Skip to main content
Top
Published in: Abdominal Radiology 11/2020

01-11-2020 | Hepatocellular Carcinoma | Special Section: Diffuse Liver Disease

Dual-energy CT in diffuse liver disease: is there a role?

Authors: Khaled Y. Elbanna, Bahar Mansoori, Achille Mileto, Patrik Rogalla, Luís S. Guimarães

Published in: Abdominal Radiology | Issue 11/2020

Login to get access

Abstract

Dual-energy CT (DECT) can be defined as the use of two different energy levels to identify and quantify material composition. Since its inception, DECT has benefited from remarkable improvements in hardware and clinical applications. DECT enables accurate identification and quantification of multiple materials, including fat, iron, and iodine. As a consequence, multiple studies have investigated the potential role of DECT in the assessment of diffuse liver diseases. While this role is evolving, this article aims to review the most relevant literature on use of DECT for assessment of diffuse liver diseases. Moreover, the basic concepts on DECT techniques, types of image reconstruction, and DECT-dedicated software will be described, focusing on the areas that are most relevant for the evaluation of diffuse liver diseases. Also, we will review the evidence of added value of DECT in detection and assessment of hepatocellular carcinoma which is a known risk in patients with diffuse liver disease.
Literature
1.
go back to reference Marcellin P, Kutala BK (2018) Liver diseases: A major, neglected global public health problem requiring urgent actions and large-scale screening. Liver International 38:2–6.PubMedCrossRef Marcellin P, Kutala BK (2018) Liver diseases: A major, neglected global public health problem requiring urgent actions and large-scale screening. Liver International 38:2–6.PubMedCrossRef
2.
go back to reference Kose S, Ersan G, Tatar B, et al (2015) Evaluation of percutaneous liver biopsy complications in patients with chronic viral hepatitis. The Eurasian Journal of Medicine 47:161.PubMedPubMedCentralCrossRef Kose S, Ersan G, Tatar B, et al (2015) Evaluation of percutaneous liver biopsy complications in patients with chronic viral hepatitis. The Eurasian Journal of Medicine 47:161.PubMedPubMedCentralCrossRef
3.
go back to reference Ratziu V, Charlotte F, Heurtier A, et al. (2005) Sampling variability of liver biopsy in nonalcoholic fatty liver disease. Gastroenterology 128:1898–1906CrossRefPubMed Ratziu V, Charlotte F, Heurtier A, et al. (2005) Sampling variability of liver biopsy in nonalcoholic fatty liver disease. Gastroenterology 128:1898–1906CrossRefPubMed
4.
go back to reference Regev A, Berho M, Jeffers LJ, et al (2002) Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection. Am J Gastroenterology 97:2614–2618.CrossRef Regev A, Berho M, Jeffers LJ, et al (2002) Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection. Am J Gastroenterology 97:2614–2618.CrossRef
5.
go back to reference Yoon JH, Lee JM, Joo I, et al (2014) Hepatic fibrosis: prospective comparison of MR elastography and US shear-wave elastography for evaluation. Radiology 273:772–782.PubMedCrossRef Yoon JH, Lee JM, Joo I, et al (2014) Hepatic fibrosis: prospective comparison of MR elastography and US shear-wave elastography for evaluation. Radiology 273:772–782.PubMedCrossRef
6.
go back to reference De Cecco CN, Boll DT, Bolus DN, et al (2017) White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 4: Abdominal and Pelvic Applications. Journal of Computer Assisted Tomography 41:8–14.PubMedCrossRef De Cecco CN, Boll DT, Bolus DN, et al (2017) White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 4: Abdominal and Pelvic Applications. Journal of Computer Assisted Tomography 41:8–14.PubMedCrossRef
7.
go back to reference Rutherford RA, Pullan BR, Isherwood I (1976) Measurement of effective atomic number and electron density using an EMI scanner. Neuroradiology 11:15–21.PubMedCrossRef Rutherford RA, Pullan BR, Isherwood I (1976) Measurement of effective atomic number and electron density using an EMI scanner. Neuroradiology 11:15–21.PubMedCrossRef
8.
go back to reference Kruger RA, Riederer SJ, Mistretta CA (1977) Relative properties of tomography, K-edge imaging, and K-edge tomography. Medical Physics 4:244–249.PubMedCrossRef Kruger RA, Riederer SJ, Mistretta CA (1977) Relative properties of tomography, K-edge imaging, and K-edge tomography. Medical Physics 4:244–249.PubMedCrossRef
10.
