Prediction of Lymphatic Metastasis in Esophageal Cancer by CT Radiomics

NCT ID: NCT03237130

Last Updated: 2021-02-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

133 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-02-15

Study Completion Date

2020-05-15

Brief Summary

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

Detailed Description

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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.

Conditions

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Esophagus Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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preoperative enhanced chest CT

The cohort contains patients with preoperative therapies and patients without preoperative therapies. Each patient receives regular preoperative enhanced chest CT; for patients with preoperative therapies, they usually undergo twice enhanced chest CT examination at before and after preoperative therapies, the CT images after preoperative therapies will be used for analysis

preoperative enhanced chest CT examination

Intervention Type PROCEDURE

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

Interventions

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preoperative enhanced chest CT examination

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

Intervention Type PROCEDURE

Eligibility Criteria

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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
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Peking University Cancer Hospital & Institute

OTHER

Sponsor Role lead

Responsible Party

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Sun Ying-Shi

Chairman of Dept.Radiology of Beijing Cancer Hospital

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Ying-Shi Sun, MD

Role: STUDY_CHAIR

Dept.Radiology,Peking University Cancer Hospital

Locations

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Beijing Cancer Hospital

Beijing, Beijing Municipality, China

Site Status

Countries

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China

Other Identifiers

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CTRadiomics-LMesophagus-BNSF

Identifier Type: -

Identifier Source: org_study_id

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