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DOI:10.2214/AJR.06.0232
AJR 2007; 188:356-360
© American Roentgen Ray Society


Original Research

Feasibility and Optimization of Aortic Valve Planimetry with MDCT

Suhny Abbara1, Antonio J. Pena, Paul Maurovich-Horvat, Javed Butler, David E. Sosnovik, Alexander Lembcke, Ricardo C. Cury, Udo Hoffmann, Maros Ferencik and Thomas J. Brady

1 All authors: Department of Radiology, Massachusetts General Hospital, 165 Cambridge St., Ste. 400, Boston, MA 02114.

Received February 12, 2006; accepted after revision May 30, 2006.

 
Address correspondence to S. Abbara (sabbara{at}partners.org).

J. Butler and M. Ferencik were supported in part by National Institutes of Health (NIH) grant 1 T32 HL076136-02.


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. The aortic valve can be assessed using MDCT; however, measurements of the aortic opening area vary with the cardiac cycle. In this study, we sought to assess the optimal timing for measuring the area of the aortic opening with MDCT.

MATERIALS AND METHODS. Retrospectively gated MDCT was performed in 57 patients with the following parameters: gantry rotation time, 420 milliseconds; tube voltage, 120 kV; tube current, 550 mAs with tube current modulation; and slice collimation, 16 x 0.75 mm. From 72 to 100 mL of contrast agent (320 g/mL3) was injected IV at 4-5 mL/s. High-resolution data sets were obtained for planimetry at phase starts of 0, 50, 100, 150, and 200 milliseconds after the R wave peak and were assessed for aortic opening area and the presence of artifacts.

RESULTS. In 41% of patients, the cardiac phase with the largest aortic opening area was at 50 milliseconds after the R wave peak. The area of the aortic opening measured at 0 milliseconds after the R peak was 2.7 ± 0.8 cm2 (mean ± SD); at 50 milliseconds, 2.9 ± 0.2 cm2; at 100 milliseconds, 2.9 ± 0.7 cm2; at 150 milliseconds, 2.8 ± 0.7 cm2; and at 200 milliseconds, 2.4 ± 0.8 cm2. The image quality was best at 50 milliseconds after the R peak in 42% of patients, 100 milliseconds in 29%, 150 milliseconds in 20%, 0 milliseconds in 7%, and 200 milliseconds in 2%. The aortic valve appeared closed in three patients at 0 milliseconds and in four patients at 200 milliseconds. Fewer artifacts were present in the midsystolic phases (i.e., 50-150 milliseconds) ("double-leaflet" artifact, 5-13%; "incomplete contour" artifact, 20-26%) than in the early (0 milliseconds) and late (200 milliseconds) systolic phases (double-leaflet artifact, 38% and 43% of patients; incomplete contour artifact, 76% and 73%, respectively).

CONCLUSION. Aortic valve planimetry is best performed at phase starts of 50-100 milliseconds after the R peak because the area of the aortic opening is widest and image quality is best at that phase.

Keywords: aorta • aortic valve • cardiac imaging • coronary artery disease • heart disease • MDCT • planimetry


Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
MDCT is becoming an increasingly important tool in the diagnosis of coronary artery disease [1, 2]. Aortic stenosis is the most prevalent valvular disease in adults of Westernized societies and shares many pathologic and epidemiologic features in common with coronary artery disease [3]. Besides congenital aortic stenosis and degenerative changes in a congenitally bicuspid valve, the most common cause of aortic stenosis is atherosclerotic disease of a trileaflet aortic valve. It can thus be predicted that in many cases in which a patient is referred for MDCT to assess for atherosclerotic coronary artery disease, an assessment of the aortic valve might be of interest as well.

