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DOI: 10.4103/ijri.IJRI_241_19
Applications of dual energy CT in clinical practice: A pictorial essay
Financial support and sponsorship Nil.
- Abstract
- Introduction
- Applications in Clinical Practice
- Conclusion
- References
Abstract
In dual-energy CT (DECT), two different x-ray spectra are used to acquire two image datasets of the same region, to allow the analysis of energy-dependent changes in the attenuation of different materials. Each type of material demonstrates a relatively specific change in attenuation between images obtained with a high-energy spectrum and those obtained with a low-energy spectrum. Based on the relatively specific change in attenuation with two different energies, material composition information can be obtained to allow tissue characterization. The DECT ability of material differentiation allows bone removal in various CT angiography studies and bone marrow edema depiction, while with material optimization, metal artefacts can be significantly reduced to almost nil. DECT allows material separation to differentiate uric acid crystals from calcium to determine the composition of urinary calculi and to diagnose gout. Using the DECT ability of material decomposition, iodine maps can be generated, which are useful in the evaluation of any enhancing lesion in the body without the need to obtain a plain scan and allow perfusion maps to be created in cases of pulmonary thromboembolism.
Introduction
In diagnostic imaging, the photoelectric effect is the most important mechanism by which the x-ray photons interact with matter. The chances of this effect increase as the energy of the x-ray beam approaches the Kedge of the particular atom.[[1]] Different atoms have different Kedge values and hence behave differently at different energies of the x-ray beam.
In dual-energy CT, two different x-ray spectra are used to acquire two image datasets of the same anatomic region, allowing analysis of energy dependent changes in the attenuation of different materials.[[2]] Every material shows a relatively specific change in attenuation between images obtained with a high and a low-energy spectrum and this attenuation difference allows better characterization of the tissues. Two different materials that show similar attenuation on images acquired with one of the two energy spectra, may show substantial differences in their attenuation on the images acquired with the other spectrum and hence may be easily differentiated.[[3]]
There are multiple techniques available for dual energy CT imaging which can be broadly classified as:
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Dual source DECT
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Single source DECT.
Single source DECT can be further divided based on the exact mechanism to generate two different energy spectra as:
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Fast kV switching
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Dual layer detector
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Slow kV switching
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Dual spiral dual energy
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Twin beam dual energy.
We use the Siemens Somatom Definition Edge CT scanner which is based upon a single source twin beam dual energy technique [[Figure 1]].


In twin beam DECT, two different filters Tin [Sn] and Gold [Au] are used to split the x-ray beam from a single source into two beams of different energies. The greatest advantage of this technique over the many of the other techniques mentioned above is eliminating temporal mis-registration.
Applications in Clinical Practice
Material differentiation
Bone removal in angiography
As DECT has the ability to differentiate different materials from one another, calcium in the bones is readily separated from iodine in the contrast media. Hence the bones in any angiography study can be easily removed. This is particularly useful in cerebral [[Figure 2]] and lower limb angiography [[Figures 3] and [4]], where manual methods can be difficult and time consuming, especially when the vessels lie close to bones.[[4],[5]] Similarly, calcified plaques can be removed for better visualisation of the lumen [[Figure 5]].








Bone marrow edema
Bone marrow edema is best visualised on MRI imaging. However with DECT, it is now possible to evaluate bone marrow edema on CT scan as well. As DECT can differentiate calcium from other elements, it can also selectively remove calcium from the region of interest. This is called virtual non-calcium (VNC) technique and it allows visualisation of bone marrow edema.[[6]] Multiple studies have validated this technique for bone marrow edema detection.[[7],[8]]
It is especially useful in acute fractures where MRI may not be possible [[Figures 6] and [7]]. Kaup M et al.[[9]] demonstrated the utility of DECT for bone marrow edema evaluation in osteoporotic vertebral compression fractures and found that its diagnostic performance approached that of MRI.




