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THURSDAY, Feb. 22, 2018 (HealthDay News) — A radiomics model based on kurtosis diffusion-weighted imaging reduces false positives in women with suspicious findings on mammography, according to a study published online Feb. 20 in Radiology<\/i>.<\/p>\n
Sebastian Bickelhaupt, M.D., from the University Hospital Erlangen in Germany, and colleagues examined 222 women at two independent study sites (site 1: training set of 95 patients with 61 malignant and 34 benign lesions; site 2: independent test set of 127 patients with 61 malignant and 66 benign lesions). All participants presented with a finding suspicious for cancer at X-ray mammography (Breast Imaging Reporting and Data System [BI-RADS]) and an indication for biopsy. Diffusion-weighted magnetic resonance imaging was performed before biopsy. Lesions were segmented and voxel-based kurtosis fitting was performed, which was adapted to account for fat signal contamination.<\/p>\n
At the predefined sensitivity of greater than 98.0 percent, the researchers found that the radiomics feature model reduced false-positive results from 66 to 20 in the independent test set (specificity, 70.0 percent); BI-RADS 4a and 4b lesions benefited from the analysis (74.0 and 60.0 percent, respectively), while no added benefit was seen for BI-RADS 5 lesions. Compared with the median apparent diffusion coefficient and the apparent kurtosis coefficient alone, the model significantly improved specificity.<\/p>\n
“A radiomics model based on kurtosis diffusion-weighted imaging performed by using magnetic resonance imaging machines from different vendors allowed for reliable differentiation between malignant and benign breast lesions in both a training and an independent test data set,” the authors write.<\/p>\n
Several authors disclosed financial ties to the medical device industry.<\/p>\n