go back to reference Patino M, Prochowski A, Agrawal MD, et al (2016) Material separation using dual-energy CT: current and emerging applications. RadioGraphics 36:1087–1105.PubMedCrossRef Patino M, Prochowski A, Agrawal MD, et al (2016) Material separation using dual-energy CT: current and emerging applications. RadioGraphics 36:1087–1105.PubMedCrossRef
11.
go back to reference Sellerer T, Noël PB, Patino M, et al (2018) Dual-energy CT: a phantom comparison of different platforms for abdominal imaging. Eur Radiol 28:2745–2755.PubMedCrossRef Sellerer T, Noël PB, Patino M, et al (2018) Dual-energy CT: a phantom comparison of different platforms for abdominal imaging. Eur Radiol 28:2745–2755.PubMedCrossRef
12.
go back to reference Primak AN, Giraldo JCR, Eusemann CD, et al (2010) Dual-source dual-energy CT with additional tin filtration: dose and image quality evaluation in phantoms and in vivo. American Journal of Roentgenology 195:1164–1174.PubMedCrossRef Primak AN, Giraldo JCR, Eusemann CD, et al (2010) Dual-source dual-energy CT with additional tin filtration: dose and image quality evaluation in phantoms and in vivo. American Journal of Roentgenology 195:1164–1174.PubMedCrossRef
14.
go back to reference Wu L-M, Xu JR, Yin Y, Qu X-H (2010) Usefulness of CT angiography in diagnosing acute gastrointestinal bleeding: a meta-analysis. World Journal of Gastroenterology: WJG 16:3957.PubMedCrossRefPubMedCentral Wu L-M, Xu JR, Yin Y, Qu X-H (2010) Usefulness of CT angiography in diagnosing acute gastrointestinal bleeding: a meta-analysis. World Journal of Gastroenterology: WJG 16:3957.PubMedCrossRefPubMedCentral
15.
go back to reference Grasruck M, Kappler S, Reinwand M, Stierstorfer K (2009) Dual energy with dual source CT and kVp switching with single source CT: a comparison of dual energy performance. International Society for Optics and Photonics, p 72583R Grasruck M, Kappler S, Reinwand M, Stierstorfer K (2009) Dual energy with dual source CT and kVp switching with single source CT: a comparison of dual energy performance. International Society for Optics and Photonics, p 72583R
16.
go back to reference Wu E-H, Kim SY, Wang ZJ, et al (2016) Appearance and frequency of gas interface artifacts involving small bowel on rapid-voltage-switching dual-energy CT iodine-density images. American Journal of Roentgenology 206:301–306.PubMedCrossRef Wu E-H, Kim SY, Wang ZJ, et al (2016) Appearance and frequency of gas interface artifacts involving small bowel on rapid-voltage-switching dual-energy CT iodine-density images. American Journal of Roentgenology 206:301–306.PubMedCrossRef
18.
go back to reference Hartman R, Kawashima A, Takahashi N, et al (2012) Applications of dual-energy CT in urologic imaging: an update. Radiologic Clinics of NA 50:191–205.CrossRef Hartman R, Kawashima A, Takahashi N, et al (2012) Applications of dual-energy CT in urologic imaging: an update. Radiologic Clinics of NA 50:191–205.CrossRef
19.
go back to reference Goceri E, Shah ZK, Layman R, et al (2016) Quantification of liver fat: a comprehensive review. Computers in Biology and Medicine 71:174–189.PubMedCrossRef Goceri E, Shah ZK, Layman R, et al (2016) Quantification of liver fat: a comprehensive review. Computers in Biology and Medicine 71:174–189.PubMedCrossRef
20.
go back to reference Loomba R, Sanyal AJ (2013) The global NAFLD epidemic. Nature Reviews Gastroenterology and Hepatology 10:686–690.PubMedCrossRef Loomba R, Sanyal AJ (2013) The global NAFLD epidemic. Nature Reviews Gastroenterology and Hepatology 10:686–690.PubMedCrossRef
22.
go back to reference Xu M-M, Brown RS (2015) Liver transplantation for the referring physician. Clinics in Liver Disease 19:135–153.PubMedCrossRef Xu M-M, Brown RS (2015) Liver transplantation for the referring physician. Clinics in Liver Disease 19:135–153.PubMedCrossRef
23.
