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Updated: May 21, 2026

Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells
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Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells

Published on: May 20, 2020

Characterizing the major sonographic textural difference between metastatic and common benign lymph nodes using

Shao-Jer Chen1, Chun-Hung Lin, Chuan-Yu Chang

  • 1Department of Medical Imaging, Buddhist Dalin Tzu Chi General, Hospital, Chia-Yi, Taiwan, ROC.

Clinical Imaging
|June 26, 2012
PubMed
Summary

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Ultrasound texture analysis accurately distinguishes metastatic from benign lymph nodes using entropy and sum average features. This improves lymph node biopsy targeting and management strategies.

Area of Science:

  • Medical Imaging
  • Oncology
  • Pathology

Background:

  • Sonographic texture analysis offers insights into lymph node histopathology.
  • Differentiating metastatic from benign lymph nodes is crucial for biopsy targeting and treatment planning.

Purpose of the Study:

  • To evaluate the effectiveness of sonographic texture analysis in classifying metastatic versus benign lymph nodes.
  • To identify key texture features for accurate lymph node characterization using ultrasound.

Main Methods:

  • Analysis of 107 metastatic and 174 benign lymph node regions of interest (ROIs) across two ultrasound systems.
  • Extraction of thirteen texture features from co-occurrence matrices for ROI characterization.
  • Utilized Support Vector Machine (SVM) for classification and feature selection.

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High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes
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High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes

Published on: July 25, 2015

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Last Updated: May 21, 2026

Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells
08:54

Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells

Published on: May 20, 2020

High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes
10:02

High-frequency Ultrasound Imaging of Mouse Cervical Lymph Nodes

Published on: July 25, 2015

Main Results:

  • Entropy achieved high cross-validation accuracy (94.66% and 87.73%) for differentiating lymph node types.
  • Combined entropy and sum average features increased accuracy to 97.86% and 100%.
  • Metastatic lymph nodes exhibited significantly higher entropy and sum average values compared to benign nodes.

Conclusions:

  • Sonographic texture analysis, particularly using entropy and sum average, is a highly effective method for distinguishing metastatic from benign lymph nodes.
  • These findings support the use of ultrasound texture analysis to guide lymph node biopsy and inform patient management strategies.