Breast Cancer Clinical Trial
Official title:
Clinical Study of Imaging Genomics Based on Machine Learning for Breast Cancer Molecular Typing and Risk Prediction (BCIG)
1. Identify the imaging features of breast cancer with different molecular types
2. Reveal the association between hormone receptor positive/HER2 negative breast cancer and
imaging histology, Oncotype Dx recurrence score
3. Combine genomics and imaging to establish a predictive model for the sensitivity of
HER2-positive breast cancer targeted therapy
4. Establish an imaging genomics prediction model for triple-negative breast cancer
molecular subtypes, and clarify the imaging genomics characteristics of the therapeutic
targets of each subtype
Status | Not yet recruiting |
Enrollment | 1500 |
Est. completion date | December 30, 2023 |
Est. primary completion date | December 30, 2022 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: 1. Pathological and immunohistochemical diagnosis of breast cancer by biopsy 2. No MRI contraindications and no biopsy before MRI 3. Without radiotherapy and chemotherapy before enrollment Exclusion Criteria: 1. Those with previous history of breast cancer surgery, hormone replacement therapy and chest radiotherapy 2. Patients with severe diseases who cannot cooperate with the examination 3. People with contraindications to MRI 4. The researchers believe that other conditions are not suitable for breast MRI examination |
Country | Name | City | State |
---|---|---|---|
China | Fudan University Shanghai Cancer Center | Shanghai | Shanghai |
Lead Sponsor | Collaborator |
---|---|
Fudan University | International Peace Maternity and Child Health Hospital, RenJi Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Image prediction model of different molecular typing | Build a model to predict molecular typing based on image Establish a prediction model for predicting the risk of Luminal breast cancer recurrence Establish a prediction model for predicting her2 targeted drug resistance Establishing a triple-negative molecular model for breast cancer |
30 December,2022----30 December,2023 |
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