Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju 61186, Korea.
Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Hwasun, Jeollanamdo 58128, Korea.
Sensors (Basel). 2021 Mar 4;21(5):1776. doi: 10.3390/s21051776.
Vascular damage is one of the therapeutic mechanisms of photodynamic therapy (PDT). In particular, short-term PDT treatments can effectively destroy malignant lesions while minimizing damage to nonmalignant tissue. In this study, we investigate the feasibility of label-free quantitative photoacoustic microscopy (PAM) for monitoring the vasculature changes under the effect of PDT in mouse ear melanoma tumors. In particular, quantitative vasculature evaluation was conducted based on Hessian filter segmentation. Three-dimensional morphological PAM and depth-resolved images before and after PDT treatment were acquired. In addition, five quantitative vasculature parameters, including the PA signal, vessel diameter, vessel density, perfused vessel density, and vessel complexity, were analyzed to evaluate the influence of PDT on four different areas: Two melanoma tumors, and control and normal vessel areas. The quantitative and qualitative results successfully demonstrated the potential of the proposed PAM-based quantitative approach to evaluate the effectiveness of the PDT method.
血管损伤是光动力疗法 (PDT) 的一种治疗机制。特别是,短期 PDT 治疗可以有效地破坏恶性病变,同时将对非恶性组织的损伤降到最低。在这项研究中,我们研究了无标记定量光声显微镜 (PAM) 在监测小鼠耳黑色素瘤肿瘤中 PDT 作用下的血管变化的可行性。特别是,基于Hessian 滤波器分割进行了定量血管评估。在 PDT 治疗前后获得了三维形态 PAM 和深度分辨图像。此外,分析了 5 个定量血管参数,包括 PA 信号、血管直径、血管密度、灌注血管密度和血管复杂性,以评估 PDT 对四个不同区域的影响:两个黑色素瘤肿瘤,以及对照和正常血管区域。定量和定性结果成功地证明了基于所提出的 PAM 的定量方法在评估 PDT 方法有效性方面的潜力。