Department of Oral and Maxillofacial Pathology, Chettinad Dental Collage and Research Institute, Chennai, India.
Asian Pac J Cancer Prev. 2022 Aug 1;23(8):2829-2834. doi: 10.31557/APJCP.2022.23.8.2829.
To evaluate the efficacy of artificial intelligence-based analysis of polychromatic staining in oral premalignant and malignant lesions and to predict their biological behavior. The study also aims to evaluate the prognostic value of collagen in these oral lesions.
In this study, a total of 45 histopathologically diagnosed normal (15), Premalignant lesions (n-15), and oral squamous cell carcinoma (n=15) were included. The tissue sections were subjected to routine Hematoxylin and Eosin (H and E) staining and a differential staining technique- Herovici's stain. The stained slides were viewed under 10x magnification in the microscope and images of these sections were captured. The images were labelled, transferred and stored in the computer for image analysis. The collagen content in the photomicrographs were analysed using Image J software. The results were tabulated and subjected to Kruskal- Wallis test using the SPSS software.
A significant increase in the amount of type III (blue stained) collagen fibers, compared to type I collagen fibers, was seen as the lesion progressed from premalignant disorders to oral squamous cell carcinoma. Normal mucosa showed predominantly type I (red stained) collagen fibers. The difference in the ratio of type I and III collagen fibers between the three groups was found to be statistically significant (P= 0.00).
The study concluded that a significant change in stromal collagen composition exists, with an increase in the amount of type III collagen, that can be correlated to the lesion's progression from premalignant to oral squamous cell carcinoma. Differential staining is an inexpensive and highly reproducible method of evaluating the composition of the stroma and using Image analysis to carry out this analysis makes the process more objective and renders it bias free.
评估基于人工智能的多色染色分析在口腔癌前病变和恶性病变中的疗效，并预测其生物学行为。本研究还旨在评估胶原在这些口腔病变中的预后价值。
本研究共纳入 45 例经组织病理学诊断为正常（15 例）、癌前病变（n=15）和口腔鳞状细胞癌（n=15）的患者。组织切片分别进行常规苏木精和伊红（H&E）染色和 Herovici 染色的差异染色技术。在显微镜下用 10x 放大倍数观察染色载玻片，并拍摄这些切片的图像。将图像进行标记、转移和存储在计算机中进行图像分析。使用 Image J 软件分析照片中的胶原含量。将结果制表并使用 SPSS 软件进行 Kruskal-Wallis 检验。
随着病变从癌前病变进展为口腔鳞状细胞癌，与 I 型胶原纤维相比，III 型（蓝色染色）胶原纤维的数量显著增加。正常黏膜主要显示 I 型（红色染色）胶原纤维。三组间 I 型和 III 型胶原纤维比值的差异具有统计学意义（P=0.00）。
研究表明，基质胶原组成发生了显著变化，III 型胶原的含量增加，这与病变从癌前病变进展为口腔鳞状细胞癌有关。差异染色是评估基质组成的一种廉价且高度可重复的方法，使用图像分析来进行这种分析使过程更加客观，并且没有偏见。
