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Reactive oxygen species explicit dosimetry to predict tumor growth for BPD-mediated vascular photodynamic therapy
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Paper Abstract

Photodynamic therapy (PDT) is a well-established treatment modality for cancer and other malignant diseases; however, quantities such as light fluence, photosensitizer photobleaching rate, and PDT dose do not fully account for all of the dynamic interactions between the key components involved. In particular, fluence rate (Φ) effects are not accounted for, which has a large effect on the oxygen consumption rate. In this preclinical study, reacted reactive oxygen species ([ROS]rx) was investigated as a dosimetric quantity for PDT outcome. The ability of [ROS]rx to predict the cure index (CI) of tumor growth, CI = 1 – k/kctr, where k and kctr are the growth rate of tumor under PDT study and the control tumor without PDT, respectively, for BPD-mediated PDT was examined. Mice bearing radioactively-induced fibrosarcoma (RIF) tumors were treated with different in-air fluences (22.5, 40, 45, 50, 70 and 100 J/cm2) and in-air Φ (75 and 150 mW/cm2) with a BPD dose of 1 mg/kg and a drug-light interval of 15 mins. Treatment was delivered with a collimated laser beam of 1 cm diameter at 690 nm. Explicit dosimetry of initial tissue oxygen concentration, tissue optical properties, and BPD concentration was used to calculate [1O2]rx. Φ was calculated for the treatment volume based on Monte-Carlo simulations and measured tissue optical properties. CI was used as an endpoint for four dose metrics: light fluence, photosensitizer photobleaching rate, PDT dose, and [ROS]rx. PDT dose was defined as the product of the time-integral of photosensitizer concentration and Φ at a 3 mm tumor depth. Preliminary studies show that [ROS]rx best correlates with CI and is an effective dosimetric quantity that can predict treatment outcome. The threshold dose for [ROS]rx is determined to be 0.12 mM and is about 8 times smaller than the corresponding value for conventional BPD-mediated PDT using DLI of 3 hrs.

Paper Details

Date Published: 7 March 2019
PDF: 9 pages
Proc. SPIE 10861, Mechanisms of Photobiomodulation Therapy XIV, 108610A (7 March 2019); doi: 10.1117/12.2514657
Show Author Affiliations
Tianqi Sheng, Univ. of Pennsylvania (United States)
YiHong Ong, Univ. of Pennsylvania (United States)
Theresa Busch, Univ. of Pennsylvania (United States)
Timothy C. Zhu, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 10861:
Mechanisms of Photobiomodulation Therapy XIV
Michael R. Hamblin; James D. Carroll; Praveen Arany, Editor(s)

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