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New Method That Helps Reduce Breast-lesion Biopsies Developed
Led by Wendy DeMartini, M.D., researchers in the breast-imaging department at the Seattle Cancer Care Alliance developed a preliminary statistical model that could help breast radiologists in predicting if a lesion found on breast MRI is malignant or benign.
The scientists reviewed almost 2,600 breast MRI exams performed during a four-year period at the SCCA and found three crucial patient and lesion characteristics that, when used in combination, could predict the likelihood of malignancy, including identifying some lesions with probabilities of cancer close to zero.
Such a model, if confirmed by more research, could be beneficial because MRI exams are so sensitive that they reveal cancerous and non-cancerous lesions that often look alike and behave similarly when contrast dye is injected into the patient. Biopsy becomes necessary to find out if a lesion is cancerous.
Thus, statistical models may improve the ability to distinguish between such lesions and avoid unnecessary biopsies.
The scientists analysed several patient and lesion characteristics that radiologists consider while deciding whether a biopsy is required for diagnosis.
They found three categories of characteristics that, when taken together, were the best at predicting malignancy. These were the reason that the women was having a breast MRI, the size of the lesion, and the lesion enhancement pattern from the the MRI contrast dye.
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