Abstract
Photodynamic therapy (PDT) dosimetry is an active area of study that is motivated by the need to reliably predict treatment outcomes. Implicit dosimetric parameters, such as photosensitizer (PS) photobleaching, may indicate PDT efficacy and could establish a framework to provide patient-customized PDT. Here, tumor destruction and benzoporphryin-derivative (BPD) photobleaching are characterized by systematically varying BPD-light combinations to achieve fixed PDT doses (M * J * cm-2) in a three-dimensional (3D) model of micrometastatic ovarian cancer (OvCa). It is observed that the BPD-light parameters used to construct a given PDT dose significantly impact nodule viability and BPD photobleaching. As a result, PDT dose, when measured by the product of BPD concentration and fluence, does not reliably predict overall efficacy. A PDT dose metric that incorporates a term for BPD photobleaching more robustly predicts PDT efficacy at low concentrations of BPD. These results suggest that PDT dose metrics that are informed by implicit approaches to dosimetry could improve the reliability of PDT-based regimens and provide opportunities for patient-specific treatment planning.
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