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手持式光纤探头实现口腔软组织光学相干断层成像。

A Handheld Fiber-Optic Probe to Enable Optical Coherence Tomography of Oral Soft Tissue.

出版信息

IEEE Trans Biomed Eng. 2022 Jul;69(7):2276-2282. doi: 10.1109/TBME.2022.3141241. Epub 2022 Jun 17.

Abstract

This study presents a highly miniaturized, handheld probe developed for rapid assessment of soft tissue using optical coherencetomography (OCT). OCT is a non-invasive optical technology capable of visualizing the sub-surface structural changes that occur in soft tissue disease such as oral lichen planus. However, usage of OCT in the oral cavity has been limited, as the requirements for high-quality optical scanning have often resulted in probes that are heavy, unwieldy and clinically impractical. In this paper, we present a novel probe that combines an all-fiber optical design with a light-weight magnetic scanning mechanism to provide easy access to the oral cavity. The resulting probe is approximately the size of a pen (10 mm × 140 mm) and weighs only 10 grams. To demonstrate the feasibility and high image quality achieved with the probe, imaging was performed on the buccal mucosa and alveolar mucosa during routine clinical assessment of six patients diagnosed with oral lichen planus. Results show the loss of normal tissue structure within the lesion, and contrast this with the clear delineation of tissue layers in adjacent inconspicuous regions. The results also demonstrate the ability of the probe to acquire a three-dimensional data volume by manually sweeping across the surface of the mucosa. The findings of this study show the feasibility of using a small, lightweight probe to identify pathological features in oral soft tissue.

摘要

本研究提出了一种高度微型化的手持式探头,用于使用光相干断层扫描(OCT)快速评估软组织。OCT 是一种非侵入性的光学技术,能够可视化发生在口腔扁平苔藓等软组织疾病中的亚表面结构变化。然而,由于对高质量光学扫描的要求,OCT 在口腔中的应用受到限制,因为这通常导致探头笨重、笨拙且在临床实践中不切实际。在本文中,我们提出了一种新颖的探头,它将全光纤设计与轻量级磁扫描机制相结合,可轻松进入口腔。该探头的尺寸约为一支笔(10 毫米×140 毫米),重量仅为 10 克。为了演示探头的可行性和获得的高质量图像,我们对六名被诊断为口腔扁平苔藓的患者进行常规临床评估时的颊黏膜和牙槽黏膜进行了成像。结果显示病变部位正常组织结构的丧失,并与相邻不明显区域中组织层的清晰轮廓形成对比。结果还表明,探头通过手动扫过黏膜表面可以获取三维数据体积。这项研究的结果表明,使用小型、轻便的探头来识别口腔软组织中的病理特征是可行的。

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