FindTrial
Sign In

Construction and application of cascade convolutional neural network models based on B-mode/shear-wave elastography image for predicting thyroid cancer

Construction and application of cascade convolutional neural network models based on B-mode/shear-wave elastography image for predicting thyroid cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900021287
Enrollment
Unknown
Registered
2019-02-11
Start date
2019-02-23
Completion date
Unknown
Last updated
2019-02-18

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

Conditions

Thyroid cancer

Interventions

Gold Standard:Pathological diagnosis of the targeted thyroid nodule
Index test:Method:B-mode/shear-wave&#32
elastography&#32
imaging&#32
for&#32
the&#32
thyroid&#32
nodule System:&#32
Ultrasonography

Sponsors

Shanghai Tenth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Aged 18 to 80 years; 2. Scheduled to undergo fine needle aspiration biopsy (FNA) or surgery (FNA or surgery within 1 month after ultrasound examination); 3. Have read and signed the Informed Consent form for participating in the study.

Exclusion criteria

Exclusion criteria: Image data are incomplete; follow-up time is insufficient or lost; withdrawal due to various reasons.

Design outcomes

Primary

MeasureTime frame
Thyroid Nodules;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactXue Huixiong

Shanghai Tenth People's Hospital

xuhuixiong@126.com+86 021 66307539

Outcome results

None listed

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