The role of diffusion weighted imaging as supplement to dynamic contrast enhanced breast MRI: Can it help predict malignancy, histologic grade and recurrence?
Autor: | Michael D.C. Fishman, Alexander Brook, Shima Roknsharifi, Monica D. Agarwal, Vritti Kharbanda, Vandana Dialani |
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Rok vydání: | 2018 |
Předmět: |
Adult
medicine.medical_specialty Receptor ErbB-2 Contrast Media Breast Neoplasms Malignancy 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Breast cancer Predictive Value of Tests medicine Breast MRI Effective diffusion coefficient Mucinous carcinoma Humans Radiology Nuclear Medicine and imaging skin and connective tissue diseases Retrospective Studies medicine.diagnostic_test business.industry Carcinoma Ductal Breast Ductal carcinoma Middle Aged medicine.disease Adenocarcinoma Mucinous Magnetic Resonance Imaging Neoplasms Complex and Mixed body regions Carcinoma Lobular Carcinoma Intraductal Noninfiltrating Diffusion Magnetic Resonance Imaging Receptors Estrogen 030220 oncology & carcinogenesis Invasive lobular carcinoma Female Radiology Neoplasm Grading Neoplasm Recurrence Local business Oncotype DX Receptors Progesterone |
Zdroj: | Academic radiology. 26(7) |
ISSN: | 1878-4046 |
Popis: | Rationale and Objectives To evaluate the value of adding Diffusion Weighted Imaging (DWI) with Apparent Diffusion Coefficient (ADC) mapping to dynamic contrast enhanced (DCE-MRI) to distinguish benign from malignant pathology subtypes and tumor recurrence. Method and Materials In this retrospective IRB approved study, 956 consecutive patients underwent bilateral breast MRI between 1/2015 and 12/2015, with 156 BIRADS 4, 5, or 6 lesions detected in 111 patients. DWI imaging at B0, B100, B600, B1000 was performed with DCE-MRI. Values for diffusion and ADC images were recorded by two fellowship-trained breast radiologists. Mean ADC and signal intensity (SI) values were correlated with histology, tumor grade, hormone receptors (ER, PR, and HER-2)and Oncotype DX scores, when available. p ≤ 0.05 was considered significant. Results Of 156 lesions, there were 59 (38%) benign lesions, 24 (15%) Ductal Carcinoma In-Situ, 47 (30%) Invasive Ductal Carcinoma (IDC), 15 (10%) Invasive Lobular Carcinoma (ILC) and 2 (2%) Mucinous carcinoma (MC), five (5%) mixed IDC and ILC, and four (4%) other, including tubular and rare types of malignancy. Mean ADC values for malignancy were significantly lower than for benign lesions (1085 ± 343 × 10−6 vs 1481 ± 276 × 10−6 mm2/s), which is highly predictive (area under curve = 0.82). In addition, tumors with PR negativity and Oncotype score ≥18 (intermediate to high risk for recurrence) demonstrated significantly lower ADC values. SI at B100 and B600 was helpful in distinguishing benign versus IDC. There was no significant correlation between ADC values and tumor grade or ER/HER2 status. Conclusion ADC value is important factor in distinguishing malignancy, differentiating tumors with higher Oncotype score, and PR negativity. Therefore, it can be used as an important tool to assist appropriate treatment selection. |
Databáze: | OpenAIRE |
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