The study included 80 patients with 85 lesions. Quantitative analysis of DWI was used to determine whether or not a lesion was benign or malignant. “Using diffusion-weighted imaging can reflect the cellular density of a lesion without using contrast,” said Riham El-Khouli, MD, lead author of the study.
“The quantitative analysis of DWI correctly identified that 50 of 60 lesions as malignant. At the same time, it correctly identified that 23 of 25 of the lesions were benign. Lesions with higher cellular density are more likely to be malignant,” she said.
“MR imaging of the breast is very common. It is typically used for screening patients with an increased risk of developing breast cancer (patients with a personal or family history of breast or ovarian cancer and patients with certain genetic mutations). It is also used for some patients who have been recently diagnosed with breast cancer or for patients with complex mammograms,” said Dr. El-Khouli.
This new MR method that uses diffusion-weighted imaging only adds to the benefits of using MR for breast imaging by improving the ability of MRI to characterize benign from malignant lesions. Hopefully, this procedure will help save women from unnecessary breast biopsies by decreasing the false-positive rates of MRI,” said Dr. El-Khouli.
This study will be presented at the 2009 ARRS Annual Meeting in Boston, MA, on Wednesday, April 29. For a copy of the full study, please contact Heather Curry via email at email@example.com.
The American Roentgen Ray Society (ARRS) was founded in 1900 and is the oldest radiology society in the United States. Its monthly journal, the American Journal of Roentgenology, began publication in 1906. Radiologists from all over the world attend the ARRS annual meeting to participate in instructional courses, scientific paper presentations and scientific and commercial exhibits related to the field of radiology. The Society is named after the first Nobel Laureate in Physics, Wilhelm Röentgen, who discovered the x-ray in 1895.
Heather Curry | EurekAlert!
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