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Abstract #2076

Prediction of low-risk breast cancer using quantitative DCE-MRI and its pathological basis

Tingting Xu1 and Guangyu Tang1

1Department of Radiology, Tenth People’s Hospital,TongjiUniversity School of medicine, Shanghai, Shanghai, People's Republic of China

Purpose: This study aimed to evaluate the difference in dynamic contrast enhanced magnetic resonance imaging characteristics between low-risk and non-low-risk breast cancers and to explore the possible pathological basis.

Materials and methods: Approval from the institutional review board and informed consent were acquired for this study. The MR images of 104 lesions with pathologically proven breast cancer were retrospectively analyzed.

Result: Low-risk tumors showed significantly lower Ktrans and Kep values and higher ADC value than non-low-risk breast cancers.

Conclusion: The prediction parameter using Ktrans, Kep, and ADC obtained on DCE-MRI and diffusion-weighted imaging could facilitate the identification of low-risk breast cancers.

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