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Intelligent assessment of lymph nodes involvement in breast cancer based on CNN algorithm

Intelligent assessment of lymph nodes involvement in breast cancer based on CNN algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300070740
Enrollment
Unknown
Registered
2023-04-21
Start date
2023-04-21
Completion date
Unknown
Last updated
2023-06-04

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:The gold standard for modeling is the pathological results after sentinel lymph node resection and axillary lymph node dissection. All patients underwent sentinel lymph node resection wi

Sponsors

Ji Jiansong
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: (1) Patients with single invasive breast cancer confirmed by postoperative histopathology in Center 1 (June 2013 to December 2021) and Center 2 (June 2017 to December 2021); (2) Underwent SLNB/ALND (3) DCE-MRI was performed within 3 weeks before breast surgery; (4) No neoadjuvant chemotherapy, radiotherapy, or ablation was performed before biopsy or MRI examination.

Exclusion criteria

Exclusion criteria: (1) History of primary breast cancer or axillary surgery before image acquisition; (2) Bilateral or multifocal breast cancer (3) Very small region of interest (ROI) (voxels less than 64) or patients with poor MRI image quality; (4) Non-mass breast cancer. (5) Patients with incomplete clinicopathological data.

Design outcomes

Primary

MeasureTime frame
the area under the receiver operating characteristics (ROC) curve (AUC);

Secondary

MeasureTime frame
accuracy;sensitivity;specificity;

Countries

China

Contacts

Public ContactJi Jiansong

Lishui Hospital of Zhejiang University

jijiansong@zju.edu.cn+86 578 2285011

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 10, 2026