| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Outline of Final Research Achievements |
In this study, we aimed to develop an image analysis for improving diagnostic accuracy in ultrasonography, which is highly important as a noninvasive diagnosis of Sjoegren's syndrome. We developed an image analysis using dual tree complex wavelet transform (DT - CWT) and analyzed the parotid gland ultrasonographic images of 174 patients, including 77 cases who were considered positive for Sjoegren 's syndrome by sialography. As a result of the diagnostic accuracy combined with DT-CWT and machine learning, the sensitivity in the low severity group was 90 ± 3.7% and the accuracy was 88 ± 4.2%. The fact that the sensitivity was 79% and the accuracy was 80% by a dentist indicated the usefulness of this image analysis in clinical diagnosis.
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