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- W2392977872 abstract "Objective: To investigate the application of ROC curve on the analysis of calcification point distribution and morphological character for the diagnosis of breast cancer. Methods: 198 patients' image data were collected by molybdenum target imaging findings of calcification point and the final pathological diagnosis that showed the breast cancer. Then the ROC curve was used to analyze the calcification point distribution and morphological character, which including the per unit area number, probability of different forms of calcification, the regional average diameter, the longest diameter's difference, and the optimal critical value was confirmed. Results: The malignant group of calcification in the best distribution unit area number was 34 per square meter, Regional average diameter was 22.98mm, Long diameter difference was 1.41mm, Gravel like calcification rate of 78.9%, Line like branching calcification rate was 51.2%; The area under the ROC curve of each: 0.745, 0.756, 0.678, 0.860, 0.900.The line like branching calcification's diagnostic accuracy rate was the highest. Conclusion: The various calcification distribution features have diagnostic efficacy, except of the limitations with single factor. Detection of multiple features can effectively improve the accuracy." @default.
- W2392977872 created "2016-06-24" @default.
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- W2392977872 date "2013-01-01" @default.
- W2392977872 modified "2023-09-23" @default.
- W2392977872 title "The Application of ROC Curve on the Analysis of Calcification Point Distribution and Morphological Character for the Diagnosis of Breast Cancer" @default.
- W2392977872 hasPublicationYear "2013" @default.
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