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Artificial Intelligence-assisted Contrast-enhanced Ultrasound Diagnosis of Thyroid Nodules (AIA-CEUD-TN)

Sun Yat-sen University logo

Sun Yat-sen University

Status

Completed

Conditions

Thyroid Nodule

Treatments

Other: Artificial Intelligence

Study type

Interventional

Funder types

Other

Identifiers

NCT05982821
SYSKY-2023-702-01

Details and patient eligibility

About

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.

Enrollment

1,955 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients with thyroid nodules with a solid component ≥5 mm confirmed by conventional ultrasound;
  • Patients who underwent conventional ultrasound, contrast-enhanced ultrasound, and fine-needle aspiration biopsy;
  • Patients with a final benign or malignant pathological results.

Exclusion criteria

  • Patients with cytopathology of Bethesda I, III, or IV and without final benign or malignant pathology;
  • Patients with a history of thyroid ablation or surgery;
  • Patients with low-quality ultrasound images.

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

1,955 participants in 1 patient group

Test set
Other group
Description:
Participants with thyroid nodules underwent contrast-enhanced ultrasound and ultrasound-guided fine-needle aspiration during January 2021 and December 2022 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Houjie Hospital of Dongguan and Affiliated Huadu Hospital of Southern Medical University.
Treatment:
Other: Artificial Intelligence

Trial contacts and locations

1

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Central trial contact

Jingliang Ruan, PhD

Data sourced from clinicaltrials.gov

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