Abstract
Since the advent of multi-detector CT scanners, much progress has been made in the evaluation of peripheral arterial disease. Spiral CT was introduced in the early 1990s providing basic assessment of vasculature during contrast injection studies. However, it was multichannel CT that provided the resolution required to confidently elucidate vascular disease. Multi-slice CT emerged in the late 1990s and allowed for better volume coverage with shorter scan times, as multiple slices could be captured during one gantry rotation with decreased gantry rotation time. Overlapping image slices during reconstruction add to the improved longitudinal resolution, and post-processing techniques using submillimeter slices allow for superior two- and three-dimensional rendering (first figure of this chapter). First table of this chapter provides a list of key terms to better understand the literature.
In a meta-analysis published in JAMA in 2009, 20 diagnostic cohort studies analyzed with 957 patients predominately presenting with intermittent claudication (68 %) showed that the overall sensitivity for CTA detecting more than 50 % stenosis or occlusion was 95 % (95 % CI, 92–97 %) and specificity was 96 % (95 % CI, 93–97 %), when compared to intra-arterial DSA (Met et al., JAMA 301(4):415–424, 2009) (Fig. 17.2). Understaging (underestimation of disease severity) occurred in 9 % of segments and overstaging (a significant stenosis was diagnosed by CTA as an occlusion) occurred in 4 % of segments. However, this meta-analysis only included one study with critical limb ischemia (CLI) patients, identifying the need for further evaluation in this population. In addition to lesion severity, CTA is also highly accurate in identifying length and number of lesions (Schernthaner et al., Eur Radiol 18:665–671, 2008), as are required for correct treatment decisions per TASC guidelines, making CTA a valuable tool for therapeutic planning. More recent data with 64 slice CT scanning echoes previous studies, with 98 % accuracy for CT angiography detecting greater than 70 % stenosis, in a prospective cohort of 212 symptomatic PAD patients (acute CLI excluded) (Napoli et al., Radiology 261(3):976–986, 2011) (Fig. 17.3). It further suggested that results could be used to effectively guide clinical management, as therapy recommendations based on CT angiographic findings alone, were identical to those based on DSA findings in all but one patient. Similar results can be found in a cohort of 41 patients with critical limb ischemia and severe claudication (Fotiadis et al., Clin Radiol 66:945–952, 2011), making CTA a useful tool in treatment planning.
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Keywords
- CT angiography
- Multi-detector CT
- Peripheral artery disease
- Maximum intensity projection
- Multiplanar reformatted image
- Curved multiplanar image
- Volume rendered
- Critical limb ischemia
Introduction
Since the advent of multi-detector CT scanners , much progress has been made in the evaluation of peripheral arterial disease. Spiral CT was introduced in the early 1990s providing basic assessment of vasculature during contrast injection studies. However, it was multichannel CT that provided the resolution required to confidently elucidate vascular disease. Multi-slice CT emerged in the late 1990s and allowed for better volume coverage with shorter scan times, as multiple slices could be captured during one gantry rotation with decreased gantry rotation time. Overlapping image slices during reconstruction add to the improved longitudinal resolution, and post-processing techniques using submillimeter slices allow for superior two and three-dimensional rendering (Fig. 17.1). Table 17.1 provides a list of key terms to better understand the literature.
In a meta-analysis published in JAMA in 2009, 20 diagnostic cohort studies analyzed with 957 patients predominately presenting with intermittent claudication (68 %) showed that the overall sensitivity for CTA detecting more than 50 % stenosis or occlusion was 95 % (95 % CI, 92–97 %) and specificity was 96 % (95 % CI, 93–97 %), when compared to intra-arterial DSA [1] (Fig. 17.2). Understaging (underestimation of disease severity) occurred in 9 % of segments and overstaging (a significant stenosis was diagnosed by CTA as an occlusion) occurred in 4 % of segments. However, this meta-analysis only included one study with critical limb ischemia (CLI) patients, identifying the need for further evaluation in this population. In addition to lesion severity, CTA is also highly accurate in identifying length and number of lesions [2], as are required for correct treatment decisions per TASC guidelines, making CTA a valuable tool for therapeutic planning. More recent data with 64 slice CT scanning echoes previous studies, with 98 % accuracy for CT angiography detecting greater than 70 % stenosis, in a prospective cohort of 212 symptomatic PAD patients (acute CLI excluded) [3] (Fig. 17.3). It further suggested that results could be used to effectively guide clinical management, as therapy recommendations based on CT angiographic findings alone were identical to those based on DSA findings in all but one patient. Similar results can be found in a cohort of 41 patients with critical limb ischemia and severe claudication [4], making CTA a useful tool in treatment planning.
