Add like
Add dislike
Add to saved papers

Reliability of the ultrasound classification system of thyroid nodules in predicting malignancy.

AIM: This study aims to evaluate the reliability of the Ultrasound (U) Classification system in predicting thyroid malignancy by using pathology diagnosis as the reference standard.

METHODS: It was a cross-sectional study carried out at Universiti Kebangsaan Malaysia Medical Centre (UKMMC), Malaysia. Records of patients with focal thyroid nodules on ultrasound (US) for which US-guided fine needle aspiration cytology (FNAC) was performed and pathology results were available, from January 2014 to May 2016 were selected for review. Correlation of the U Classification with pathology results was assessed. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, predictive value, negative predictive value and accuracy were calculated in a conservative and non-conservative method. The threshold for statistical performance was set at 0.05. Each sonographic feature was also compared with its pathology results.

RESULTS: A total of 91 patients with 104 nodules were eligible. 12 nodules out of 104 (11.5%) were malignant. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, negative predictive value and accuracy were 100%, 91.3%, 11.5, 0.0, 60%, 100% and 92.3%, and 100%, 91.4%, 11.7%, 0.0, 78.6%, 100% and 93.5%, for the non-conservative and conservative method of calculations respectively.

CONCLUSION: The U Classification is reliable in predicting thyroid malignancy. More evidence is nevertheless necessary for widespread adaptation and use.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app