Skip to main content

ORIGINAL RESEARCH article

Front. Oncol.
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1388355

Prediction of right recurrent laryngeal nerve lymph nodes metastasis in esophageal cancer based on computed tomography imaging histology

Provisionally accepted
Xiaoli Huang Xiaoli Huang Shumin Jiang Shumin Jiang *Zhe Li Zhe Li *Xiong Lin Xiong Lin Zhipeng Chen Zhipeng Chen *Chao Hu Chao Hu *Jianbing He Jianbing He *Chun Yan Chun Yan *Hongbing Duan Hongbing Duan *Sun-Kui Ke Sun-Kui Ke *
  • Zhongshan Hospital, Xiamen University, Xiamen, China

The final, formatted version of the article will be published soon.

    This work aimed at finding the risk factors for metastasis of right recurrent laryngeal nerve lymph nodes (RRLNLN) based on the computed tomography (CT) imaging histology and the clinical data of esophageal squamous cell carcinoma (ESCC) patients, and further drawing a clinical prediction model. the model accuracy. In addition, the Bootstrap resampling method was employed to repeat sampling by 2000 times to draw calibration curves, and K-fold cross-validation method was used for internal validation of the prediction model.The RRLNLN lymph node metastasis rate was 17.3%. Four factors were obtained, namely Maximum2DDiameterSlice, Mean, Imc1, and Dependence Entropy.Further alignment diagrams were constructed, the AUC reached 0.938, and the C-index of internal validation achieved 0.904.The model has high predictive accuracy, and can provide guidance for the development of preoperative protocols.Text 1 *P <0.05 indicated that the difference was statistically significant. Table 3 10-fold cross-validation of the model for predicting RRLNLN metastasis *P <0.05 indicated that the difference was statistically significant.

    Keywords: esophageal cancer, right recurrent laryngeal nerve lymph nodes, computed tomography imaging histology, nomogram， Area Under Curve (AUC), CT

    Received: 03 Mar 2024; Accepted: 18 Nov 2024.

    Copyright: © 2024 Huang, Jiang, Li, Lin, Chen, Hu, He, Yan, Duan and Ke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Shumin Jiang, Zhongshan Hospital, Xiamen University, Xiamen, China
    Zhe Li, Zhongshan Hospital, Xiamen University, Xiamen, China
    Zhipeng Chen, Zhongshan Hospital, Xiamen University, Xiamen, China
    Chao Hu, Zhongshan Hospital, Xiamen University, Xiamen, China
    Jianbing He, Zhongshan Hospital, Xiamen University, Xiamen, China
    Chun Yan, Zhongshan Hospital, Xiamen University, Xiamen, China
    Hongbing Duan, Zhongshan Hospital, Xiamen University, Xiamen, China
    Sun-Kui Ke, Zhongshan Hospital, Xiamen University, Xiamen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.