Abstract #3128

Assessment of tumor subregion complexity using fractal analysis in breast cancer

Run Xu¹, Guanwu Li¹, Dan YU², Yongming Dai², and Xinyue Liang²

¹Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China, ²Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

Keywords: Data Analysis, CancerThis study aimed to develop multiparametric physiologic MRI-based spatial habitat analysis and to validate the association between the habitats and the molecular subtypes. The distinct tumor habitats were identified using multiple MRI-parameter maps, then applied to calculate the volume fraction and fractal dimension (FD) and to investigate their diagnosis value. The combination of FD and volume fraction improves the discriminatory ability for TNBC from non-TNBC with an AUC to 0.951 from 0.853.

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