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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Utility of diffusion tensor imaging in differentiating benign from malignant thyroid nodules.

Ahmed El-Morsy1, Ali H Elmokadem1, Ahmed Abdel Razek1

  • 1Department of Radiology, Mansoura University, Mansoura, Egypt.

The Neuroradiology Journal
|June 12, 2024
PubMed
Summary

Diffusion tensor imaging (DTI) effectively distinguishes benign from malignant thyroid nodules. This non-invasive technique measures mean diffusivity (MD) and fractional anisotropy (FA) for accurate differentiation.

Keywords:
Diffusion tensor imagingcancermagnetic resonance imagingthyroid

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Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Thyroid nodules are common, and differentiating benign from malignant types is crucial for patient management.
  • Accurate diagnosis of thyroid nodules impacts treatment decisions and patient outcomes.
  • Current diagnostic methods may have limitations, necessitating advanced imaging techniques.

Purpose of the Study:

  • To evaluate the efficacy of diffusion tensor imaging (DTI) in differentiating benign from malignant thyroid nodules.
  • To assess the diagnostic performance of DTI parameters, specifically mean diffusivity (MD) and fractional anisotropy (FA).

Main Methods:

  • A retrospective analysis of 55 patients with thyroid nodules who underwent DTI.
  • Measurement of MD and FA values within thyroid nodules using region of interest (ROI) by two independent observers.
  • Pathological examination served as the gold standard for final diagnosis (benign vs. malignant).

Main Results:

  • Benign nodules exhibited significantly higher mean MD (p < .001) and lower mean FA (p < .001) compared to malignant nodules.
  • Established cut-off values for MD (1.45-1.50 × 10-3mm²/s) and FA (≤0.32-0.33) demonstrated high areas under the curve (AUC) for differentiation (0.926-0.937 for MD, 0.877-0.881 for FA).
  • Combined MD and FA values achieved an AUC of 0.932 with 87% accuracy, showing excellent inter-observer agreement (K = 0.939 for FA, 0.929 for MD).

Conclusions:

  • Diffusion tensor imaging (DTI) is a valuable non-invasive tool for differentiating benign from malignant thyroid nodules.
  • DTI parameters, MD and FA, provide quantitative metrics that aid in distinguishing nodule types.
  • The findings support the potential clinical utility of DTI as a non-contrast imaging modality in thyroid nodule assessment.