Esophagus Cancer
Conditions
Keywords
esophagus cancer; radiomics; computed tomograpy
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.
Interventions
PROCEDUREpreoperative enhanced chest CT examination
Each patient will receive preoperative enhanced chest CT examination, and their CT images will be used for analysis
Sponsors
Peking University Cancer Hospital & Institute
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* pathologically proven esophageal cancer * scheduled to preoperative enhanced chest CT and undergo surgery * sign the patient informed consent
Exclusion criteria
* 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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
China
Outcome results
None listed