Differentiation of small intrahepatic mass-forming cholangiocarcinoma from small liver abscess by dual source dual-energy CT quantitative parameters
- Authors
- Kim, Ji Eun; Kim, Hyun Ok; Bae, Kyungsoo; Cho, Jae Min; Choi, Ho Cheol; Choi, Dae Seob
- Issue Date
- Jul-2017
- Publisher
- ELSEVIER IRELAND LTD
- Keywords
- Intrahepatic cholangiocarcinoma; Liver abscess; Computed tomography; Dual-energy; Quantitative evaluation
- Citation
- EUROPEAN JOURNAL OF RADIOLOGY, v.92, pp.145 - 152
- Indexed
- SCIE
SCOPUS
- Journal Title
- EUROPEAN JOURNAL OF RADIOLOGY
- Volume
- 92
- Start Page
- 145
- End Page
- 152
- URI
- https://scholarworks.bwise.kr/gnu/handle/sw.gnu/13648
- DOI
- 10.1016/j.ejrad.2017.05.012
- ISSN
- 0720-048X
- Abstract
- Purpose: To investigate the use of dual source dual-energy CT (DECT) quantitative parameters compared with the use of conventional CT for differentiating small (= 3 cm) intrahepatic mass-forming cholangiocarcinoma (IMCC) from small liver abscess (LA) during the portal venous phase (PVP). Material and methods: In this institutional review board-approved, retrospective study, 64 patients with IMCCs and 52 patients with LAs who were imaged in PVP using dual-energy mode were included retrospectively. A radiologist drew circular regions of interest in the lesion on the virtual monochromatic images (VMI), colorcoded iodine overlay images, and linear blending images with a linear blending ratio of 0.3 to obtain CT value, its standard deviation, slope (k) of spectral curve and normalized iodine concentration (NIC). Two radiologists assessed lesion type on the basis of qualitative CT imaging features. Results: CT values on VMI at 50-130 keV (20 keV-interval), k, and NIC values were significantly higher in IMCCs than in LAs (p < 0.0001). The best single parameter for differentiating IMCC from LA was CT value at 90 keV, with sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of 89.1%, 86.5%, 87.9%, 89.1%, and 86.5%, respectively. The best combination of parameters was CT value at 90 keV, k, and NIC, with values of 87.5%, 84.6%, 83.6%, 87.5%, and 84.6%, respectively. Compared with CT value at linear blending images, CT value at 90 keV showed greater sensitivity (89.1% vs 60.9%, p < 0.0001) and similar specificity (86.5% vs 84.6%, p= 1.0000), and combined CT value at 90 keV, k, and NIC showed greater sensitivity (87.5% vs 60.9%, p < 0.0001) and similar specificity (84.6% vs 84.6%, p= 1.0000). Compared with qualitative analysis, CT value at 90 keV showed greater sensitivity (89.1% vs 65.6%, p= 0.0059) and specificity (86.5% vs 69.2%, p = 0.0352), and combined CT value at 90 keV, k, and NIC showed greater sensitivity (87.5% vs 65.6%, p= 0.0094) and similar specificity (84.6% vs 69.2%, p> 0.05). Conclusion: Quantitative analysis of dual source dual-energy CT quantitative parameters showed greater accuracy than quantitative and qualitative analyses of conventional CT for differentiating small IMCCs from small LAs on single PVP scan.
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