Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052, Erlangen, Germany.
Erlangen Graduate School in Advanced Optical Technologies (SAOT), Paul-Gordan-Straße 6, 91052, Erlangen, Germany.
Sci Rep. 2022 Aug 30;12(1):14741. doi: 10.1038/s41598-022-18969-0.
The idea of laser surgery is nearly as old as the laser itself. From the first trials to modern laser surgery systems, it was and is the aim to selectively cut the tissue in the focus spot without causing harm to surrounding structures. This is only possible when the correct parameters for the surgical laser are chosen. Usually, this is done by parameter studies. However, the concrete evaluation scheme often differs between groups and more precise approaches require staining and microscopic evaluation. To overcome these issues, a macroscopic scoring system is presented and evaluated. It can be shown that the scoring system works well and, thus, a laser cut can be evaluated within a few seconds. At the same time, the whole cutting front is taken into account. The presented scoring system is evaluated by the intra class correlation (ICC). The final agreement between different raters is more than 0.7. Therefore, the scoring system can be used to optimize and evaluate the cutting process and it should be suitable for comparing the results between different groups. Definitely, it can be applied for scoring within a group to enable e.g., a profound statistical analysis for a parameter study.
激光手术的理念几乎与激光本身一样古老。从最初的试验到现代的激光手术系统，其目标一直是选择性地在焦点处切割组织，而不会对周围结构造成伤害。只有选择正确的手术激光参数才能实现这一点。通常，这是通过参数研究来完成的。然而，具体的评估方案在不同的组别之间往往有所不同，更精确的方法需要染色和显微镜评估。为了克服这些问题，提出并评估了一种宏观评分系统。结果表明，该评分系统效果良好，因此可以在几秒钟内评估激光切割。同时，整个切割前沿都被考虑在内。通过组内相关系数（ICC）对提出的评分系统进行评估。不同评分者之间的最终一致性超过 0.7。因此，该评分系统可用于优化和评估切割过程，并且应该适用于比较不同组别之间的结果。当然，它可以用于组内评分，例如，为参数研究进行深入的统计分析。
