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Abstract #4269

Improved Differentiation of Benign and Malignant Breast Lesions with Synthetic Relaxometry and Kaiser Score

Lingsong Meng1, Xin Zhao1, Jinxia Guo2, Lin Lu1, Qingna Xing1, Yafei Guo1, Honglei Shang1, Penghua Zhang1, Yongbing Sun1, and Xiaoan Zhang1
1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Research, GE Healthcare, Beijing, China


Early detection and accurate characterization can reduce significantly the death rates of breast cancer patients. Kaiser score (KS) demonstrates robust and wonderful performance in the assessment of breast lesions. Nevertheless, this scoring system lacks quantitative parameters, which may lead to false negatives, especially for breast cancers exhibiting atypical morphological features. In this study, the quantitative value from Synthetic MRI was added to the KS assessment to improve the differentiation of the malignant and benign breast lesions.

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