The Predictability for the Prognosis of Breast Cancer Using the Apparent Diffusion Coefficient Value of Diffusion-Weighted 3 T MRI and the Standardized Uptake Value of Positron Emission Tomography/CT: Assessment of Prognostic Factor

Copyrights © 2012 The Korean Society of Radiology Purpose: To correlate the apparent diffusion coefficient (ADC) value and peak standardized uptake value (pSUV) with histologic grade and clinical prognostic factors of breast ductal carcinoma. Materials and Methods: Fifty breast cancers of 49 patients (age range: 37-83 years, mean: 53 years) were studied retrospectively. The breast cancers included 4 ductal carcinoma in situ (DCIS) and 46 invasive ductal carcinomas (IDC). The relationships for both pSUV and ADC values with clinicopathological prognostic factors (age, tumor size, histologic grade, nodal metastasis, hormone receptor and HER-2 neu status) were statistically evaluated. Results: The histologic type of ductal carcinoma include DCIS (n = 4) and IDC (n = 46, grade 1 = 10, grade 2 = 13, and grade 3 = 23). pSUV was associated with histologic grade and tumor size and the ADC value was associated with histologic grade (p < 0.05). As the histologic grade becomes higher, the ADC values decrease, while pSUV and pSUV/ADC increase (p < 0.05). The characterization accuracy of pSUV/ ADC (90.2%) was higher than pSUV (86.7%) and ADC values (25.4%) alone for the diagnosis of breast cancer (p < 0.05). Conclusion: pSUV and ADC values correlated with histologic grade, and tumor size. The pSUV/ADC value had a high accuracy for the diagnosis of breast cancer. Therefore, pSUV and ADC values provided additional information for predicting histologic grade and prognosis of breast cancer. The Predictability for the Prognosis of Breast Cancer Using the Apparent Diffusion Coefficient Value of Diffusion-Weighted 3 T MRI and the Standardized Uptake Value of Positron Emission Tomography/CT: Assessment of Prognostic Factor 유방암 진단에 있어 3 T 확산강조영상의 현성확산계수값과 양전자방출단층촬영술의 최대표준섭취계수의 유방암 예후 예측 가능성: 유방암 예후인자에 대한 평가

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