Low-cost, ultracompact handheld optical coherence tomography probe for in vivo oral maxillofacial tissue imaging

Li, Kaiyan; Yang, Zihan; Liang, Wenxuan; Shang, Jun; Liang, Yanmei; Wan, Shui

doi:10.1117/1.jbo.25.4.046003

Cited by 24 publications

(18 citation statements)

References 46 publications

(46 reference statements)

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“…However, OCT probes published in the dental literature [22][23][24][25] tend to be impractical, heavy and unwieldy and may require an external mounting to hold them. Often, these systems have been adapted from other applications, such as external scanning of the skin.…”

Section: Introductionmentioning

confidence: 99%

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

Walther

Golde

Albrecht

et al. 2022

IEEE Trans. Biomed. Eng.

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This study presents a highly miniaturized, handheld probe developed for rapid assessment of soft tissue using optical coherence tomography (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 is 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.

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Section: Introductionmentioning

confidence: 99%

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

Walther

Golde

Albrecht

et al. 2022

IEEE Trans. Biomed. Eng.

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“…Compared with other imaging methods, OCT has advantages that make it more suitable for oral mucosal tissue imaging. In vivo early screening is also possible by using portable oral probes 35 . In addition, with the acceleration of real‐time OCT acquisition and the increasing number of data samples, it is very important for the direct analysis of OCT images.…”

Section: Discussionmentioning

confidence: 99%

“…The imaging range is 6 × 6 mm 2 . Details of the SS‐OCT system can be found in our previous work 34,35 …”

Section: Methodsmentioning

confidence: 99%

“…In vivo early screening is also possible by using portable oral probes. 35 In addition, with the acceleration of realtime OCT acquisition and the increasing number of data samples, it is very important for the direct analysis of OCT images. On this basis, an appropriate auxiliary diagnostic approach will improve the clinical outcome and the patients' prognosis recovery.…”

Section: F I G U R Ementioning

confidence: 99%

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Identification of oral precancerous and cancerous tissue by swept source optical coherence tomography

et al. 2021

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Background and Objectives: Distinguishing cancer from precancerous lesions is critical and challenging in oral medicine. As a noninvasive method, optical coherence tomography (OCT) has the advantages of real-time, in vivo, and large-depth imaging. Texture information hidden in OCT images can provide an important auxiliary effect for improving diagnostic accuracy. The aim of this study is to explore a reliable and accurate OCT-based method for the screening and diagnosis of human oral diseases, especially oral cancer. Materials and Methods: Fresh ex vivo oral tissues including normal mucosa, leukoplakia with epithelial hyperplasia (LEH), and oral squamous cell carcinoma (OSCC) were imaged intraoperatively by a homemade OCT system, and 58 texture features were extracted to create computational models of these tissues. A principal component analysis algorithm was employed to optimize the combination of texture feature vectors. The identification based on artificial neural network (ANN) was proposed and the sensitivity/specificity was calculated statistically to evaluate the classification performance. Results: A total of 71 sites of three types of oral tissues were measured, and 5176 OCT images of three types of oral tissues were used in this study. The superior classification result based on ANN was obtained with an average accuracy of 98.17%. The sensitivity and specificity of normal mucosa, LEH, and OSCC are 98.17% / 98.38%, 93.81% / 98.54%, and 98.11% / 99.04%, respectively. Conclusion: It is demonstrated from the high accuracies, sensitivities, and specificities that texture-based analysis can be used to identify oral precancerous and cancerous tissue in OCT images, and it has the potential to help surgeons in diseases screening and diagnosis effectively.

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“…The layout of the portable SS‐OCT system and its specifications used in the hospital for intraoperative scanning has been reported in our previous articles [21,37,38]. The swept‐source with the output spectral tuning range of 87 nm, centered at 1310 nm, is used, which can provide an output power of 20 mW and a sweep rate of 100 kHz.…”

Section: Methodsmentioning

confidence: 99%

Classification of Salivary Gland Tumors Based on Quantitative Optical Coherence Tomography

et al. 2021

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Background and Objectives Visual inspection is the primary diagnostic method for oral diseases, and its accuracy of diagnosis mainly depends on surgeons’ experience. Histological examination is still the golden standard, but it is invasive and time‐consuming. In order to address these issues, as a noninvasive imaging technique, optical coherence tomography (OCT) can differentiate oral tissue with advantages of real‐time, in situ, and high resolution. The aim of this study is to explore optimal quantitative parameters in OCT images to distinguish different salivary gland tumors. Study Design/Materials and Methods OCT images of four salivary gland tumors were obtained from 14 patients, including mucoepidermoid carcinoma (MC), adenoid cystic carcinoma (ACC), basal cell adenoma (BCA), and pleomorphic adenoma (PA). Two parameters of optical attenuation coefficient (OAC) and standard deviation (SD) along the depth of OCT signal were combined to create a computational model of classification, and sensitivity/specificity of classification was calculated statistically to evaluate their results. Results A total of 5,919 two‐dimensional (2D) OCT images were used for quantitative analysis. The classification sensitivities of 89.6%, 95.0%, 89.5%, 97.8%, and specificities of 97.6%, 99.0%, 98.0%, 98.2%, respectively, were obtained for MC, ACC, BCA, and PA, with the thresholds of 3.6 mm−1 based on OAC and 0.22/0.18 based on SD. Conclusion It was demonstrated that OAC and SD could be considered as important parameters in quantitative analysis of OCT images for salivary gland tissue characterization and intraoperative diagnosis. It is of great potential value in promoting the application of this method based on OCT in clinical practice. Lasers Surg. © 2020 Wiley Periodicals LLC

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Low-cost, ultracompact handheld optical coherence tomography probe for in vivo oral maxillofacial tissue imaging

Cited by 24 publications

References 46 publications

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

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

Identification of oral precancerous and cancerous tissue by swept source optical coherence tomography

Classification of Salivary Gland Tumors Based on Quantitative Optical Coherence Tomography

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