Abstract
Purpose of Review
The goal of this review is to present a concise summary of the current literature on the use of dual-energy computed tomography (DECT) for vascular imaging.
Recent Findings
DECT techniques have shown significant promise and useful applications for the detection of subtle pulmonary embolism, intramural hematoma, active bleeding, and differentiation of bleed from contrast staining in the brain, with potentially less radiation and improved accuracy.
Summary
Vascular imaging with DECT has many new applications through enhanced technology and postprocessing algorithms.
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Introduction
Dual-energy computed tomography (DECT) is an emerging technology in the field of medical imaging with a variety of vascular applications. As opposed to conventional computed tomography (CT) that emits x-rays from a single source at a single peak energy level (often 120 kVp) in which x-rays are received by a single detector set, DECT has the advantage of analyzing the interaction of materials submitted to two energy levels (often 80 and 140 kVp) to generate additional data.
Currently, three DECT systems have gained favor in the clinical setting (Table 1). This review will specifically focus on dual-source DECT as it is the primary form of DECT employed at our institution. The principles of DECT and its general application in vascular imaging will be reviewed followed by a discussion on specific vascular imaging applications.
Principles of DECT
Conventional CT relies on two phenomena: the photoelectric effect and Compton scattering [1]. In brief, the photoelectric effect is the attenuation observed when a photon expels an electron from the innermost orbit (k-shell) of an atom. The likelihood of expelling an electron increases with high atomic number materials (iodine and calcium) at low-range energies because the photon energy needed to exceed the k-shell of these materials (k-edge) closely matches the low-energy source. Elements with low atomic numbers (hydrogen, oxygen, and carbon) attenuate both low- and high-energy sources at a relatively equal rate due to both energy sources not matching their low k-edge values. Two different materials may display similar attenuation values when submitted to a given level of energy, such as iodine and calcium, depending on their relative concentration. Given that DECT uses information from two energy levels (high and low), body constituents made of different materials will have a distinct spectral signature. The low-energy beam in DECT enables the exploitation of the photoelectric effect for material characterization [2]. For an in-depth discussion on the principles of DECT, readers are referred to the White Paper on DECT series of articles [3,4,5,6].
General Application in Vascular Imaging
Three-Material Decomposition
A major component of DECT is the processing of unique spectral data. DECT postprocessing software can deconstruct each voxel based on the presence of three base materials (fat, iodine, and soft tissue) on a dual-source DECT system by comparing the attenuation of each material at high and low energies. Decomposition is carried out on the basis of attenuation coefficients [7]. DECT postprocessing techniques have numerous applications in acute care settings [8,9,10,11,12,13,14]. DECT is particularly useful for vascular imaging with respect to creating virtual unenhanced images [15] and bone removal [16].
Virtual unenhanced imaging can also be created following a contrast-enhanced study with DECT to mimic true unenhanced images. Since each voxel is decomposed into three materials, the resulting image can be constructed with or without iodine content simulating either an angiographic image or true unenhanced image, respectively [15]. Consequently, the unenhanced acquisition necessary for angiographic imaging may be eliminated altogether with DECT. This reduces radiation exposure to the patient and time in the scanner.
Bone-removal imaging is based on a similar concept in which each voxel is examined for calcium, iodine, and blood. The voxels that contain bone are targeted and assigned a low attenuation value (− 1024 Hounsfield units). Thus, bone is largely invisible to the viewer, and a clear image of the blood vessels is provided. This is particularly useful in imaging craniocervical and peripheral arterial vasculature [16]. Compared to conventional angiographic imaging, DECT allows for more accurate visualization of the vascular supply through tortuous bony structures in the body, especially those in which bone is intimately associated with vessels such as the intercostal arteries [17].
Virtual Monochromatic Images
Virtual monochromatic images (VMIs) are images created with DECT data that simulate images obtained from a true monochromatic (or monoenergetic) source. Conventional CT, despite its heavy filtration, is polychromatic with photon energies displaying a large range. DECT algorithms can process the two polychromatic beams in a DECT scanner to create VMIs. The key advantage of VMIs for vascular imaging is the ability to reduce the beam hardening observed with the absorption of low-energy photons coming from the polychromatic beam. VMIs created at low keV levels can more closely approximate the k-edge of contrast, thus increasing the attenuation of iodine, improving the contrast resolution between structures and allowing a reduction in the amount of contrast needed to obtain similar quality images [18]. The application of VMI at higher energy levels to vasculature surrounding stents, clips, and coils helps to reduce artifacts and improves visualization [19].
