Application of Dual-Energy CT Scanning Technology in The Liver_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

 WANGQi-yan ^1,2 , ZHENGXing-ju ¹ , QUYa-li ¹ , HUANGZi-xing ¹ ,  SONGBin ¹

1. Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China;
2. Department of Radiology, Sichuan Provincial Hospital for Women and Children, Chengdu 610045, Sichuan Province, China;

Corresponding author：

SONGBin, Email: cjr.songbin@vip.163.com

Keywords：

Dual-energy CT scanning technology; Focal liver lesions; Diffuse liver disease

DOI：

10.7507/1007-9424.20160229

Video：

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Objective To summarize the application of dual-energy CT scanning technology in the liver. Methods To search the relevant literatures at home and abroad, then the application of dual-energy CT scanning technology in focal liver lesions, diffuse liver lesions were analyzed and summarized. Results Dual-energy CT scanning technology can improve detection rate of the focal liver lesions, liver cancer recurrence lesions after local treatment and help to differentiate focal liver lesions, to stage the malignant lesions, and it also can be more accurate quantification of liver iron, fat content, indirect measurement of hepatic blood flow dynamics change situation. Conclusion Dual-energy CT scanning technology can improve the diagnostic value of CT scanning technology in liver disease.

Citation： WANGQi-yan, ZHENGXing-ju, QUYa-li, HUANGZi-xing, SONGBin. Application of Dual-Energy CT Scanning Technology in The Liver. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2016, 23(7): 876-879. doi: 10.7507/1007-9424.20160229 Copy

