Diagnostic Accuracy of Elastography in Differentiating Benign from Malignant Thyroid Nodules Taking Fine Needle Aspiration Cytology as Gold Standard

Authors

  • Ameet Jesrani
  • Marya Hameed
  • Naveed Ahmed
  • Pooja Devi
  • Abdul Baseer

DOI:

https://doi.org/10.51985/OLBL1894

Keywords:

Benign, Histopathology, Malignant, Noninvasive imaging, Strain Elastography, Thyroid Nodules

Abstract

Objective: To evaluate the diagnostic accuracy of Strain Elastography in differentiating benign from malignant thyroid
nodules taking fine needle aspiration cytology as gold standard.
Study Design and Setting: It was a cross sectional study conducted at Radiology department of Jinnah Postgraduate
Medical Centre, Karachi from May 2019 to June 2020
Methodology: Total 586 patients with complaints of swelling in region of thyroid gland were enrolled in study on which
Strain Elastography was performed using linear transducer with ultrasound frequency of 7.5 MHz. The results of strain
Elastography were compared with histopathology. All the information was recorded into predesigned proforma. Chi-square
test was used for comparison among categorical variables and when it has not worked then imitation of Monte Carlos was
applied and to see agreement among various categorical variables Kappa statistics were performed. Level of statistical
significance was accepted as P < 0.05.
Results: The sensitivity of 100%, specificity of 80.2%, positive predictive value of 61.7%, negative predictive value of
100%, and diagnostic accuracy of 85% of elastography was calculated in differentiation among benign from malignant
thyroid nodules.
Conclusion: Strain elastography

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Published

2021-04-05

How to Cite

Jesrani, A. ., Hameed, M., Ahmed, N., Devi, P., & Baseer, A. . (2021). Diagnostic Accuracy of Elastography in Differentiating Benign from Malignant Thyroid Nodules Taking Fine Needle Aspiration Cytology as Gold Standard. Journal of Bahria University Medical and Dental College, 11(2), 70–75. https://doi.org/10.51985/OLBL1894

Issue

Vol. 11 No. 2 (2021): Volume 11 Issue 2

Section

Original Articles

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Copyright (c) 2021 Ameet Jesrani, Marya Hameed, Naveed Ahmed, Pooja Devi, Abdul Baseer

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