Currently, local excision of choroidal melanoma primarily depends on the intraoperative visual assessment. To improve surgical precision, we employed multiphoton microscopy (MPM) to characterize the microstructural and spectral features of both normal tissue and tumor boundary. The spectral differences between normal choroid and tumor boundary were systematically analyzed using lambda mode MPM. Collagen parameters were quantified by combining with image processing techniques to elucidate the structural alterations of normal tissues and choroidal melanomas. The results of the study demonstrated that the MPM enables label-free identification of tumor boundary, with NADH molecular changes serving as a critical basis for qualitative differentiation. Furthermore, utilizing self-developed image processing algorithms, the alteration of collagen fiber provides a potential quantitative index for identifying the tumor boundary. This study confirms the capability of MPM in identifying tumor boundary. With the advancement of multiphoton endoscopes, it holds promise for providing precise intraoperative guidance during choroidal melanoma resection.
Shi et al. (Sun,) studied this question.