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http://dx.doi.org/10.3348/kjr.2018.19.3.516

Nodule Classification on Low-Dose Unenhanced CT and Standard-Dose Enhanced CT: Inter-Protocol Agreement and Analysis of Interchangeability  

Lee, Kyung Hee (Department of Radiology, Seoul National University Bundang Hospital)
Lee, Kyung Won (Department of Radiology, Seoul National University Bundang Hospital)
Park, Ji Hoon (Department of Radiology, Seoul National University Bundang Hospital)
Han, Kyunghwa (Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine)
Kim, Jihang (Department of Radiology, Seoul National University Bundang Hospital)
Lee, Sang Min (Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center)
Park, Chang Min (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine)
Publication Information
Korean Journal of Radiology / v.19, no.3, 2018 , pp. 516-525 More about this Journal
Abstract
Objective: To measure inter-protocol agreement and analyze interchangeability on nodule classification between low-dose unenhanced CT and standard-dose enhanced CT. Materials and Methods: From nodule libraries containing both low-dose unenhanced and standard-dose enhanced CT, 80 solid and 80 subsolid (40 part-solid, 40 non-solid) nodules of 135 patients were selected. Five thoracic radiologists categorized each nodule into solid, part-solid or non-solid. Inter-protocol agreement between low-dose unenhanced and standard-dose enhanced images was measured by pooling ${\kappa}$ values for classification into two (solid, subsolid) and three (solid, part-solid, non-solid) categories. Interchangeability between low-dose unenhanced and standard-dose enhanced CT for the classification into two categories was assessed using a pre-defined equivalence limit of 8 percent. Results: Inter-protocol agreement for the classification into two categories {${\kappa}$, 0.96 (95% confidence interval [CI], 0.94-0.98)} and that into three categories (${\kappa}$, 0.88 [95% CI, 0.85-0.92]) was considerably high. The probability of agreement between readers with standard-dose enhanced CT was 95.6% (95% CI, 94.5-96.6%), and that between low-dose unenhanced and standard-dose enhanced CT was 95.4% (95% CI, 94.7-96.0%). The difference between the two proportions was 0.25% (95% CI, -0.85-1.5%), wherein the upper bound CI was markedly below 8 percent. Conclusion: Inter-protocol agreement for nodule classification was considerably high. Low-dose unenhanced CT can be used interchangeably with standard-dose enhanced CT for nodule classification.
Keywords
Pulmonary nodules; Classification; Subsolid nodule; Ground-glass nodule; Computed tomography; Low-dose CT;
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