in 3D. These studies have been mostly limited to invasive techniques based on the implantation of crystals or radiopaque markers in animals.6–9 Based on these findings, there is growing evidence that the dynamics of these two annuli throughout the cardiac cycle are interrelated and that mitral-aortic valvular coupling is an integral part of the normal cardiac physiology. To allow the noninvasive evaluation of this coupling, it is essential to have a 3D technique that allows simultaneous imaging of both valves at sufficiently high spatial and temporal resolutions.

The recently developed RT3DE matrix array transesophageal (mTEE) transducer provides 3D images of higher spatial resolution than the earlier transthoracic images. When combined with higher temporal resolution achieved by zoomed full-volume acquisition focused on different valves, the use of this probe results in superb image quality with unparalleled level of spatial and temporal detail. Our hypothesis was that these images could be suitable for (1) detailed study of functional anatomy of the aortic valve and (2) simultaneous analysis of mitral and aortic valves that would allow quantitative assessment of their dynamic behavior and accurate characterization of their coupling. To test this hypothesis, we developed a new software for quantitative analysis of mitral and aortic valve dynamics from mTEE images.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Protocol
Twenty-four patients (7 males, 17 females; age, 54±20 years; lower quartile, 42.0 years; median, 52.9 years; upper quartile, 72.5 years) were studied during a clinically indicated transesophageal echocardiography (TEE), which was performed according to standard protocol. Inclusion criteria were (1) normal aortic valve and the absence of aortic root abnormalities and aortic regurgitation; (2) normal mitral valve with no more than trace mitral regurgitation; and (3) normal left ventricular (LV) volumes and function (ejection fraction >55% without wall motion abnormalities). The research portion of the study was approved by the Institutional Review Boards of The University of Chicago. Written informed consent was obtained at the time of consent for the clinical TEE procedure.

Real-Time 3D Echocardiography
Both clinical and research portions of the TEE study were performed using the iE33 ultrasound imaging system (Philips Medical Systems) equipped with the fully sampled mTEE transducer (x7). This transducer uses {approx}3000 elements, in contrast to the 64 elements currently used in the multiplane TEE probe (Omni 3, Philips). Despite this difference in the number of elements, the sizes of the 2 transducer heads are comparable. The probe was positioned at the midesophageal level at a 120° tilt. The scan volume in the wide-angled acquisition mode included the mitral apparatus, the aortic valve, and proximal ascending aorta, while excluding the mid and apical ventricular segments to maximize frame rate (Figure 1, bottom). This full-volume mode uses ECG gating to merge 7 narrow pyramidal scans obtained over 7 consecutive heartbeats. To avoid stitch artifacts, special care was taken to stabilize the probe during data acquisition. Because stitch artifacts are easily recognizable in the 3D volume rendering mode in real time, the acquisition was repeated whenever obvious artifacts were noted.


Figure 1785907
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Figure 1. Volume rendering of RT3DE mTEE data visualized from atrium (top) and in a long axis view (bottom).

 
RT3DE Data Analysis
The RT3DE data sets were analyzed using a custom software designed to quantify the dynamic behavior of the mitral annulus (MA) and the aortic annulus (AoA). Briefly, this was achieved by semiautomatically detecting these structures and then automatically tracking them in 3D throughout the cardiac cycle using optical flow and region-based matching techniques,10 which are based on the analysis of speckle noise patterns within the 3D data sets.11 Then, the tracked points were displayed frame by frame throughout the cardiac cycle to visually verify their position in 3D space, and manual corrections of these points were performed when necessary. Several parameters were automatically measured on the detected annuli throughout the cardiac cycle.

