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KMID : 1151820180120060755
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Journal of the Korean Society of Radiology
2018 Volume.12 No. 6 p.755 ~ p.762
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Correlation Analysis of Diffusion Metrics (FA and ADC) Values Derived from Diffusion Tensor Magnetic Resonance Imaging in Breast Cancer
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Lee Jae-Heun
Lee Hyo-Yeong
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Abstract
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The purpose of this study was to compare the FA(faractional anisotropy) and ADC(apparent diffusion coefficient) values, which were derived from diffusion tensor imaging in breast cancer patients. The diffusion gradient used in this study was derived from quantitative diffusion indices using 20 directions(b-value, 0 and 1,000s / mm2). Quantitative analysis was analyzed using Pearson’s correction and qualitative analysis using for correction coefficients. As a result, FAmin, FAmean and FAmax were 0.098 ± 0.065, 0.302 ± 0.142 and 0.634 ± 0.236, respectively(p > 0.05). The ADCmin, ADCmean and ADCmax were 0.741 ± 0.403, 1.095 ± 0.394 and 1.530 ± 0.447, respectively(p > 0.05). The FAmin, FAmean, and FAmax mean values were 0.132 ± 0.050, 0.418 ± 0.094, and 0.770 ± 0.164 for Category 6 and Kinetic Curve Pattern III, respectively. ADCmin, ADCmean, and ADCmax were 0.753 ± 0.189, 1.120 ± 0.236, and 1.615 ± 0.372, respectively. Quantitative analysis showed negative correlation between ADCmean - FAmean and ADCmax - FAmax(p = 0.001, 0.003). The qalitative analysis showed ADC 0.628(p = 0.001), FA 0.620(p = 0.001) in the internal evaluations, ADC 0.677(p = 0.001), FA 0.695(p = 0.001) in external evaluations. In conclusion, based on the morphological examination, time to signal intensity graph is the form of wash-out(pattern Ⅲ) in the dynamic contrast enhance examination, As a result, the ADCmean 1.120 ± 0.236 and FAmean values were 0.032 ± 0.142 with a negative correlation (Y=1.44-1.12X). Therefore, If we understand the shape of time to signal intensity graph and the relationship between ADC and FA, It will be a criterion for distinguishing malignant diseases in breast cancer.
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KEYWORD
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DTI, FA, ADC, IDC, DCIS
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