Prediction of Lymphatic Metastasis in Esophageal Cancer by CT Radiomics
- Conditions
- Esophagus Cancer
- Registration Number
- NCT03237130
- Lead Sponsor
- Peking University Cancer Hospital & Institute
- Brief Summary
This study proposes to establish a CT radiomics-based prediction model for identifying metastasis lymph nodes in esophageal cancer.
- Detailed Description
This study proposes to establish an image feature extraction and selection method for identifying lymph node metastasis of esophageal cancer.The study will consider the relationship between the main lesion and the suspected lymph node, extract association characteristics in order to improve the sensitivity and specificity of the CT radiomics-based prediction model for identifying metastasis lymph nodes. The study includes the construction of CT radiomics-based prediction model and the validation of the prediction model.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 133
- pathologically proven esophageal cancer
- scheduled to preoperative enhanced chest CT and undergo surgery
- sign the patient informed consent
- failed to receive preoperative enhanced chest CT or undergo surgery
- inavailable pathological results for local lymph node status
- inquality of CT images for feature extraction
- patient quit
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method pathological local lymph node status Pathologic evaluation will be performed for each patient within 1 week after surgery pathological lymph node status is defined as lymph node metastasis exist or not
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Beijing Cancer Hospital
🇨🇳Beijing, Beijing, China
Beijing Cancer Hospital🇨🇳Beijing, Beijing, China