Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol.
Sec. Thyroid Endocrinology
Volume 15 - 2024 | doi: 10.3389/fendo.2024.1461865

The Feasibility of Using a Multivariate Regression Model Incorporating Ultrasound Findings and Serum Markers to Predict Thyroid Cancer Metastasis

Provisionally accepted
Hong Li Hong Li Lanli Zhang Lanli Zhang Yanbing Wang Yanbing Wang Shengju Tong Shengju Tong Yang Shi Yang Shi Shengnan Lu Shengnan Lu Yanling Bu Yanling Bu *
  • The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China

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

    Objective: This study aimed to assess the viability of a multivariate regression model utilizing ultrasound findings and serum markers for predicting thyroid cancer metastasis. Methods: A retrospective analysis of 98 thyroid patients admitted from January 2022 to October 2022 was conducted to categorize them into a metastasis group (n=20) and a non-metastasis group (n=78) based on postoperative pathological results. Both groups underwent ultrasound examination and serum marker testing. Correlative analysis was performed to explore the association between various indicators and thyroid cancer metastasis. A multivariate regression model was developed, and receiver operating characteristic (ROC) curves were used to assess the predictive value of ultrasound findings, serum markers, and their combination for thyroid cancer metastasis. Results: Statistically significant differences were found in the levels of ultrasound findings and serum markers between the two groups. Nodule boundaries, presence or absence of halos, margins, lobulation, capsular invasion, surface smoothness, nodule aspect ratio, uric acid, total cholesterol, triglyceride, and LDL cholesterol levels were predictors of metastasis in thyroid cancer. The AUC value of 0.950 for the prediction of thyroid cancer metastasis by ultrasound signs combined with serologic indicators was significantly higher than 0.728 and 0.711 predicted by ultrasound signs or serologic indicators alone. Conclusion: The multivariate regression model incorporating ultrasound findings and serum markers enhances the predictive accuracy for thyroid cancer metastasis, offering essential guidance for early prediction and intervention in a clinical setting.

    Keywords: Ultrasound findings, Serum markers, thyroid cancer, distant metastasis, Multivariate regression model

    Received: 09 Jul 2024; Accepted: 21 Oct 2024.

    Copyright: © 2024 Li, Zhang, Wang, Tong, Shi, Lu and Bu. 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: Yanling Bu, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, 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.