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Study on preoperative prediction of regional lymph node metastasis in esophageal carcinoma using multi-task deep learning approach: a prospective, multi-center study

Study on preoperative prediction of regional lymph node metastasis in esophageal carcinoma using multi-task deep learning approach: a prospective, multi-center study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200056208
Enrollment
Unknown
Registered
2022-02-01
Start date
2022-05-01
Completion date
Unknown
Last updated
2024-08-19

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

Conditions

esophageal cancer

Interventions

Index test:Predictive model on multi-regional lymph node metastasis in esophageal cancer.

Sponsors

The Fifth Affiliated Hospital of Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria (inclusion only if all the following criteria are met) : 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; 6. Sign the informed consent form.

Exclusion criteria

Exclusion criteria: Exclusion criteria (subjects will not be admitted to the study if they meet any of the following criteria): 1. Simultaneous malignant tumors in other places; 2. Patients with multiple origins of esophageal cancer.

Design outcomes

Primary

MeasureTime frame
Accuracy;Area Under Curve (AUC);

Secondary

MeasureTime frame
Sensitivity;Specificity;

Countries

China

Contacts

Public ContactHong Shan

The 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