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AJR 2000; 174:820-822
© American Roentgen Ray Society


Technical Innovation

Usefulness of CT Angiography with Volume Rendering After Carotid Angioplasty and Stenting

X. Leclerc1, J. Y. Gauvrit and J. P. Pruvo

1 All authors: Department of Neuroradiology, Hôpital Roger Salengro, University Hospital of Lille, France

Received April 16, 1999; accepted after revision August 16, 1999.

 
Address correspondence to X. Leclerc, Service de Neuroradiologie, Hôpital Roger Salengro, Boulevard du Professeur Leclercq, 59037 Lille, France.


Introduction
Top
Introduction
Subjects and Methods
Results
Discussion
References
 
Previous reports have shown the effectiveness of helical CT with three-dimensional reconstructions to evaluate carotid artery stenosis, although calcifications of the vessel wall may obscure the visualization of the residual lumen on maximum-intensity-projection images [1, 2]. Volume-rendering technique is a new three-dimensional postprocessing algorithm based on a selection of voxels of the image with adjustment of opacity for each selected material to allow change in the transparency [3]. This method has recently shown its usefulness to assess the residual arterial lumen through arterial-wall calcifications [4]. Another potential application of volume-rendering technique is using helical CT for follow-up of patients treated with carotid angioplasty and stenting because the arterial lumen can be analyzed theoretically despite the high-attenuation values of the stent.

The purpose of this study was to evaluate the feasibility of using the volume-rendering technique for visualization of the arterial lumen through the stent wall.


Subjects and Methods
Top
Introduction
Subjects and Methods
Results
Discussion
References
 
From January 1998 to February 1999, we performed carotid angioplasty with stenting in six patients (six men; age range, 47-74 years; median age, 73 years). All patients were referred from the vascular surgery department for a high-grade carotid restenosis that had occurred after endarterectomy. Patients underwent Doppler sonography and conventional angiography before angioplasty. Endovascular treatment was performed by femoral approach using a 3- or 4-cm self-expandable stent (Easy Wall-stent; Schneider, Minneapolis, MN). Follow-up helical CT angiography was performed at a median delay of 2 months after the procedure (range, 1-14 months). Informed consent was obtained from all patients for helical CT examinations.

CT was performed on a Somatom Plus 4A scanner (Siemens, Erlangen, Germany) with continuous data acquired for 40 sec and started approximately 2 cm below the stent. A total volume of 120 ml of nonionic contrast material was administered IV at a rate of 3 ml/sec, using a power injector. Helical scanning (2-mm collimation, 3-mm/sec table speed, 12-cm field of view, 120 kV, 200 mA, 512 x 512 matrix) was automatically triggered by a tracking acquisition that continuously monitored the attenuation values from the volume of interest in the common carotid artery. A threshold of 25 H was predetermined and continuous images were acquired at the lower part of the acquisition volume every 3 sec for 30 sec with a 10-sec scan delay after the start of the contrast material injection. When the attenuation value increased at the arrival of contrast material and exceeded the defined threshold value, the helical scanning automatically started. The axial images were reconstructed at 0.5-mm increments using a 180° linear-interpolation algorithm. A high-spatial-frequency convolution algorithm was used. The window level was preset between 150 and 300 H, with a width of between 400 and 800 H.

CT data were transferred to an independent workstation (Magic View; Siemens) for three-dimensional reconstructions including maximum-intensity-projection and volume-rendering technique algorithms. Regions of interest were manually selected on axial source images. As previously reported [4], volume-rendering technique is based on a statistical classification using trapezoid of each voxel according to the different materials present in the voxel. The position and the shape of the trapezoid determine the number and the attenuation of the voxels incorporated into the image, whereas the opacity value determines their relative transparency. Parameters were determined in a preliminary study. The first trapezoid related to the enhanced arterial lumen and ranged from 200 to 600 H, and the second trapezoid related to the wall of the stent and ranged from 780 to 3000 H (Fig. 1). An opacity value was then determined to define the relative transparency of each material. We chose by empiric approach a maximal opacity value (100%) for the contrast material and a minimal opacity value (5%) for the stent to visualize the enhanced arterial lumen through the stent wall. The time required by technologists to manually select the images and to display maximum-intensity-projection and volume-rendered images was approximately 15 min.



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Fig. 1. —Graph shows trapezoid parameters for visualization of arterial lumen (left) and stent (right). Points A and D represent minimum and maximum attenuation values, respectively. Points B and C represent maximum variation of attenuation of contrast material.

 


Results
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Introduction
Subjects and Methods
Results
Discussion
References
 
Using the bolus-tracking technique, arterial contrast enhancement appeared optimal in all patients and enabled us to perform a complete evaluation of the arterial lumen from the common carotid artery below the stent to the upper portion of the internal carotid artery at the skull base. No motion artifact was observed. The use of a high-spatial-frequency convolution algorithm and appropriate windows allowed us to differentiate the wall of the stent from the enhanced arterial lumen within the prosthesis in all patients. However, axial source images showed an apparent increase in the thickness of the stent wall (Fig. 2A). Maximum-intensity-projection reconstructions did not allow the visualization of the arterial lumen owing to the higher attenuation values of the stent compared with those of the enhanced arterial lumen (Fig. 2B). Volume-rendered images showed accurate delineation of the enhanced arterial lumen through the stent despite the thickness of the stent wall, which appeared uniformly increased (Fig. 2C).