go back to reference Brunt EM, Janney CG, Di Bisceglie AM, et al (1999) Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions. Am J Gastroenterology 94:2467–2474.CrossRef Brunt EM, Janney CG, Di Bisceglie AM, et al (1999) Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions. Am J Gastroenterology 94:2467–2474.CrossRef
24.
go back to reference van Werven JR, Marsman HA, Nederveen AJ, et al (2010) Assessment of hepatic steatosis in patients undergoing liver resection: comparison of US, CT, T1-weighted dual-echo MR imaging, and point-resolved 1H MR spectroscopy. Radiology 256:159–168.PubMedCrossRef van Werven JR, Marsman HA, Nederveen AJ, et al (2010) Assessment of hepatic steatosis in patients undergoing liver resection: comparison of US, CT, T1-weighted dual-echo MR imaging, and point-resolved 1H MR spectroscopy. Radiology 256:159–168.PubMedCrossRef
25.
go back to reference Wang B, Gao Z, Zou Q, Li L (2003) Quantitative Diagnosis of Fatty Liver With Dual-Energy CT: An experimental study in rabbits. Acta Radiol 44:92–97.PubMed Wang B, Gao Z, Zou Q, Li L (2003) Quantitative Diagnosis of Fatty Liver With Dual-Energy CT: An experimental study in rabbits. Acta Radiol 44:92–97.PubMed
26.
go back to reference Artz NS, Hines CD, Brunner ST, et al (2012) Quantification of hepatic steatosis with dual-energy computed tomography: comparison with tissue reference standards and quantitative magnetic resonance imaging in the ob/ob mouse. Invest Radiol 47:603.PubMedPubMedCentralCrossRef Artz NS, Hines CD, Brunner ST, et al (2012) Quantification of hepatic steatosis with dual-energy computed tomography: comparison with tissue reference standards and quantitative magnetic resonance imaging in the ob/ob mouse. Invest Radiol 47:603.PubMedPubMedCentralCrossRef
27.
go back to reference Kramer H, Pickhardt PJ, Kliewer MA, et al (2017) Accuracy of liver fat quantification with advanced CT, MRI, and ultrasound techniques: prospective comparison with MR spectroscopy. American Journal of Roentgenology 208:92–100.PubMedCrossRef Kramer H, Pickhardt PJ, Kliewer MA, et al (2017) Accuracy of liver fat quantification with advanced CT, MRI, and ultrasound techniques: prospective comparison with MR spectroscopy. American Journal of Roentgenology 208:92–100.PubMedCrossRef
28.
go back to reference Patel BN, Kumbla RA, Berland LL, et al (2013) Material density hepatic steatosis quantification on intravenous contrast-enhanced rapid kilovolt (peak)–switching single-source dual-energy computed tomography. Journal of Computer Assisted Tomography 37:904–910.PubMedCrossRef Patel BN, Kumbla RA, Berland LL, et al (2013) Material density hepatic steatosis quantification on intravenous contrast-enhanced rapid kilovolt (peak)–switching single-source dual-energy computed tomography. Journal of Computer Assisted Tomography 37:904–910.PubMedCrossRef
29.
go back to reference Hyodo T, Yada N, Hori M, et al (2017) Multimaterial decomposition algorithm for the quantification of liver fat content by using fast-kilovolt-peak switching dual-energy CT: clinical evaluation. Radiology 283:108–118.PubMedCrossRef Hyodo T, Yada N, Hori M, et al (2017) Multimaterial decomposition algorithm for the quantification of liver fat content by using fast-kilovolt-peak switching dual-energy CT: clinical evaluation. Radiology 283:108–118.PubMedCrossRef
30.
go back to reference Hur BY, Lee JM, Hyunsik W, et al (2014) Quantification of the fat fraction in the liver using dual-energy computed tomography and multimaterial decomposition. Journal of Computer Assisted Tomography 38:845–852.PubMedCrossRef Hur BY, Lee JM, Hyunsik W, et al (2014) Quantification of the fat fraction in the liver using dual-energy computed tomography and multimaterial decomposition. Journal of Computer Assisted Tomography 38:845–852.PubMedCrossRef
31.