CT Angiogram: Protocol Basics
Typical CT angiography scanning protocols include a digital radiograph called the “scout image,” a non-enhanced scan, a test bolus or bolus triggering, the contrast-enhanced CT angiogram, and an optional delayed-phase acquisition to capture late opacification of distal vessels. The delayed-phase acquisition may be necessary in conditions of slow moving contrast, due to severe vascular disease, low cardiac output states, or significant aneurysms. Popliteal artery aneurysms can be well visualized by CTA (Fig. 17.4).
Patients are positioned supine, arms overhead to reduce contributing artifact, and legs close together with slight internal rotation of the feet. Proper positioning is important. For example, plantar extension of the foot can cause compression of the popliteal artery by the gastrocnemius muscle in popliteal artery entrapment syndrome and can be misinterpreted as atherosclerotic steno-occlusive disease. Only a single breath-hold is necessary (during abdominal acquisitions), and scan times can be as short as 15–40 s. The entire study can involve less than 15 min of room time, making CTA useful when rapid assessment of critical limb ischemia is required, as opposed to more time-consuming modalities such as ultrasound or MRI. Table 17.2 contains a CTA runoff protocol utilized at Loyola University Medical Center, adopted from D. Fleischmann at Stanford University.
Basic Principles of Image Acquisition
The scout image is typically a coronal topogram from below the diaphragm (to include the renal arteries) to the tip of the feet, roughly 130 cm. Contrast is injected through an established peripheral IV typically no smaller than 20G. The amount of time needed for contrast to appear in the abdominal aorta, the contrast transit time, can be accounted for via test bolus or bolus-triggering protocols. This is important as it determines when to start image acquisition. For bolus triggering, a region of interest is identified in the abdominal aorta typically at a level above the renal arteries, and an attenuation threshold is set (e.g., 130 HU). The scan is started when a desired attenuating threshold is met. A test bolus (typically 20 cc) can allow for correct timing of scan initiation; however, table speed and overall scan times should be carefully selected as to not allow image acquisition to “outrun” the contrast. Low flow states, such as with cardiomyopathy, and severe atherosclerotic disease should be accounted for. Additionally, aortic aneurysms can have turbulent blood flow with dilution of contrast media and cause delay in transit. Another approach is to calculate aortic and popliteal transit times via the use of two test boluses. Of note, prolonged scan times may also result in venous opacification, which can be adjusted for in post-processing. Contrast flow rate and volume can be adjusted for body weight/size and delivered via a power injector. Typical flow rates are between 3 and 6 mL/s of iodinated contrast media, resulting in approximately 1.5 g of iodine per second depending on media concentration selected and total contrast volume around 130 mL. Biphasic injections are often used to provide steady delivery over time.
Radiation Exposure
Tube voltage, collimation, and pitch can be adjusted to reduce radiation exposure and maintain adequate resolution, with lower voltage for patients with lower BMI. Protocols have been developed lowering the tube voltage from commonly used 120–80 kVp, showing significant reductions in radiation exposure [5]. Using a 64 channel multi-detector CT, Iezzi et al. demonstrated a weighted CT dose index of 12.96 mGy for their 120-kVp moderate noise reduction protocol, 6.34 mGy for their 80-kVp moderate noise reduction protocol, and 5.89 mGy for their 80-kVp high noise reduction protocol, with an effective calculated dose of 29.32, 14.64, and 11.43 mSv, respectively. These protocols combined with a high iodine concentration media allowed for significant radiation reduction, up to 61 %, without sacrificing image quality. Low radiation doses and good diagnostic performance have also recently been demonstrated with 128 slice dual-source CT using 80 kVp with high pitch [6]. For a point of reference, a chest X-ray gives a radiation dose of 0.01 mSv, and annual background radiation is 3.0 mSv [1]. Preserving scan quality with decreasing radiation remains an active area of research.
