Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

Abstract While targeted therapies exist for human epidermal growth factor receptor 2 positive (HER2 +) breast cancer, HER2 + patients do not always respond to therapy. We present the results of utilizing a biophysical mathematical model to predict tumor response for two HER2 + breast cancer patients...

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Auteurs principaux: Angela M. Jarrett, David A. Hormuth, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan, Daniel Schmolze, Joanne Mortimer, Russell C. Rockne, Thomas E. Yankeelov
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Accès en ligne:https://doaj.org/article/b0d9d0ed140743fbab8a82a362ac28df
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