go back to reference Guo Z, Blake GM, Li K, et al (2020) Liver Fat Content Measurement with Quantitative CT Validated against MRI Proton Density Fat Fraction: A Prospective Study of 400 Healthy Volunteers. Radiology 294:89–97.PubMedCrossRef Guo Z, Blake GM, Li K, et al (2020) Liver Fat Content Measurement with Quantitative CT Validated against MRI Proton Density Fat Fraction: A Prospective Study of 400 Healthy Volunteers. Radiology 294:89–97.PubMedCrossRef
32.
go back to reference Zheng X, Ren Y, Phillips WT, et al (2013) Assessment of hepatic fatty infiltration using spectral computed tomography imaging: a pilot study. Journal of Computer Assisted Tomography 37:134–141.PubMedCrossRef Zheng X, Ren Y, Phillips WT, et al (2013) Assessment of hepatic fatty infiltration using spectral computed tomography imaging: a pilot study. Journal of Computer Assisted Tomography 37:134–141.PubMedCrossRef
33.
go back to reference Pietrangelo A (2010) Hereditary hemochromatosis: pathogenesis, diagnosis, and treatment. Gastroenterology 139:393–408.PubMedCrossRef Pietrangelo A (2010) Hereditary hemochromatosis: pathogenesis, diagnosis, and treatment. Gastroenterology 139:393–408.PubMedCrossRef
34.
go back to reference Porter JB, de Witte T, Cappellini MD, Gattermann N (2016) New insights into transfusion-related iron toxicity: Implications for the oncologist. Critical Reviews in Oncology/Hematology 99:261–271.PubMedCrossRef Porter JB, de Witte T, Cappellini MD, Gattermann N (2016) New insights into transfusion-related iron toxicity: Implications for the oncologist. Critical Reviews in Oncology/Hematology 99:261–271.PubMedCrossRef
36.
go back to reference Shander A, Sazama K (2010) Clinical consequences of iron overload from chronic red blood cell transfusions, its diagnosis, and its management by chelation therapy. Transfusion 50:1144–1155.PubMedCrossRef Shander A, Sazama K (2010) Clinical consequences of iron overload from chronic red blood cell transfusions, its diagnosis, and its management by chelation therapy. Transfusion 50:1144–1155.PubMedCrossRef
37.
go back to reference Henninger B, Alustiza J, Garbowski M, Gandon Y (2020) Practical guide to quantification of hepatic iron with MRI. Eur Radiol 30:383–393.PubMedCrossRef Henninger B, Alustiza J, Garbowski M, Gandon Y (2020) Practical guide to quantification of hepatic iron with MRI. Eur Radiol 30:383–393.PubMedCrossRef
38.
go back to reference Werner S, Krauss B, Haberland U, et al (2019) Dual-energy CT for liver iron quantification in patients with haematological disorders. Eur Radiol 29:2868–2877.PubMedCrossRef Werner S, Krauss B, Haberland U, et al (2019) Dual-energy CT for liver iron quantification in patients with haematological disorders. Eur Radiol 29:2868–2877.PubMedCrossRef
39.
go back to reference Fischer MA, Gnannt R, Raptis D, et al (2011) Quantification of liver fat in the presence of iron and iodine: an ex vivo dual-energy CT study. Invest Radiol 46:351–358.PubMedCrossRef Fischer MA, Gnannt R, Raptis D, et al (2011) Quantification of liver fat in the presence of iron and iodine: an ex vivo dual-energy CT study. Invest Radiol 46:351–358.PubMedCrossRef
40.
go back to reference Joe E, Kim SH, Lee KB, et al (2012) Feasibility and accuracy of dual-source dual-energy CT for noninvasive determination of hepatic iron accumulation. Radiology 262:126–135.PubMedCrossRef Joe E, Kim SH, Lee KB, et al (2012) Feasibility and accuracy of dual-source dual-energy CT for noninvasive determination of hepatic iron accumulation. Radiology 262:126–135.PubMedCrossRef
41.
go back to reference Ma Q, Hu J, Yang W, Hou Y (2020) Dual-layer detector spectral CT versus magnetic resonance imaging for the assessment of iron overload in myelodysplastic syndromes and aplastic anemia. Jpn J Radiol 1–8. Ma Q, Hu J, Yang W, Hou Y (2020) Dual-layer detector spectral CT versus magnetic resonance imaging for the assessment of iron overload in myelodysplastic syndromes and aplastic anemia. Jpn J Radiol 1–8.
