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Evaluation of the modified Pittsburgh classification for predicting the disease-free survival outcome of squamous cell carcinoma of the external auditory canal

  • Cindy H. Nabuurs
  • , Wietske Kievit
  • , Nilou Labbé
  • , C. René Leemans
  • , Conrad F.G.M. Smit
  • , Michiel W.M. van den Brekel
  • , Robert J. Pauw
  • , Bernard F.A.M. van der Laan
  • , Jeroen C. Jansen
  • , Martin Lacko
  • , Weibel W. Braunius
  • , Shinya Morita
  • , Małgorzata Wierzbicka
  • , Takuma Matoba
  • , Nobuhiro Hanai
  • , Robert P. Takes
  • , Henricus P.M. Kunst

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Background: Squamous cell carcinoma (SCC) of the external auditory canal (EAC) is a rare disease, which is commonly classified with the modified Pittsburgh classification. Our aim was to evaluate the predictive performance of this classification in relation to disease-free survival (DFS). Methods: We examined retrospective data from a nationwide Dutch cohort study including patients with primary EAC SCC. These data were combined with individual patient data from the literature. Using the combined data, the predictive performances were calculated using the c-index. Results: A total of 381 patients were included, 294 for clinical and 281 for the pathological classification analyses. The c-indices of the clinical and the pathological modified Pittsburgh classification predicting DFS were 0.725 (0.668-0.782) and 0.729 (0.672-0.786), respectively. Conclusion: The predictive performance of the modified Pittsburgh classification system as such appears to be acceptable to predict the DFS of EAC SCC. Other factors need to be added to a future model to improve the predicted performance.

Original languageEnglish
Pages (from-to)3609-3622
Number of pages14
JournalHead and Neck
Volume42
Issue number12
Early online date13 Aug 2020
DOIs
Publication statusPublished - Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 The Authors. Head & Neck published by Wiley Periodicals LLC.

Funding

The authors thank Gerjon Hannink, PhD, of the Department of Orthopedic Research Laboratory at Radboud University Medical Center for his assistance with statistical analysis. The authors thank Michael G. Moore MD, PhD (patient data coming from the Massachusetts Eye and Ear Infirmary, Boston MA), Luc G. T. Morris MD, MSc, Saral Mehra MD, MBA, Hirotaka Shinomiya MD, PhD, Hisashi Sugimoto MD, PhD, Wandee Khaimook MD and José L. Llorente MD, PhD, for their contribution by providing their individual patient data of their studies.

FundersFunder number
Michael G. Moore MD
Massachusetts Eye and Ear Infirmary
Japan Society for the Promotion of Science19K18779

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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