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

China Medical University

Status: Active, not recruiting

Conditions: Stomach Neoplasms

Treatments: Other: H&E stained sections and slides; Radiation: The whole abdomen contrast-enhanced CT scan

Study type: Observational

Funder types: Other

Identifiers

NCT05001321

FirstHCMU_DL_oncology

Details and patient eligibility

About

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.

Enrollment: 3,300 patients

Sex: All

Ages: 18 to 79 years old

Volunteers: No Healthy Volunteers

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.

Exclusion criteria

• The patients had severe underlying disease;
• Overall survival was less than 3 months;
• No detailed information could be collected.

Trial design

3,300 participants in 3 patient groups

Training Group

Description:

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.

Treatment:

Other: H&E stained sections and slides

Radiation: The whole abdomen contrast-enhanced CT scan

Internal Validation Group

Description:

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.

Treatment:

Other: H&E stained sections and slides

Radiation: The whole abdomen contrast-enhanced CT scan

External Validation Group

Description:

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.

Treatment:

Other: H&E stained sections and slides

Radiation: The whole abdomen contrast-enhanced CT scan