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Artificial Intelligence Based on MRI for Identifying the Tertiary Lymphoid Structures Status of Breast Cancer and Predicting Clinical Prognosis

Artificial Intelligence Based on MRI for Identifying the Tertiary Lymphoid Structures Status of Breast Cancer and Predicting Clinical Prognosis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085188
Enrollment
Unknown
Registered
2024-06-03
Start date
2024-06-03
Completion date
Unknown
Last updated
2024-07-08

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

Conditions

Breast cancer

Interventions

Mature tertiary lymphoid structures group :This study is a retrospective study with no interventional measures.
Immature tertiary lymphoid structures group:This study is a retrospective study with no interventional measures.

Sponsors

The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: a) Patients with primary invasive breast cancer who underwent surgical resection at both hospitals. b) Time range: January 2017 to December 2026.

Exclusion criteria

Exclusion criteria: ? Underwent comprehensive treatment (including radiotherapy, chemotherapy, and traditional Chinese medicine) before the MRI examination; ? Incomplete surgical pathology specimens; ? Incomplete medical records; ? Incomplete imaging data.

Design outcomes

Primary

MeasureTime frame
CD8+T cell;B cell;Dendritic cells; High endothelial venule;—

Secondary

MeasureTime frame
Vascular Endothelial Growth Factor;—

Countries

China

Contacts

Public ContactMeng Mingzhu

The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University

mengmz0202@njmu.edu.cn+86 180 1825 0917

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026