Modeling and Predicting Tumor Response in Radioligand Therapy.

Abstract

The aim of this work was to develop a theranostic method that allows prediction of prostate-specific membrane antigen (PSMA)-positive tumor volume after radioligand therapy (RLT) based on a pretherapeutic PET/CT measurement and physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling at the example of RLT using ¹⁷⁷Lu-labeled PSMA for imaging and therapy (PSMA I&T). <b>Methods:</b> A recently developed PBPK model for ¹⁷⁷Lu-PSMA I&T RLT was extended to account for tumor (exponential) growth and reduction due to irradiation (linear quadratic model). Data from 13 patients with metastatic castration-resistant prostate cancer were retrospectively analyzed. Pharmacokinetic/pharmacodynamic parameters were simultaneously fitted in a Bayesian framework to PET/CT activity concentrations, planar scintigraphy data, and tumor volumes before and after (6 wk) therapy. The method was validated using the leave-one-out Jackknife method. The tumor volume after therapy was predicted on the basis of pretherapy PET/CT imaging and PBPK/PD modeling. <b>Results:</b> The relative deviation of the predicted and measured tumor volume for PSMA-positive tumor cells (6 wk after therapy) was 1% ± 40%, excluding 1 patient (prostate-specific antigen-negative) from the population. The radiosensitivity for the prostate-specific antigen-positive patients was determined to be 0.0172 ± 0.0084 Gy^-1<b>Conclusion:</b> To our knowledge, the proposed method is the first attempt to solely use PET/CT and modeling methods to predict the PSMA-positive tumor volume after RLT. Internal validation shows that this is feasible with an acceptable accuracy. Improvement of the method and external validation of the model is ongoing.