Clinical trial · Observational
Deep Learning Algorithms for Prediction of Lymph Node Metastasis and Prognosis in Breast Cancer MRI Radiomics (RBC-01)
NCT04003558CI-TRIAL-00040083unknownClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (5)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Axillary Lymph Node | — | UNRESOLVED | — |
| Breast Neoplasm Female | — | UNRESOLVED | — |
| Early-stage Breast Cancer | Early Stage Breast Carcinoma | ALIAS | 0.90 |
| Radiomics | — | UNRESOLVED | — |
| Survival, Prosthesis | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| No interventions | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (4)
- label
- Sun Yat-Sen Memorial Hospital of Sun Yat-sen University
- description
- The cohort of Sun Yat-Sen Memorial Hospital of Sun Yat-sen University is a training cohort.
- interventionNames
- Other: No interventions
- label
- Sun Yat-sen University Cancer Center
- description
- The cohort of Sun Yat-sen University Cancer Center is a validation cohort.
- interventionNames
- Other: No interventions
- label
- Tungwah Hospital of Sun Yat-Sen University
- description
- The cohort of Tungwah Hospital of Sun Yat-Sen University is a validation cohort.
- interventionNames
- Other: No interventions
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: * The primary lesion was diagnosed as invasive breast cancer * Patients can have regional lymph node metastasis,but no distant organ metastasis * Complete the breast MRI examination before treatment * Accept breast cancer surgery or lymph node biopsy * Eastern Cooperative Oncology Group performance status 0-2 Exclusion Criteria: * Inflammatory breast cancer * Accompanied with other primary malignant tumors * Perform surgery,radiotherapy and lymph node biopsy before breast MRI examination * Patients who have neoadjuvant chemotherapy * Patients had distant and contralateral axillary lymph node metastasis * The pathologic diagnosis was extensive ductal carcinoma in situ
References
Publications (1)
- DERIVEDYu Y, He Z, Ouyang J, Tan Y, Chen Y, Gu Y, Mao L, Ren W, Wang J, Lin L, Wu Z, Liu J, Ou Q, Hu Q, Li A, Chen K, Li C, Lu N, Li X, Su F, Liu Q, Xie C, Yao H. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study. EBioMedicine. 2021 Jul;69:103460. doi: 10.1016/j.ebiom.2021.103460. Epub 2021 Jul 4. PMID 34233259