scholarly journals Apparent Diffusion Coefficient in Invasive Ductal Breast Carcinoma: Correlation with Detailed Histologic Features and the Enhancement Ratio on Dynamic Contrast-Enhanced MR Images

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Roka Namoto Matsubayashi ◽  
Teruhiko Fujii ◽  
Kotaro Yasumori ◽  
Toru Muranaka ◽  
Seiya Momosaki

Purpose. To investigate the correlation of Apperent Diffusion Coefficient (ADC) values in invasive ductal breast carcinomas with detailed histologic features and enhancement ratios on dynamic contrast-enhanced MRI.Methods and Materials. Dynamic MR images and diffusion-weighted images (DWIs) of invasive ductal breast carcinomas were reviewed in 25 (26 lesions) women. In each patient, DWI, T2WI, T1WI, and dynamic images were obtained. The ADC values of the 26 carcinomas were calculated with b-factors of 0 and 1000 s/ using echoplanar DWI. Correlations of the ADC values were examined on dynamic MRI with enhancement ratios (early to delayed phase: E/D ratio) and detailed histologic findings for each lesion, including cellular density, the size of cancer nests, and architectural features of the stroma (broad, narrow, and delicate) between cancer nests.Results. The mean ADC was  /sec. Cellular density was significantly correlated with ADC values () and E/D ratios (). The ADC values were also significantly correlated to features of the stroma (broad to narrow, ).Conclusion. The findings suggest that DWIs reflect the growth patterns of carcinomas, including cellular density and architectural features of the stroma, and E/D ratios may also be closely correlated to cellular density.

Radiology ◽  
2000 ◽  
Vol 217 (3) ◽  
pp. 841-848 ◽  
Author(s):  
Roka Matsubayashi ◽  
Yoshitomo Matsuo ◽  
Genichiro Edakuni ◽  
Toshimi Satoh ◽  
Osamu Tokunaga ◽  
...  

Breast Care ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 32-37
Author(s):  
Ning Qu ◽  
Yahong Luo ◽  
Tao Yu ◽  
Huihui Yu

Objective: This study aimed to identify characteristics that can differentiate between pure mucinous breast carcinomas (PMBCs) and fibroadenomas (FAs) with strong high-signal intensity on T2-weighted images (T2-SHi) from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Methods: The DCE-MRI tumor characteristics were compared and analyzed between 35 PMBCs and 70 FAs with T2-SHi. Results: Multivariate analysis revealed that delayed enhancement pattern was the only significant independent predictor (p = 0.007). Conclusion: A delayed enhancement pattern is the most reliable characteristic for differentiating PMBCs from FAs with T2-SHi from DCE-MRI.


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