43.
go back to reference Luo XF, Yang Y, Yan J, et al (2015) Virtual iron concentration imaging based on dual-energy CT for noninvasive quantification and grading of liver iron content: An iron overload rabbit model study. Eur Radiol 25:2657–2664.PubMedCrossRef Luo XF, Yang Y, Yan J, et al (2015) Virtual iron concentration imaging based on dual-energy CT for noninvasive quantification and grading of liver iron content: An iron overload rabbit model study. Eur Radiol 25:2657–2664.PubMedCrossRef
44.
go back to reference Abadia AF, Grant KL, Carey KE, et al (2017) Spatial Distribution of Iron Within the Normal Human Liver Using Dual-Source Dual-Energy CT Imaging. Invest Radiol 52:693–700.PubMedCrossRef Abadia AF, Grant KL, Carey KE, et al (2017) Spatial Distribution of Iron Within the Normal Human Liver Using Dual-Source Dual-Energy CT Imaging. Invest Radiol 52:693–700.PubMedCrossRef
45.
go back to reference Scaglione S, Kliethermes S, Cao G, et al (2015) The epidemiology of cirrhosis in the United States. Journal of Clinical Gastroenterology 49:690–696.PubMedCrossRef Scaglione S, Kliethermes S, Cao G, et al (2015) The epidemiology of cirrhosis in the United States. Journal of Clinical Gastroenterology 49:690–696.PubMedCrossRef
46.
go back to reference Asrani SK, Devarbhavi H, Eaton J, Kamath PS (2019) Burden of liver diseases in the world. Journal of Hepatology 70:151–171.PubMedCrossRef Asrani SK, Devarbhavi H, Eaton J, Kamath PS (2019) Burden of liver diseases in the world. Journal of Hepatology 70:151–171.PubMedCrossRef
47.
go back to reference Younossi ZM, Stepanova M, Younossi Y, et al (2020) Epidemiology of chronic liver diseases in the USA in the past three decades. Gut 69:564–568.PubMedCrossRef Younossi ZM, Stepanova M, Younossi Y, et al (2020) Epidemiology of chronic liver diseases in the USA in the past three decades. Gut 69:564–568.PubMedCrossRef
48.
49.
go back to reference Horowitz JM, Venkatesh SK, Ehman RL, et al (2017) Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel. Abdom Radiol 42:2037–2053.CrossRef Horowitz JM, Venkatesh SK, Ehman RL, et al (2017) Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel. Abdom Radiol 42:2037–2053.CrossRef
50.
go back to reference Guo SL, Su LN, Zhai YN, et al (2017) The clinical value of hepatic extracellular volume fraction using routine multiphasic contrast-enhanced liver CT for staging liver fibrosis. Clinical Radiology 72:242–246.PubMedCrossRef Guo SL, Su LN, Zhai YN, et al (2017) The clinical value of hepatic extracellular volume fraction using routine multiphasic contrast-enhanced liver CT for staging liver fibrosis. Clinical Radiology 72:242–246.PubMedCrossRef
51.
go back to reference Sofue K, Tsurusaki M, Mileto A, et al (2018) Dual-energy computed tomography for non-invasive staging of liver fibrosis: Accuracy of iodine density measurements from contrast-enhanced data. Hepatology Research 48:1008–1019.PubMedCrossRef Sofue K, Tsurusaki M, Mileto A, et al (2018) Dual-energy computed tomography for non-invasive staging of liver fibrosis: Accuracy of iodine density measurements from contrast-enhanced data. Hepatology Research 48:1008–1019.PubMedCrossRef
52.
go back to reference Zissen MH, Wang ZJ, Yee J, et al (2013) Contrast-enhanced CT quantification of the hepatic fractional extracellular space: correlation with diffuse liver disease severity. American Journal of Roentgenology 201:1204–1210.PubMedCrossRef Zissen MH, Wang ZJ, Yee J, et al (2013) Contrast-enhanced CT quantification of the hepatic fractional extracellular space: correlation with diffuse liver disease severity. American Journal of Roentgenology 201:1204–1210.PubMedCrossRef
54.
