Computer-Assisted Texture Analysis of DMSA Scintigraphy in Diagnosis of Pyelonephritis(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• DMSA renal scan has been used to evaluate renal parenchymal lesions such as pyelonephritis. However, it is frequently difficult to differentiate pelvocalyectatic defects from true cortical defects. We investigated whether DMSA renal scan images could be effectively evaluated by computer-assisted texture analysis such as fractal texture analysis. We retrospectively analyzed 35 DMSA renal scan images - 12 normal kidneys, 11 with pelvocalyectatic cortical defects and 12 with true cortical defects. The kidneys on DMSA scan images were segmented by the binary threshold and subtraction techniques, and the texture analysis was done using a fractal texture analysis tool (Image-J). The values from the texture analysis were compared between the three groups using student's t-test and ROC curve analysis. In addition, patients' urinanalysis laborotary data was added to the texture analysis values and analyzed using discriminant analysis. The kidney images with true cortical defects showed higher fractal texture values than those of normal or pelvocalyectatic kidneys, but was not statistically significant. There was a significant difference in fractal texture values only between normal and pelvocalyectatic kidneys (p<0.05). ROC curve analysis in fractal texture values between the groups of true cortical defects and pelvocalyectases demonstrated the best cut-off value of 1.703 (Sensitivity of 91.7% and specificity of 72.7%) and area under curve of 0.833. Discriminant analysis combining the fractal texture values and patients' urinanalysis laborotary data showed no further improvement in differential diagnostic accuracy. Although the number of images is limited, computer-assisted fractal texture analysis may be helpful to differentiate pelvocalyectatic defects from true defects. However, further studies including more cases and clinical parameters are warranted.

• 社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Choi Duck-joo

  Department Of Internal Medicine Gachon University Gil Hospital

• CHOE Wonsick

  Department of Nuclear Medicine, Inha University College of Medicine

• Choe Wonsick

  Department Of Nuclear Medicine Gachon University Gil Hospital

• HWANG Kyung

  Department of Environmental Engineering, Chonnam National University

• Lee Minkyung

  Department of Nuclear Medicine, Gachon University Gil Hospital

• Hwang Kyung

  Department Of Environmental Engineering Chonnam National University

• Hwang Kyung

  Department Of Nuclear Medicine Gachon University Gil Hospital

• Lee Minkyung

  Department Of Nuclear Medicine Gachon University Gil Hospital

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