Pat B. Zanzonico,Sarah M. Cheal,Steven M. Larson,Joseph Reginald Osborne,Edward Komin Fung,David Ulmert
申请号：
US15576119
公开号：
US20180133350A1
申请日:
2016.05.19
申请国别(地区):
US
年份:
2018
代理人:
摘要：
The present disclosure describes a non-linear compartmental model using PET-derived data to predict, on a patient-specific basis, the optimal therapeutic dose of cargo carrying antibody (e.g., huA33) such as radiolabeled antibody, the antigen occupancy, residency times in normal and malignant tissues, and the cancer-to-normal tissue (e.g., colorectal cancer-to-normal colon tissue) therapeutic index. In addition, the non-linear compartmental model can be readily applied to the development of strategies such as multi-step targeting (MST) designed to further improve the therapeutic indices of RIT.
