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Nodule classification on low-dose unenhanced CT and standard-dose enhanced CT: Inter-protocol agreement and analysis of interchangeability

Cited 4 time in Web of Science Cited 4 time in Scopus
Authors

Lee, Kyung Hee; Lee, Kyung Won; Park, Ji Hoon; Han, Kyunghwa; Kim, Jihang; Lee, Sang Min; Park, Chang Min

Issue Date
2018-05
Publisher
대한영상의학회
Citation
Korean Journal of Radiology, Vol.19 No.3, pp.516-525
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.
ISSN
1229-6929
URI
https://hdl.handle.net/10371/206496
DOI
https://doi.org/10.3348/kjr.2018.19.3.516
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  • College of Medicine
  • Department of Medicine
Research Area Radiology

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