Unlike aortic valve assessment on echocardiography, MRI, and cardiac catheterization, which derive an index of functional aortic valve area by pressure or velocity measurements, the assessment of aortic stenosis on MDCT is purely anatomic and is performed through direct anatomic planimetry of the valve in midsystole, when the valve cusps are open and relatively quiescent [4-9]. Although the questions of clinical utility and role of aortic valve planimetry using MDCT require further studies, several technical questions related to the technique require clarification. The aim of this study was thus to investigate the technical feasibility of aortic valve planimetry using MDCT and to determine whether any technical factors in the acquisition or reconstruction of images impact image quality significantly. In particular, because the area of the aortic valve must be measured in midsystole, we sought to determine the temporal characteristics of the ideal acquisition window in which to perform planimetry.


Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Study Design and Patient Population
The study population consisted of 57 consecutive patients who underwent MDCT for the assessment of coronary artery disease. Data about these patients were reviewed retrospectively. The institutional review board approved the study protocol. These patients had clinical indications that prompted an assessment of coronary artery disease. Exclusion criteria were standard MDCT contraindications, including elevated level of serum creatinine (> 1.8 mg/dL), arrhythmias, and inability to hold breath.


Figure 1
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Fig. 1A —Aortic valve images in 52-year-old man with coronary artery disease. Multiphasic images reconstructed for dynamic assessment show aortic valve through entire cardiac cycle.

 


Figure 2
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Fig. 1B —Aortic valve images in 52-year-old man with coronary artery disease. Multiphasic images reconstructed for dynamic assessment show aortic valve through entire cardiac cycle.

 


Figure 3
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Fig. 2A —Aortic valve reconstructions in systolic phases. Separate data sets reconstructed at acquisition windows starting at 0-200 milliseconds after R peak in 61-year-old man with coronary artery disease were obtained for planimetric orifice measurement. Acquisition windows are 105-210 milliseconds wide (gantry rotation of 420 milliseconds, multisegment reconstruction depending on heart rate).

 


Figure 4
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Fig. 2B —Aortic valve reconstructions in systolic phases. Images of 54-year-old woman with coronary artery disease show example of closed valve at 200-millisecond phase start and double-leaflet sign at 150 milliseconds.

 
MDCT Protocol
MDCT was performed using a 16-MDCT scanner (Sensation 16, Siemens Medical Solutions). A standard coronary imaging protocol was applied including the use of IV ß-blockers for patients with heart rates of more than 65 beats per minute (bpm), unless contraindicated, and image acquisitions were performed during a breath-hold in inspiration. Imaging parameters included a slice collimation of 16 x 0.75 mm, a gantry rotation time of 420 milliseconds, a tube voltage of 120 kV, and a tube current of 550 mAs. Tube current modulation was applied unless the heart rate was more than 70 bpm or occasional premature ventricular contractions were present.

The contrast agent used was iodixanol (320 g/mL3) [Visipaque, GE Healthcare]), which was injected IV at a rate of 4-5 mL/s. After an initial test bolus, a study contrast bolus (range, 72-100 mL) was injected with timing tailored to yield peak arterial opacification. For the test-bolus acquisition, a region of interest was placed above the aortic valve in the ascending thoracic aorta. Aortic opacification was measured in 2-second intervals until a decline in aortic contrast concentration was visible. The exact timing of peak opacification was then assessed by reviewing the Hounsfield unit data in each image.

The coronary CT angiography acquisition was reconstructed using a multisegment reconstruction algorithm. This algorithm uses projection data from two consecutive heart beats to generate one image in order to minimize the temporal resolution for that image. The resulting temporal resolution is heart rate-dependent and ranges from 105 to 210 milliseconds (one fourth to one half of the gantry rotation speed).

Aortic Valve Orifice Area Estimation
A multiphase data set consisting of 10 phases at 10% intervals ranging from 0% to 90% of the cardiac cycle was reconstructed for visual assessment of aortic valve motion (Fig. 1A, 1B). A slice thickness of 1.5 mm with an increment of 1.5 mm was used to keep the size of this data set manageable. In addition, high-resolution images, each with a heart rate-dependent reconstruction window length of 105-210 milliseconds, were reconstructed for planimetry at five different systolic phases (Fig. 2A, 2B). In the first set of high-resolution images, the acquisition was started with a phase start beginning with the isovolumetric contraction immediately on the R wave. In the second to fifth midsystolic sets, the start points for the reconstruction windows were shifted by 50 milliseconds to cover phase starts from 0 to 200 milliseconds.

