Outcome evaluation using an artificial intelligence‐based facial measurement software for facial nerve grafting in head and neck and skull base surgery

Author:

Hidaka Takeaki1ORCID,Tanaka Kentaro1ORCID,Mori Hiroki1

Affiliation:

1. Department of Plastic and Reconstructive Surgery, Graduate School of Medicine Tokyo Medical and Dental University Tokyo Japan

Abstract

AbstractBackgroundInterposition nerve grafting is an indispensable technique for facial nerve reconstruction in head and neck, and skull base surgery. The prognostic factors are inconclusive, partly due to limited objective assessment systems for facial nerve function. This study aimed to apply an artificial intelligence (AI)‐based facial asymmetry measurement system to assess facial nerve grafting outcomes.MethodsWe retrospectively reviewed data of 23 patients who underwent facial nerve grafting between 2011 and 2020. Oral asymmetry and synkinesis severity were measured using AI.ResultsOral movement recovered at 12–18 months postoperatively. Postoperative radiotherapy and a larger number of anastomosed distal stumps were significantly associated with poor and good final oral symmetry, respectively. Synkinesis severity was weakly correlated with the degree of oral movement recovery.ConclusionsOral function recovered without a strong correlation with synkinesis. Caution should be exercised in facial nerve grafting for cases with postoperative radiotherapy.

Publisher

Wiley

Subject

Otorhinolaryngology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancements in Skull Base Surgery: Navigating Complex Challenges with Artificial Intelligence;Indian Journal of Otolaryngology and Head & Neck Surgery;2023-12-20

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