Research on the prediction model and biological mechanism of thyroid cancer cervical lymph node metastasis based on CT image deep learning

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2200062712

Enrollment

Unknown

Registered

2022-08-16

Start date

2022-08-15

Completion date

Unknown

Last updated

2023-04-12

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

Conditions

Thyroid Cancer

Interventions

2:none

Eligibility

Sex/Gender

All

Age

18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. patients underwent CT diagnosis and had clear CT images; 2. patients confirmed to be papillary thyroid carcinoma after ultrasound guided fine needle aspiration biopsy; 3. patients were planned to receive lateral neck dissection and the ground truth of lateral cervical lymph node metastasis was according to the pathologic evaluation.

Exclusion criteria

Exclusion criteria: 1. patients received preoperative treatment, such as radiotherapy and chemotherapy; 2. missing clinical information; 3. hardly visibly lesions on CT images; 4. no surgical or lack of postoperative pathological information of lymph nodes; 5. The quality of the surgically resected tissue did not meet the RNA sequencing standards.

Design outcomes

Primary

Measure	Time frame
area under the receiver operating characteristic curve;sensitivity;specifity;accuracy;	—

Countries

China

Contacts

Public ContactXicheng Song

drxchsong@163.com+86 18005350077

Outcome results

None listed

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