Thayer School of Engineering, Dartmouth College, Hanover, NH.
Department of Surgery, Geisel School of Medicine, Dartmouth College, Lebanon, NH.
Photochem Photobiol. 2020 Mar;96(2):320-326. doi: 10.1111/php.13170. Epub 2019 Oct 21.
Daylight activation for photodynamic therapy (PDT) of skin lesions is now widely adopted in many countries as a less painful and equally effective treatment mechanism, as compared to red or blue light activation. However, seasonal daylight availability and transient weather conditions complicate light dose estimations. A method is presented for dose planning without placing a large burden on clinical staff, by limiting spectral measurements to a one-time site assessment, and then using automatically acquired weather reports to track transient conditions. The site assessment tools are used to identify appropriate treatment locations for the annual and daily variations in sunlight exposure for clinical center planning. The spectral information collected from the site assessment can then be integrated with real-time daily electronic weather data. It was shown that a directly measured light exposure has strong correlation (R : 0.87) with both satellite cloud coverage data and UV index, suggesting that the automated weather indexes can be surrogates for daylight PDT optical dose. These updated inputs can be used in a dose-planning treatment model to estimate photodynamic dose at depth in tissue. A simple standardized method for estimating light dose during daylight-PDT could help improve intersite reproducibility while minimizing treatment times.
日光激活的光动力疗法（PDT）现在在许多国家被广泛采用，作为一种比红光或蓝光激活更无痛且同样有效的治疗机制。然而，季节性日光的可用性和短暂的天气条件使光剂量估计变得复杂。本文提出了一种无需给临床工作人员带来沉重负担的剂量规划方法，即限制光谱测量仅进行一次现场评估，然后使用自动获取的天气报告来跟踪短暂的天气条件。现场评估工具用于确定适当的治疗位置，以适应临床中心规划中日光暴露的年度和每日变化。然后，可以将从现场评估中收集的光谱信息与实时每日电子天气数据进行集成。结果表明，直接测量的光照度与卫星云覆盖率数据和紫外线指数都具有很强的相关性（R：0.87），这表明自动天气指标可以替代日光 PDT 光学剂量。这些更新的输入可以用于剂量规划治疗模型，以估计组织深处的光动力剂量。日光-PDT 期间估计光剂量的简单标准化方法有助于提高站点间的重现性，同时最大限度地减少治疗时间。