1.	袁元, 黄子星, 李真林, 等. 双源CT 双能量碘图对急性坏死性胰腺炎影像的诊断价值. 四川大学学报: 医学版, 2012, 43(4): 597-600.
2.	胡奕,郭启勇. 双源CT 双能量扫描技术在腹部的应用.中国临床医学影像杂志, 2011, 22(2): 108-111.
3.	季冰,刘丽娟,王霞, 等. CT 双能量去骨和数字减影脑血管成像对比分析. 医疗卫生装备, 2009, 30(3): 83-85.
4.	Fletcher JG, Takahashi N, Hartman R, et al. Dual-energy and dual-source CT: is there a role in the abdomen and pelvis. Radiol Clin North AM, 2009, 47(1): 41-47.
5.	Chandra N, Langan DA. Gemstone detector: dual energy imaging via fast kvp switching// Johnson TF, C TF, Schōnberg SO, et al. Dual energy CT in clinical practice. Berlin: Springer, 2011: 35-41.
6.	Hidas G, Eliahou R, Duvdevani M, et al. Determination of renal stone composition with dual-energy CT: in vivo analysis and comparison with X-ray diffraction. Radiology, 2010, 257(2): 394-401.
7.	Anzidei M, Di Martino M, Sacconi B, et al. Evaluation of image quality, radiation dose and diagnostic performance of dual-energy CT datasets in patients with hepatocellular carcinoma. Clin Radiol, 2015, 70(9): 966-973.
8.	Robinson E, Babb J, Chandarana H, et al. Dual source dual energy MDCT: comparison of 80 kVp and weighted average 120 kVp data for conspicuity of hypo-vascular liver metastases. Invest Radiol, 2010, 45(7): 413-418.
9.	Altenbemd J, Henusner TA, Ringelstein A, et al. Dual-energy-CT of hypervascular liver lesions in patients with HCC: investigation of image quality and sensitivity. Eur Radiol, 2011, 21(4): 738-743.
10.	Lv P, Lin XZ, Chen K, et al. Spectral CT in patients with small HCC: investigation of image quality and diagnostic accuracy. Eur Radiol, 2012, 22(10): 2117-2124.
11.	Hur S, Lee JM, Kim SJ, et al. 80-kVp CT using Iterative Reconstruc-tion in Image Space algorithm for the detection of hypervascular hepatocellular carcinoma: phantom and initial clinical experience. Korean J Radiol, 2012, 13(2): 152-164.
12.	Kim KS, Lee JM, Kim SH, et al. Image fusion in dual energy computed tomography for detection of hypervascular liver hepatocellular carcinoma: phantom and preliminary studies. Invest Radiol, 2010, 45(3): 149-157.
13.	Zhang LJ, Peng J, Wu SY, et al. Liver virtual non-enhanced CT with dual-source, dual-energy CT: a preliminary study. Eur Radiol, 2010, 20(9): 2257-2264.
14.	De Cecco CN, Buffa V, Fedeli S, et al. Dual energy CT (DECT) of the liver: conventional versus virtual unenhanced images. Eur Radiol, 2010, 20(12): 2870-2875.
15.	Tian SF, Liu AL, Liu JH, et al. Application of computed tomography virtual noncontrast spectral imaging inevalutation of hepatic metas-tases: a preliminary study. Chin Med J (Enql), 2015, 128(5): 610-614.
16.	Wang Q, Shi G, QI X, et al. Quantitative analysis of the dual-energy CT virtual spectral curve for focal liver lesions characterization. Eur J Radiol, 2014, 83(10): 1759-1764.
17.	Yu Y, Guo L, Hu C, et al. Spectral CT imaging in the differential diagnosis of necrotic hepatocellular carcinoma and hepatic abscess. Clin Radiol, 2014, 69(12): e517-e524.
18.	Yu Y, He N, Sun K, et al. Differentiating hepatocellular carcinoma from angiomyolipoma of the liver with CT spectral imaging: a preli-minary study. Clin Radiol, 2013, 68(9): e491-e497.
19.	Yu Y, Lin X, Chen K, et al. Hepatocellular carcinoma and focal nodular hyperplasia of the liver: differentiation with CT spectral imaging. Eur Radiol, 2013, 23(6): 1660-1668.