Mitral Valve Annulus Initialization and Measurements
Initially, a cut plane representing the 3-chamber view in the end-diastolic (ED) volume, which was selected as the first frame depicting closed mitral valve, was displayed. In this plane, 2 points were identified on the anterior (MA saddle-horn, MA1) and posterior (MA2) mitral valve annulus (Figure 2A). This initialization was then repeated (MA3 and MA4) on an orthogonal plane crossing the center of the line connecting MA1 and MA2. The middle point of the segment connecting MA3 and MA4 was considered as the MA center. Subsequently, 15 long-axis cut planes evenly rotated around the MA center (12° steps) were automatically displayed to complete the initialization. On each plane, the operator selected 2 points, one on each side of the MA. The same procedure was then applied to the end of isovolumic relaxation (end-IVR) frame. After automatic tracking, MA points were connected using spline interpolation to obtain the annular line (Figure 2D). Finally, a 3D MA surface was generated for each consecutive frame throughout the cardiac cycle by connecting the points with a triangulated mesh. The highest point of MA was used to define the center of mitral valve saddle. The MA was split into 2 parts: (1) the anterior fibrous part computed as 120°-wide MA portion centered on the previously computed saddle point, and (2) the posterior part corresponding to the remaining 240° portion of MA. The sequence of 3D MA surfaces and annular lines was used to obtain the following measurements throughout the cardiac cycle to describe the dynamic behavior of the MA:


Figure 2785907
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Figure 2. A, Selection of anterior and posterior MA points on a cut plane representing 3-chamber view. B, Selection of AoA points. C, Automatically displayed aortic valve short axis cut plane on which interatrial (green dot) and coaptation point (red dot) are manually identified. D, Computed MA (cyan) and AoA (red, noncoronary cusp; orange, left cusp; yellow, right cusp) splines on RT3DE volume rendering.

 
  1. MA surface area calculated as the sum of areas of all mesh triangles;
  2. MA surface area change normalized by the MA surface area at ED;
  3. longitudinal displacement of the whole MA and separately its anterior and posterior portions computed as the average motion of all MA points along the direction orthogonal to the MA surface;
  4. mitral valve height, computed as the distance between the highest and the lowest MA points in the direction orthogonal to the mitral valve.

Aortic Valve Annulus Initialization and Measurements
In this study, the term "aortic annulus" refers to the line representing the insertion of the aortic cusps into the sinuses of Valsalva (Figure 2B and 2D). First, 2 points on the AoA were manually initialized at ED phase on a cut plane of the volume data set. Then, the orthogonal plane crossing the center of the line connecting these 2 points was displayed, and 2 additional points were selected on the AoA. From these 4 points, the vector orthogonal to the AoA was automatically computed and used as the vertical axis of the AoA. Fifteen vertical cut planes passing through this axis (12° apart) were displayed one-by-one and 2 AoA points were identified on each plane (Figure 2B). Using these additional points, the vertical axis of the AoA was recalculated. This allowed viewing of a series of cut planes parallel to the AoA, which represent the short axis views of the outflow tract, base of the aortic cusps, cusp coaptation point, interatrial septum, sinus of Valsalva, and sinotubular junction. The positions of the coaptation point and the interatrial septum were manually marked on the ED frame (Figure 2C). The same procedure was then applied to end-systolic (ES) frame.

These AoA points were automatically tracked throughout the cardiac cycle and connected using 3 splines, one for each cusp in every frame (Figure 2D). The interatrial point was used as reference position to identify the noncoronary aortic cusp, and then to identify the left and right cusps. On the ED frame, cusp surfaces were computed and displayed as the mesh connecting every AoA point with the coaptation point.

Finally, the following parameters were calculated at ED phase (Figure 3):

  1. area of each aortic cusp as the mesh connecting the AoA points and the coaptation point;
  2. cusp free-edge for each cusp as the sum of the distances between the coaptation point and the commissural points pertaining to each cusp;
  3. coaptation point height with respect to the lowest AoA point;
  4. effective cusp height as the distance between the coaptation point and the lowest point of each cusp AoA portion.


Figure 3785907
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Figure 3. Schematic of automatically extracted AoA measurements.

 
In addition, the following parameters were calculated throughout cardiac cycle:
5. AoA area and length projected on the AoA base plane;
6. AoA nonplanarity defined as the height of commissural points relative to the lowest AoA point;
7. the length of the semilunar segment of AoA corresponding to the insertion site of each cusp;
8. intercommissural distances;
9. distance between AoA and MA centers;
10. angle between the MA and AoA defined as the angle between the line connecting the MA center with the highest MA saddle point and the line connecting this MA saddle point with the AoA center.

