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Imaging Studies I: CT and MRI01:14

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Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study.

Leila Aghaghazvini1, Hashem Sharifian2, Nasrin Yazdani3

  • 1Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

The Indian Journal of Radiology & Imaging
|January 22, 2019
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Diffusion-weighted imaging (DWI) accurately distinguishes benign from malignant thyroid nodules. This magnetic resonance imaging technique offers high sensitivity and specificity, aiding in preoperative diagnosis.

Keywords:
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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Preoperative differentiation of benign from malignant thyroid nodules is clinically challenging.
  • Accurate diagnosis is crucial for appropriate patient management and treatment planning.

Purpose of the Study:

  • To evaluate the diagnostic performance of diffusion-weighted imaging (DWI) in differentiating benign from malignant thyroid nodules.
  • To assess the accuracy of apparent diffusion coefficient (ADC) values in preoperative thyroid nodule characterization.

Main Methods:

  • Diffusion-weighted imaging (DWI) was performed using a 3-T MRI scanner on patients with thyroid nodules.
  • Apparent diffusion coefficient (ADC) maps were generated using b values of 50, 500, and 1000 mm²/s.
  • ADC values were correlated with postoperative histopathologic findings, and receiver operating characteristic (ROC) curve analysis was employed.

Main Results:

  • Analysis included 41 thyroid nodules (26 benign, 15 malignant).
  • Static MRI parameters showed no significant discriminatory value.
  • Mean ADC values differed significantly between benign (1.94 ± 0.54 × 10⁻³ mm²/s) and malignant nodules (0.89 ± 0.29 × 10⁻³ mm²/s) (P < 0.005).

Conclusions:

  • Diffusion-weighted imaging (DWI) demonstrates high accuracy in discriminating between benign and malignant thyroid nodules.
  • An ADC value cutoff of 1 × 10⁻³ mm²/s achieved 93% accuracy, 87% sensitivity, and 96% specificity.