1 南开大学现代光学研究所，天津市微尺度光学信息技术科学重点实验室，天津 300350
2 天津市口腔医院病理科，南开大学附属口腔医院病理科，天津 300041
3 天津市口腔医院口腔黏膜病科，南开大学附属口腔医院口腔黏膜病科，天津 300041
4 天津市口腔医院口腔颌面外科，南开大学附属口腔医院口腔颌面外科，天津 300041
目前，口腔黏膜病的筛查和诊断主要依靠临床医生的目视观察和触诊，组织病理学仍然是口腔癌诊断的金标准。目视观察、触诊和组织病理学方法都存在不同的局限性。近年来，随着影像学技术的不断发展，X射线计算层析、核磁共振、超声、荧光、光声、光学相干层析等技术逐渐被应用于口腔黏膜病的成像研究。不同影像学技术的成像原理、成像能力及性能各不相同，在口腔癌的筛查与诊断中可以发挥不同的优势，具有极大的临床应用潜力。本文主要总结了现有影像学技术在辅助口腔癌筛查和诊断中的研究进展，分析了它们的临床适用性，并预测了口腔癌筛查与诊断影像学技术未来的发展趋势。
医用光学 医学和生物成像 口腔癌 影像学技术 筛查 诊断 中国激光
2023, 50(15): 1507101
1 吉林省教育学院，吉林 长春 130022
2 吉林大学 仪器科学与电气工程学院 地球物理勘探装备教育部重点实验室，吉林 长春 130061
在现代医学中，核扫描、正电子发射断层扫描( Positron Emission Tomography, PET) 和磁共振成像(Magnetic Resonance Imaging, MRI)技术已被广泛应用于提供组织形态和功能信息。但是这些技术在分辨率或成像深度上各有缺点，而一种基于低相干干涉原理的新型光学检测技术则可以同时实现高分辨率和大深度成像，该技术称为光学相干层析成像技术(Optical Coherence Tomography，OCT)。OCT技术是一种将高纵向分辨率和高横向分辨率结合的非接触、非侵入、无损伤影像技术，可以实现与活体组织病理学观察相同的作用。OCT采用低能量的近红外光源作为探测光，并结合显微镜头、手持式探头或内窥镜等非损伤方式进行常规检测，不会对生物组织造成损伤。同时OCT结合发展迅速的图像采集分析处理技术，可实现实时三维成像，从中提取对诊断有用的信息进行定量分析，为医生的诊断提供便利。该综述重点介绍经典OCT成像技术及其相关医疗应用技术，如SD-OCT、SS-OCT、aOCT、PS-OCT和D-OCT，在呼吸系统、口腔、脑组织和肾脏等其他主要器官疾病检测中的应用。
光学相干层析成像 呼吸系统 气道疾病 口腔癌 optical coherence tomography respiratory system airway diseases oral cancer 红外与激光工程
2022, 51(10): 20210803
Author Affiliations
Abstract
1 Chilakapati Laboratory, ACTREC, TMC Kharghar, Navi Mumbai 410210, India
2 Head and Neck Surgical Oncology, Tata Memorial Hospital, Dr. E. Borges Road, Parel, Mumbai, Maharashtra- 400012, India
Oral cancers suffer from poor disease-free survival rates due to delayed diagnosis. Noninvasive, rapid, objective approaches as adjuncts to visual inspection can help in better management of oral cancers. Raman spectroscopy (RS) has shown potential in identification of oral premalignant and malignant conditions and also in the detection of early cancer changes like cancer-field-effects (CFE) at buccal mucosa subsite. Anatomic differences between different oral subsites have also been reported using RS. In this study, anatomical differences between subsites and their possible influence on healthy vs pathological classification were evaluated on 85 oral cancer and 72 healthy subjects. Spectra were acquired from buccal mucosa, lip and tongue in healthy, contralateral (internal healthy control), premalignant and cancer conditions using fiber-optic Raman spectrometer. Mean spectra indicate predominance of lipids in healthy buccal mucosa, contribution of both lipids and proteins in lip while major dominance of protein in tongue spectra. From healthy to tumor, changes in protein secondary-structure, DNA and heme-related features were observed. Principal component linear discriminant analysis (PC-LDA) followed by leave-one-out-crossvalidation (LOOCV) was used for data analysis. Findings indicate buccal mucosa and tongue are distinct entities, while lip misclassifies with both these subsites. Additionally, the diagnostic algorithm for individual subsites gave improved classification efficiencies with respect to the pooled subsites model. However, as the pooled subsites model yielded 98% specificity and 100% sensitivity, this model may be more useful for preliminary screening applications. Large-scale validation studies are a pre-requisite before envisaging future clinical applications.
Oral cancer screening in vivo Raman spectroscopy PC-LDA Journal of Innovative Optical Health Sciences
2016, 9(5): 1650017
用一种快速检测活体组织荧光光谱的技术,分析人口腔的恶性肿瘤、癌前病变、良性疾患和各种正常组织的氩激光激发自体荧光光谱,讨论以卟啉峰为特征诊断恶性肿瘤时,某些假阳性、假阴性病例产生的原因和鉴别的方法。
氩激光 口腔癌 自体荧光
