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Updated: Jul 15, 2026

Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
Published on: January 29, 2019
Estimation of metastatic cure after radionuclide therapy
P Bernhardt1, E Forssell-Aronsson
1Department of Radiation Physics, Göteborg University, Sahlgrenska University Hospital Göteborg, Sweden. peter.bernhardt@radfys.gu.se
Abstract:
Targeted radionuclide therapy of disseminated tumor disease involves many factors that will affect the therapeutic outcome. For optimization of such therapy, it is important to know how these factors affect the therapeutic outcome. In this paper, the metastatic cure probability (MCP) model is described. The MCP model is a valuable tool for analyses of the various factors influencing the metastatic cure. The factors discussed are: 1) the physical parameters (the energy and range of emitted particles, absorbed dose-distributions, and cross-irradiation of tumors from the surrounding normal tissue) and 2) the biological parameters (radiosensitivity of tumors, tumor distributions, tumor growth rate, metastasis formation rate, variable tumor activity concentration and non-homogeneous tumor activity distributions).
