ISSN 1004-4140
CN 11-3017/P
ZHANG Jing, LI Honglei, ZHANG Ting, BU Yulian, CHEN Xiaoyan, FANG Weihuan, XU Jingci, PAN Zilai, CHEN Kemin, LI Weixia, SHAO Dandan, LIN Xiaozhu, YAN Fuhua. Comparison in Localization of Pancreatic Insulinoma by the Multiparameter of Dual Energy Spectral CT Imaging[J]. CT Theory and Applications, 2019, 28(4): 471-476. DOI: 10.15953/j.1004-4140.2019.28.04.08
Citation: ZHANG Jing, LI Honglei, ZHANG Ting, BU Yulian, CHEN Xiaoyan, FANG Weihuan, XU Jingci, PAN Zilai, CHEN Kemin, LI Weixia, SHAO Dandan, LIN Xiaozhu, YAN Fuhua. Comparison in Localization of Pancreatic Insulinoma by the Multiparameter of Dual Energy Spectral CT Imaging[J]. CT Theory and Applications, 2019, 28(4): 471-476. DOI: 10.15953/j.1004-4140.2019.28.04.08

Comparison in Localization of Pancreatic Insulinoma by the Multiparameter of Dual Energy Spectral CT Imaging

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  • Received Date: June 10, 2019
  • Available Online: November 07, 2021
  • Published Date: August 24, 2019
  • Objective: To compare the multiparameter of dual energy spectral CT imaging in localization of pancreatic Insulinoma.Materials and Methods: 42 patients were included in this study with underwent the dual-phase DEsCT imaging.Their CT images were interpreted retrospectively by two radiologists.All the patients had been confirmed pathologically.Results: 70 ke V mono-energy imaging detected 30, 20 of 42 tumors, in arterial phase and venous phase, separately;the optimal CNR monochromatic imaging detected 38, 27 of 42 tumors, in arterial phase and venous phase, separately;the iodine density imaging detected 38, 29 of 42 tumors and 39, 32 of42 tumors detected with the combination of the three kinds of images, in arterial phase and venous phase, separately.71.4%(30/42), 90.5%(38/42), 90.5%(38/42), 92.9%(39/42) and 47.6%(20), 64.3%(27), 69%(29), 76.2%(32).Conclusion: The optimal CNR monochromatic imaging has highest sensitivity in localization of insulinomas compared with the 70 ke V mono-energy imaging and the iodine density imaging.The combination of monochromatic image and iodine density image can improve the sensitivity of locating insulinomas.
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