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Study on Preoperative Prediction of Regional Lymph Node Metastasis in Esophageal Carcinoma Using Multi-task Deep Learning Approach: a Retrospective, Multicenter Study

Study on Preoperative Prediction of Regional Lymph Node Metastasis in Esophageal Carcinoma Using Multi-task Deep Learning Approach: a Retrospective, Multicenter Study

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200055583
Enrollment
Unknown
Registered
2022-01-14
Start date
2022-01-01
Completion date
Unknown
Last updated
2023-02-06

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

Conditions

esophageal cancer

Interventions

Sponsors

Fifth Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1.Pathologically confirmed as esophageal squamous cell carcinoma; 2.Patients who have undergone radical esophageal cancer surgery and lymph node dissection; 3.Enhanced CT examination within 4 weeks before the operation for patients who have not undergone any preoperative treatment, OR enhanced CT examination within 4 weeks before the operation and after treatment for patients who receive preoperative treatment, such as radiotherapy, chemotherapy or immunotherapy; 4.CT slice thickness <= 2mm; 5.Pathological N staging and location information of metastatic lymph nodes are available.

Exclusion criteria

Exclusion criteria: 1.Simultaneous malignant tumors in other places; 2.Patients with multiple origins of esophageal cancer; 3.The CT image does not meet the requirements (severe artifacts, slice thickness > 2mm, etc.).

Design outcomes

Primary

MeasureTime frame
accuracy;AUC;

Secondary

MeasureTime frame
sensitivity;specificity;

Countries

China

Contacts

Public ContactShan Hong

Fifth Affiliated Hospital of Sun Yat-sen University

shanhong@mail.sysu.edu.cn+86 18826913336

Outcome results

None listed

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