Material optimisation
Metal artefact reduction
Metal in prosthesis can cause significant artefacts and hamper evaluation of periprosthetic soft tissue. These metal artefacts are caused by beam hardening artefacts.[[10]]
Radiographs are typically obtained post-operatively but they have low sensitivity and specificity.[[11]] MRI is a great tool to assess bone marrow edema and soft tissue lesions but the images are distorted by metal artefacts.[[12]]
With the conventional CT, multiple techniques are available to reduce the metal artefacts.[[13]] Increasing in tube current, increasing voltage and reducing slice thickness can help reduce metal artefacts. Various modifications in reconstructions techniques like changing the deconvolution kernel from bone to soft tissue or smooth kernel, using interactive reconstructions and extending the Hounsfield unit scale from 4000 to 40000 HU can also help reduce metal artefacts.
Using DECT, the artefacts from metal can be significantly reduced to almost nil. As the artefacts are more at lower energy x-ray beams, the monochromatic images at higher keV settings show significantly less artefacts.
Additionally, iterative reconstruction protocols such as iMAR (interactive metal artefact reduction) can be used that further reduce the metal artefacts. When both the techniques are used together, the final result shows almost nil metal artefacts [[Figures 8] and [9]]. This allows the visualisation of periprosthetic soft tissue to identify complications such as periprosthetic osteolyis, fracture, infection, aseptic loosening, focal particle disease and tumor. Metal artefact reduction can also be used for evaluation of stents and to detect endoleak after aneurysm repair.[[14]]




Material separation
DECT has the ability to separate different materials based on their specific dual energy ratio. Hence, uric acid crystal can be separated from calcium, both of which otherwise appears hyperdense on conventional single energy CT.
Urinary stones
As different types of renal calculi are treated differently, knowledge of the composition of stones may guide management decisions and predict the effectiveness of therapy. For example, uric acid calculi can be managed medically with urine alkalinization that facilitates dissolution, while non-uric acid calculi need other lines of treatment such as lithotripsy or surgery.[[15]]
Using DECT, it is possible to differentiate uric acid from non-uric acid calculi. Keeping the dual energy ratio at 1.05, the uric acid stones lie below the line/slope and are coloured red, whereas the non-uric acid stones lie above the line/slope and are differently colour-coded (blue) [[Figures 10] and [11]].




Gout
Gout is characterized by an inflammatory response to the deposition of monosodium urate (MSU) crystals in the joints and soft tissue, which leads to acute or chronic arthropathy and gouty tophi formation. Diagnosis can be made on clinical and biochemical bases, and definite diagnosis requires microscopic demonstration of MSU crystals from the aspiration of the joint fluid,[[16]] a method that is invasive and may have false negative results.
Keeping the dual energy ratio specific to uric acid crystals, the uric acid crystals are coloured green, whereas calcium is coloured blue. The diagnosis of gout can be easily made, non-invasively [[Figure 12]].


With DECT, it is also possible to quantify the overall tophus burden or volume of urate deposition without any user variability. Thus, makes DECT an ideal tool for evaluating any change in tophus burden and can be used for follow-up to document response to treatment[[17]] [[Figure 13]].


Material decomposition
Iodine maps
Lung
Pulmonary Thromboembolism
The dual energy iodine maps allow us to evaluate lung perfusion and hence are useful to demonstrate perfusion defects in cases of pulmonary thromboembolism. Additionally, the dual energy iodine maps also improve visualisation of filling defects/thrombi in a small segmental or subsegmental artery. Fink et al.[[18]] showed the sensitivity and specificity of dual-energy CT perfusion mapping for the assessment of pulmonary embolism to be 100% on a per patient basis and 60-66.7% and 99.5-99.8% on a per se gment basis, as compared to CT angiography.
In patients with pulmonary thromboembolism, the dual energy perfusion maps show peripheral wedge-shaped areas of reduced perfusion representing perfusion defects [[Figure 14]]. They are also very useful for the follow up of such patients who are treated with anticoagulants to demonstrate both a decrease in perfusion defects as well as the thrombi [[Figures 15] and [16]].






One should keep in mind the areas where artefacts are commonly seen and should not misinterpret them as areas of perfusion defects. These artefactual perfusion defects are commonly seen in the upper lobes due to beam hardening artefacts, in the medial segment of the right middle lobe and lingula due to cardiac pulsation and in the lung bases due to diaphragmatic motion. The other common pitfall is apparent perfusion defects in an area of lung parenchyma with systemic arterial supply. Also, parenchymal diseases such as collapse, consolidation, masses and emphysema show perfusion defects.[[19]]
Lung nodule
With DECT a single contrast enhanced scan is sufficient to differentiate an enhancing nodule from calcification with the use of virtual nonenhanced image reconstructions.[[20]] The enhancing and non-enhancing components of a heterogeneous lesion are better appreciated on iodine maps, which also help target the appropriate area for biopsy, to increase the yield [[Figure 17]].


