Radiomics for Prediction of Lymph Node Metastasis in Gastric Cancer（RPLNM）(GIPMCS-1701)

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

UNKNOWN

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-08-30

Study Completion Date

2019-03-31

Brief Summary

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

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Detailed Description

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This is a prospective, multi-center trial conducted at 4 high-volume gastric cancer centers in China (Nanfang Hospital of Southern Medical University; Sun Yat-Sen University Cancer Center; First Affiliated Hospital, Sun Yat-Sen University; The Third Affiliated Hospital, Sun Yat-Sen University) designed to determine the predicted performance of radiomics-based prediction model for identifying metastasis of each station lymph nodes by enhanced CT for preoperative noninvasive assessment of the lymph node status in patients with gastric cancer. The study includes the construction of CT radiomics-based prediction model and the validation of the prediction model.

Conditions

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Digestive System Diseases Gastrointestinal Neoplasms Digestive System Neoplasms Gastrointestinal Diseases Stomach Neoplasms

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Age \>18 years;
* Patients providing written informed consent;
* Pathologically proven gastric cancer scheduled to preoperative enhanced abdomen CT and undergo gastrectomy with type D2 lymphadenectomy;
* Has undergone \> 64 multi-detector row CT within 14 days prior to surgical resection; .No receipt of preoperative therapy (radiotherapy, chemotherapy or chemoradiotherapy).

Exclusion Criteria

* Preoperative therapy (radiotherapy, chemotherapy or chemoradiotherapy);
* Failed to receive preoperative enhanced abdomen CT or undergo gastrectomy with type D2 lymphadenectomy;
* Inavailable pathological results for local lymph node status;
* Inquality of CT images for feature extraction; .Patient quit.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No