Visualization of dose parameters and efficacy prediction in vascular-targeted photodynamic therapy based on a hyperspectral imaging system
Year: 2025
Type: article
Abstract: Vascular-targeted photodynamic therapy (V-PDT) is a promising treatment for benign vascular proliferative disorders. However, its efficacy largely depends on clinicians’ experience due to the lack of reliable methods for efficacy prediction. To provide an objective prediction approach, a hyperspectral imaging (HSI) system was developed to achieve real-time, non-invasive visualization of V-PDT dose parameters, including photosensitizer distribution, oxygen concentration, and vasoconstriction. Based on these measurements, we proposed a photodynamic therapy efficacy prediction index (PEPI)—a new metric that integrates the dynamic changes of both photosensitizer and oxygen throughout the treatment process, thereby providing critical insights for optimizing treatment protocols. Experimental results obtained in vivo using a dorsal skinfold window model demonstrate that the system accurately detects V-PDT dose parameters, and the proposed efficacy prediction parameters exhibit a strong positive correlation with treatment outcomes. This work highlights the potential of hyperspectral imaging to advance V-PDT toward more precise, individualized, and effective clinical applications, paving the way for its broader adoption in the field of precision medicine.
Source: Biomedical Optics Express
DOI: 10.1364/boe.577655
Authors: Rongrui Zhang, Jing Wang, Shasha Wang, Jing Liu, Yawen Wang, Junduo Liu, Jing Lv, Jingrui Zhao, Lei Fu, Qiangzhou Rong, Weihui Zeng, Cuiping Yao
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,913
Awards: G7353716728, G7674545501
OpenAlex ID: W4415021655
