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Vocal Fold Leukoplakia: Which of the Classifications of White Light and Narrow Band Imaging Most Accurately Predicts Laryngeal Cancer Transformation? Proposition for a Diagnostic Algorithm

机译:Pocal Fold Leukoplakia:白光和窄带成像的哪种分类最准确地预测喉癌转化?诊断算法的命题

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摘要

The management of Vocal Fold Leukoplakia, especially distinguishing malignant leukoplakia and early glottic carcinoma from benign lesions pose a challenge for laryngologists. In this two-center study we have attempted to select the most accurate classification for predicting low- and high-risk Vocal Fold Leukoplakia in White Light Imaging and Narrow Band Imaging and to establish a diagnostic algorithm with a timely referral for treatment. We have shown that both the plaque image and the microvascular pattern on the leukoplakia periphery are critical in the diagnosis of high-risk Vocal Fold Leukoplakia. The proposed algorithm combines both imaging techniques to show the added value of Narrow Band Imaging and indicates the solution for non-users.
机译:声带Leukoplakia的管理,特别是区分恶性白斑和早期喇叭癌的良性病变对喉科学家构成挑战。在这项双中心研究中,我们试图选择预测白光成像和窄带成像的低风险和高风险声折白斑的最准确分类,并用及时推荐治疗诊断算法。我们已经表明,Leukoplakia外围的斑块图像和微血管模式都在高风险的声带Leukoplakia的诊断中至关重要。所提出的算法结合了成像技术来显示窄带成像的附加值,并指示非用户的解决方案。

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