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The Use of Dynamic Contrast-Enhanced Perfusion MRI in Differentiating Benign and Malignant Thyroid Nodules

  • Muhammed Sedat SakatEmail author
  • Recep Sade
  • Korhan Kilic
  • Mustafa Sıtkı Gözeler
  • Osman Pala
  • Gökhan Polat
  • Mecit Kantarcı
Original Article
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Abstract

To investigate the efficacy of perfusion magnetic resonance imaging (MRI) in benign-malignant differentiation of thyroid nodules. Images from 24 patients with thyroid masses were obtained using dynamic contrast enhanced MRI (DCE-MRI) at 3-T MR. DCE-MRI images were evaluated by post-processing of selected regions of interest (ROIs) on software, thus eliciting quantitative data for each voxel within the ROI. Ktrans, Ve, Kep, iAUC and chi2 were calculated automatically. The DCE-MRI values of benign and malignant lesions were then compared. Mean Ktrans and iAUC values in malignant lesions were significantly lower than those in benign lesions (p = 0.028 and 0.049). Ktrans, Kep, and iAUC values in malignant lesions were statistically significantly lower than normal parenchyma values. In contrast to other tissues, the perfusion MRI findings of thyroid masses exhibit a decrease in Ktrans and iAUC values as malignancy increases. Perfusion MRI may be useful in differentiating benign and malignant thyroid nodules once a cut-off value has been determined by other studies.

Keywords

Perfusion MRI Thyroid malignancy Ktrans 

Notes

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Compliance with Ethical Standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical approval was obtained from Local Ethical Committee.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Association of Otolaryngologists of India 2018

Authors and Affiliations

  • Muhammed Sedat Sakat
    • 1
    Email author
  • Recep Sade
    • 2
  • Korhan Kilic
    • 1
  • Mustafa Sıtkı Gözeler
    • 1
  • Osman Pala
    • 1
  • Gökhan Polat
    • 2
  • Mecit Kantarcı
    • 2
  1. 1.Department of Otorhinolaryngology, Faculty of MedicineAtaturk UniversityErzurumTurkey
  2. 2.Department of Radiology, Faculty of MedicineAtaturk UniversityErzurumTurkey

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