Intraoperative free margins assessment of oropharyngeal squamous cell carcinoma with confocal laser endomicroscopy: a pilot study.


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:
Nov 2021
Historique:
received: 03 11 2020
accepted: 29 01 2021
pubmed: 15 2 2021
medline: 6 10 2021
entrez: 14 2 2021
Statut: ppublish

Résumé

This pilot study aimed to assess the feasibility of intraoperative assessment of safe margins with confocal laser endomicroscopy (CLE) during oropharyngeal squamous cell carcinoma (OPSCC) surgery. We included five consecutive patients confirmed OPSCC and planned tumor resection in September and October 2020. Healthy appearing mucosa in the marginal zone, and the tumor margin, were examined with CLE and biopsy during tumor resection. A total of 12,809 CLE frames were correlated with the gold standard of hematoxylin and eosin staining. Three head and neck surgeons and one pathologist were asked to identify carcinoma in a sample of 169 representative images, blinded to the histological results. Healthy mucosa showed epithelium with uniform size and shape with distinct cytoplasmic membranes and regular vessel architecture. CLE optical biopsy of OPSCC demonstrated a disorganized arrangement of variable cellular morphology. We calculated an accuracy, sensitivity, specificity, PPV, and NPV of 86%, 90%, 79%, 88%, and 82%, respectively, with inter-rater reliability and κ-value of 0.60. CLE can be easily integrated into the intraoperative setting, generate real-time, in-vivo microscopic images of the oropharynx for evaluation and demarcation of cancer. It can eventually contribute to a less radical approach by enabling a more precise evaluation of the cancer margin.

Identifiants

pubmed: 33582849
doi: 10.1007/s00405-021-06659-y
pii: 10.1007/s00405-021-06659-y
pmc: PMC8486707
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4433-4439

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : GO 3182/2-1
Organisme : Deutsche Forschungsgemeinschaft
ID : MA 4898/17-1
Organisme : Deutsche Forschungsgemeinschaft
ID : OE 743/1-1
Organisme : Deutsche Forschungsgemeinschaft
ID : 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, University Hospital, University of Erlangen-Nuremberg, Germany, Waldstrasse 1, 91054, Erlangen, Germany. matti.sievert@uk-erlangen.de.

Florian Stelzle (F)

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

Marc Aubreville (M)

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

Sarina K Mueller (SK)

Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, University of Erlangen-Nuremberg, Germany, Waldstrasse 1, 91054, Erlangen, Germany.

Markus Eckstein (M)

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

Nicolai Oetter (N)

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

Andreas Maier (A)

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

Konstantinos Mantsopoulos (K)

Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, University of Erlangen-Nuremberg, Germany, Waldstrasse 1, 91054, Erlangen, Germany.

Heinrich Iro (H)

Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, University of Erlangen-Nuremberg, Germany, Waldstrasse 1, 91054, Erlangen, Germany.

Miguel Goncalves (M)

Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, University of Erlangen-Nuremberg, Germany, Waldstrasse 1, 91054, Erlangen, Germany.

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Classifications MeSH