go back to reference Bandula S, Punwani S, Rosenberg WM, et al (2015) Equilibrium contrast-enhanced CT imaging to evaluate hepatic fibrosis: initial validation by comparison with histopathologic sampling. Radiology 275:136–143.PubMedCrossRef Bandula S, Punwani S, Rosenberg WM, et al (2015) Equilibrium contrast-enhanced CT imaging to evaluate hepatic fibrosis: initial validation by comparison with histopathologic sampling. Radiology 275:136–143.PubMedCrossRef
55.
go back to reference Yoon JH, Lee JM, Klotz E, et al (2015) Estimation of hepatic extracellular volume fraction using multiphasic liver computed tomography for hepatic fibrosis grading. Invest Radiol 50:290–296.PubMedCrossRef Yoon JH, Lee JM, Klotz E, et al (2015) Estimation of hepatic extracellular volume fraction using multiphasic liver computed tomography for hepatic fibrosis grading. Invest Radiol 50:290–296.PubMedCrossRef
56.
57.
go back to reference Kaza RK, Caoili EM, Cohan RH, Platt JF (2011) Distinguishing enhancing from nonenhancing renal lesions with fast kilovoltage-switching dual-energy CT. American Journal of Roentgenology 197:1375–1381.PubMedCrossRef Kaza RK, Caoili EM, Cohan RH, Platt JF (2011) Distinguishing enhancing from nonenhancing renal lesions with fast kilovoltage-switching dual-energy CT. American Journal of Roentgenology 197:1375–1381.PubMedCrossRef
58.
go back to reference Bottari A, Silipigni S, Carerj ML, et al (2020) Dual-source dual-energy CT in the evaluation of hepatic fractional extracellular space in cirrhosis. La radiologia medica 125:7–14.PubMedCrossRef Bottari A, Silipigni S, Carerj ML, et al (2020) Dual-source dual-energy CT in the evaluation of hepatic fractional extracellular space in cirrhosis. La radiologia medica 125:7–14.PubMedCrossRef
59.
go back to reference Dong J, He F, Wang L, et al (2019) Iodine density changes in hepatic and splenic parenchyma in liver cirrhosis with dual energy CT (DECT): a preliminary study. Academic Radiology 26:872–877.PubMedCrossRef Dong J, He F, Wang L, et al (2019) Iodine density changes in hepatic and splenic parenchyma in liver cirrhosis with dual energy CT (DECT): a preliminary study. Academic Radiology 26:872–877.PubMedCrossRef
60.
go back to reference Shang S, Cao Q, Han X, et al (2020) Assessing Liver Hemodynamics in Children With Cholestatic Cirrhosis by Use of Dual-Energy Spectral CT. American Journal of Roentgenology 214:665–670.PubMedCrossRef Shang S, Cao Q, Han X, et al (2020) Assessing Liver Hemodynamics in Children With Cholestatic Cirrhosis by Use of Dual-Energy Spectral CT. American Journal of Roentgenology 214:665–670.PubMedCrossRef
61.
go back to reference Bak S, Kim JE, Bae K, et al Quantification of liver extracellular volume using dual-energy CT: utility for prediction of liver-related events in cirrhosis. Eur Radiol 1–10. Bak S, Kim JE, Bae K, et al Quantification of liver extracellular volume using dual-energy CT: utility for prediction of liver-related events in cirrhosis. Eur Radiol 1–10.
62.
go back to reference Chernyak V, Fowler KJ, Kamaya A, et al (2018) Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients. Radiology 289:816–830.PubMedCrossRef Chernyak V, Fowler KJ, Kamaya A, et al (2018) Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients. Radiology 289:816–830.PubMedCrossRef
63.
go back to reference Purysko AS, Primak AN, Baker ME, et al (2014) Comparison of radiation dose and image quality from single-energy and dual-energy CT examinations in the same patients screened for hepatocellular carcinoma. Clinical Radiology 69:e538–e544.PubMedCrossRef Purysko AS, Primak AN, Baker ME, et al (2014) Comparison of radiation dose and image quality from single-energy and dual-energy CT examinations in the same patients screened for hepatocellular carcinoma. Clinical Radiology 69:e538–e544.PubMedCrossRef
64.
go back to reference Hanson GJ, Michalak GJ, Childs R, et al (2018) Low kV versus dual-energy virtual monoenergetic CT imaging for proven liver lesions: what are the advantages and trade-offs in conspicuity and image quality? A pilot study. Abdom Radiol 43:1404–1412.CrossRef Hanson GJ, Michalak GJ, Childs R, et al (2018) Low kV versus dual-energy virtual monoenergetic CT imaging for proven liver lesions: what are the advantages and trade-offs in conspicuity and image quality? A pilot study. Abdom Radiol 43:1404–1412.CrossRef
65.
