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INFLUENCE 2.0 model for improved risk estimation in early breast cancer

Prof. Sabine Siesling
Prof. Sabine Siesling

Researchers in Germany and The Netherlands updated the INFLUENCE nomogram for indivualized risk estimations in early-stage breast cancer patients. INFLUENCE 2.0 is a flexible model to predict time-dependent individual risks
of locoregional recurrence, secundary primary tumors, and distant metastases at a five-year scale. It can support clinical decision-making regarding personalized follow-up strategies for curatively treated non-metastatic breast cancer patients.

Original publicationlink.springer.com
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