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ORIGINAL RESEARCH article

Front. Cell Dev. Biol.
Sec. Cancer Cell Biology
Volume 12 - 2024 | doi: 10.3389/fcell.2024.1431883
This article is part of the Research Topic Perspectives on Omics Analysis in Solid Tumors: Advancing Cancer Research View all 8 articles

Diagnostic value of multimodal ultrasound for breast cancer and prediction of sentinel lymph node metastases

Provisionally accepted
Hui Li Hui Li 1Lixia Chen Lixia Chen 1Meikuai Liu Meikuai Liu 1Meng Bao Meng Bao 1Quanbo Zhang Quanbo Zhang 2Shihao Xu Shihao Xu 1*
  • 1 Department of Ultrasound Imaging, The First Affiliated Hospitalof Wenzhou Medical University, Wenzhou, China
  • 2 Department of Pathology, The First Affiliated Hospitalof Wenzhou Medical University, Wenzhou, China

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

    Background: Sentinel lymph node metastasis (SLNM) is a critical factor in the prognosis and treatment planning for breast cancer (BC), as it indicates the potential spread of cancer to other parts of the body. Accurate prediction and diagnosis of SLNM are essential for improving clinical outcomes and guiding treatment decisions. Objective: This study aimed to construct a Lasso regression model by integrating multimodal ultrasound techniques, including ultrasound (US), shear-wave elastography (SWE), and contrast-enhanced ultrasound (CEUS), to improve the predictive accuracy of SLNM in BC and provide more precise guidance for clinical treatment. Results: A total of 253 eligible samples were screened, of which 148 were Group benign and 105 were Group malignant. There were statistically significant differences (P<0. 05) between Group malignant patients in terms of Age, Palpable mass, BMI, Distance to nipple, maximum diameter, Blood flow, Echogenicity, 2D Border, 2D morphology and Internal homogeneity were statistically different compared with Group benign (P<0. 05). The Lasso regression model was useful in the diagnosis of benign and malignant BC nodules. with an AUC of 0. 968 and in diagnosing SLNM with an AUC of 0. 832. Conclusion: In this study, we successfully constructed and validated a Lasso regression model based on the multimodal ultrasound technique for predicting whether LNM occurs in BCS, showing high diagnostic accuracy.

    Keywords: breast cancer, Multimodal ultrasound, Lymph node metastases, LASSO regression, Shear-wave elastography, contrast-enhanced ultrasound

    Received: 13 May 2024; Accepted: 30 Jul 2024.

    Copyright: © 2024 Li, Chen, Liu, Bao, Zhang and Xu. 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: Shihao Xu, Department of Ultrasound Imaging, The First Affiliated Hospitalof Wenzhou Medical University, Wenzhou, 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.