Statistical Analysis
Computed parameters were averaged for all patients at ED and when possible at isovolumic contraction (IVC), ES, and end-IVR. Data are presented as mean±SD. Differences between parameters computed at these 4 phases were tested using nonparametric paired Friedman test with Bonferroni corrections for repeated measures. Comparisons between the groups for noncoronary, left, and right cusps were tested using 3-factor nonparametric paired Friedman test with Bonferroni correction. Significance of differences between 2 groups was tested using nonparametric paired Wilcoxon–Mann–Whitney test. For all comparisons, differences were considered significant for P<0.05. To evaluate the intra- and interobserver variability, measurements of ED projected area, maximum projected area, minimum projected area, ED MA-AoA angle, ES MA-AoA angle, ED MA-AoA distance, and cusp annular length were repeated in a subset of 10 patients, by the same as well as by an additional observer, who were blinded to all prior measurements. Inter- and intraobserver variability was computed as the absolute difference between the corresponding repeated measurements divided by their mean.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Images obtained with the mTEE transducer were of high quality and allowed MA and AoA tracking throughout the cardiac cycle in all patients. Spatial resolution in the reformatted Cartesian data ranged between 0.3 and 0.9 mm, and the mean temporal resolution was 18.7±8.4 frames per cardiac cycle. Values of the parameters describing MA and AoA behavior are presented in Tables 1 and 2Go, respectively. Figure 4 depicts the main findings related to mitral and aortic valve coupling for MA area, AoA projected area and mitral-aortic angle in correspondence with blood pressure diagram. Maximum and minimum values were 9.9±2.2 and 7.7±2.1 cm2 for MA area, and 4.8±1.3 and 3.6±1.0 cm2 for AoA projected area, respectively. When MA area was maximal during early diastole, AoA projected area was at its minimum, and, conversely, when MA area was minimal during systole, AoA projected area reached its maximum value. Thus, the 2 parameters that describe valve area exhibited a synchronized reciprocal behavior. The minimum value for the angle between mitral and aortic valves occurred at ES and was significantly smaller than the angle measured at ED, IVC, and end-IVR (Figure 4).


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Table 1. Mitral Annulus Measurements
 

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Table 2. Aortic Annulus Measurements
 

Figure 4785907
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Figure 4. Wiggels blood pressure diagram (top), in correspondence with measured MA surface area, AoA projected area and mitral-aortic valves angle computed at end-diastole, IVC, end-systole, and end of end-IVR (vertical dashed lines). Data are shown as mean and SD. Minimum and maximum values of the area curves are shown with the SD of timing as horizontal error bars. Note that the ES angle value was significantly smaller than at the other phases (*P<0.05). LA indicates left atrium.

 
We found that AoA center remained throughout the cardiac cycle in the same plane, corresponding to the 3-chamber view. This plane also contained the MA center. During the period of IVC, as the LV pressure increased, the AoA moved outward, increasing AoA-MA center distance from 25.0±3.2 to 25.8±3.1 mm (P<0.0001). Subsequently, during systole, as the ventricle ejected, both the AoA and MA moved in synchrony toward the apex. Then, during the IVR, as the pressure in the ventricle declined, the AoA moved inward, reaching minimal distance between the centers of the two annuli (25.0±3.5 mm). Finally, during diastole the AoA moved toward the LV base, thus completing a loop and reaching its original position.

The measured parameters reflected the changes in MA geometry throughout the cardiac cycle. MA surface area (Figure 4) reached its maximum value during early diastole (63.9±9.0% of RR) shortly after mitral valve opening, whereas the MA surface area minimum value occurred during ventricular systole (23.0±20.3% of RR). MA area change from MA area at ED ranged from a minimum value of –4.4±6.1% to a maximum value of 25.4±12.7%. As expected, the MA motion curve resembled the LV volume curve2,12 and reached its maximum distance from MA ED position at ES (7.7±2.8 mm). MA anterior section showed less motion throughout the cardiac cycle than the posterior MA section, with maximum anterior MA displacement (7.4±2.5 mm) being significantly smaller than the posterior value (8.2±3.2 mm). Mitral valve height, which represents MA nonplanarity, was equal to 7.4±1.6 mm at end-diastole, then increased during systole to 8.1±1.7 mm, and subsequently decreased gradually during diastole.

