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首页> 外文期刊>Photochemistry and Photobiology: An International Journal >Weather-informed Light-tissue Model-Based Dose Planning for Indoor Daylight Photodynamic Therapy
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Weather-informed Light-tissue Model-Based Dose Planning for Indoor Daylight Photodynamic Therapy

机译:基于天气通知的轻微组织模型的室内日光光学动力治疗剂量规划

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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-2: 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.
机译:与红色或蓝光激活相比,许多国家的皮肤病疗法的光动力治疗(PDT)的日光激活现在被广泛采用较小的疼痛和同样有效的处理机制。但是,季节性日光可用性和瞬态天气条件使光剂量估算复杂化。通过将光谱测量限制为一次性站点评估,介绍了一种剂量规划的方法,而不会对临床人员进行大量负担,然后使用自动获取的天气报告来跟踪瞬态条件。现场评估工具用于确定临床中心规划的阳光暴露的年度和日常变化的适当治疗位置。然后可以将从站点评估中收集的光谱信息与实时日常电子天气数据集成。结果表明,直接测量的光曝光具有强烈的相关性(R-2:0.87),卫星云覆盖数据和紫外线指数,表明自动化天气指标可以是用于日光PDT光学剂量的代理。这些更新的输入可用于剂量计划治疗模型,以估计组织深度的光动力剂量。一种简单的标准化方法,用于估计白天 - PDT期间的光剂量可以有助于改善交叉的再现性,同时最小化治疗时间。

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