Kothe C, Münzenmayer C, Wittenberg T, Hess M
Poliklinik für Hör-, Stimm- und Sprachheilkunde, Universitätsklinikum Hamburg-Eppendorf, Hamburg.
Laryngorhinootologie. 2005 Feb;84(2):92-5. doi: 10.1055/s-2004-825805.
It is often difficult to distinguish leucoplakia from carcinoma or chronic laryngitis. In this study, we examined if color texture optical biopsies are able to detect leukoplakia reliably and to distinguish this from normal vocal fold tissue.
25 images from patients with a normal larynx and 25 images from patients with leucoplakia were analysed retrospectively. The images were recorded with a rigid 90 degrees -laryngoscope (Wolf Typ 4450.571) during a clinical setting and were recorded by a S-VHS-videorecorder. With a software program (InSegT), regions with leucoplakia, normal tissue and suspicious tissue were manually marked. Within each marked region, the use of color texture analysis numeric features were calculated to characterize the surface in texture and color. Color histogramms (HST), Sum- and Difference histogramms (S/D), Statistical Geometric Features (SGF) and Grey-Value-Dependent-Matrix (GLDM) were used.
29 women and 21 men (age 18 to 81 years, average of 53 years), who were examined in our clinic from 10/1999 - 8/2003, took part in this study.
The automatized classification for color texture analysis resulted in 71 % for leucoplakia and 97 % for normal tissue.
Optical biopsies can contribute to find the correct diagnosis. However, classification results must still get better when optical biopsies should be used in clinical practice.
白斑与癌或慢性喉炎常常难以区分。在本研究中，我们检测了颜色纹理光学活检是否能够可靠地检测出白斑，并将其与正常声带组织区分开来。
回顾性分析了25例正常喉部患者的图像和25例白斑患者的图像。这些图像是在临床检查期间用刚性90度喉镜（Wolf Typ 4450.571）采集的，并由一台S - VHS录像机记录。使用一个软件程序（InSegT），手动标记出白斑区域、正常组织区域和可疑组织区域。在每个标记区域内，计算颜色纹理分析数值特征的使用情况，以从纹理和颜色方面表征表面。使用了颜色直方图（HST）、和与差直方图（S/D）、统计几何特征（SGF）和灰度值相关矩阵（GLDM）。
1999年10月至2003年8月在我们诊所接受检查的29名女性和21名男性（年龄18至81岁，平均53岁）参与了本研究。
颜色纹理分析的自动化分类中，白斑的准确率为71%，正常组织的准确率为97%。
光学活检有助于做出正确诊断。然而，当光学活检应用于临床实践时，分类结果仍需进一步改善。