go back to reference Husarik DB, Gordic S, Desbiolles L, et al (2015) Advanced virtual monoenergetic computed tomography of hyperattenuating and hypoattenuating liver lesions: ex vivo and patient experience in various body sizes. Invest Radiol 50:695–702.PubMedCrossRef Husarik DB, Gordic S, Desbiolles L, et al (2015) Advanced virtual monoenergetic computed tomography of hyperattenuating and hypoattenuating liver lesions: ex vivo and patient experience in various body sizes. Invest Radiol 50:695–702.PubMedCrossRef
66.
go back to reference Shuman WP, Green DE, Busey JM, et al (2014) Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase. American Journal of Roentgenology 203:601–606.PubMedCrossRef Shuman WP, Green DE, Busey JM, et al (2014) Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase. American Journal of Roentgenology 203:601–606.PubMedCrossRef
67.
go back to reference De Cecco CN, Caruso D, Schoepf UJ, et al (2018) A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions. Eur Radiol 28:3393–3404.PubMedCrossRef De Cecco CN, Caruso D, Schoepf UJ, et al (2018) A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions. Eur Radiol 28:3393–3404.PubMedCrossRef
68.
go back to reference Yoon JH, Chang W, Lee ES, et al (2020) Double Low-Dose Dual-Energy Liver CT in Patients at High-Risk of HCC: A Prospective, Randomized, Single-Center Study. Invest Radiol 55:340–348.PubMedCrossRef Yoon JH, Chang W, Lee ES, et al (2020) Double Low-Dose Dual-Energy Liver CT in Patients at High-Risk of HCC: A Prospective, Randomized, Single-Center Study. Invest Radiol 55:340–348.PubMedCrossRef
69.
go back to reference Mileto A, Nelson RC, Samei E, et al (2014) Dual-energy MDCT in hypervascular liver tumors: effect of body size on selection of the optimal monochromatic energy level. American Journal of Roentgenology 203:1257–1264.PubMedCrossRef Mileto A, Nelson RC, Samei E, et al (2014) Dual-energy MDCT in hypervascular liver tumors: effect of body size on selection of the optimal monochromatic energy level. American Journal of Roentgenology 203:1257–1264.PubMedCrossRef
70.
go back to reference Matsuda M, Tsuda T, Kido T, et al (2018) Dual-energy computed tomography in patients with small hepatocellular carcinoma: utility of noise-reduced monoenergetic images for the evaluation of washout and image quality in the equilibrium phase. Journal of Computer Assisted Tomography 42:937–943.PubMedCrossRef Matsuda M, Tsuda T, Kido T, et al (2018) Dual-energy computed tomography in patients with small hepatocellular carcinoma: utility of noise-reduced monoenergetic images for the evaluation of washout and image quality in the equilibrium phase. Journal of Computer Assisted Tomography 42:937–943.PubMedCrossRef
71.
go back to reference Caruso D, De Cecco CN, Schoepf UJ, et al (2017) Can dual-energy computed tomography improve visualization of hypoenhancing liver lesions in portal venous phase? Assessment of advanced image-based virtual monoenergetic images. Journal of Clinical Imaging 41:118–124.PubMedCrossRef Caruso D, De Cecco CN, Schoepf UJ, et al (2017) Can dual-energy computed tomography improve visualization of hypoenhancing liver lesions in portal venous phase? Assessment of advanced image-based virtual monoenergetic images. Journal of Clinical Imaging 41:118–124.PubMedCrossRef
72.
go back to reference Lenga L, Lange M, Arendt CT, et al (2020) Can Dual-energy CT-based Virtual Monoenergetic Imaging Improve the Assessment of Hypodense Liver Metastases in Patients With Hepatic Steatosis? Academic Radiology Lenga L, Lange M, Arendt CT, et al (2020) Can Dual-energy CT-based Virtual Monoenergetic Imaging Improve the Assessment of Hypodense Liver Metastases in Patients With Hepatic Steatosis? Academic Radiology
73.
