Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2024, Vol. 38 ›› Issue (3): 124-129.doi: 10.6040/j.issn.1673-3770.0.2023.037

• Review • Previous Articles    

Advances in the pathological study of artificial intelligence in the lymph node metastasis of head and neck squamous cell carcinoma

XIE Yulin, LEI Dapeng   

  1. Department of Otorhinolaryngology, Qilu Hospital of Shandong University/National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, Shandong, China
  • Published:2024-06-04

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Abstract: Artificial intelligence(AI)has developed rapidly in the field of medicine and is widely used in the diagnosis and prognosis evaluation of diseases. Head and neck cancer is one of the most common malignant tumors in the world, most of which are squamous cell carcinoma. Cervical lymph node metastasis of head and neck squamous cell carcinoma(HNSCC)is an important prognostic factor. The accuracy of the assessment of cervical lymph node metastasis is highly dependent on clinical diagnosis and treatment. At present, many studies have been conducted to develop models that can be used to predict cervical lymph node metastasis of HNSCC, and different clinical and pathological parameters were used in these predictive models. In order to progress development, we need to determine the optimum method to analyze the clinical and pathological data of HNSCC patients in a more comprehensive manner, as well as establish a prediction model with better precision. In this paper, we describe the progress of AI in the field of pathology and discuss the current status of its use in HNSCC research. Additionally, we have conducted an in-depth consideration and prospect on building an accurate and efficient AI prediction model for HNSCC lymph node metastasis to continuously improve the diagnosis and treatment of HNSCC.

Key words: Artificial Intelligence, Head and neck squamous cell carcinoma, Lymph node metastasis

CLC Number: 

  • R739.63
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