Head and Neck
Brain Hemorrhage
With respect to imaging of the head, DECT is most useful in differentiating new intermittent hemorrhage versus contrast staining after intra-arterial recanalization/revascularization (IAR). A well-known adverse outcome, new hemorrhage is reported to occur in up to 15% of patients receiving IAR [20]. Unfortunately, contrast staining of the parenchyma due to blood–brain barrier breakdown also occurs at approximately the same time post-IAR [21]. Differentiating the two phenomena is challenging because iodinated contrast and blood have very similar CT attenuation values (Fig. 1). DECT is ideal for identifying potentially catastrophic post-IAR bleed because DECT algorithms can separate blood, iodine, and soft tissue based on spectral signals. Specifically, the contribution of iodine to the image can be calculated (iodine mapping) and then subtracted from the blended image to create a VNC image. Use of both iodine mapping and VNC has been shown to increase the positive predictive value and overall accuracy in hemorrhage detection post-IAR [22••].
DECT is also advantageous over conventional CT angiography during the initial identification and characterization of active bleeding (Fig. 2). The spot sign is a radiographic sign that presents as a hyperdense area on contrast-enhanced imaging and is strongly associated with both active bleeding as well as postdetection mortality [23]. The use of iodine mapping and VNC images as previously described works well to identify hemorrhage with the added advantage of reduced radiation because no nonenhanced scan is required with DECT (compared to conventional CT angiography, which requires serial scans). It has been shown that the intracranial hemorrhages detected on a per-patient and per-lesion level with DECT are approximately, 100% and 96%, respectively [24].
Cervical Angiography
Another potential use of DECT is for the characterization of carotid atherosclerosis. Despite being a cost-efficient option compared to conventional angiography, DECT for cervical angiography with the application of bone-subtraction techniques enhance the diagnostic accuracy in calculation of the stenotic percentage due to its ability to subtract the calcified plaques. The same principles are applied during lower limb CT angiography. Different bone-subtraction techniques are traditionally applied to avoid this issue in conventional CT arteriography. Both digital subtraction and CT arteriography bone subtraction through unenhanced acquisition have their limitations, including increased radiation exposure and motion artifact between two acquisitions, respectively [25, 26]. Residual bone, vessel truncation, and inadequate vessel delineation are major pitfalls of threshold-based bone subtraction [27]. Compared to unenhanced mask bone subtraction with CT arteriography, DECT bone subtraction provides similar bone removal but better imaging in the cervical region where there is potential for motion. Although unenhanced mask bone subtraction with CT arteriography is ideal for cranial vasculature (due to less motion between image acquisitions), this comes at the cost of increased radiation doses due to the need to create unenhanced acquisitions [28].
Body
Aortic Imaging
The combination of low kVp images, mixed images, and material removal allows for superior aortic imaging with DECT. Images with dual-source DECT are acquired simultaneously, thus preventing misregistration due to motion, allowing improved subtraction or fusion of images and ultimately better characterization of aortic pathology. It is suggested that DECT should include both mixed images and low kVp imaging [17]. For mixed images, optimal vascular attenuation is achieved with low keV reconstructions. This, however, results in increased image noise [29].
A key strength of DECT in aortic imaging is the use of virtual unenhanced images to reduce radiation dosage. Typically, patients are exposed to a measurable radiation dose when undergoing CT arteriography for acute aortic syndrome, which typically includes nonenhanced and enhanced phases. A nonenhanced phase is often done to determine the presence of intimal calcification or intramural (hyperdense) hematoma in case of an aortic dissection. The yield of the nonenhanced phase is often low, but it is necessary to expose the patient to this radiation to rule out an acute aortic syndrome that may be masked or overlooked on the postcontrast study only. With DECT, however, virtual unenhanced imaging is 95% diagnostic and exposes patients to considerably less radiation [30•]. A recent study confirmed that image noise and attenuation measurements were equivalent between both virtual unenhanced imaging and conventional CT imaging [31].
Endoleak Detection
DECT is also extremely useful in detecting endoleaks while minimizing radiation exposure. The typical method of detecting endoleaks in the aorta (after stent repair) involves bi- or tri-phasic imaging techniques (enhanced arterial and delayed imaging) [32]. Patients are often followed lifelong after aneurysm repair, resulting in a substantial cumulative radiation burden. Previous studies support the use of DECT imaging over conventional imaging [33, 34]. In particular, Stolzmann et al. reported DECT with only a single delayed DECT acquisition phase had both a sensitivity and specificity above 96% to detect endoleaks. Accuracy of endoleak detection can be further improved with the iodine selective images produced by DECT (Fig. 3). These images can be grayscale or overlaid on mixed images using a superimposed color. Subtle endoleaks are detected because the overlay maps highlight differences in attenuation due to iodine, blood, or bone [35].
Pulmonary Embolism
One of the key advantages of DECT in chest imaging is for the evaluation of pulmonary embolism. VMIs provide enhanced views of the pulmonary arteries compared to conventional CT. Attenuation to the level of the subsegmental arteries can be achieved with low-energy (< 60 keV) VMIs (Fig. 4). This allows for increased accuracy when assessing pulmonary imaging [36].
