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Deep Learning Algorithms for Prediction of Lymph Node Metastasis and Prognosis in Breast Cancer MRI Radiomics (RBC-01): a case records based retrospective study

Deep Learning Algorithms for Prediction of Lymph Node Metastasis and Prognosis in Breast Cancer MRI Radiomics (RBC-01): a case records based retrospective study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900024020
Enrollment
Unknown
Registered
2019-06-22
Start date
2019-06-20
Completion date
Unknown
Last updated
2019-06-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

breast cancer

Interventions

Gold Standard:Clinical outcome
Learning&#32
prediction&#32
model

Sponsors

Sun Yat-Sen Memorial Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Female aged from 18 to 75 years; 2. From 2008 to 2018, the primary lesion was diagnosed as invasive breast cancer; 3. Patients can have regional lymph node metastasis,but no distant organ metastasis; 4. Complete the breast MRI examination before operation; 5. Accept breast cancer surgery or lymph node biopsy; 6. ECOG-PS 0-2.

Exclusion criteria

Exclusion criteria: 1. Inflammatory breast cancer; 2. Accompanied with other primary malignant tumors; 3. Perform surgery,radiotherapy and lymph node biopsy before breast MRI examination; 4. Patients who have neoadjuvant chemotherapy; 5. Patients had distant and contralateral axillary lymph node metastasis; 6. The pathologic diagnosis was extensive ductal carcinoma in situ.

Design outcomes

Primary

MeasureTime frame
Axillary lymph node metastasis;

Secondary

MeasureTime frame
The correlation of radiomics features and tumor microenvironment;Disease-free survival;Overall survival;

Countries

China

Contacts

Public ContactHerui Yao

Sun Yat-Sen Memorial Hospital, Sun Yat-sen University

yaoherui@mail.sysu.edu.cn+86 13500018020

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 19, 2026