根据光学相干断层扫描确定的平均灰度值区分健康口腔组织和口腔癌。
Discrimination of healthy oral tissue from oral cancer based on the mean grey value determined by optical coherence tomography.
发表日期：2024 Aug 27
作者：
Kangwei Zhou, Kaili Zheng, Li Huang, Xianglong Zheng, Canyang Jiang, Jianping Huang, Rihui Wang, Xin Ruan, Weicai Jiang, Wen Li, Qingliang Zhao, Lisong Lin
来源：
MOLECULAR & CELLULAR PROTEOMICS
摘要：
本研究旨在确定光学相干断层扫描 (OCT) 图像的定量指标，以区分肿瘤与周围组织。基于 OCT 测量，确定了 54 个人体组织样本（18 个癌组织、癌旁组织）的 432 个位置的平均灰度值。 ，以及正常组织）。通过苏木精和伊红染色（H
This study aimed to identify a quantitative index for optical coherence tomography (OCT) images to discriminate tumours from surrounding tissues.Based on OCT measurements, mean grey values were determined from 432 locations on fifty-four human tissue specimens (eighteen cancerous, para-cancerous, and normal tissues each). These results were histologically evaluated by hematoxylin and eosin staining (H&E).The mean grey values of oral squamous cell carcinoma (OSCC) measurements were significantly different from those of the surrounding healthy tissue (p value < 0.0001), with the former being higher. The sensitivity and specificity of detecting tumourous tissue using this approach were 93 and 94%, respectively.OCT as a non-invasive, real-time imaging method, correlates well with H&E pathological images. It can effectively distinguish squamous cell carcinoma from normal tissues with high sensitivity and specificity and is thus expected to assist and guide tumour margin evaluation.This discovery highlights the potential of OCT in the objective evaluation of tumour margin during surgery.© 2024. The Author(s).