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Deep Learning Algorithms for Prediction of Lymph Node Metastasis and Prognosis in Breast Cancer MRI Radiomics (RBC-01)

Breast Neoplasm Female Clinical Trial

Official title:
Deep Learning Algorithms for Prediction of Lymph Node Metastasis and Prognosis in Breast Cancer MRI Radiomics (RBC-01)

Clinical Trial Summary

This bi-directional, multicentre study aims to assess multiparametric MRI Radiomics-based prediction model for identifying metastasis lymph nodes and prognostic prediction in breast cancer.

Clinical Trial Description

Sensitivity for prediction of lymph node metastasis and survival of currently available prognostic scores in limited. This study proposes to establish a deep learning algorithms of multiparametric MRI radiomics and nomogram for identifying lymph node metastasis and prognostic prediction of breast cancer. The study will investigate the relationship between the radiomics and the tumor microenvironment. The study includes the construction of multiparametric MRI radiomics-based prediction model and the validation of the prediction model. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04003558
Study type Observational
Source Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Contact Herui Yao, PhD
Phone +8613500018020
Email yaoherui@mail.sysu.edu.cn
Status Recruiting
Phase
Start date May 28, 2019
Completion date January 1, 2025
View Details
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