Trending Topic

3 mins

Trending Topic

Developed by Touch
Mark CompleteCompleted
BookmarkBookmarked

It is with great pleasure that we present this latest issue of touchREVIEWS in Endocrinology, which brings together a diverse array of high-quality articles focused on the evolving landscape of endocrine disorders. The importance of patient-centred care is exemplified in the commentary by Bharti Kalra et al., which discusses the international guidelines for polycystic ovary […]

Alan Parsa, MD, ADA 2019 – Ultrasound in the Assessment of Thyroid Nodules

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Published Online: Jun 19th 2019

We are joined by Alan Parsa to discuss the most important advances in the use of ultrasound to assess thyroid nodules and the benefits of this technique in determining malignancy risk.

Filmed at the American Diabetes Association (ADA) annual meeting 2019, San Francisco, USA.

Questions:
1. What are the most important ultrasonographic features for determining the malignancy risk of thyroid nodules? (0:05)
2. How are the major endocrinology societies similar in their classification of malignancy risk of thyroid nodules? (1:21)
3. What are the advantages of the Bethesda System of classification of thyroid nodules? (3:28)
4. What are the benefits of using ultrasound-guided fine needle aspiration for determining malignancy risk? (05:20)

Alan Parsa has no conflicts of interest to declare in relation to this video.

touchENDO.com is an independent information resource supporting physicians, clinicians and leading industry professionals in continuously developing their knowledge, effectiveness and productivity, via free-to-access content in multimedia formats.

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied

This Functionality is for
Members Only

Explore the latest in medical education and stay current in your field. Create a free account to track your learning.

Close Popup