Penjweini Rozhin, Kim Michele M, Liu Baochang, Zhu Timothy C
University of Pennsylvania, School of Medicine, Department of Radiation Oncology, 3400 Civic Center Boulevard TRC 4W, Philadelphia, Pennsylvania, 19104, USA.
J Biophotonics. 2016 Dec;9(11-12):1344-1354. doi: 10.1002/jbio.201600121. Epub 2016 Sep 22.
Photodynamic therapy (PDT) is known as a non-invasive treatment modality that is based on photochemical reactions between oxygen, photosensitizer, and a special wavelength of light. However, a dosimetric predictor for PDT outcome is still elusive because current dosimetric quantities do not account for the differences in the PDT oxygen consumption rate for different fluence rates. In this study, we evaluate several dose metrics, total fluence, photobleaching ratio, PDT dose, and mean reacted singlet oxygen (mean [ O ] ) for predicting the PDT outcome and a clinically relevant tumor re-growth endpoint. For this reason, radiation-induced fibrosarcoma (RIF) mice tumors are treated with 2-(1-Hexyloxyethyl)-2-devinyl pyropheophorbide (HPPH) and different in-air fluences (30 J/cm , 50 J/cm , 135 J/cm , 250 J/cm , and 350 J/cm ) and in-air fluence rates (20, 50, 75, 150 mW/cm ). Explicit measurements of HPPH and oxygen concentration as well as tissue optical properties are performed pre- and post-treatment. Then, this information is incorporated into a macroscopic model to calculate the photobleaching, PDT dose, and mean [ O ] . Changes in tumor volume are tracked following the treatment and compared with the dose metrics. The correlation demonstrates that mean [ O ] serves as a better dosimetric quantity for predicting treatment outcome and a clinically relevant tumor re-growth endpoint.
光动力疗法(PDT)是一种基于氧气、光敏剂和特定波长光之间的光化学反应的非侵入性治疗方式。然而,由于当前的剂量学量没有考虑不同光通量率下PDT耗氧率的差异,PDT治疗结果的剂量学预测指标仍然难以捉摸。在本研究中,我们评估了几个剂量指标,即总光通量、光漂白率、PDT剂量和平均反应单线态氧(平均[O]),以预测PDT治疗结果和临床相关的肿瘤再生长终点。为此,用2-(1-己氧基乙基)-2-去乙烯基焦脱镁叶绿酸(HPPH)和不同的空气中光通量(30 J/cm²、50 J/cm²、135 J/cm²、250 J/cm²和350 J/cm²)以及空气中光通量率(20、50、75、150 mW/cm²)对辐射诱导的纤维肉瘤(RIF)小鼠肿瘤进行治疗。在治疗前后对HPPH和氧浓度以及组织光学特性进行明确测量。然后,将这些信息纳入宏观模型以计算光漂白、PDT剂量和平均[O]。治疗后跟踪肿瘤体积的变化,并与剂量指标进行比较。相关性表明,平均[O]作为预测治疗结果和临床相关肿瘤再生长终点的剂量学量更好。