Post-processing Techniques
Post-processing techniques have dramatically advanced our ability to detect steno-occlusive disease, aiding in identification of lesion severity, length, and number along the course of any given vessel. Stacks of two-dimensional axial slices can be assimilated into three-dimensional volumetric data sets. From these data sets, maximum intensity projections (MIPs) , multiplanar reformatted (MPR) images , curved multiplanar (CPR) images , and volume-rendered images can be created to aid in pathological analysis (Fig. 17.5). A maximal intensity projection (MIP) provides a layout that most closely resembles an invasive angiogram and is very useful in providing a road map view of the course of peripheral vessels. MIPs are created by displaying the brightest voxel in every ray or line of sight. This ensures that high attenuation structures such as contrast-filled vessels and calcification/bone are prominently displayed. The bone is typically removed by automated or semiautomated programs, leaving the arterial tree. One should be aware that this can be a source of artifact (editing misregistration, Fig. 17.6). MIPs however do not provide adequate depth information and can pose a problem defining relationships to anatomic structures. Volume-rendered images however provide color and three-dimensional displays of the vasculature in relation to organs and bone, which can additionally be edited. The MIP and VR image alone is not sufficient for evaluating vessel stenosis in the presence of dense calcifications or stents, because the brightness of these elements can obscure interpretation of the vessel lumen. Thin-slab MIPs and multiplanar reformations allow better visualization of steno-occlusive disease in the presence of calcifications and stents (Fig. 17.7). The most basic MPRs are transverse cuts such as sagittal and coronal images. However, because peripheral vessels can be tortuous, they may cut in and out of the MPR plane, thus allowing only short segments of the vessel of interest to be viewed. In this case, the vessel path can be traced along its center line using multiple MPR (coronal, sagittal, oblique) and axial images to create a curved planar reformatted image (CPR) which can delineate an entire vessel’s course, in one image. CPR images are essential in evaluating eccentric lesions, since multiple cross-sectional views are obtained to adequately visualize the vessel lumen and construct the CPR image. MPR/CPR slices can be thickened as needed for full vessel view.
Imaging Artifacts
With calcifications, endovascular stents and automated image processing, certain artifacts, and misrepresentations may arise, which are summarized in Table 17.3. In the setting of a narrow viewing window, calcifications or stent struts can display overly bright and appear artificially larger in size giving the appearance of more severe steno-occlusive disease and thus overestimation of disease severity. This is known as blooming artifact (Fig. 17.8). Window level/width should be increased for better grayscale differentiation to diminish brightness of calcification/stents and allow visualization of vessel lumen when possible. Editing artifacts, perhaps during automated bone removal, may lead to false vessel narrowing or occlusion if part of the vessel is misregistered and removed as the bone. Alternatively, misregistration can cause part of the bone to be left in mimicking pathological disease. Stents can also provide streak artifacts known as beam hardening. Multiple view MPR and CPR images are paramount for further analysis. However, inaccurately drawn center lines when constructing CPR images can overestimate steno-occlusive disease.
CTA Evaluation of Vascular Stents
Stent evaluation has made progress in the era of 64 slice multi-detector CT scanning with improved resolution and image reconstruction. Despite this, there are still challenges, such as metallic (gold) markers at bilateral stent edges providing artifact that can hinder interpretation [7]. When stents are overlapped, the artifact can extend to the stent body. In a study using 64 slice MDCT to evaluate 41 patients with a total of 81 stents, Li et al. found that 19 stents (23.5 %) had uninterpretable segments due to artifact. Protocol parameters included collimation width 64 mm × 0.6 mm, pitch 1.1, rotation time 0.33 s, table speed 63 mm/s, tube voltage 120 kV, and tube current 250 mAs. They determined that specificity remained high despite sensitivity being somewhat lower due to un-evaluable stents and concluded that overall accuracy for detecting in-stent stenosis was still acceptably good [7]. Multiple cross-sectional views using multiplanar reformatted images should be used for stent lumen evaluation. Furthermore, contrast enhancement of distal runoff vessels alone was found not to be a reliable indicator of stent patency, due to the presence of collateral vessels. Collateralization can be well appreciated by CT angiography (Fig. 17.9 ).
