follicular neoplasm
Conditions
Interventions
Gold Standard:pathologic diagnosis
Index test:Diagnostic Prediction Model for Thyroid Follicular Tumors Based on Ultrasound Micro-Imaging
Sponsors
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1.=18 years old; 2.Patients who were diagnosed and underwent surgery at the Sir Run Run Shaw Hospital affiliated to Zhejiang University School of Medicine and whose preoperative ultrasound showed suspicious thyroid follicular tumors; 3.Voluntarily participate in this study and sign the informed consent form. If the subject is unable to read and sign the informed consent form due to disability or other reasons, or if the subject is a minor, their guardian must act on their behalf to conduct the informed consent process and sign the informed consent form. If the subject is unable to read the informed consent form (e.g., illiterate subjects), a witness must witness the informed consent process and sign the informed consent form.
Exclusion criteria
Exclusion criteria: 1. Combined with other types of thyroid cancer. 2. Individuals allergic to ultrasound contrast agents. 3. Vulnerable groups other than the elderly/illiterate, including those with mental illnesses, cognitive impairments, critically ill patients, pregnant women, etc. 4. Other reasons the researcher believes the subject is unsuitable to participate in this study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Accuracy of benign and malignant diagnosis; | — |
Countries
China
Contacts
Public ContactLi Qiang
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Outcome results
None listed