Prediction of Lymphatic Metastasis in Esophageal Cancer by CT Radiomics

Peking University Cancer Hospital & Institute133 enrolled

Overview

This study proposes to establish a CT radiomics-based prediction model for identifying metastasis lymph nodes in esophageal cancer.

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.

Study Type

OBSERVATIONAL

Enrollment

133

Conditions

Esophagus Cancer

Interventions

preoperative enhanced chest CT examinationPROCEDURE

Each patient will receive preoperative enhanced chest CT examination, and their CT images will be used for analysis

Eligibility

Sex: ALL

Medical Language ↔ Plain English

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

Locations (1)

Beijing Cancer Hospital

Beijing, Beijing Municipality, China

Outcomes

Primary Outcomes

pathological local lymph node status

pathological lymph node status is defined as lymph node metastasis exist or not

Time frame: Pathologic evaluation will be performed for each patient within 1 week after surgery

Data from ClinicalTrials.gov

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