20.	Lv P, Lin XZ, Li J, et al. Differentiation of small hepatic hemangioma from small hepatocellular carcinoma:recently introduced spectral CT method. Radiology, 2011, 259(3): 720-729.
21.	Qian LJ, Zhu J, Zhuang ZG, et al. Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study. Eur Radiol, 2012, 22(10): 2178-2185.
22.	Raptopoulos V, Karellas A, Bernstein J, et al. Value of dual-energy CT in differentiating focal fatty infiltration of the liver from low-density masses. AJR Am J Roentgenol, 1991, 157(4): 721-725.
23.	Lee SH, Lee JM, Kim KW, et al. Dual-energy computed tomography to assess tumor response to hepatic radiofrequency ablation: poten-tial diagnostic value of virtual noncontrast images and iodine maps. Invest Radiol, 2011, 46(2): 77-84.
24.	邢古生, 王爽, 李忱瑞, 等. 宝石能谱CT成像碘含量测定法在肝细胞癌患者经动脉化疗栓塞术后随访中的应用. 中华肿瘤杂志, 2015, 37(03): 208-212.
25.	Lee JA, Jeonq WK, Kim Y, et al. Dual-energy CT to detect recurrent HCC after TACE: initial experience of colorcoded iodine CT imaging. Eur J Radiol, 2013, 82 (4): 569-576.
26.	Dai X, Schlemmer HP, Schmidt B, et al. Quantitative therapy response assessment by volumetric iodine-uptake measurement: initial expe-rience in patients with advanced hepatocellular carcinoma treated with sorafenib. Eur J Radiol, 2013, 82(2): 327-334.
27.	Li JH, Tsai CY, Huang HM. Assessment of hepatic fatty infiltration using dual-energy computed tomography: a phantom study. Physiol Meas, 2014, 35(4): 597-606.
28.	Zheng X, Ren Y, Phillips WT, et al. Assessment of hepatic fatty imfiltration using spectral computed tomography imaging: a pilot study. J Comput Assist Tomoqr, 2013, 37(2): 134-141.
29.	Wang B, Gao Z, Zou Q, et al. Quantitative diagnosis of fatty liver with dual-energy CT. An experimental study in rabbits. Acta Radiol, 2003, 44(1): 92-97.
30.	Fischer MA, Gnannt R, Raptis D, et al. Quantification of liver fat in the presence of iron and iodine: an ex-vivo dual-energy CT study. Invest Radiol, 2011, 46(6): 351-358.
31.	Sun T, Lin X, Chen K. Evaluation of hepatic steatosis using dual-energy CT with MR comparison. Front Biosci (Landmark Ed), 2014, 19: 1377-1385.
32.	Fischer MA, Reiner CS, Rapits D, et al. Quantification of liver iron content with CT-added value of dual-energy. Eur Radiol, 2011, 21(8): 1727-1732.
33.	Luo XF, Yang Y, Yan J, et al. 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, 2015, 25(9): 2657-2664.
34.	Luo XF, Xie XQ, Cheng S, et al. Dual-Energy CT for patients suspe-cted of having liver iron overload: can virtual iron content imaging accurately quantify liver iron content? Radiology, 2015, 277 (1): 95-103.
35.	Chapman RW, Williams G, Bydder G, et al. Computed tomography for determining liver iron content in primary haemochromatosis. Br Med J, 1980, 280(6212): 440-442.
36.	Lamb P, Sahani DV, Fuentes-Orrego JM, et al. Stratification of patients with liver fibrosis using dual-energy CT. IEEE Trans Med Imaging, 2015, 34(3): 807-815.
37.	丁贺宇, 王成林, 黎永滨, 等. 肝硬化与正常肝脏双重血流量定量对比研究. 中国CT和MRI杂志, 2013, 11(6): 52-55.
38.	Lv P, Lin X, Gao J, et al. Spectral CT: preliminary studies in the liver cirrhosis. Korean J Radiol, 2012, 13(4): 434-442.
39.	Zhao LQ, He W, Yan B, et al. The evaluation of haemodynamics in cirrhotic patients with spectral CT. Br J Radiol, 2013, 86(1028): 20130228.
40.	张军, 邓克学. 能谱CT预测肝硬化门静脉高压患者并发食管静脉曲张破裂出血风险. 中国医学影像技术, 2012, 28(12): 2201-2205.