Moreover, iodine maps created with the DECT material decomposition technique further help assess perfusion defects caused by pulmonary emboli in a similar way to ventilation–perfusion scans. Iodine maps resemble perfusion images, whereas attenuation of the lung parenchyma with DECT scans resembles ventilation images. Iodine maps can be used to identify areas of pulmonary infarction that appear as nonperfused triangular-shaped areas that are often larger than the pulmonary consolidation revealed when using the lung window view. Conversely, iodine maps in the setting of pulmonary embolism not causing an infarct appear as areas of minor attenuation with no related parenchymal changes. According to Zhang et al., the combination of iodine maps and DECT was found to be 89% sensitive and 92% specific compared to 67% and 100%, respectively, for conventional pulmonary MDCTA [37]. Therefore, iodine mapping is more sensitive at detecting small acute pulmonary emboli (Fig. 5) [37]. With respect to the chronic complications of pulmonary embolism, it is reported that DECT perfusion is more sensitive (100%) and specific (92%) compared to conventional CT at detecting chronic thromboembolic pulmonary hypertension [38•].
Vascular Trauma
In the trauma setting, DECT has an emerging role in identifying sites of active bleeding and detecting pseudoaneurysms while minimizing radiation exposure. With respect to blunt abdominal trauma, both arterial (~ 30 s after contrast injection) and portal venous (~ 80 s after contrast injection) phases of abdominal CT are acquired. Furthermore, delayed phase imaging (~ 5-10 min after contrast injection) is often required to confirm the presence of active bleeding or a pseudoaneurysm (Fig. 6). Thus, patients undergoing imaging for vascular trauma are exposed to multiple scans resulting in cumulative radiation. Using both virtual unenhanced images and iodine mapping has been found to increase the conspicuity of active extravasation (Fig. 7) while simultaneously reducing radiation exposure [39, 40]. Sun et al. reported that DECT can be utilized to identify active hemorrhage in the bowel and decrease radiation dose by almost one-third compared to standard multiphasic protocols [41••].
DECT is also extremely useful in cases of polytrauma with multiple fractures. For instance, osseous fragments in comminuted pelvic fractures are difficult to differentiate from active extravasation of intravenous contrast with conventional CT as they have similar attenuation. As previously discussed, the material separation processing technique that is unique to DECT allows for small fragments of bone to be subtracted from the image, making it easier for the viewer to identify areas of active intravenous contrast extravasation [42, 43].
Lower Limb Angiography
DECT’s high-quality bone-subtraction techniques have a strong advantage over the conventional multidetector CT (MDCT) and digital subtraction angiography employed to investigate vascular pathology in lower limb angiography. Although it is noninvasive with less radiation exposure and scanning time compared to digital subtraction angiography, MDCT comes with the drawback of having a time-consuming Hounsfield unit-threshold-based bone-subtraction technique [44]. DECT is not only more time efficient with respect to bone subtraction in lower limb angiography, but can also create higher-quality images [45, 46]. The bone-subtraction technique employed by MDCT is known to obscure tiny vessels close to bone (such as the dorsalis pedis artery). This can be misinterpreted by the reader as severe stenosis or a complete occlusion of the vessel (Fig. 8). DECT avoids this inherent issue because it relies on the attenuation difference between iodine and calcium [43]. Indeed, sensitivity (97.2%) and specificity (94.1%) for dual-energy bone-subtraction arteriography in the lower limbs are higher than threshold-based bone subtraction (77.1% and 70.7%, respectively) when evaluating clinically significant stenosis (> 75%) [47].
Conclusions
DECT is a versatile imaging tool that is quickly gaining favor in the field of vascular imaging. Its growing use is mainly based on the unique three-material decomposition techniques and the reconstruction of VMIs. The appropriate use of these techniques often leads to decreased radiation exposure to the patient, reduced interpretation time, and similar (if not superior) diagnostic accuracy compared to the gold standard imaging modalities in the evaluation of vascular pathology such as brain hemorrhage, endoleaks, pulmonary embolism, and vascular trauma.
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Disclosures
Dr. Khosa is the recipient of the Vancouver Coastal Health – Healthcare Hero Award (2018); the Canadian Association of Radiologists/Canadian Radiological Foundation Leadership Scholarship (2017), and Vancouver Coastal Health Leadership Award (2017).
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Ahmed Alharthy, Matthew D’Mello, Hatim Alabsi, Nicolas Murray, Omar Metwally, Khaled Y. Elbanna, Mohammed F Mohammed, and Faisal Khosa declare no potential conflicts of interest.
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Alharthy, A., D’Mello, M., Alabsi, H. et al. Vascular Imaging: Utilization of Dual-Energy Computed Tomography. Curr Radiol Rep 7, 26 (2019). https://doi.org/10.1007/s40134-019-0337-5
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DOI: https://doi.org/10.1007/s40134-019-0337-5