Alekseeva Polina, Makarov Vladimir, Efendiev Kanamat, Shiryaev Artem, Reshetov Igor, Loschenov Victor
Prokhorov General Physics Institute, Russian Academy of Sciences, 119991 Moscow, Russia.
Department of Laser Micro-Nano and Biotechnologies, Institute of Engineering Physics for Biomedicine, National Research Nuclear University MEPhI, 115409 Moscow, Russia.
Cancers (Basel). 2024 Jul 8;16(13):2484. doi: 10.3390/cancers16132484.
Despite the widespread use of photodynamic therapy in clinical practice, there is a lack of personalized methods for assessing the sufficiency of photodynamic exposure on tumors, depending on tissue parameters that change during light irradiation. This can lead to different treatment results. The objective of this article was to conduct a comprehensive review of devices and methods employed for the implicit dosimetric monitoring of personalized photodynamic therapy for tumors. The review included 88 peer-reviewed research articles published between January 2010 and April 2024 that employed implicit monitoring methods, such as fluorescence imaging and diffuse reflectance spectroscopy. Additionally, it encompassed computer modeling methods that are most often and successfully used in preclinical and clinical practice to predict treatment outcomes. The Internet search engine Google Scholar and the Scopus database were used to search the literature for relevant articles. The review analyzed and compared the results of 88 peer-reviewed research articles presenting various methods of implicit dosimetry during photodynamic therapy. The most prominent wavelengths for PDT are in the visible and near-infrared spectral range such as 405, 630, 660, and 690 nm. The problem of developing an accurate, reliable, and easily implemented dosimetry method for photodynamic therapy remains a current problem, since determining the effective light dose for a specific tumor is a decisive factor in achieving a positive treatment outcome.
尽管光动力疗法在临床实践中得到了广泛应用，但目前仍缺乏个性化的方法来评估肿瘤光动力照射的充分性，这取决于光照过程中会发生变化的组织参数。这可能导致不同的治疗结果。本文的目的是对用于肿瘤个性化光动力疗法隐式剂量监测的设备和方法进行全面综述。该综述纳入了2010年1月至2024年4月期间发表的88篇采用隐式监测方法（如荧光成像和漫反射光谱）的同行评议研究文章。此外，还涵盖了在临床前和临床实践中最常且成功用于预测治疗结果的计算机建模方法。利用互联网搜索引擎谷歌学术和Scopus数据库搜索相关文献。该综述分析并比较了88篇同行评议研究文章的结果，这些文章展示了光动力疗法期间各种隐式剂量测定方法。光动力疗法最突出的波长在可见光和近红外光谱范围内，如405、630、660和690纳米。由于确定特定肿瘤的有效光剂量是实现积极治疗结果的决定性因素，因此开发一种准确、可靠且易于实施的光动力疗法剂量测定方法的问题仍然是当前的一个难题。
