Dynamic contrast-enhanced MRI (DCE-MRI) has emerged in recent years as a useful tool in breast cancer detection and staging. One of its primary limitations is a substantial number of false-positive findings that require biopsies.
"Many benign lesions demonstrate enhancement on DCE-MRI," said Doctor Savannah C. Partridge of the University of Washington. "We need another means for differentiating benign lesions from malignancies."
One possible solution is diffusion-weighted imaging (DWI), an MRI technique that calculates the apparent diffusion coefficient (ADC) — a measure of how water moves through tissue.
"DWI has been used mostly in neurological applications, but it's been studied more recently in breast imaging," Partridge said. "It only adds a couple of minutes to the MRI exam and does not require additional contrast or any extra hardware."
Research has shown that DWI is a promising tool for distinguishing between benign and malignant breast lesions. Normal breast tissue has a high ADC because water moves through it relatively freely, while most cancers have a lower ADC because their cells are more tightly packed and restrict water motion. However, significant overlap exists between the ADC values of non-malignant lesions and breast malignancies, and little is known about the ADC values of specific subtypes of non-malignant lesions.
For the new study, the researchers evaluated the DWI characteristics of non-malignant lesions in 165 women. Based on ADC values above a previously determined diagnostic threshold, DWI successfully characterized 46 percent of non-malignant breast lesions identified as false-positive findings on DCE-MRI as benign.
"We were excited to see the number of false positives that could be reduced through this approach," Partridge said. "DWI gives us extra microstructural information to distinguish among lesions. We can use ADC values to draw a cutoff above which we might not need to do a biopsy." The research team is planning a multicenter trial to validate the findings and determine how to best to incorporate ADC measures into clinical breast MRI interpretations.
MEDICA.de; Source: Radiological Society of North America