• Ultra-fast dynamic MRI effectively differentiates benign from malignant breast lesions. • Ultra-fast dynamic MRI contributes to BI-RADS categorisation in non-mass enhancement. • Management of non-mass breast lesions becomes more appropriate.
Minor modification of the duty assignment system has the potential to improve working efficiency and may reduce the work-related stress of diagnostic radiologists.
Background
Breast masses will deform between different postures and modalities in the background mammary gland. However, this difference in deformation between benign and malignant masses has not been studied.
Purpose
To investigate the feasibility of using the change of the longitudinal-transverse ratio (L/T) of a breast mass from supine ultrasonography (US) and prone magnetic resonance imaging (MRI) as representing deformation in differentiating between benign and malignant masses.
Material and Methods
The participants were 197 consecutive patients with 201 breast masses (55 benign, 146 malignant) who had undergone both US and MR examinations with histological diagnoses at our hospital from January 2012 to December 2014. On US, the largest transverse diameter of the mass (TUS) parallel to the pectoral muscle and the longitudinal diameter (LUS) perpendicular to the muscle were measured. On prone MRI, the largest transverse diameter of the mass (TMR) parallel to the pectoral muscle and the orthogonally oriented diameter as the longitudinal direction (LMR) were measured. The change of the L/T between these modalities was compared between benign and malignant masses.
Results
Malignant breast masses showed significantly smaller change of the L/T (median [interquartile range (IQR)] = 13.5% [4.29–24.4]) than benign ones (36.7% [24.3–52.4]) (P < 0.001). The optimum cut-off value of the change of the L/T for differentiating malignant from benign was 19.1%, with sensitivity, specificity, and area under the curve of 63.7%, 90.9%, and 0.834, respectively.
Conclusion
The change of the L/T may be a feasible and useful quantitative index for differentiating breast masses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.