Prediction of Thyroid Cancer From Ultrasonographic Characteristics of Thyroid Nodules

Completed

• Conditions: Thyroid Nodule

• Registration Number: NCT00571090
• Lead Sponsor: Istanbul Science University

Brief Summary

The aim of this study is to identify which ultrasonographic feature or a combination of features is the best predictor of thyroid cancer in thyroid nodules.

Detailed Description

Not available

Study Timeline

• Study Start: 2003-06
• Study First Submitted: 2007-12-10
• Study First Submitted QC: 2007-12-10
• Study First Posted: 2007-12-11
• Primary Completion: 2012-07
• Study Completion: 2013-07
• Status Verified: 2014-03
• Last Update Submitted: 2014-03-28
• Last Update Posted: 2014-03-31

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 735

Inclusion Criteria

• Subjects with thyroid nodules over 10 mm in the longest diameter
• Euthyroid or hypothyroid subjects with a solitary thyroid nodule or multinodular goiter
• Subjects with a hypoactive nodule in the thyroid scan and a low TSH

Exclusion Criteria

• Subjects with four or more thyroid nodules that are over 10 mm
• Subjects with low TSH and hyperactive nodule on thyroid scan

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Thyroid cancer	one year

Trial Locations

Locations (1)

Group Florence Nightingale; 🇹🇷 Istanbul, Turkey