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The role of diffusion-weighted magnetic resonance imaging (DWI) in head and neck masses

  • Ramathibodi Hospital

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: To differentiate between benign from malignant head and neck masses using diffusion-weighted imaging (DWI) and measured the cutoff point of apparent diffusion coefficient (ADC) value. Materials and Methods: DWI and measured ADC value were performed in 24 patients with head and neck masses at Ramathibodi Hospital from May 2013 to September 2015. The 37 lesions in 24 patients were divided into benign and malignant head and neck masses. Results: The 30 lesions were malignant and 7 lesions were benign head and neck masses. By visual inspection, DWI can differentiate benign from malignant head and neck masses by 93.3% of sensitivity, 85.5% of specificity, 91.8% of accuracy, 96.6% of PPV and 75% of NPV. Mean ADC values in benign and malignant head and neck masses were 1.126 x 10-3 mm2/s and 0.973 x 10-3 mm2/s, respectively, which was no statistical significant difference (p-value of 0.445). The cutoff point of mean ADC value was 1.200x10-3 mm2/s for differentiation of benign and malignant head and neck masses. Conclusion: DWI can differentiate benign from malignant head and neck masses qualitatively. It should be applied to MR protocol in the head and neck masses to enhance diagnostic accuracy.

Original languageEnglish
Pages (from-to)925-932
Number of pages8
JournalJournal of the Medical Association of Thailand
Volume101
Issue number7
Publication statusPublished - Jul 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • ADC (apparent diffusion coefficient)
  • DWI (diffusion-weighted imaging)

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