The data sets were transferred to an offline workstation (Leonardo, Siemens Medical Solutions) for planimetry and analyzed by a single experienced MDCT reviewer.


Figure 5
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Fig. 3A —Aortic planimetry in 53-year-old man with coronary artery disease. Area of aortic valve opening is measured by tracing inner border of aortic cusps (dotted line, B).

 


Figure 6
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Fig. 3B —Aortic planimetry in 53-year-old man with coronary artery disease. Area of aortic valve opening is measured by tracing inner border of aortic cusps (dotted line, B).

 
The plane of the aortic root short axis was determined by creating image planes orthogonal to the left ventricular outflow tract and aortic root long axis.

The area of the aortic valve opening was found by scrolling through the short-axis images toward the tip of the cusps until the smallest opening was found. Using a manual region-of-interest tool at that slice location, planimetry was then performed by tracing the inside borders of the coronary cusps.

In each of these five cardiac phases (0-200 milliseconds phase start), the aortic valve orifice area was traced and reported in square centimeters (cm2) (Fig. 3A, 3B).

For each phase the image quality was rated on a subjective scale from 0 to 10, with zero being uninterpretable and 10 being excellent. The presence and type of artifacts were recorded for each phase. The recorded types of artifacts included the "double-leaflet" artifact (present if at least one valve cusp was illustrated with two contours or lines within an image), "incomplete contour" artifact (present if < 80% of the leaflet circumference was visible in the image selected for planimetry), and image blurring (present if any portion of the valve leaflet illustrated unsharpness).

Statistical Analysis
Demographic analyses were performed on the study population. Descriptive exploratory analysis was performed on the aortic opening area and imaging quality data in all patients. Continuous data are presented as means ± SD, with ranges provided when appropriate, and categoric data are presented as proportions. The data for aortic opening area and image quality were also assessed stratified by patient age (> 65 vs < 65 years) and sex. All analyses were performed using statistics software (version 11.0, SPSS).


Results
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Patient Population
Overall, 57 patients were assessed. Of these patients, 39 were men and 18 were women. The mean age of the study population was 55.7 ± 7.7 years (range, 39-83 years). The heart rate of the patients ranged from 41 to 89 bpm (average, 61.3 ± 10.0 bpm). A consistent heart rate of less than 65 bpm throughout scanning was achieved in 68% of the patients. In four patients, tube current modulation was not used because of high heart rates or the presence of occasional premature ventricular contractions.

Aortic Orifice Area Assessment
In 83% of the patients, the largest average aortic valve area was seen in one of the images from the midsystolic data sets (phase start, 50-150 milliseconds after R wave peak) (Fig. 4). The results were similar when stratified by patient sex and age (detailed data not shown). The area of the aortic valve measured with a phase start in isovolumetric contraction (phase start, 0 milliseconds after R wave peak) averaged 2.7 ± 0.8 cm2 (range, 1.5-4.6 cm2), whereas in isovolumetric relaxation (phase start, 200 milliseconds after R wave), it averaged 2.4 ± 0.8 cm2 (range, 1.0-4.5 cm2). On the other hand, aortic valve area was highly consistent in all three midsystolic frames, averaging 2.9 ± 0.2 cm2 (range, 1.8-5.6 cm2) with a 50-millisecond delay after the R wave, 2.9 ± 0.7 cm2 (range, 1.8-4.9 cm2) with a 100-millisecond delay, and 2.8 ± 0.7 cm2 (range, 1.8-4.6 cm2) with a 150-millisecond delay. However, whereas no differences were seen between the planimetric aortic opening area in the various frames of the midsystolic data set, differences were observed in image quality.


Figure 7
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Fig. 4 —Bar graph shows largest aortic valve orifice area was found at phase starts of 50-150 milliseconds (ms) after R peak in most (81%) cases.

