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Artificial Intelligence-assisted Contrast-enhanced Ultrasound Diagnosis of Thyroid Nodules

NCT05982821 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1955

Last updated 2026-03-25

No results posted yet for this study

Summary

The goal of this intervention study is to learn about the diagnostic performance of artificial intelligence to assist the contrast-enhanced ultrasound diagnosis of thyroid nodules. The main questions it aims to answer are:

1. Can we develop an artificial intelligence model to assist the contrast-enhanced ultrasound diagnosis of thyroid nodules?
2. Can artificial intelligent reduce the unnecessary biopsy of thyroid nodules?

Participants will be asked to undergo contrast-enhanced ultrasound examination and ultrasound-guided fine-needle aspiration of thyroid nodules. Researchers will calculate the diagnostic performance of the contrast-enhanced ultrasound diagnosis of thyroid nodules with and without artificial intelligent assistance.

Conditions

  • Thyroid Nodule

Interventions

OTHER

Artificial Intelligence

Artificial intelligence assisted contrast-enhanced ultrasound diagnosis of thyroid nodules.

Sponsors & Collaborators

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    lead OTHER

Principal Investigators

  • Jingliang Ruan, PhD · Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-06-03
Primary Completion
2026-03-02
Completion
2026-03-16

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05982821 on ClinicalTrials.gov