Similarly, parameters describing the changes in AoA geometry throughout the cardiac cycle were quantified. At end-diastole, aortic cusp areas were 1.6±0.7, 1.8±0.8, and 1.7±0.7 cm2 for the noncoronary, left and right cusps, respectively. The lengths of the free-cusp edges at end-diastole were 23.6±3.9 mm for the noncoronary, 23.3±4.1 mm for the left, and 22.0±3.7 mm for the right aortic cusps. At ED, the height of the coaptation point above the aortic basal plane was 6.9±1.8 mm, whereas its distance to the 3 lowest AoA cusp points (effective cusp height) was 13.8±2.6, 13.7±2.0, and 13.2±1.9 mm for the noncoronary, left and right cusps, respectively.

The AoA projected area was equal to 4.1±1.2 cm2 at end-diastole, then during IVC it rapidly increased reaching its peak (4.8±1.3 cm2) during the first third of systole (19±12% RR), and then gradually decreased to 3.8±1.1 cm2 at ES, with its minimum value (3.6±1.0 cm2) measured at 57±17% of RR phase. The same pattern was noted in the total annular length, the projected length of the AoA, and the intercommissural distances. Importantly, the left and right semilunar portions of the AoA, corresponding to the cusp insertion sites into the respective sinus of Valsalva, showed the same behavior of the AoA projected area, whereas the noncoronary semilunar portion showed no significant changes throughout the cardiac cycle despite showing a similar trend. Dimensions of noncoronary intercommissural distance and semilunar AoA segment were significantly bigger than left and right ones at end-IVR. Commissure height (AoA nonplanarity) values are reported in Table 2. Of note, the height of the commissure point between the noncoronary and the left cusps was significantly smaller than the other 2 commissural heights at all phases of the cardiac cycle.

The reproducibility data for AoA parameters is summarized in terms of inter- and intraobserver variability in Table 3. Importantly, intraobserver variability was below 10% for all parameters, and, as expected, the interobserver variability was slightly higher for most parameters.


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Table 3. Percentage of Inter- and Intraobserver Variability of Principal Index
 

    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
To date, several imaging modalities have been used to separately study the functional anatomy of the aortic and mitral valve.2,13–15 However, the coupling between the aortic and mitral valves in 3D was studied only in animals using invasive markers.6,7 In humans, transesophageal and real-time 3D transthoracic echocardiography play a fundamental role in the assessment of functional anatomy of these valves,2,16 and can be effectively used to evaluate their potential reparability.13,17 The fast-paced developments in annular prosthetic devices used for mitral and aortic valve repair and replacement have created the need for new quantitative methods for accurate assessment of both mitral and aortic valve dynamics as well as their coupling. This is the first study to develop and test a noninvasive technique for detailed characterization of aortic valve dynamics and quantitative evaluation of mitral and aortic valvular coupling throughout the cardiac cycle in a beating human heart using the newly developed mTEE 3D imaging technology. This technology provides high-quality images of the heart because of the proximity of the transducer to the aortic and mitral valves without the interposition of lungs or bone structures.18

As expected, the mTEE 3D images showed that the aortic cusps are inserted into the wall of the root in a semilunar fashion. The line corresponding to these insertions has been characterized by having collagenous condensation,19 which in this study was considered as the AoA. The AoA was visualized in 3 dimensions as having a crown shape (Figure 3), whereas the base of aortic valve was identified as the planar projection of the AoA passing through the lowest points of the AoA. Because there is no consensus on the definition of aortic "commissures" in 3 dimensions,19,20 we considered the highest points of the crown-shaped AoA as the commissures (Figure 3). In contrast, in keeping with previous studies using RT3DE TTE, the MA was identified as the insertion site of the posterior and anterior mitral leaflets, and was characterized by a saddle shape with its highest point in the midsection of the anterior MA, adjacent to the fibrous aortic curtain.2,5,21

