光学相干断层扫描口腔粘膜组织的结构验证。

Zaid Hamdoon, Waseem Jerjes, Raed Al-Delayme, Gordon McKenzie, Amrita Jay, Colin Hopper
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引用次数: 40

摘要

背景:光学相干断层扫描(OCT)是一种非侵入性光学技术,利用近红外光产生横向分辨率的横断面组织图像。目的:本研究的总体目的是生成口腔组织的规范和病理OCT数据库,以便识别正常和病理过程的细胞结构,目的是创建一种诊断算法,可用于口腔疾病的早期检测。材料和方法:73例78例可疑口腔病变患者转至伦敦UCLH头颈中心接受进一步治疗。整个队列的病变都进行了手术活检(切口或切除)。直接离体阶段涉及使用光学相干断层扫描标本。然后由组织病理学家对标本进行处理。本研究评估了五种组织结构,包括:角蛋白细胞层、上皮层、基底膜、固有层和其他显微解剖结构。两名独立的评估人员(临床医生和病理学家接受过使用OCT的培训)评估OCT图像,并被要求以非盲的方式对涉及五个组织结构的细胞结构和变化进行评论。结果:87%的队列患者能够正确识别角蛋白细胞层及其结构变化;上皮为93.5%,基底膜为94%。血管的显微解剖结构鉴定率为64%,唾液腺导管为58%,网状钉为89%。临床医生和病理学家之间的协议是“好的”。在这项即时离体研究中,OCT能够区分正常组织、病理组织和不同实体的病理组织。不幸的是,OCT提供的细胞和亚细胞信息不足,无法对口腔癌前病变进行分级。结论:本研究为建立正常和病理口腔组织OCT库奠定了基础。使用OCT识别的病理变化可以区分正常组织和病理组织,并识别不同的组织病理。需要进一步的研究来评估OCT在识别涉及口腔组织的各种病理过程中的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Structural validation of oral mucosal tissue using optical coherence tomography.

Background: Optical coherence tomography (OCT) is a non-invasive optical technology using near-infrared light to produce cross-sectional tissue images with lateral resolution.

Objectives: The overall aims of this study was to generate a bank of normative and pathological OCT data of the oral tissues to allow identification of cellular structures of normal and pathological processes with the aim to create a diagnostic algorithm which can be used in the early detection of oral disorders.

Material and methods: Seventy-three patients with 78 suspicious oral lesions were referred for further management to the UCLH Head and Neck Centre, London. The entire cohort had their lesions surgically biopsied (incisional or excisional). The immediate ex vivo phase involved scanning the specimens using optical coherence tomography. The specimens were then processed by a histopathologist. Five tissue structures were evaluated as part of this study, including: keratin cell layer, epithelial layer, basement membrane, lamina propria and other microanatomical structures. Two independent assessors (clinician and pathologist trained to use OCT) assessed the OCT images and were asked to comment on the cellular structures and changes involving the five tissue structures in non-blind fashion.

Results: Correct identification of the keratin cell layer and its structural changes was achieved in 87% of the cohort; for the epithelial layer it reached 93.5%, and 94% for the basement membrane. Microanatomical structures identification was 64% for blood vessels, 58% for salivary gland ducts and 89% for rete pegs. The agreement was "good" between the clinician and the pathologist. OCT was able to differential normal from pathological tissue and pathological tissue of different entities in this immediate ex vivo study. Unfortunately, OCT provided inadequate cellular and subcellular information to enable the grading of oral premalignant disorders.

Conclusion: This study enabled the creation of OCT bank of normal and pathological oral tissues. The pathological changes identified using OCT enabled differentiation between normal and pathological tissues, and identification of different tissue pathologies. Further studies are required to assess the accuracy of OCT in identification of various pathological processes involving the oral tissues.

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