 
Image Quality
In 76% of the patients, image quality was rated as at least 8, or higher, on a 0- to 10-point scale with 10 being the best quality. Image quality was significantly better when the reconstruction window was started shortly after isovolumetric contraction. The best image quality was seen in 42% of cases during the first midsystolic frame (phase start, 50 milliseconds) versus in 29% in the second frame (phase start, 100 milliseconds) and 20% in the third frame (phase start, 150 milliseconds). These results are shown graphically in Figure 5. The image quality in frames encompassing isovolumetric contraction and relaxation was significantly worse, and the aortic valve appeared closed in seven patients.


Figure 8
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Fig. 5 —Bar graph shows that, similar to aortic orifice opening, best overall image quality was seen 50 milliseconds (ms) after R wave peak in most cases.

 


Figure 9
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Fig. 6 —Bar graph shows highest prevalence of artifacts was observed in earliest (phase start of 0 milliseconds [ms]) and latest (phase start of 200 milliseconds) systolic phases, whereas midsystolic phases (50-150 milliseconds) exhibit relatively little image artifact. Gray bars show percentage of cases with doublecontour artifacts, and black bars show percentage of cases with incomplete contour artifacts.

 
Image blurring was most pronounced in the early and late phases (95% of patients at a phase start of 0 milliseconds; 85%, at 200 milliseconds), but it was also frequently encountered in the midsystolic frames (71% at a phase start of 50 milliseconds; 55%, at 100 milliseconds; and 61%, at 150 milliseconds).

Double-leaflet artifacts and incomplete contour artifacts were present in substantially fewer cases in the midsystolic phases (double-leaflet artifact, 5-13%; incomplete contour, 20-26% of cases) than in the early and late systolic phases (double-leaflet artifact, 38% and 43%; incomplete contour artifact, 76% and 73% of cases, respectively) (Fig. 6).


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
The role of MDCT is becoming increasingly recognized in the diagnosis of coronary artery disease [1-2]. Although many of the patients referred for coronary artery imaging using MDCT can be expected to have concomitant aortic valve disease, the role of MDCT in the diagnosis of aortic stenosis has not been well studied [3]. We show in this study that MDCT can be used to measure anatomic aortic valve area by planimetry in midsystole, but the position of the reconstruction window can significantly affect image quality. We found that the anatomic area of the aortic valve was largest during midsystole, and no significant difference was seen in aortic valve area regardless of where in midsystole the reconstruction window was placed. However, image quality was clearly better in the reconstruction windows starting soonest after isovolumetric contraction than in those starting later. Several factors may be responsible for this finding, but it is most likely because of the maximal avoidance of aortic valve motion during late systole. As newer 64-MDCT scanners become more widely available, even shorter reconstruction windows will be possible, which will likely improve image quality even more [10].

In most patients, aortic valve disease is currently assessed using transthoracic echocardiography. With modern scanners and appropriate attention to detail, the area of the aortic valve can be measured directly in most patients. It should be noted, however, that the measurement of aortic valve area by pressure (cardiac catheterization) or velocity (Doppler imaging and phase-contrast MRI) gradients across the valve is inherently a measure of functional valve area [4-8]. This functional valve area reflects the physiologic effects of coexisting valvular heart disease—most notably, aortic regurgitation and mitral regurgitation—and other variables affecting ventricular loading. Direct planimetry of the aortic valve using MDCT, on the other hand, is a purely anatomic measurement of valve area in systole and is not influenced by the flow dynamics to which that the valve is subjected. It is thus possible that an assessment of functional valve area using echocardiography or MRI and an assessment of anatomic valve area using MDCT could be integrated into a highly complementary data set addressing different aspects of the condition. This may become particularly useful in the research setting as more therapies are developed to treat calcific aortic stenosis medically; however, this needs to be studied further.

