MRI Radiomics Assessing Neoadjuvant Chemotherapy in Breast Cancer to Predict Lymph Node Metastasis and Prognosis(RBC-02)
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Axillary Lymph Node
- Invasive Breast Cancer
- Neoadjuvant Chemotherapy
- Prognosis
- Radiomics
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Retrospective
Participation Requirements
- Age
- Between 18 years and 75 years
- Gender
- Only males
Description
This study proposes to build a clinical predictive model to predict axillary lymph node metastasis and prognosis in invasive-breast-cancer patients who received neoadjuvant chemotherapy before surgery. The model is built based on breast MRI signatures extracted and analyzed via deep machine-learning...
This study proposes to build a clinical predictive model to predict axillary lymph node metastasis and prognosis in invasive-breast-cancer patients who received neoadjuvant chemotherapy before surgery. The model is built based on breast MRI signatures extracted and analyzed via deep machine-learning algorithm methods. Invasive breast cancer patients undergo multiparametric MRI at baseline, then undergo multiparametric MRI after received neoadjuvant chemotherapy for at least 4 cycles as planned. After the surgery, responses to neoadjuvant chemotherapy are determined according to the histopathologically examination of the surgically resected specimens. After completion of treatment procedure, patients are followed up for 5 years.
Tracking Information
- NCT #
- NCT04004559
- Collaborators
- Sun Yat-sen University
- Tungwah Hospital of Sun Yat-Sen University
- Investigators
- Study Chair: Herui Yao, PhD Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Principal Investigator: Chuanmiao Xie, PhD Sun Yat-sen University Principal Investigator: Haotian Lin, PhD Zhongshan Ophthalmic Center, Sun Yat-sen University
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