Brazilian Journal of Otorhinolaryngology (English Edition)

ISSN: 1808-8694

The Brazilian Journal of Otorhinolaryngology aims to provide timely information for physicians and scientists focused on otorhinolaryngology and head and neck disorders, including contemporary, ethical, clinically relevant information in:

- General otolaryngology;
- Head and neck surgery;
- Respiratory sleep disorders;
- Allergy/rhinology;
- Otology/neurotology;
- Laryngology/broncho-esophagology;
- Pediatric otolaryngology;
- Cranio-facial surgery;
- Skull base surgery;
- Head and neck oncology;
- Phoniatrics;
- Upper airway related diseases;
- Facial plastics and reconstructive surgery.

The journal is the official peer-reviewed open access scientific publication of the Brazilian Association of Otorhinolaryngology and Cervicofacial Surgery (ABORL-CCF).

All articles will be published under the CC-BY license (Creative Commons Attribution 4.0 International) with copyright owned by the ABORL-CCF.

Please note that articles submitted as of May 1, 2022, which are accepted for publication will be subject to a fee (Article Publishing Charge, APC) payment by the author or research funder to cover the costs associated with publication.

Indexed in:

MEDLINE/PubMed, Scopus, Web of Science/SCIE, DOAJ, Lilacs, SciELO, Qualis A3

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Original article

Validation of a classification and scoring system for the diagnosis of laryngeal and pharyngeal squamous cell carcinomas by confocal laser endomicroscopy

Matti Sieverta, Konstantinos Mantsopoulosa, Sarina K. Muellera, Robin Ruppa, Markus Ecksteinb, Florian Stelzlec, Nicolai Oetterc, Andreas Maierd, Marc Aubrevillee, Heinrich Iroa, Miguel Goncalvesf,

Corresponding author

mgoncalves@ukaachen.de

Corresponding author.

a Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital, Department of Otorhinolaryngology, Head and Neck Surgery, Erlangen, Germany

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

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

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

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

f University Hospital Aachen, RWTH Aachen University, Department of Otorhinolaryngology, Head and Neck Surgery, Germany

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Article information

ISSN: 18088694
Original language: English

DOI:10.1016/j.bjorl.2021.06.002

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Year/Month	Html	Pdf	Total

2024 April	43	21	64
2024 March	32	35	67
2024 February	40	45	85
2024 January	39	50	89
2023 December	34	60	94
2023 November	56	67	123
2023 October	47	67	114
2023 September	47	99	146
2023 August	24	21	45
2023 July	35	41	76
2023 June	36	24	60
2023 May	43	33	76
2023 April	30	18	48
2023 March	57	38	95
2023 February	41	22	63
2023 January	23	21	44
2022 December	104	49	153
2022 November	61	25	86
2022 October	61	50	111
2022 September	33	59	92
2022 August	35	54	89
2022 July	32	43	75
2022 June	19	25	44
2022 May	24	30	54
2022 April	29	33	62
2022 March	33	48	81
2022 February	19	39	58
2022 January	34	34	68
2021 December	34	50	84
2021 November	32	61	93
2021 October	38	62	100
2021 September	38	48	86
2021 August	54	63	117
2021 July	9	11	20

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