Automatic detection of adenoid hypertrophy on lateral nasopharyngeal radiographs of children based on deep learning.

ABSTRACT:

Background

Adenoid hypertrophy is a prevalent cause of upper airway obstruction in children, potentially leading to various otolaryngological complications and even systemic sequelae. The lateral nasopharyngeal radiograph is routinely employed for the diagnosis of adenoid hypertrophy. This study aimed to evaluate the accuracy and reliability of deep learning, using lateral nasopharyngeal radiographs, for the diagnosis of adenoid hypertrophy in pediatric patients.

Methods

In the retrospective study, the lateral nasopharyngeal X-ray images were collected from children receiving therapy in the Children's Hospital of Soochow University, the 983th Hospital of Joint Logistics Support Forces of Chinese PLA and the Suzhou Wujiang District Children's Hospital from January 2023 to Nov

SUBMITTER: Guo W 

PROVIDER: S-EPMC11384431 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature