Research on intelligent interpretation system of breast and thyroid ultrasound images based on deep learning

Status

Recruiting

Phases

Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300069555

Enrollment

Unknown

Registered

2023-03-20

Start date

2023-04-01

Completion date

Unknown

Last updated

2023-05-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Thyroid nodules and breast nodules

Interventions

Gold Standard:Postoperative pathological examination

Index test:Deep learning model for accurate ultrasound diagnosis

Eligibility

Sex/Gender

All

Age

18 Years to 60 Years

Inclusion criteria

Inclusion criteria: ? 18-60 years; ? Cooperate with ultrasound examination and obtain more than 10 clear ultrasound images; ? Ultrasound diagnosis of thyroid or breast nodules.

Exclusion criteria

Exclusion criteria: ? Patients with mastectomy, thyroidectomy or partial excision or presence of cervical lymphadenopathy or history of surgery; ? Unclear ultrasound images; ? There were not obvious thyroid or breast nodules were seen.

Design outcomes

Primary

Measure	Time frame
Postoperative pathological examination;Ultrasound images;accuracy;Sensitivity;Specificity;area under receiver operating characteristic curve, AUC;	—

Countries

China

Contacts

Public ContactSupeng Yin

Chongqing General Hospital

yinsupeng@163.com18716352727

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026