go back to reference Pfeiffer D, Parakh A, Patino M, et al (2018) Iodine material density images in dual-energy CT: quantification of contrast uptake and washout in HCC. Abdom Radiol 43:3317–3323.CrossRef Pfeiffer D, Parakh A, Patino M, et al (2018) Iodine material density images in dual-energy CT: quantification of contrast uptake and washout in HCC. Abdom Radiol 43:3317–3323.CrossRef
74.
go back to reference Lee J-A, Jeong WK, Kim Y, et al (2013) Dual-energy CT to detect recurrent HCC after TACE: initial experience of color-coded iodine CT imaging. European Journal of Radiology 82:569–576.PubMedCrossRef Lee J-A, Jeong WK, Kim Y, et al (2013) Dual-energy CT to detect recurrent HCC after TACE: initial experience of color-coded iodine CT imaging. European Journal of Radiology 82:569–576.PubMedCrossRef
75.
go back to reference Lee SH, Lee JM, Kim KW, et al (2011) Dual-energy computed tomography to assess tumor response to hepatic radiofrequency ablation: potential diagnostic value of virtual noncontrast images and iodine maps. Invest Radiol 46:77–84.PubMedCrossRef Lee SH, Lee JM, Kim KW, et al (2011) Dual-energy computed tomography to assess tumor response to hepatic radiofrequency ablation: potential diagnostic value of virtual noncontrast images and iodine maps. Invest Radiol 46:77–84.PubMedCrossRef
76.
go back to reference Altenbernd J, Heusner TA, Ringelstein A, et al (2011) Dual-energy-CT of hypervascular liver lesions in patients with HCC: investigation of image quality and sensitivity. Eur Radiol 21:738–743.PubMedCrossRef Altenbernd J, Heusner TA, Ringelstein A, et al (2011) Dual-energy-CT of hypervascular liver lesions in patients with HCC: investigation of image quality and sensitivity. Eur Radiol 21:738–743.PubMedCrossRef
77.
go back to reference Dai X, Schlemmer H-P, Schmidt B, et al (2013) Quantitative therapy response assessment by volumetric iodine-uptake measurement: initial experience in patients with advanced hepatocellular carcinoma treated with sorafenib. European Journal of Radiology 82:327–334.PubMedCrossRef Dai X, Schlemmer H-P, Schmidt B, et al (2013) Quantitative therapy response assessment by volumetric iodine-uptake measurement: initial experience in patients with advanced hepatocellular carcinoma treated with sorafenib. European Journal of Radiology 82:327–334.PubMedCrossRef
78.
go back to reference Ascenti G, Sofia C, Mazziotti S, et al (2016) Dual-energy CT with iodine quantification in distinguishing between bland and neoplastic portal vein thrombosis in patients with hepatocellular carcinoma. Clinical Radiology 71:938-e1.CrossRef Ascenti G, Sofia C, Mazziotti S, et al (2016) Dual-energy CT with iodine quantification in distinguishing between bland and neoplastic portal vein thrombosis in patients with hepatocellular carcinoma. Clinical Radiology 71:938-e1.CrossRef
79.
go back to reference Qian LJ, Zhu J, Zhuang ZG, et al (2012) Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study. Eur Radiol 22:2178–2185.PubMedCrossRef Qian LJ, Zhu J, Zhuang ZG, et al (2012) Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study. Eur Radiol 22:2178–2185.PubMedCrossRef
80.
go back to reference Guimaraes LS, Fletcher JG, Harmsen WS, et al (2010) Appropriate patient selection at abdominal dual-energy CT using 80 kV: relationship between patient size, image noise, and image quality. Radiology 257:732–742.PubMedCrossRef Guimaraes LS, Fletcher JG, Harmsen WS, et al (2010) Appropriate patient selection at abdominal dual-energy CT using 80 kV: relationship between patient size, image noise, and image quality. Radiology 257:732–742.PubMedCrossRef
Metadata
Title
Dual-energy CT in diffuse liver disease: is there a role?
Authors
Khaled Y. Elbanna
Bahar Mansoori
Achille Mileto
Patrik Rogalla
Luís S. Guimarães
Publication date
01-11-2020
Publisher
Springer US
Published in
Abdominal Radiology / Issue 11/2020
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-020-02702-4

Other articles of this Issue 11/2020

Abdominal Radiology 11/2020 Go to the issue

Special Section: chronic liver disease

MR imaging assessment and quantification of liver iron

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine