To investigate the relationship between apparent diffusion coefficient (ADC) value and molecular biomarkers in breast invasive ductal carcinomas (IDCs)
which may facilitate the optimal treatment and prognosis prediction.
Methods:
A total of 67 patients with IDC were enrolled in this study. All the patients underwent breast diffusion weighted magnetic resonance imaging (DW-MRI) before treatment. The ADC values of IDCs were calculated. The expressions of estrog
en receptor (ER)
progesterone receptor (PR)
Ki-67
human epidermal growth factor receptor 2 (HER-2) were analyzed by immunohistochemistry. The relationships between ADC values and ER
PR
HER-2 and ki-67 expressions were statistically evaluated while the ADC values in different subtypes were also studied.
Results:
The ADC values of IDCs did not correlate significantly with Ki-67 by Spearmans correlation analysis (
P
0.05); The mean ADC value was higher in IDCs with negative ER
PR and HER-2 expressions than that with positive expressions (
P
0.05); The triple-negative IDC had higher mean ADC value than Luminal A
Luminal B and HER-2 overexpressing IDCs (
P
0.05); The mean ADC value in HER-2 overexpressing IDC was significantly higher than that in Luminal B type IDC (
P
0.05).
Conclusion:
The ADC value could be used to evaluate the expressions of molecular biomarkers and IDC subtype
which could help determine individual treatment and predict prognosis.
Magnetic resonance imaging features of breast encapsulated papillary carcinoma and differential diagnosis of solid and cystic breast intraductal papillomatosis
The value of contrast-enhanced ultrasound in the diagnosis of Breast Imaging Reporting and Data System 4a breast lesions
Ultrasonographic diagnosis of encapsulated papillary carcinoma of the breast
Ultrasonographic diagnosis of solid papillary carcinoma of the breast
Ultrasonographic features of breast solid papillary carcinoma
Related Author
LIANG Changhong
YE Weitao
LI Jiao
WU Lei
LIU Zaiyi
LIU Chunling
LIU Weixiao
ZHONG Zhaoming
Related Institution
Graduate College, Shantou University Medical College
Department of Radiology, Guangdong Provincial People&rsquo
Medical College, South China University of Technology
Department of Ultrasound, the First Affiliated Hospital of Soochow Unersity
Department of Pathology, the First Affiliated Hospital of Soochow University