Author:
Zidan Mohamed,Saad Shimaa Ali,Abo Elhamd Eman,Galal Hosam Eldin,Elkady Reem
Abstract
Abstract
Background
Asymmetric breast density is a potentially perplexing finding; it may be due to normal hormonal variation of the parenchymal pattern and summation artifact or it may indicate an underlying true pathology. The current study aimed to identify the role of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) values in the assessment of breast asymmetries.
Results
Fifty breast lesions were detected corresponding to the mammographic asymmetry. There were 35 (70%) benign lesions and 15 (30%) malignant lesions. The mean ADC value was 1.59 ± 0.4 × 10–3 mm2/s for benign lesions and 0.82 ± 0.3 × 10–3 mm2/s for malignant lesions. The ADC cutoff value to differentiate between benign and malignant lesions was 1.10 × 10–3 mm2/s with sensitivity 80%, specificity 88.6%, positive predictive value 75%, negative predictive value 91%, and accuracy 86%. Best results were achieved by implementation of the combined DCE-MRI and DWI protocol, with sensitivity 93.3%, specificity 94.3%, positive predictive value 87.5%, negative predictive value 97.1%, and accuracy 94%.
Conclusion
Dynamic contrast-enhanced MRI (DCE-MRI) was the most sensitive method for the detection of the underlying malignant pathology of breast asymmetries. However, it provided a limited specificity that may cause improper final BIRADS classification and may increase the unnecessary invasive procedures. DWI was used as an adjunctive method to DCE-MRI that maintained high sensitivity and increased specificity and the overall diagnostic accuracy of breast MRI examination. Best results can be achieved by the combined protocol of DCE-MRI and DWI.
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Reference22 articles.
1. Kopans DB, Swann CA, White G, McCarthy KA, Hall DA, Belmonte SJ, Gallagher W (1989) Asymmetric breast tissue. Radiology 1989(171):639–643
2. Samardar P, Shaw de Paredes E, Grimes MM, Wilson JD (2002) Focal asymmetric densities seen at mammography: US and pathologic correlation. Radio-Graphics 2002(22):19–33
3. Berg WA, Campassi C, Langenberg P, Sexton MJ (2000) Breast Imaging Reporting and Data System: inter and intraobserver variability in feature analysis and final assessment. Am J Roentgenol 2000(174):1769–1777
4. American College of Radiology (2013) Breast Imaging Reporting and Data System® (BI-RADS®), 5th edn. American College of Radiology, Reston
5. Sickles EA. The spectrum of breast asymmetries: imaging features, work-up, and management. Radiol Clin North Am 2007;45:765–771, v.