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Fig. 2A. —47-year-old man 1 month after carotid angioplasty and stenting. Axial CT scan obtained at mid portion of stent shows accurate differentiation between high-attenuation values of stent (arrow) and enhanced arterial lumen (arrowhead).

 


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Fig. 2B. —47-year-old man 1 month after carotid angioplasty and stenting. Maximum-intensity-projection CT scan shows that high-attenuation values of stent (arrow) obscure arterial lumen of internal carotid artery.

 


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Fig. 2C. —47-year-old man 1 month after carotid angioplasty and stenting. Volume-rendered CT scan reveals accurate delineation of arterial lumen (black arrow) through stent despite apparent increase in thickness of stent wall (white arrow).

 


Discussion
Top
Introduction
Subjects and Methods
Results
Discussion
References
 
Percutaneous transluminal angioplasty with stenting constitutes a promising therapeutic approach for carotid artery stenosis that is currently under investigation [5]. Noninvasive techniques such as duplex sonography, MR angiography, or helical CT are required for follow-up to avoid catheter angiography. Duplex sonography provides both morphologic and hemodynamic data [6], but the superior portion of the stent may be difficult to evaluate because of the skull base. Contrast-enhanced MR angiography constitutes another noninvasive technique that has proved its effectiveness for the evaluation of carotid stenosis [7] but susceptibility artifacts may hinder complete visualization of the stent. CT angiography with volume rendering is a third technique that can allow visualization of the arterial lumen through the stent. Parameters of acquisition used in our study were similar to those usually used by other investigators for imaging carotid arteries [1, 2, 4]. However, a bolus-tracking acquisition technique was included in our protocol to optimize contrast enhancement during the arterial phase. This technique enabled us to differentiate the enhanced arterial lumen from the wall of the stent on axial source images in all patients.

By applying a volume-rendering algorithm, we classified voxels according to the probability that they contained a tissue type. The two selected materials (contrast material and stent) were retained by using trapezoid functions with specific adjustments of parameters. However, this method led to an overestimation of the thickness of the stent wall in all patients despite having separate trapezoids for the arterial lumen and the stent wall. This overestimation was probably related to a partial volume effect of voxels at the border of the stent including portions of both the arterial lumen and the stent wall [8]. This misclassification of voxels depends on the position of the trapezoids and can be minimized by using thin slices, overlapping reconstruction, and a high-resolution matrix. Despite this limitation, the high-attenuation values related to the stent could be assessed in their transparency by applying a low-opacity value; this technique allowed accurate delineation of the arterial lumen through the stent.

In conclusion, volume-rendered images provided three-dimensional angiographic appearance with good analysis of the relationship between arterial lumen and stent. This technique might be useful to evaluate the carotid artery after angioplasty with stenting and especially to detect restenosis in the long-term follow-up after treatment.


Acknowledgments
 
We thank Olivier Godefroy for his helpful comments, Eric D'haese for photographic reproductions, Corinne Rose and Melanie Cnockaert for their assistance in preparing the manuscript, and the technical staff of the CT department for their support.


References
Top
Introduction
Subjects and Methods
Results
Discussion
References
 

  1. Leclerc X, Godefroy O, Pruvo JP, Leys D. Computed tomographic angiography for the evaluation of carotid artery stenosis. Stroke 1995;26:1577-1581[Abstract/Free Full Text]
  2. Marks MP, Napel S, Jordan JE, Enzmann DR. Diagnosis of carotid artery disease: preliminary experience with maximum-intensity-projection spiral CT angiography. AJR 1993;160:1267-1271[Abstract/Free Full Text]
  3. Johnson PT, Heath DG, Bliss DF, Cabral B, Fishman EK. Three-dimensional CT: real-time interactive volume rendering. AJR 1996;167:581-583[Free Full Text]
  4. Leclerc X, Godefroy O, Lucas C, et al. CT angiography with volume rendering in internal carotid artery stenosis. Radiology 1999;210:673-682[Abstract/Free Full Text]
  5. Jordan WD, Schroeder PT, Fisher WS, McDowell HA. A comparison of angioplasty with stenting versus endarterectomy for the treatment of carotid artery stenosis. Ann Vasc Surg 1997;11:2-8[Medline]
  6. Erickson SJ, Mewissen MW, Foley WD, et al. Stenosis of the internal carotid artery: assessment using color Doppler imaging compared with angiography. AJR 1989;152:1299-1305[Abstract/Free Full Text]
  7. Remonda L, Heid O, Schroth G. Carotid artery stenosis, occlusion, and pseudo-occlusion: first-pass, gadolinium-enhanced, three-dimensional MR angiography—preliminary study. Radiology 1998;209:95-102[Abstract/Free Full Text]
  8. Preidler KW, Brossmann J, Daenen B, et al. Measurements of cortical thickness in experimentally created endosteal bone lesions: a comparison of radiography, CT, MR imaging, and anatomic sections. AJR 1997;168:1501-1505[Abstract/Free Full Text]

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