Degree of contrast enhancement is an important factor to differentiate a benign from a malignant lesion.[[21]] Hence dual energy analysis with iodine maps is very useful in the evaluation of solitary or multiple pulmonary nodules. The enhancement in a nodule is not always easily appreciable on routine CT scan and DECT iodine maps help confirm or rule out enhancement conclusively [[Figures 18] and [19]].




Difference in the contrast wash out pattern of a metastatic nodule can be used to evaluate various types of primary malignant tumors. For example, metastases from colorectal carcinoma, malignant melanoma and thyroid carcinoma show a distinct wash out pattern whereas those from lung cancer, salivary gland cancer and sarcoma show increased enhancement in the delayed phase images.[[22]]
Liver lesions
A hypervascular lesion is more conspicuous on lower kV images on an arterial phase of the study, as iodine is more attenuating at lower energies.[[23]] DECT may be used to identify fat, iron, calcium, or hemorrhage within the tumor. Virtual non-enhanced images can be used to differentiate calcification in a lesion from enhancement.
DECT iodine maps are especially useful in differentiating a simple cyst from a complex cyst as they show the subtle enhancement in the lesion very well, which is often difficult to appreciate on a single energy CT scan [[Figures 20] and [21]].




Kidney lesions
DECT is useful in differentiating a hyperdense cyst from an enhancing solid tumor. A hyperdense cyst containing proteinaceous material or blood products may mimic a solid enhancing tumor on a contrast enhanced scan. In such situations, iodine maps help as a hyperdense cyst will not show iodine uptake. Also, virtual non-enhanced images will show hyperdense contents in the cyst. Similarly, enhancement in a hyperdense lesion may be difficult to appreciate on routine CT images and DECT iodine maps show the enhancement well even in hyperdense parts of the lesion [[Figure 22]].


Adrenal lesions
The majority of the adrenal lesions seen on an abdomen CT scan are benign. On imaging the diagnosis of a benign adrenal lesion can be confidently made if it shows a Hounsfield value (HU) value of less than 10 on an unenhanced image (adenoma), shows macroscopic fat (myelolipoma) or has attenuation of water (cyst). The appearance of an adenoma on DECT is variable and may show decrease or increase in attenuation at lower kV images than higher, depending on the amount of lipid within the lesion.[[24]] DECT iodine maps can help pick up enhancing focal lesions in an adrenal gland [[Figure 23]].


Bowel pathologies
DECT is helpful in the evaluation of inflammatory bowel pathologies and shows the inflammation/enhancement of the wall better [[Figure 24]]. It is also useful in assessing the severity and evaluate extraintestinal manifestations. Iodine maps demonstrate bowel wall enhancement/hyperemia in cases of inflammatory bowel disease. Coexisting neoplastic lesion can also be better assessed with DECT in such cases.


Post ablation analysis
Radiofrequency ablation (RFA) is now frequently used to treat a focal lesion in the liver, lung or kidney. It is important to detect residual tumor post RFA to decide if re-ablation is necessary. Conventionally, contrast enhanced single energy CT has been used to evaluate the success of RFA, and it may be difficult to pick up residual tumor and differentiate it from post ablation changes. DECT allows better depiction of the enhancing component in residual lesions using iodine overlay images, while the necrotic post-ablation regions appear avascular and do not show iodine uptake [[Figure 25]]. Monochromatic images also allow selection of the optimal keV that shows the best contrast to noise ratio between the tissues, thus allowing better evaluation of the interface between the ablation zone and surrounding tissue.[[25]]


Atomic number maps (Rho/Z)
The new dual energy CT application allows calculation of the atomic number in the lesion, for separation of various materials. Mileto et al.[[26]] showed that non-enhancing renal cysts, including hyperattenuating cysts, can be discriminated from enhancing masses on effective atomic number maps. They concluded 8.36 value was the optimal threshold with the enhancing masses showing higher values. Our cases also showed similar results [[Figures 26] and [27]].




