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Purpose To investigate the correlation between computer-aided diagnosis (CAD) parameters in 3-tesla (T) MRI and pathologic immunohistochemical (IHC) markers in invasive carcinoma of no special type (NST). Materials and Methods A total of 94 female who were diagnosed with NST carcinoma and underwent 3T MRI using CAD, from January 2018 to April 2019, were included. The relationship between angiovolume, curve peak, and early and late profiles of dynamic enhancement from CAD with pathologic IHC markers and molecular subtypes were retrospectively investigated using Dwass, Steel, Critchlow-Fligner multiple comparison analysis, and univariate binary logistic regression analysis. Results In NST carcinoma, a higher angiovolume was observed in tumors of higher nuclear and histologic grades and in lymph node (LN) (+), estrogen receptor (ER) (-), progesterone receptor (PR) (-), human epidermal growth factor 2 (HER2) (+), and Ki-67 (+) tumors. A high rate of delayed washout and a low rate of delayed persistence were observed in Ki-67 (+) tumors. In the binary logistic regression analysis of NST carcinoma, a high angiovolume was significantly associated with a high nuclear and histologic grade, LN (+), ER (-), PR (-), HER2 (+) status, and non-luminal subtypes. A high rate of washout and a low rate of persistence were also significantly correlated with the Ki-67 (+) status. Conclusion Angiovolume and delayed washout/persistent rate from CAD parameters in contrast enhanced breast MRI correlated with predictive IHC markers. These results suggest that CAD parameters could be used as clinical prognostic, predictive factors. [ABSTRACT FROM AUTHOR]

Purpose To investigate the correlation of the strain elasticity of breast cancer with histologic features, immunohistochemical markers and molecular subtypes that are known to be factors related to prognosis. Materials and Methods B-mode ultrasound and strain elastography were performed in 123 patients (mean age, 53.4; range, 28–82) with invasive ductal carcinoma (IDC) (mean size, 1.54 cm; range, 0.4–7.0 cm). Histologic grade, lymph node (LN) status, lymphovascular invasion, immunohistochemical biomarkers [estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 (HER2), CK5/6, epidermal growth factor receptor, and Ki-67] and molecular subtypes were determined from surgical pathology reports. The relationships between these factors and elasticity scores were evaluated. Results LN involvement was associated with a higher elasticity score which was statistically significant (p = 0.042). The tumor size, lymphovascular invasion, histologic grades, immunohistochemical markers and molecular subtypes had no significant correlation with the elasticity score (p > 0.05 for all). However, the IDCs with larger size and a positive lymphovascular invasion tended to have higher elasticity scores. Furthermore, higher histologic grade cancers and the HER2 overexpression-type tended to have lower elasticity scores. Conclusion The elasticity score of IDC had a significant correlation with LN involvement but no statistically significant correlation with the histologic features, immunohistochemical markers or molecular subtypes. [ABSTRACT FROM AUTHOR]