Literature DB >> 29729029

Laryngeal precursor lesions: Interrater and intrarater reliability of histopathological assessment.

Camilla Slot Mehlum1, Stine Rosenkilde Larsen2, Katalin Kiss3, Aagot Moeller Groentved1, Thomas Kjaergaard4, Sören Möller5, Christian Godballe1.   

Abstract

OBJECTIVE: The World Health Organization classification (WHOC) 2017 of low-grade versus high-grade laryngeal dysplasia recently replaced the previous WHOC 2005 of mild, moderate, and severe dysplasia and carcinoma in situ. Our objectives were to compare the interrater agreement of the WHOC 2017 with that of the WHOC 2005 and to test the intra-rater agreement of the WHOC 2005.
METHODS: Two expert head and neck pathologists rated 211 tissue samples that were initially diagnosed with laryngeal precursor lesions. The samples were rated twice according to the WHOC 2005 and once according to the WHOC 2017; estimates of interrater and intrarater agreements were calculated with kappa statistics.
RESULTS: The crude intrarater agreements using the WHOC 2005 were 0.93 for rater 1 and 0.62 for rater 2. The corresponding unweighted kappa values were 0.90 (95% confidence interval [CI], 0.86-0.95) for rater 1 and 0.43 (95% CI, 0.35-0.54) for rater 2, whereas the standard linear weighted kappa values were 0.93 (95% CI, 0.90-0.97) for rater 1 and 0.60 (95% CI, 0.53-0.69) for rater 2. The crude interrater agreement for the WHOC 2005 was 0.57, with a corresponding unweighted kappa value 0.38 (95% CI, 0.31-0.48) and a standard linear weighted kappa value 0.52 (95% CI, 0.42-0.60). The crude interrater agreement for the WHOC 2017 was 0.83, with a corresponding unweighted kappa value 0.45 (95% CI, 0.31-0.59) and a standard linear weighted kappa value 0.46 (95% CI, 0.30-0.60).
CONCLUSION: Our results indicate difficulties in providing reliable diagnosis of laryngeal precursor lesions, even with experienced head and neck pathologists and the application of a newly revised classification system. LEVEL OF EVIDENCE: 4. Laryngoscope, 128:2375-2379, 2018.
© 2018 The American Laryngological, Rhinological and Otological Society, Inc.

Entities:  

Keywords:  Larynx; histopathology; precursor lesion; premalignant; reliability

Mesh:

Year:  2018        PMID: 29729029     DOI: 10.1002/lary.27228

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  5 in total

1.  Laryngeal Dysplasia: Persisting Dilemmas, Disagreements and Unsolved Problems-A Short Review.

Authors:  Nina Gale; Antonio Cardesa; Juan C Hernandez-Prera; Pieter J Slootweg; Bruce M Wenig; Nina Zidar
Journal:  Head Neck Pathol       Date:  2020-03-05

Review 2.  Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature.

Authors:  Nathan Blake; Riana Gaifulina; Lewis D Griffin; Ian M Bell; Geraint M H Thomas
Journal:  Diagnostics (Basel)       Date:  2022-06-17

Review 3.  Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.

Authors:  Hanya Mahmood; Muhammad Shaban; Nasir Rajpoot; Syed A Khurram
Journal:  Br J Cancer       Date:  2021-04-19       Impact factor: 9.075

Review 4.  Developing Classifications of Laryngeal Dysplasia: The Historical Basis.

Authors:  Henrik Hellquist; Alfio Ferlito; Antti A Mäkitie; Lester D R Thompson; Justin A Bishop; Abbas Agaimy; Juan C Hernandez-Prera; Douglas R Gnepp; Stefan M Willems; Pieter J Slootweg; Alessandra Rinaldo
Journal:  Adv Ther       Date:  2020-04-23       Impact factor: 3.845

Review 5.  European Laryngological Society position paper on laryngeal dysplasia Part II: diagnosis, treatment, and follow-up.

Authors:  Hans Edmund Eckel; Ricard Simo; Miquel Quer; Edward Odell; Vinidh Paleri; Jens Peter Klussmann; Marc Remacle; Elisabeth Sjögren; Cesare Piazza
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-10-14       Impact factor: 2.503

  5 in total

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