In order to evaluate stent restenosis, not only must one visualize the lack of contrast within the lumen in a sagittal or coronal section but also look at specific axial sections to truly evaluate stent patency. Manipulation of raw CTA is needed to help enhance spatial resolution. Spatial resolution can be improved by decreasing slice thickness and by manipulating reconstruction kernels or filters.
Kohler et al. used dual-source CT (DSCT) to evaluate stent characteristics by analyzing lumen diameter, intraluminal density, and noise of 22 peripheral stents in a vessel phantom [8]. The vessel phantoms that were used were made of plastic tubes of different diameters filled with contrast material and then submersed in vegetable oil diluted to 250 HU and then in a larger plastic container, which was then diluted to −70 HU to simulate perivascular fat. Each of the 22 stents of different luminal size and length then underwent DSCT with four different types of image acquisitions that were obtained by different reconstruction kernels. It was found that visualized stent lumen diameter varied depending on the type of stents. Visibility of the lumen diameter could be increased with increasing the sharpness of reconstruction kernel, whereas smoothening of the reconstruction kernel resulted in more realistic intraluminal density measurement with less intraluminal noise. It is important to note that while assessing for stent restenosis, the CTA protocol may need to be tailored based on the type of stent being evaluated [8].
Imaging of Infra-popliteal Vasculature
In patients with extensive arterial wall calcification or atherosclerosis, imaging of infra-iliac and specifically infra-popliteal arteries can be difficult due to slower flow of contrast through these areas and resulting CT image acquisition “outrunning” the contrast. To compensate, a test run is done from below the diaphragm to the toes. Next, the delay time between the initiation of contrast administration and the initiation of scanning for optimal intraluminal contrast enhancement is calculated. Those with poor cardiac output or slow distal runoffs can undergo delayed imaging, for example, 90 s delay from contrast initiation. This technique is not always necessary and should only be employed when the poor enhancement of the distal arteries is noticed after the initial scan (Fig. 17.10).
Digital Subtraction Angiography (DSA) and CTA
Although DSA is used as a reference standard against which noninvasive imaging is compared, it has downsides as well, one limitation being two-dimensional imaging of a three-dimensional structure. The severity of an occlusion may be over- or underestimated depending on the angle from which the vessel’s image is acquired [9]. In a study comparing pre-amputation angiogram vs. post-amputation pathology, DSA tended to underestimate the severity of stenosis, plaque concentricity, and grading of calcification even in normal-appearing vessels [10]. Another drawback is DSA’s need for good contrast timing for visualization of the vasculature in satisfactory detail. This task may be difficult in assessing different bypass grafts given complex anatomy leading to poor contrast timing and suboptimal vessel opacification (Fig. 17.11). Compared with conventional DSA, the sensitivity and specificity of multi-detector row CT (MDCT) angiography in the detection of significant stenosis, aneurysmal changes, and arteriovenous fistulas of arterial bypass grafts were more than 95 % [11] (Fig. 17.12). Advances in MDCT and post-processing techniques make CT angiography a valuable tool in the assessment of critical limb ischemia, acute and chronic [12].
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Acknowledgment
Mr. Vasilios “Bill” Vasilopoulos, AA, AAS, R.T.(R), 3D Technologist in Radiology at Loyola Medical Center for post-processed images, annotated vascular anatomy, adjusted the colors of the indicator arrows for homogeneity, and anonymized for exporting.
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Rao, S., Ganguli, S., Rabbat, M.G. (2017). CT Evaluation of Critical Limb Ischemia. In: Dieter, R., Dieter, Jr, R., Dieter, III, R., Nanjundappa, A. (eds) Critical Limb Ischemia. Springer, Cham. https://doi.org/10.1007/978-3-319-31991-9_17
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