Potential Utility of the Mallampati Score for Prediction of Treatment Compliance and Safety Profiles of Patients with Head and Neck Cancer Undergoing Definitive Concurrent Chemoradiotherapy

Po Hsu Su, Chih Chung Hsu, Shun Wen Hsueh, Chia Yen Hung, Kun Yun Yeh, Hung Ming Wang, Chang Hsien Lu, Yu Ching Lin, Joseph Tung Chieh Chang, Wen Chi Chou*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations

Abstract

Background/Aim: Restriction of mouth opening (RMO) is a common manifestation of head and neck cancer (HNC) and a poor prognostic factor following concurrent chemoradiotherapy (CCRT) of patients. This study aimed to explore whether the Mallampati score, a visual assessment of the distance from the tongue base to the roof of the mouth, can be used as a surrogate for RMO in predicting treatment outcomes in patients with HNC undergoing CCRT. Patients and Methods: A total of 461 consecutive patients who received definitive CCRT for the treatment of locally advanced HNC between August 2016 and December 2017 at Chang Gung Memorial Hospital in Taiwan (Linkou, Keelung, and Kaohsiung branches) were enrolled in this prospective study. Patients were allocated by the pre-treatment Mallampati score of 1 or 2 (n=24) vs. 3 or 4 (n=207) to compare treatment compliance and treatment-related complications.

Original languageEnglish
Pages (from-to)5609-5618
Number of pages10
JournalAnticancer Research
Volume42
Issue number11
DOIs
StatePublished - 11 2022

Bibliographical note

Publisher Copyright:
© 2022 International Institute of Anticancer Research. All rights reserved.

Keywords

  • Mallampati score
  • chemoradiotherapy
  • head and neck cancer
  • outcome
  • restricted mouth opening
  • trismus

Fingerprint

Dive into the research topics of 'Potential Utility of the Mallampati Score for Prediction of Treatment Compliance and Safety Profiles of Patients with Head and Neck Cancer Undergoing Definitive Concurrent Chemoradiotherapy'. Together they form a unique fingerprint.

Cite this