Suppr超能文献

Laser scanning microscopy of the human larynx mucosa: a preliminary, ex vivo study.

作者信息

Just Tino, Stave Joachim, Boltze Carsten, Wree Andreas, Kramp Burkhard, Guthoff Rudolf F, Pau Hans Wilhelm

机构信息

Department of Otorhinolaryngology, the Institute for Pathology, University of Rostock, Rostock, Germany.

出版信息

Laryngoscope. 2006 Jul;116(7):1136-41. doi: 10.1097/01.mlg.0000217529.53079.59.

Abstract

OBJECTIVE

Laser scanning microscopy (LSM) supplies in vivo information from epithelia up to depths between 0.1 to 0.5 mm. The aim of this ex vivo prospective pilot study was to investigate the potential use of LSM for the diagnosis of laryngeal cancer and its precursors.

METHODS

Forty-three larynx specimens of 26 patients (age 35-61 years, mean age 51.9+/-9.5 years; 7 women and 19 men) with laryngeal lesions were investigated with LSM. The LSM findings were compared with histopathologic sections. The following criteria were used for characterization of cancerous lesions: enlarged nuclei, enlarged cells with variable shapes, cluster of cells, increased nucleus/cytoplasm ratio, irregular cell architecture, and loss of cellular junctions characterized by lack of visualization of the cell membrane.

RESULTS

LSM enables the visualization of epithelium up to the basement membrane, Reincke space, the subepithelial vessels, and the fibers of the subepithelial space. In contrast to the squamous epithelium, the respiratory epithelium bears kinocilia. The beat of the cilia and the directed mucous transport can be observed ex vivo. With the use of the presented malignancy criteria, a sensitivity of 72.7% and a specificity of 82.9% for differentiation of dysplasia and benign laryngeal lesions from cancer were reached.

CONCLUSIONS

LSM in an ex vivo manner supplies microscopic images up to the subepithelial space. LSM could represent a new technology in laryngology to visualize larynx epithelia. In the next step, in vivo LSM will be applied to evaluate laryngeal lesion in vivo.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验