breast cancer
Conditions
Interventions
Gold Standard:Pathological diagnosis
learning 
model 
based 
on 
ultrasoundomics 
and 
pathomics 
with 
artifificial 
Sponsors
Sun Yat-Sen University Cancer Center
Eligibility
Sex/Gender
Female
Inclusion criteria
Inclusion criteria: 1) Ultrasound is classified as a single breast mass lesion of 4A to 5; 2) The maximum diameter of the lesion is less than 4cm, the width of the probe covers the entire lesion, and the normal tissue image is required on both sides of the lesion; 3) Perform a needle biopsy before surgery to determine malignancy (pathological image of the needle biopsy to be scanned); 4) After the patient underwent ultrasound examination, the sentinel lymph biopsy or axillary lymph node dissection was performed to determine the number of axillary lymph node metastasis.
Exclusion criteria
Exclusion criteria: 1) Excisional biopsy or Mammoto minimally invasive surgery on the target lesion before image acquisition. 2) New adjuvant chemotherapy for target lesions before image acquisition. 3) Patients who have not undergone biopsy or surgical treatment of breast lesions in this hospital, and patients with incomplete pathological data.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Deep learning model;Axillary lymph node metastasis.;SEN, SPE, ACC, AUC of ROC; | — |
Countries
China
Contacts
Public ContactZhou Jianhua
Sun Yat-Sen University Cancer Center
Outcome results
None listed