Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach
Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach
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DOI：
10.3390/s20144018
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发表时间：
2020-07-01
期刊：
影响因子：
3.9
通讯作者：
Friebe, Michael
中科院分区：
文献类型：
--
作者：
Esmaeili, Nazila;Illanes, Alfredo;Friebe, Michael
声带血管的纵向和垂直变化与喉良性和恶性病变的发生有关。接触式内窥镜（CE）与窄带成像（NBI）相结合，可提供术中喉粘膜血管变化的实时可视化。然而，CE-NBI图像中血管模式的视觉评估具有挑战性，高度依赖于临床医生的经验。目前的研究旨在评估和比较基于CE-NBI图像中血管模式的手动和自动喉部病变分类方法的性能。在人工方法中，六名观察员目视评估属于患者的一系列CE+NBI图像，然后将患者分类为良性或恶性。在自动分类方面，采用基于表征血管紊乱程度的算法结合四种监督分类器对CE-NBI图像进行分类。结果表明，采用基于计算机的方法可以减少人工方法的主观评价。此外，自动方法显示了在临床医生之间存在分歧的情况下作为辅助系统工作的潜力，并减少了手动方法的错误分类问题。
Longitudinal and perpendicular changes in the vocal fold's blood vessels are associated with the development of benign and malignant laryngeal lesions. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) can provide intraoperative real-time visualization of the vascular changes in the laryngeal mucosa. However, the visual evaluation of vascular patterns in CE-NBI images is challenging and highly depends on the clinicians' experience. The current study aims to evaluate and compare the performance of a manual and an automatic approach for laryngeal lesion's classification based on vascular patterns in CE-NBI images. In the manual approach, six observers visually evaluated a series of CE+NBI images that belong to a patient and then classified the patient as benign or malignant. For the automatic classification, an algorithm based on characterizing the level of the vessel's disorder in combination with four supervised classifiers was used to classify CE-NBI images. The results showed that the manual approach's subjective evaluation could be reduced by using a computer-based approach. Moreover, the automatic approach showed the potential to work as an assistant system in case of disagreements among clinicians and to reduce the manual approach's misclassification issue.