Cancer of the liver, breast and thyroid
Conditions
Interventions
Observation group:a. Two-dimensional ultrasound, color Doppler, contrast-enhanced ultrasound and liver elasticity were performed, raw data were collected, and quantitative analysis was performed offli
b. Qualitative diagnosis: size, shape, echo/density/signal, number, etc., of liver, breast and thyroid lesions
The enhancement pattern and morphology of contrast-enhanced ultrasound
Elastic hardness value and so on.
c. Multimodal image feature analysis of liver, breast and thyroid lesions
d. Collecting biopsy and postoperative pathological results of liver, breast and thyroid lesions
e. To analyze the accuracy of multimodal imaging in the diagnosis and treatment of liver, breast and thyroid lesions
f. Perform deep learning analysis to select the best diagnosis and treatment method.
Sponsors
The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou
Eligibility
Sex/Gender
All
Age
18 Years to 80 Years
Inclusion criteria
Inclusion criteria: A. Age >18 years; B. Have imaging, examination and pathological data of liver, thyroid and breast space; C. Patients signed written informed consent for contrast ultrasound
Exclusion criteria
Exclusion criteria: A. The pathological or clinical diagnosis is not clear; B. Imaging data missing or incomplete;
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| sensitivity;specificity;accuracy; | — |
Secondary
| Measure | Time frame |
|---|---|
| positive predictive value;negavtive predictive value; | — |
Countries
China
Contacts
Public ContactWei Wang
The First Affiliated Hospital of Sun Yat-Sen University
Outcome results
None listed