Conclusion
DECT is useful in clinical practice and clearly has many advantages over conventional single energy CT scanners. Various applications described in this pictorial essay highlight the growing importance of DECT. Some new applications which may be used in future are under evaluation. One such example is liver iron estimation in patients with thalassemia.[[27],[28]]
Conflict of Interest
There are no conflicts of interest.
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References
- 1 Curry III TS, Dowdey JE, Murry RC. Christensen’s Physics of Diagnostic Radiology. 4th ed. Philadelphia, PA: Lea and Febiger; 1990: 61-9
- 2 Alvarez RE, Macovski A. Energy-selective reconstructions in X-ray computerized tomography. Phys Med Biol 1976; 21: 733-44
- 3 Kaza RK, Platt JF, Cohan RH, Caoili EM, Al-Hawary MM, Wasnik A. Dual-energy CT with single- and dual-source scanners: Current applications in evaluating the genitourinary tract. Radiographics 2012; 32: 353-69
- 4 Morhard D, Fink C, Graser A, Reiser MF, Becker C, Johnson TR. Cervical and cranial computed tomographic angiography with automated bone removal: Dual energy computed tomography versus standard computed tomography. Invest Radiol 2009; 44: 293-7
- 5 Sommer WH, Johnson TR, Becker CR, Arnoldi E, Kramer H, Reiser MF. et al. The value of dual-energy bone removal in maximum intensity projections of lower extremity computed tomography angiography. Invest Radiol 2009; 44: 285-92
- 6 Pache G, Krauss B, Strohm P, Saueressig U, Blanke P, Bulla S. et al. Dual-energy CT virtual noncalcium technique: Detecting posttraumatic bone marrow lesions—feasibility study. Radiology 2010; 256: 617-24
- 7 Guggenberger R, Gnannt R, Hodler J, Krauss B, Wanner GA, Csuka E. et al. Diagnostic performance of dual-energy CT for the detection of traumatic bone marrow lesions in the ankle: Comparison with MR imaging. Radiology 2012; 264: 164-73
- 8 Ai S, Qu M, Glazebrook KN, Liu Y, Rhee PC, Leng S. et al. Use of dual-energy CT and virtual non-calcium techniques to evaluate post-traumatic bone bruises in knees in the subacute setting. Skeletal Radiol 2014; 43: 1289-95
- 9 Kaup M, Wichmann JL, Scholtz JE, Beeres M, Kromen W, Albrecht MH. et al. Dual-energy CT-based display of bone marrow edema in osteoporotic vertebral compression fractures: Impact on diagnostic accuracy of radiologists with varying levels of experience in correlation to MR imaging. Radiology 2016; 280: 510-9
- 10 Brooks RA, Di Chiro G. Beam hardening in X-ray reconstructive tomography. Phys Med Biol 1976; 21: 390-8
- 11 Buck FM, Jost B, Hodler J. Shoulder arthroplasty. Eur Radiol 2008; 18: 2937-48
- 12 Suh JS, Jeong EK, Shin KH, Cho JH, Na JB, Kim DH. et al. Minimizing artifacts caused by metallic implants at MR imaging: Experimental and clinical studies. AJR Am J Roentgenol 1998; 171: 1207-13
- 13 Mallinson PI, Coupal TM, McLaughlin PD, Nicolaou S, Munk PL, Ouellette HA. Dual-energy CT for musculoskeletal system. Radiology 2016; 281: 690-707
- 14 Ascenti G, Mazziotti S, Lamberto S, Bottari A, Caloggero S, Racchiusa S. et al. Dual-energy CT for detection of endoleaks after endovascular abdominal aneurysm repair: Usefulness of colored iodine overlay. AJR Am J Roentgenol 2011; 196: 1408-14
- 15 Kambadakone AR, Eisner BH, Catalano OA, Sahani DV. New and evolving concepts in the imaging and management of urolithiasis: Urologists’ perspective. Radiographics 2010; 30: 603-23
- 16 Pascual E, Batlle-Gualda E, Martínez A, Rosas J, Vela P. Synovial fluid analysis for diagnosis of intercritical gout. Ann Intern Med 1999; 131: 756-9
- 17 Desai MA, Peterson JJ, Garner HW, Kransdorf MJ. Clinical utility of dual-energy CT for evaluation of tophaceous gout. Radiographics 2011; 31: 1365-75 discussion 76-7
- 18 Fink C, Johnson TR, Michaely HJ, Morhard D, Becker C, Reiser M. et al. Dual-energy CT angiography of the lung in patients with suspected pulmonary embolism: Initial results. Rofo 2008; 180: 879-83