1. 袁元, 黄子星, 李真林, 等. 双源CT 双能量碘图对急性坏死性胰腺炎影像的诊断价值. 四川大学学报: 医学版, 2012, 43(4): 597-600.
2. 胡奕,郭启勇. 双源CT 双能量扫描技术在腹部的应用.中国临床医学影像杂志, 2011, 22(2): 108-111.
3. 季冰,刘丽娟,王霞, 等. CT 双能量去骨和数字减影脑血管成像对比分析. 医疗卫生装备, 2009, 30(3): 83-85.
4. Fletcher JG, Takahashi N, Hartman R, et al. Dual-energy and dual-source CT: is there a role in the abdomen and pelvis. Radiol Clin North AM, 2009, 47(1): 41-47.
5. Chandra N, Langan DA. Gemstone detector: dual energy imaging via fast kvp switching// Johnson TF, C TF, Schōnberg SO, et al. Dual energy CT in clinical practice. Berlin: Springer, 2011: 35-41.
6. Hidas G, Eliahou R, Duvdevani M, et al. Determination of renal stone composition with dual-energy CT: in vivo analysis and comparison with X-ray diffraction. Radiology, 2010, 257(2): 394-401.
7. Anzidei M, Di Martino M, Sacconi B, et al. Evaluation of image quality, radiation dose and diagnostic performance of dual-energy CT datasets in patients with hepatocellular carcinoma. Clin Radiol, 2015, 70(9): 966-973.
8. Robinson E, Babb J, Chandarana H, et al. Dual source dual energy MDCT: comparison of 80 kVp and weighted average 120 kVp data for conspicuity of hypo-vascular liver metastases. Invest Radiol, 2010, 45(7): 413-418.
9. Altenbemd J, Henusner TA, Ringelstein A, et al. Dual-energy-CT of hypervascular liver lesions in patients with HCC: investigation of image quality and sensitivity. Eur Radiol, 2011, 21(4): 738-743.
10. Lv P, Lin XZ, Chen K, et al. Spectral CT in patients with small HCC: investigation of image quality and diagnostic accuracy. Eur Radiol, 2012, 22(10): 2117-2124.
11. Hur S, Lee JM, Kim SJ, et al. 80-kVp CT using Iterative Reconstruc-tion in Image Space algorithm for the detection of hypervascular hepatocellular carcinoma: phantom and initial clinical experience. Korean J Radiol, 2012, 13(2): 152-164.
12. Kim KS, Lee JM, Kim SH, et al. Image fusion in dual energy computed tomography for detection of hypervascular liver hepatocellular carcinoma: phantom and preliminary studies. Invest Radiol, 2010, 45(3): 149-157.
13. Zhang LJ, Peng J, Wu SY, et al. Liver virtual non-enhanced CT with dual-source, dual-energy CT: a preliminary study. Eur Radiol, 2010, 20(9): 2257-2264.
14. De Cecco CN, Buffa V, Fedeli S, et al. Dual energy CT (DECT) of the liver: conventional versus virtual unenhanced images. Eur Radiol, 2010, 20(12): 2870-2875.
15. Tian SF, Liu AL, Liu JH, et al. Application of computed tomography virtual noncontrast spectral imaging inevalutation of hepatic metas-tases: a preliminary study. Chin Med J (Enql), 2015, 128(5): 610-614.
16. Wang Q, Shi G, QI X, et al. Quantitative analysis of the dual-energy CT virtual spectral curve for focal liver lesions characterization. Eur J Radiol, 2014, 83(10): 1759-1764.
17. Yu Y, Guo L, Hu C, et al. Spectral CT imaging in the differential diagnosis of necrotic hepatocellular carcinoma and hepatic abscess. Clin Radiol, 2014, 69(12): e517-e524.
18. Yu Y, He N, Sun K, et al. Differentiating hepatocellular carcinoma from angiomyolipoma of the liver with CT spectral imaging: a preli-minary study. Clin Radiol, 2013, 68(9): e491-e497.
19. Yu Y, Lin X, Chen K, et al. Hepatocellular carcinoma and focal nodular hyperplasia of the liver: differentiation with CT spectral imaging. Eur Radiol, 2013, 23(6): 1660-1668.
20. Lv P, Lin XZ, Li J, et al. Differentiation of small hepatic hemangioma from small hepatocellular carcinoma:recently introduced spectral CT method. Radiology, 2011, 259(3): 720-729.
21. Qian LJ, Zhu J, Zhuang ZG, et al. Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study. Eur Radiol, 2012, 22(10): 2178-2185.
22. Raptopoulos V, Karellas A, Bernstein J, et al. Value of dual-energy CT in differentiating focal fatty infiltration of the liver from low-density masses. AJR Am J Roentgenol, 1991, 157(4): 721-725.
23. Lee SH, Lee JM, Kim KW, et al. Dual-energy computed tomography to assess tumor response to hepatic radiofrequency ablation: poten-tial diagnostic value of virtual noncontrast images and iodine maps. Invest Radiol, 2011, 46(2): 77-84.
24. 邢古生, 王爽, 李忱瑞, 等. 宝石能谱CT成像碘含量测定法在肝细胞癌患者经动脉化疗栓塞术后随访中的应用. 中华肿瘤杂志, 2015, 37(03): 208-212.
25. Lee JA, Jeonq WK, Kim Y, et al. Dual-energy CT to detect recurrent HCC after TACE: initial experience of colorcoded iodine CT imaging. Eur J Radiol, 2013, 82 (4): 569-576.
26. Dai X, Schlemmer HP, Schmidt B, et al. Quantitative therapy response assessment by volumetric iodine-uptake measurement: initial expe-rience in patients with advanced hepatocellular carcinoma treated with sorafenib. Eur J Radiol, 2013, 82(2): 327-334.
27. Li JH, Tsai CY, Huang HM. Assessment of hepatic fatty infiltration using dual-energy computed tomography: a phantom study. Physiol Meas, 2014, 35(4): 597-606.
28. Zheng X, Ren Y, Phillips WT, et al. Assessment of hepatic fatty imfiltration using spectral computed tomography imaging: a pilot study. J Comput Assist Tomoqr, 2013, 37(2): 134-141.
29. Wang B, Gao Z, Zou Q, et al. Quantitative diagnosis of fatty liver with dual-energy CT. An experimental study in rabbits. Acta Radiol, 2003, 44(1): 92-97.
30. Fischer MA, Gnannt R, Raptis D, et al. Quantification of liver fat in the presence of iron and iodine: an ex-vivo dual-energy CT study. Invest Radiol, 2011, 46(6): 351-358.
31. Sun T, Lin X, Chen K. Evaluation of hepatic steatosis using dual-energy CT with MR comparison. Front Biosci (Landmark Ed), 2014, 19: 1377-1385.
32. Fischer MA, Reiner CS, Rapits D, et al. Quantification of liver iron content with CT-added value of dual-energy. Eur Radiol, 2011, 21(8): 1727-1732.
33. Luo XF, Yang Y, Yan J, et al. 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, 2015, 25(9): 2657-2664.
34. Luo XF, Xie XQ, Cheng S, et al. Dual-Energy CT for patients suspe-cted of having liver iron overload: can virtual iron content imaging accurately quantify liver iron content? Radiology, 2015, 277 (1): 95-103.
35. Chapman RW, Williams G, Bydder G, et al. Computed tomography for determining liver iron content in primary haemochromatosis. Br Med J, 1980, 280(6212): 440-442.
36. Lamb P, Sahani DV, Fuentes-Orrego JM, et al. Stratification of patients with liver fibrosis using dual-energy CT. IEEE Trans Med Imaging, 2015, 34(3): 807-815.
37. 丁贺宇, 王成林, 黎永滨, 等. 肝硬化与正常肝脏双重血流量定量对比研究. 中国CT和MRI杂志, 2013, 11(6): 52-55.
38. Lv P, Lin X, Gao J, et al. Spectral CT: preliminary studies in the liver cirrhosis. Korean J Radiol, 2012, 13(4): 434-442.
39. Zhao LQ, He W, Yan B, et al. The evaluation of haemodynamics in cirrhotic patients with spectral CT. Br J Radiol, 2013, 86(1028): 20130228.
40. 张军, 邓克学. 能谱CT预测肝硬化门静脉高压患者并发食管静脉曲张破裂出血风险. 中国医学影像技术, 2012, 28(12): 2201-2205.

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