Our analysis technique allowed us to perform for the first time in a beating human heart 3D measurements of aortic cusp area, length of the free edges of the cusps, the height of the coaptation point above the AoA basal plane, as well as the effective cusp height. Several animal studies using invasive markers described differences in the motion patterns of the different aortic sinuses.9,22 We did not find the exact same asymmetrical behavior in our human study, probably because of multiple reasons including the confounding effects of the open chest preparation coupled with marker implantation, but also the relatively limited resolution of the 3D echocardiographic images and their low signal to noise ratio, which could have lead to inaccurate annular tracking. However, we found that the noncoronary semilunar segment of AoA, unlike the other 2 cusps, does not exhibit significant changes in length during the cardiac cycle, possibly because of the proximity of the basal part of the aortic curtain corresponding to the intertrigonal fibrous tissue of the MA that could constrain the expansion of this particular sinus.9,22 In agreement with previous results,19 we found that the noncoronary intercommissural distance and semilunar annular length were the largest. However, in our study this difference was only noted when the valve was under minimal stress at the end-IVR period. Interestingly, we observed a previously undescribed loop-like motion of the AoA, the significance of which in terms of pump efficiency will need to be elucidated in future studies. In agreement with previous studies, our results confirmed that the MA is a deformable structure that changes in dimension and shape during the cardiac cycle.2,23,24 Interestingly, we found that the nonplanarity of the saddle shaped MA was not constant throughout the cardiac cycle, but rather increased during systole. In other words, the aortic curtain that is shared with aortic valve acted as an anchor for the anterior part of the mitral annulus, whereas the posterior part was more mobile.

These observations made for the 2 valves suggest that the fibrous continuity acts as an anchor simultaneously affecting the dynamics of both valves, ie, plays an important role in mitral-aortic coupling, refuting the notion of their independent behavior. Consequently, the projected AoA and MA surface areas throughout the cardiac cycle demonstrated coupled reciprocal behavior, which to our knowledge has not been quantified in humans. Specifically, the timing of the maximum and minimum values of MA and AoA projected areas was inverted when the MA area reached its maximum value in early diastole, the AoA projected area was minimal, and vice versa, during systole, whereas the aortic valve was open, the MA area was minimal, and the AoA projected area was maximal. This reciprocity may contribute toward improved efficiency of the heart as a pump, because AoA contraction may facilitate MA expansion and vice versa. Another factor characterizing the mitral-aortic coupling is the angle between the 2 valves. Our results showed that this angle decreased during ejection, possibly also facilitating ejection of blood through the aortic root. This finding further supports the notion of the role of the fibrous continuity as an anchor that maintains its position when the two annuli move toward each other. Interestingly, there is evidence in literature that aortic valve replacement may, at times, improve the severity of mitral regurgitation.25,26 Moreover, the manner in which flexible versus nonflexible mitral annular rings affect mitral-aortic coupling is unknown. These issues can be further investigated using the technique described in this study. These findings underscore the need to consider the aortic and mitral valves jointly, rather than as separate entities, not only because they are linked anatomically, but also because their dynamic changes in shape and position are reciprocally correlated.

Limitations
Although this protocol was designed to study subjects with normal valves, patients were recruited from those referred for clinically indicated TEE. Therefore, these patients are not a true sample of a normal population. However, the alternative of recruiting normal volunteers for TEE studies was not justifiable in view of risks of sedation and intubation. Also, with the current technology, the full-volume high frame rate RT3DE mTEE acquisition requires 7 cardiac cycles and is thus prone to motion artifacts. Nevertheless, such artifacts in 3D data sets are easy to recognize and additional data sets can be quickly acquired without significantly prolonging the procedure.