- 19 Kang MJ, Park CM, Lee CH, Goo JM, Lee HJ. Dual-energy CT: Clinical applications in various pulmonary diseases. Radiographics 2010; 30: 685-98
- 20 Chae EJ, Song JW, Seo JB, Krauss B, Jang YM, Song KS. Clinical utility of dual-energy CT in the evaluation of solitary pulmonary nodules: Initial experience. Radiology 2008; 249: 671-81
- 21 Swensen SJ, Brown LR, Colby TV, Weaver AL. Pulmonary nodules: CT evaluation of enhancement with iodinated contrast material. Radiology 1995; 194: 393-8
- 22 Altenbernd J, Wetter A, Umutlu L, Hahn S, Ringelstein A, Forsting M. et al. Dual-energy computed tomography for evaluation of pulmonary nodules with emphasis on metastatic lesions. Actaradiologica 2016; 57: 437-43
- 23 Marin D, Nelson RC, Samei E, Paulson EK, Ho LM, Boll DT. et al. Hypervascular liver tumors: Low tube voltage, high tube current multidetector CT during late hepatic arterial phase for detection—initial clinical experience. Radiology 2009; 251: 771-9
- 24 Gupta RT, Ho LM, Marin D, Boll DT, Barnhart HX, Nelson RC. Dual-energy CT for characterization of adrenal nodules: Initial experience. AJR Am J Roentgenol 2010; 194: 1479-83
- 25 Vandenbroucke F, Van Hedent S, Van Gompel G, Buls N, Craggs G, Vandemeulebroucke J. et al. Dual-energy CT after radiofrequency ablation of liver, kidney, and lung lesions: A review of features. Insights Imaging 2015; 6: 363-79
- 26 Mileto A, Allen BC, Pietryga JA, Farjat AE, Zarzour JG, Bellini D. et al. Characterization of incidental renal mass with dual-energy CT: Diagnostic accuracy of effective atomic number maps for discriminating nonenhancing cysts from enhancing masses. AJR 2017; 209: 1-10
- 27 Luo XF, Xie XQ, Cheng S, Yang Y, Yan J, Zhang H. et al. Dual-energy CT for patients suspected of having liver iron overload: Can virtual iron content imaging accurately quantify liver iron content?. Radiology 2015; 277: 95-103
- 28 Joe E, Kim SH, Lee KB, Jang JJ, Lee JY, Lee JM. et al. Feasibility and accuracy of dual-source dual-energy CT for noninvasive determination of hepatic iron accumulation. Radiology 2012; 262: 126-35
Address for correspondence
Publication History
Received: 03 June 2019
Accepted: 08 October 2019
Article published online:
22 July 2021
© 2019. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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References
- 1 Curry III TS, Dowdey JE, Murry RC. Christensen’s Physics of Diagnostic Radiology. 4th ed. Philadelphia, PA: Lea and Febiger; 1990: 61-9
- 2 Alvarez RE, Macovski A. Energy-selective reconstructions in X-ray computerized tomography. Phys Med Biol 1976; 21: 733-44
- 3 Kaza RK, Platt JF, Cohan RH, Caoili EM, Al-Hawary MM, Wasnik A. Dual-energy CT with single- and dual-source scanners: Current applications in evaluating the genitourinary tract. Radiographics 2012; 32: 353-69
- 4 Morhard D, Fink C, Graser A, Reiser MF, Becker C, Johnson TR. Cervical and cranial computed tomographic angiography with automated bone removal: Dual energy computed tomography versus standard computed tomography. Invest Radiol 2009; 44: 293-7
- 5 Sommer WH, Johnson TR, Becker CR, Arnoldi E, Kramer H, Reiser MF. et al. The value of dual-energy bone removal in maximum intensity projections of lower extremity computed tomography angiography. Invest Radiol 2009; 44: 285-92
- 6 Pache G, Krauss B, Strohm P, Saueressig U, Blanke P, Bulla S. et al. Dual-energy CT virtual noncalcium technique: Detecting posttraumatic bone marrow lesions—feasibility study. Radiology 2010; 256: 617-24
- 7 Guggenberger R, Gnannt R, Hodler J, Krauss B, Wanner GA, Csuka E. et al. Diagnostic performance of dual-energy CT for the detection of traumatic bone marrow lesions in the ankle: Comparison with MR imaging. Radiology 2012; 264: 164-73
- 8 Ai S, Qu M, Glazebrook KN, Liu Y, Rhee PC, Leng S. et al. Use of dual-energy CT and virtual non-calcium techniques to evaluate post-traumatic bone bruises in knees in the subacute setting. Skeletal Radiol 2014; 43: 1289-95
