Abstract #2564

An ADC-based Radiomics model: differential diagnosis of mucinous breast carcinoma from similar morphological invasive ductal breast carcinoma

yuanfei li¹, ning ning¹, lina zhang¹, qi wu¹, siqi zhao¹, ailian liu¹, qinhe zhang¹, jianzhou chen², jingjing cui², and lizhi xie³

¹The First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China, ³GE Healthcare, Beijing, China

Synopsis

Keywords: Breast, RadiomicsMucinous breast carcinomas (MBCs) always have similar morphological manifestations with invasive ductal breast carcinomas (IDCs) on conventional MRI. MBCs have a better prognosis and early treatment can achieve good results. Radiomics is a novel tool automated data feature extraction algorithms，which has the potential to uncover disease characteristics that are difficult to identify by human vision alone. We develop a radiomics model for explore the preoperative differentiation of combining the intratumoral signal intensity (SI) on T2WI and ADC derived from DWI in MBCs and IDC. The results confirm that the model has potential in the differential diagnosis of MBCs and IDC.

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