Clinical Implications
With the improved understanding of mitral valve functional anatomy, mitral valve repair, as opposed to replacement, is increasingly becoming the surgical approach of choice. Continuous development of new prosthetic mitral annuli with a variety of shapes, specifically designed to preserve the shape function of the MA based on the knowledge gained through 3D studies, is likely to result in significant improvements in the outcomes of mitral valve repair. It is also likely that quantitative analysis of RT3DE mTEE images, such as described in this study, will enhance the understanding of AoA physiology and thus contribute toward the development of better techniques for aortic valve repair. In addition, our results demonstrated the potential of the new RT3DE mTEE technology to quantitatively assess important parameters describing aortic and mitral valve coupling. This technology will allow the assessment of the impact of a variety of mitral and aortic rings on aortic root and MA dynamics, respectively (Figure 5). In our previous studies, differences were found in the dynamic behavior of the mitral annulus between functional and ischemic mitral regurgitation.2 We hypothesize that these differences could significantly affect mitral-aortic coupling. In functional regurgitation, the lack of annular motion is likely to have a negative impact on the effectiveness of ventricular ejection. It is also likely that the use of rigid mitral rings would have similar effects.


Figure 5785907
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Figure 5. Left, Mitral and aortic annuli computed from a RT3DE data set obtained in a patient with severe sclerocalcific aortic stenosis, shown superimposed on a 3-chamber view. Note that the angle between the 2 valves is severely reduced (93°) compared with normal subjects and also the distance between the 2 valve was just 18 mm and did not changed during cardiac cycle. The aortic stenosis was most likely responsible for the reduced change in projected AoA area during the cardiac cycle, having a negative impact on the aortic-mitral coupling as reflected by a decrease in maximum diastolic area change to only 12%, compared with 25.4% of the ED area in normal subjects (Table 1). Right, Mitral and aortic annuli computed from a RT3DE data set obtained in a patient with implanted mitral ring, shown superimposed on a 2-chamber view. Note the deformation in the shape of the AoA. In this subject, reduced motion of the mitral valve (4.5 mm maximum at ES) and reduced MA height (4.3 mm) at ED was noted. In addition, the intercommissural distances where asymmetrical: the distance between the commissures of the left cusp was smaller (18 mm) compared with the noncoronary and right cusps (28 and 27 mm, respectively). Moreover, the saddle shape of the MA was not preserved because of the rigid ring.

 
Conclusions
To our knowledge, this is the first study to simultaneously quantify the functional anatomy of the mitral and aortic valves in 3 dimensions in a beating human heart and to investigate their coupled behavior using the new RT3DE mTEE imaging technology. Our methodology was a key component that allowed us to measure potentially clinically useful parameters and characterize the unique 3D geometry of the normal aortic and mitral annuli. The methodology described in this article may become an important tool for presurgical planning and serial follow-up of patients with valvular disease.


    Acknowledgments
 
Sources of Funding

This study was supported by a travel grant from Regione Lombardia, Italy, and from MIUR-Interlink Project 2004-2006 (to Dr Cerutti).

Disclosures

Dr Lang has received funding from Philips Medical Imaging Speakers’ bureau and research grant; Dr Sugeng has received funding from Philips Medical Imaging Speakers’ bureau, TomTec Imaging Systems GmbH research grant. Other authors have no conflicts.


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
1. Nii M, Roman KS, Macgowan CK, Smallhorn JF. Insight into normal mitral and tricuspid annular dynamics in pediatrics: a real-time three-dimensional echocardiographic study. J Am Soc Echocardiogr. 2005; 18: 805–814.[CrossRef][Medline]

2. Veronesi F, Corsi C, Sugeng L, Caiani EG, Weinert L, Mor-Avi V, Cerutti S, Lamberti C, Lang RM. Quantification of mitral apparatus dynamics in functional and ischemic mitral regurgitation using real-time 3-dimensional echocardiography. J Am Soc Echocardiogr. 2008; 21: 347–354.[CrossRef][Medline]

3. Kwan J, Shiota T, Agler DA, Popovic ZB, Qin JX, Gillinov MA, Stewart WJ, Cosgrove DM, McCarthy PM, Thomas JD. Geometric differences of the mitral apparatus between ischemic and dilated cardiomyopathy with significant mitral regurgitation: real-time three-dimensional echocardiography study. Circulation. 2003; 107: 1135–1140.[Abstract/Free Full Text]

