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Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients.

Reza Fardanesh1, Sunitha B Thakur1,2, Varadan Sevilimedu3

  • 1Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.

Frontiers in Oncology
|March 14, 2022
PubMed
Summary
This summary is machine-generated.

This study determined apparent diffusion coefficient (ADC) values for benign versus malignant axillary lymph nodes. Mean ADC is the most effective parameter for differentiation, with an optimal threshold of 1.004×10⁻³ mm²/s.

Keywords:
MRIapparent diffusion coefficientbreast cancerdiffusion-weighted imaginglymph nodesprognostic factors

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Axillary lymph node status is critical in breast cancer staging.
  • Accurate differentiation between benign and malignant lymph nodes is essential for treatment planning.

Purpose of the Study:

  • To establish apparent diffusion coefficient (ADC) value ranges for benign and malignant axillary lymph nodes.
  • To determine optimal ADC thresholds for differentiating benign from malignant axillary lymph nodes using minimum, maximum, and mean ADC values.

Main Methods:

  • Retrospective analysis of breast MRI data from 217 patients (January 2017-December 2020).
  • Two-year follow-up imaging or histopathology used as the reference standard for lymph node status.
  • Statistical analysis including Wilcoxon rank sum test and Youden's Index to determine AUC and optimal thresholds.

Main Results:

  • Significant differences in all ADC parameters (p<0.001) between benign and malignant axillary lymph nodes.
  • Mean ADC showed the least overlap, indicating it as the most useful parameter.
  • An optimal mean ADC threshold of 1.004×10⁻³ mm²/s achieved 75% accuracy, 71% sensitivity, and 79% specificity.

Conclusions:

  • Mean ADC is a valuable parameter for differentiating benign from malignant axillary lymph nodes.
  • The established mean ADC threshold differs from the European Society of Breast Imaging (EUSOBI) threshold for breast tumors.
  • The EUSOBI threshold should not be directly applied to axillary lymph node evaluation.