Impact of intraepithelial capillary loops and atypical vessels in confocal laser endomicroscopy for the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma.

Capillary loops Confocal laser endomicroscopy Head and neck malignancies Head and neck squamous cell carcinoma Malignant vascularization

Journal

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
ISSN: 1434-4726
Titre abrégé: Eur Arch Otorhinolaryngol
Pays: Germany
ID NLM: 9002937

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 04 05 2021
accepted: 21 06 2021
pubmed: 30 6 2021
medline: 22 3 2022
entrez: 29 6 2021
Statut: ppublish

Résumé

Confocal laser endomicroscopy (CLE) allows surface imaging of the laryngeal and pharyngeal mucosa in vivo at a thousand-fold magnification. This study aims to compare irregular blood vessels and intraepithelial capillary loops in healthy mucosa and squamous cell carcinoma (SCC) via CLE. We included ten patients with confirmed SCC and planned total laryngectomy in this study between March 2020 and February 2021. CLE images of these patients were collected and compared with the corresponding histology in hematoxylin and eosin staining. We analyzed the characteristic endomicroscopic patterns of blood vessels and intraepithelial capillary loops for the diagnosis of SCC. In a total of 54 sequences, we identified 243 blood vessels which were analyzed regarding structure, diameter, and Fluorescein leakage, confirming that irregular, corkscrew-like vessels (24.4% vs. 1.3%; P < .001), dilated intraepithelial capillary loops (90.8% vs. 28.7%; P < .001), and increased capillary leakage (40.7% vs. 2.5%; P < .001), are significantly more frequently detected in SCC compared to the healthy epithelium. We defined a vessel diameter of 30 μm in capillary loops as a cut-off value, obtaining a sensitivity, specificity, PPV, and NPV and accuracy of 90.6%, 71.3%, 57.4%, 94.7%, and 77.1%, respectively, for the detection of malignancy based solely on capillary architecture. Capillaries within malignant lesions are fundamentally different from those in healthy mucosa regions. The capillary architecture is a significant feature aiding the identification of malignant mucosa areas during in-vivo, real-time CLE examination.

Identifiants

pubmed: 34185145
doi: 10.1007/s00405-021-06954-8
pii: 10.1007/s00405-021-06954-8
pmc: PMC8930873
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2029-2037

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : GO 3182/2-1, MA 4898/17-1, OE 743/1-1, STE 1877/7-1

Informations de copyright

© 2021. The Author(s).

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Auteurs

Matti Sievert (M)

Department of Otorhinolaryngology, Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Waldstrasse 1, 91054, Erlangen, Germany. matti.sievert@uk-erlangen.de.

Markus Eckstein (M)

Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Erlangen, Germany.

Konstantinos Mantsopoulos (K)

Department of Otorhinolaryngology, Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Waldstrasse 1, 91054, Erlangen, Germany.

Sarina K Mueller (SK)

Department of Otorhinolaryngology, Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Waldstrasse 1, 91054, Erlangen, Germany.

Florian Stelzle (F)

Department of Maxillofacial Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Erlangen, Germany.

Marc Aubreville (M)

Institute of Image Understanding and Medical Application of Artificial Intelligence, Technische Hochschule, Ingolstadt, Germany.

Nicolai Oetter (N)

Department of Maxillofacial Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Erlangen, Germany.

Andreas Maier (A)

Pattern Recognition Lab, Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Heinrich Iro (H)

Department of Otorhinolaryngology, Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Waldstrasse 1, 91054, Erlangen, Germany.

Miguel Goncalves (M)

Department of Otorhinolaryngology, Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Waldstrasse 1, 91054, Erlangen, Germany.

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