4. Otsuji Y, Handschumacher MD, Liel-Cohen N, Tanabe H, Jiang L, Schwammenthal E, Guerrero JL, Nicholls LA, Vlahakes GJ, Levine RA. Mechanism of ischemic mitral regurgitation with segmental left ventricular dysfunction: three-dimensional echocardiographic studies in models of acute and chronic progressive regurgitation. J Am Coll Cardiol. 2001; 37: 641–648.[Abstract/Free Full Text]

5. Watanabe N, Ogasawara Y, Yamaura Y, Wada N, Kawamoto T, Toyota E, Akasaka T, Yoshida K. Mitral annulus flattens in ischemic mitral regurgitation: geometric differences between inferior and anterior myocardial infarction: a real-time 3-dimensional echocardiographic study. Circulation. 2005; 112: I458–I462.[Medline]

6. Timek TA, Green GR, Tibayan FA, Lai DT, Rodriguez F, Liang D, Daughters GT, Ingels NB Jr, Miller DC. Aorto-mitral annular dynamics. Ann Thorac Surg. 2003; 76: 1944–1950.[Abstract/Free Full Text]

7. Lansac E, Lim KH, Shomura Y, Goetz WA, Lim HS, Rice NT, Saber H, Duran CM. Dynamic balance of the aortomitral junction. J Thorac Cardiovasc Surg. 2002; 123: 911–918.[Abstract/Free Full Text]

8. Lansac E, Lim HS, Shomura Y, Lim KH, Rice NT, Goetz W, Acar C, Duran CM. A four-dimensional study of the aortic root dynamics. Eur J Cardiothorac Surg. 2002; 22: 497–503.[Abstract/Free Full Text]

9. Dagum P, Green GR, Nistal FJ, Daughters GT, Timek TA, Foppiano LE, Bolger AF, Ingels NB Jr, Miller DC. Deformational dynamics of the aortic root: modes and physiologic determinants. Circulation. 1999; 100: II54–II62.[Medline]

10. Veronesi F, Corsi C, Caiani EG, Sarti A, Lamberti C. Tracking of left ventricular long axis from real-time three-dimensional echocardiography using optical flow techniques. IEEE Trans Inf Technol Biomed. 2006; 10: 174–181.[CrossRef][Medline]

11. Cohen B, Dinstein I. New maximum likelihood motion estimation schemes for noisy ultrasound images. Pattern Recognit. 2002; 35: 455–463.[CrossRef]

12. Emilsson K, Alam M, Wandt B. The relation between mitral annulus motion and ejection fraction: a nonlinear function. J Am Soc Echocardiogr. 2000; 13: 896–901.[CrossRef][Medline]

13. de Waroux JB, Pouleur AC, Goffinet C, Vancraeynest D, Van DM, Robert A, Gerber BL, Pasquet A, El KG, Vanoverschelde JL. Functional anatomy of aortic regurgitation: accuracy, prediction of surgical repairability, and outcome implications of transesophageal echocardiography. Circulation. 2007; 116: I264–I269.[Medline]

14. Kaji S, Nasu M, Yamamuro A, Tanabe K, Nagai K, Tani T, Tamita K, Shiratori K, Kinoshita M, Senda M, Okada Y, Morioka S. Annular geometry in patients with chronic ischemic mitral regurgitation: three-dimensional magnetic resonance imaging study. Circulation. 2005; 112: I409–I414.[Medline]

15. Pouleur AC, le Polain de Waroux JB, Pasquet A, Vanoverschelde JL, Gerber BL. Aortic valve area assessment: multidetector CT compared with cine MR imaging and transthoracic and transesophageal echocardiography. Radiology. 2007; 244: 745–754.[Abstract/Free Full Text]

16. Otsuji Y, Handschumacher MD, Schwammenthal E, Jiang L, Song JK, Guerrero JL, Vlahakes GJ, Levine RA. Insights from three-dimensional echocardiography into the mechanism of functional mitral regurgitation: direct in vivo demonstration of altered leaflet tethering geometry. Circulation. 1997; 96: 1999–2008.[Abstract/Free Full Text]