- 9 Kaup M, Wichmann JL, Scholtz JE, Beeres M, Kromen W, Albrecht MH. et al. Dual-energy CT-based display of bone marrow edema in osteoporotic vertebral compression fractures: Impact on diagnostic accuracy of radiologists with varying levels of experience in correlation to MR imaging. Radiology 2016; 280: 510-9
- 10 Brooks RA, Di Chiro G. Beam hardening in X-ray reconstructive tomography. Phys Med Biol 1976; 21: 390-8
- 11 Buck FM, Jost B, Hodler J. Shoulder arthroplasty. Eur Radiol 2008; 18: 2937-48
- 12 Suh JS, Jeong EK, Shin KH, Cho JH, Na JB, Kim DH. et al. Minimizing artifacts caused by metallic implants at MR imaging: Experimental and clinical studies. AJR Am J Roentgenol 1998; 171: 1207-13
- 13 Mallinson PI, Coupal TM, McLaughlin PD, Nicolaou S, Munk PL, Ouellette HA. Dual-energy CT for musculoskeletal system. Radiology 2016; 281: 690-707
- 14 Ascenti G, Mazziotti S, Lamberto S, Bottari A, Caloggero S, Racchiusa S. et al. Dual-energy CT for detection of endoleaks after endovascular abdominal aneurysm repair: Usefulness of colored iodine overlay. AJR Am J Roentgenol 2011; 196: 1408-14
- 15 Kambadakone AR, Eisner BH, Catalano OA, Sahani DV. New and evolving concepts in the imaging and management of urolithiasis: Urologists’ perspective. Radiographics 2010; 30: 603-23
- 16 Pascual E, Batlle-Gualda E, Martínez A, Rosas J, Vela P. Synovial fluid analysis for diagnosis of intercritical gout. Ann Intern Med 1999; 131: 756-9
- 17 Desai MA, Peterson JJ, Garner HW, Kransdorf MJ. Clinical utility of dual-energy CT for evaluation of tophaceous gout. Radiographics 2011; 31: 1365-75 discussion 76-7
- 18 Fink C, Johnson TR, Michaely HJ, Morhard D, Becker C, Reiser M. et al. Dual-energy CT angiography of the lung in patients with suspected pulmonary embolism: Initial results. Rofo 2008; 180: 879-83
- 19 Kang MJ, Park CM, Lee CH, Goo JM, Lee HJ. Dual-energy CT: Clinical applications in various pulmonary diseases. Radiographics 2010; 30: 685-98
- 20 Chae EJ, Song JW, Seo JB, Krauss B, Jang YM, Song KS. Clinical utility of dual-energy CT in the evaluation of solitary pulmonary nodules: Initial experience. Radiology 2008; 249: 671-81
- 21 Swensen SJ, Brown LR, Colby TV, Weaver AL. Pulmonary nodules: CT evaluation of enhancement with iodinated contrast material. Radiology 1995; 194: 393-8
- 22 Altenbernd J, Wetter A, Umutlu L, Hahn S, Ringelstein A, Forsting M. et al. Dual-energy computed tomography for evaluation of pulmonary nodules with emphasis on metastatic lesions. Actaradiologica 2016; 57: 437-43
- 23 Marin D, Nelson RC, Samei E, Paulson EK, Ho LM, Boll DT. et al. Hypervascular liver tumors: Low tube voltage, high tube current multidetector CT during late hepatic arterial phase for detection—initial clinical experience. Radiology 2009; 251: 771-9
- 24 Gupta RT, Ho LM, Marin D, Boll DT, Barnhart HX, Nelson RC. Dual-energy CT for characterization of adrenal nodules: Initial experience. AJR Am J Roentgenol 2010; 194: 1479-83
- 25 Vandenbroucke F, Van Hedent S, Van Gompel G, Buls N, Craggs G, Vandemeulebroucke J. et al. Dual-energy CT after radiofrequency ablation of liver, kidney, and lung lesions: A review of features. Insights Imaging 2015; 6: 363-79
- 26 Mileto A, Allen BC, Pietryga JA, Farjat AE, Zarzour JG, Bellini D. et al. Characterization of incidental renal mass with dual-energy CT: Diagnostic accuracy of effective atomic number maps for discriminating nonenhancing cysts from enhancing masses. AJR 2017; 209: 1-10
- 27 Luo XF, Xie XQ, Cheng S, Yang Y, Yan J, Zhang H. et al. Dual-energy CT for patients suspected of having liver iron overload: Can virtual iron content imaging accurately quantify liver iron content?. Radiology 2015; 277: 95-103
- 28 Joe E, Kim SH, Lee KB, Jang JJ, Lee JY, Lee JM. et al. Feasibility and accuracy of dual-source dual-energy CT for noninvasive determination of hepatic iron accumulation. Radiology 2012; 262: 126-35





















































