Discrimination of superficial lymph nodes using ultrasonography and tissue metabolomics coupled with machine learning.

ABSTRACT:

Introduction

Diagnosing the types of malignant lymphoma could help determine the most suitable treatment, anticipate the probability of recurrence and guide long-term monitoring and follow-up care.

Methods

We evaluated the differences in benign, lymphoma and metastasis superficial lymph nodes using ultrasonography and tissue metabolomics.

Results

Our findings indicated that three ultrasonographic features, blood supply pattern, cortical echo, and cortex elasticity, hold potential in differentiating malignant lymph nodes from benign ones, and the shape and corticomedullary boundary emerged as significant indicators for distinguishing between metastatic and lymphoma groups. Metabolomics revealed the difference in metabolic profiles among lymph nodes. We observed signifi

SUBMITTER: Li L 

PROVIDER: S-EPMC11810734 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature