Your browser doesn't support javascript.
loading
Validation of a classification and scoring system for the diagnosis of laryngeal and pharyngeal squamous cell carcinomas by confocal laser endomicroscopy
Sievert, Matti; Mantsopoulos, Konstantinos; Mueller, Sarina K.; Rupp, Robin; Eckstein, Markus; Stelzle, Florian; Oetter, Nicolai; Maier, Andreas; Aubreville, Marc; Iro, Heinrich; Goncalves, Miguel.
Afiliación
  • Sievert, Matti; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Otorhinolaryngology, Head and Neck Surgery. Erlangen. DE
  • Mantsopoulos, Konstantinos; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Otorhinolaryngology, Head and Neck Surgery. Erlangen. DE
  • Mueller, Sarina K.; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Otorhinolaryngology, Head and Neck Surgery. Erlangen. DE
  • Rupp, Robin; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Otorhinolaryngology, Head and Neck Surgery. Erlangen. DE
  • Eckstein, Markus; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Institute of Pathology. Erlangen. DE
  • Stelzle, Florian; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Maxillofacial Surgery. Erlangen. DE
  • Oetter, Nicolai; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Maxillofacial Surgery. Erlangen. DE
  • Maier, Andreas; Friedrich-Alexander-Universität Erlangen-Nürnberg. Pattern Recognition Lab. Computer Science. Erlangen. DE
  • Aubreville, Marc; Technische Hochschule. Institute of Image Understanding and Medical Application of Artificial Intelligence. Ingolstadt. DE
  • Iro, Heinrich; Friedrich-Alexander-Universität Erlangen-Nürnberg. University Hospital. Department of Otorhinolaryngology, Head and Neck Surgery. Erlangen. DE
  • Goncalves, Miguel; RWTH Aachen University. University Hospital Aachen. Department of Otorhinolaryngology, Head and Neck Surgery. DE
Braz. j. otorhinolaryngol. (Impr.) ; 88(supl.4): S26-S32, Nov.-Dec. 2022. tab, graf
Article en En | LILACS-Express | LILACS | ID: biblio-1420864
Biblioteca responsable: BR1.1
ABSTRACT
Abstract

Introduction:

Confocal laser endomicroscopy is an optical imaging technique that allows in vivo, real-time, microscope-like images of the upper aerodigestive tract's mucosa. The assessment of morphological tissue characteristics for the correct differentiation between healthy and malignant suspected mucosa requires strict evaluation criteria.

Objective:

This study aims to validate an eight-point score for the correct assessment of malignancy.

Methods:

We performed confocal laser endomicroscopy between March and October 2020 in 13 patients. 197 sequences (11.820 images) originated from the marginal area of pharyngeal and laryngeal carcinomas. Specimens were taken at corresponding locations and analyzed in H&E staining as a standard of reference. A total of six examiners evaluated the sequences based on a scoring system; they were blinded to the histopathological examination. The primary endpoints are sensitivity, specificity, and accuracy. Secondary endpoints are interrater reliability and receiver operator characteristics.

Results:

Healthy mucosa showed epithelium with uniform size and shape with distinct cytoplasmic membranes and regular vessel architecture. Confocal laser endomicroscopy of malignant cells demonstrated a disorganized arrangement of variable cellular morphology. We calculated an accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 83.2%, 81.3%, 85.5%, 86.7%, and 79.7%, respectively, with a κ-value of 0.64, and an area under the curve of 0.86.

Conclusion:

The results confirm that this scoring system is applicable in the laryngeal and pharyngeal mucosa to classify benign and malignant tissue. A scoring system based on defined and reproducible characteristics can help translate this experimental method to broad clinical practice in head and neck diagnosis.
Palabras clave

Texto completo: 1 Índice: LILACS Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Braz. j. otorhinolaryngol. (Impr.) Asunto de la revista: OTORRINOLARINGOLOGIA Año: 2022 Tipo del documento: Article / Project document

Texto completo: 1 Índice: LILACS Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Braz. j. otorhinolaryngol. (Impr.) Asunto de la revista: OTORRINOLARINGOLOGIA Año: 2022 Tipo del documento: Article / Project document