Previously, Willmann et al. [11] reported their results on patients who were to undergo aortic valve surgery. Fifteen patients underwent unenhanced MDCT, and 25 underwent contrast-enhanced MDCT. The aortic valve was visualized almost free of motion artifacts on all of the MDCT images. The image quality and diagnostic confidence for assessing aortic valve morphology were significantly superior on contrast-enhanced images compared with unenhanced images. Both unenhanced and contrast-enhanced CT showed good agreement with the surgical findings with regard to quantification of the degree of aortic valve calcification. However, measurements of the diameter of the aortic valve annulus using the contrast-enhanced images were more reliable [11].

Several limitations in our study require discussion. First, we assessed patients who had neither significant aortic valve disease nor aortic valve calcification. Whether the accuracy of aortic valve area planimetry is compromised in calcified abnormal valves remains to be studied. Second, a large and rapid fluid bolus (100 mL at 4-5 mL/sec) is required to acquire these images. Such a fluid challenge may not be tolerated by some patients with severe aortic stenosis and highly hypertrophied noncompliant left ventricles. The inability of aortic valve area planimetry using MDCT to measure the physiologically and clinically relevant functional valve area was discussed earlier in this article. It is thus unlikely that MDCT could be used as the sole technique with which to evaluate aortic stenosis; however, its combination with either echocardiography or MRI may provide additive information. Finally, we assumed that the anatomic valve orifice is planar and lies fully in the plane of the image.

In summary, the role of MDCT in the assessment of cardiac disease is increasing and the technique now has an established role in the assessment of coronary artery disease. We show in this study that MDCT can potentially be used to evaluate stenotic aortic valves, which often coexist with coronary artery disease. Additional studies need to be performed to further clarify the accuracy of the technique and its role in the clinical decision-making process.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Hoffmann U, Moselewski F, Cury RC, et al. Predictive value of 16-slice multidetector spiral computed tomography to detect significant obstructive coronary artery disease in patients at high risk for coronary artery disease: patient-versus segment-based analysis. Circulation 2004;110 : 2638-2643[Abstract/Free Full Text]
  2. Achenbach S, Daniel WG. Imaging of coronary atherosclerosis using computed tomography: current status and future directions. Curr Atheroscler Rep 2004; 6:213 -218[Medline]
  3. Carabello BA. Clinical practice: aortic stenosis. N Engl J Med 2002; 346:677 -682[Free Full Text]
  4. Mochizuki Y, Pandian NG. Role of echocardiography in the diagnosis and treatment of patients with aortic stenosis. Curr Opin Cardiol 2003; 18:327 -333[CrossRef][Medline]
  5. Carroll JD. Cardiac catheterization and other imaging modalities in the evaluation of valvular heart disease. Curr Opin Cardiol 1993; 8:211 -215[Medline]
  6. Maslow AD, Mashikian J, Haering JM, et al. Transesophageal echocardiographic evaluation of native aortic valve area: utility of the double-envelope technique. J Cardiothorac Vasc Anesth2001; 15:293 -299[CrossRef][Medline]
  7. Naqvi TZ, Siegel RJ. Aortic stenosis: the role of transesophageal echocardiography. Echocardiography 1999;16 (7 Pt 1):677 -688[Medline]
  8. John AS, Dill T, Brandt RR, et al. Magnetic resonance to assess the aortic valve area in aortic stenosis: how does it compare to current diagnostic standards? J Am Coll Cardiol2003; 42:519 -526[Abstract/Free Full Text]
  9. Kupfahl C, Honold M, Meinhardt G, et al. Evaluation of aortic stenosis by cardiovascular magnetic resonance imaging: comparison with established routine clinical techniques. Heart2004; 90:893 -901[Abstract/Free Full Text]
  10. Leber AW, Knez A, von Ziegler F, et al. Quantification of obstructive and non-obstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol2005; 46:147 -154[Abstract/Free Full Text]
  11. Willmann JK, Weishaupt D, Lachat M, et al. Electrocardiographically gated multi-detector row CT for assessment of valvular morphology and calcification in aortic stenosis. Radiology2002; 225:120 -128[Abstract/Free Full Text]

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