Thyroid Cancer
Conditions
Interventions
Gold Standard:Pathological diagnosis
learning 
model 
based 
on 
ultrasound 
and 
cytological 
imaging 
with 
artificial 
Sponsors
Cancer Center of Sun Yat-Sen University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Patients with thyroid cancer suspected by ultrasonography and focus to be operated on; 2. The maximum diameter of the focus is less than 4cm, the width of the probe can cover the whole focus, and normal tissue image is required on both sides of the focus; 3. Patients with FNA confirmed as malignant before operation and obtained pathological image of FNA cytology; 4. Thyroidectomy and cervical lymph node dissection were performed to determine the number of lymph node metastases.
Exclusion criteria
Exclusion criteria: 1. The target lesion has been excised and biopsied or punctured before image acquisition; 2. Patients who had not underwent FNA and surgical treatment in our hospital, and patients with incomplete pathological data; 3. Pathological cytological confirmed benign; 4. Ultrasonography revealed multiple lesions and postoperative pathology confirmed multiple lesions.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Deep learning model;Cervical lymph node metastasis;SEN, SPE, ACC, AUC of ROC; | — |
Countries
China
Contacts
Public ContactZhou Jianhua
Cancer center of Sun Yat sen University
Outcome results
None listed