References
- Ascenti G, Krauss B, Mazziotti S, et al. Dual-energy computed tomography (DECT) in renal masses: nonlinear versus linear blending. Acad Radiol. 2012;19(10):1186–1193.
- Chao HE, Lin WL, Ren QW, et al. The Value of Dynamic Contrast-Enhanced CT Scan in Differentiating Benign and Malignant Solitary Pulmonary Nodules. Chinese J CT MRI. 2014;5(16):31–35.
- Hanna NH. Survival of Patients with Stage I Lung Cancer Detected on CT Screening. Yearbook Med. 2008;2008:175–177.
- He YL, Zhang DM, Xue HD, et al. Clinical Value of Dual-energy CT in Detection of Pancreatic Adenocarcinoma: Investigation of the Best Pancreatic Tumor Contrast to Noise Ratio. Chinese Med Sci J. 2012; 27(4):207–212.
- Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA Cancer J Clin. 2011;61(2):69–90.
- Kartje JK, Schmidt B, Bruners P, et al. Dual energy CT with nonlinear image blending improves visualization of delayed myocardial contrast enhancement in acute myocardial infarction. Investig Radiol. 2013;48(1):41–45.
- Li S, Wang C, Jiang X, et al. Effects of dual-energy CT with non-linear blending on abdominal CT angiography. Korean J Radiol. 2014;15(4):430–438.
- Li Y, Yang ZG, Chen TW, et al. First-pass perfusion imaging of solitary pulmonary nodules with 64-detector row CT: comparison of perfusion parameters of malignant and benign lesions. BJR. 2010;83(993):785–790.
- Liu MB, Wang W, Zhou MG. [Trend analysis on the mortality of cardiovascular diseases from 2004 to 2010 in China. Zhonghua Liu Xing Bing Xue Za Zhi. 2013;34(10):985–988.
- Lv P, Liu J, Wu R, et al. Use of non-linear image blending with dual-energy CT improves vascular visualization in abdominal angiography. Clin Radiol. 2014;69(2):e93–e99.
- Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17(6):1510–1517.
- Md JCR. Solitary pulmonary nodule. Chest Radiol. 2019;3(12):269–289.
- Scholtz JE, Hüsers K, Kaup M, et al. Non-linear image blending improves visualization of head and neck primary squamous cell carcinoma compared to linear blending in dual-energy CT. Clin Radiol. 2015;70(2):168–175.
- Swensen SJ, Viggiano RW, Midthun DE, et al. Lung nodule enhancement at CT: multicenter study. Radiology. 2000;214(1):73–80.
- Wang Q, Gaofeng S, Xueli F, et al. Comparative study of hepatic venography using non-linear-blending images, monochromatic images and low-voltage images of dual-energy CT. BJR. 2014;87(1042):20140220.
- Wang Q, Shi G, Liu X, et al. Optimal contrast of computed tomography portal venography using dual-energy computed tomography. J Comput Assisted Tomogr. 2013;37(2):142–148.
- Wichmann JL, Hu X, Kerl JM, et al. Non-linear blending of dual-energy CT data improves depiction of late iodine enhancement in chronic myocardial infarction. Int J Cardiovasc Imaging. 2014;30(6):1145–1150.
- Ye XD, Ye JD, Yuan Z, et al. Dynamic CT of solitary pulmonary nodules: comparison of contrast medium distribution characteristic of malignant and benign lesions. Clin Transl Oncol. 2014;16(1):49–56.