17. Ryan LP, Salgo IS, Gorman RC, Gorman JH III. The emerging role of three-dimensional echocardiography in mitral valve repair. Semin Thorac Cardiovasc Surg. 2006; 18: 126–134.[CrossRef][Medline]

18. Sugeng L, Shernan SK, Salgo IS, Weinert L, Shook D, Ramam J, Jeevanandam V, DuPont F, Settlemier S, Savord B, Fox J, Mor-Avi V, Lang RM. Live three-dimensional transesophageal echocardiography: initial experience using the fully-sampled matrix array probe. J Am Coll Cardiol. 2008; 52: 446–449.[Abstract/Free Full Text]

19. Underwood MJ, El KG, Deronck D, Glineur D, Dion R. The aortic root: structure, function, and surgical reconstruction. Heart. 2000; 83: 376–380.[Free Full Text]

20. Sutton JP III, Ho SY, Anderson RH. The forgotten interleaflet triangles: a review of the surgical anatomy of the aortic valve. Ann Thorac Surg. 1995; 59: 419–427.[Abstract/Free Full Text]

21. Timek TA, Glasson JR, Lai DT, Liang D, Daughters GT, Ingels NB Jr, Miller DC. Annular height-to-commissural width ratio of annulolasty rings in vivo. Circulation. 2005; 112: I423–I428.[CrossRef][Medline]

22. Lansac E, Lim HS, Shomura Y, Lim KH, Rice NT, Goetz WA, Duran CM. Aortic root dynamics are asymmetric. J Heart Valve Dis. 2005; 14: 400–407.[Medline]

23. Ahmad RM, Gillinov AM, McCarthy PM, Blackstone EH, Apperson-Hansen C, Qin JX, Agler D, Shiota T, Cosgrove DM. Annular geometry and motion in human ischemic mitral regurgitation: novel assessment with three-dimensional echocardiography and computer reconstruction. Ann Thorac Surg. 2004; 78: 2063–2068.[Abstract/Free Full Text]

24. Flachskampf FA, Chandra S, Gaddipatti A, Levine RA, Weyman AE, Ameling W, Hanrath P, Thomas JD. Analysis of shape and motion of the mitral annulus in subjects with and without cardiomyopathy by echocardiographic 3-dimensional reconstruction. J Am Soc Echocardiogr. 2000; 13: 277–287.[CrossRef][Medline]

25. Ruel M, Kapila V, Price J, Kulik A, Burwash IG, Mesana TG. Natural history and predictors of outcome in patients with concomitant functional mitral regurgitation at the time of aortic valve replacement. Circulation. 2006; 114: I541–I546.[Medline]

26. Vanden EF, Bouchard D, El-Hamamsy I, Butnaru A, Demers P, Carrier M, Perrault LP, Tardif JC, Pellerin M. Effect of aortic valve replacement for aortic stenosis on severity of mitral regurgitation. Ann Thorac Surg. 2007; 83: 1279–1284.[Abstract/Free Full Text]


 

CLINICAL PERSPECTIVE

To date, several imaging modalities have been used to separately study the functional anatomy of the aortic and mitral valve. However the coupling between the aortic and mitral valves in 3D was studied only in animals using invasive markers. In humans, the newly developed transesophageal real-time 3D echocardiography is increasingly playing an important role in the assessment of functional anatomy of these valves. To our knowledge, this is the first study to develop and test a noninvasive technique for detailed characterization of aortic valve dynamics and quantitative evaluation of mitral and aortic valvular coupling throughout the cardiac cycle in a beating human heart using this new technology. Our results demonstrate the potential of this methodology to quantify parameters describing aortic and mitral valve functional anatomy in three dimensions and their coupling. Our findings underscore the need to consider the aortic and mitral valves jointly, rather than as separate entities, not only because they are linked anatomically, but also because the dynamic changes in their shape and position are reciprocally correlated. This technology will allow the assessment of the impact of a variety of mitral and aortic rings on the annular dynamics.


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Circ Cardiovasc Imaging 2009 2: 24-31. [Abstract] [Full Text] [PDF]




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