Ultrasound Radiomics for Predicting Breast Cancer and Axillary Lymph Node Metastasis

Nanjing University

Status

Not yet enrolling

Conditions

Breast Cancer

Axillary Lymph Node Metastasis

Treatments

Other: Ultrasonic image analysis

Study type

Observational

Funder types

Other

Identifiers

NCT05768451

2022-YXZX-YX-08

Details and patient eligibility

About

The project is proposed based on multimodal ultrasonic imaging omics building used for accurate prediction of the breast cancer and axillary lymph node metastasis load artificial intelligence forecasting model, this method can dig the hidden features of ultrasonic image is not visible to the naked eye, make up the subjectivity in the process of clinical doctors in diagnosis and treatment, provide accurate, objective basis for clinical decision making.

Enrollment

200 estimated patients

Sex

Female

Ages

18 to 90 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

patients who have not received breast puncture biopsy or neoadjuvant chemotherapy, etc. prior to ultrasonography;
patients who are not allergic to the ultrasound contrast agent (SonoVue) and have signed an informed consent form for ultrasonography
patients with breast tumors who have undergone surgical treatment at our hospital and have complete case histories.

Exclusion criteria

patients with incomplete case data;
cases with large breast masses that do not completely show the region of interest (ROI);
patients who have undergone breast aspiration biopsy or other treatments such as neoadjuvant chemotherapy or endocrine therapy before ultrasound examination.