Multi-center and Multi-modal Deep Learning Study of Gastric Cancer

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

3300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-07-01

Study Completion Date

2024-12-31

Brief Summary

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To assist postoperative pathological diagnosis and classification of gastric cancer by machine learning; To improve the accuracy of pathological diagnosis of gastric cancer by machine learning; To predict the effectiveness of treatment for gastric cancer by deep learning; To construct a model to predict the survival of gastric cancer patients by multimodal deep learning.

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Detailed Description

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Conditions

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Stomach Neoplasms

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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Training Group

Based on the inclusion criteria, 2000 gastric cancer patients will be recruited in the analysis. And a model will be constructed based on deep learning.

The whole abdomen contrast-enhanced CT scan

Intervention Type RADIATION

All the participants were measured by the whole abdomen contrast-enhanced CT scan.

H&E stained sections and slides

Intervention Type OTHER

HE pathological examination was performed on all specimens of enrolled patients.

Internal Validation Group

Based on the inclusion criteria, 1000 gastric cancer patients will be recruited in this group to verify the sensitivity and specificity of the constructed model.

The whole abdomen contrast-enhanced CT scan

Intervention Type RADIATION

All the participants were measured by the whole abdomen contrast-enhanced CT scan.

H&E stained sections and slides

Intervention Type OTHER

HE pathological examination was performed on all specimens of enrolled patients.

External Validation Group

Based on the inclusion criteria, 300 gastric cancer patients from 5 other medical centers will be recruited in this group to verify the sensitivity and specificity of the constructed model.

The whole abdomen contrast-enhanced CT scan

Intervention Type RADIATION

All the participants were measured by the whole abdomen contrast-enhanced CT scan.

H&E stained sections and slides

Intervention Type OTHER

HE pathological examination was performed on all specimens of enrolled patients.

Interventions

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The whole abdomen contrast-enhanced CT scan

All the participants were measured by the whole abdomen contrast-enhanced CT scan.

Intervention Type RADIATION

H&E stained sections and slides

HE pathological examination was performed on all specimens of enrolled patients.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* The diagnosis of gastric cancer was confirmed by pathology;
* Preoperative enhanced abdominal CT;
* Available detailed clinical and pathological data;
* Integrated follow-up data.