AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy

NCT ID: NCT06035250

Last Updated: 2023-09-28

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

RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-09-10

Study Completion Date

2029-12-31

Brief Summary

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This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients. By utilizing the patients' CT imaging data, biopsy pathology images, and clinical information, the intelligent model will predict the post-neoadjuvant chemotherapy efficacy and prognosis, offering assistance in personalized treatment decisions for gastric cancer patients.

Detailed Description

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This study seeks to develop a deep learning model to predict the outcomes of neoadjuvant chemotherapy in patients with gastric cancer. Leveraging participants' CT scans, biopsy pathology images, and clinical profiles, this model aims to forecast the effectiveness of post-neoadjuvant chemotherapy and the subsequent prognosis, thereby aiding in individualized treatment choices for these participants.

Data Collection: The investigators will gather data from 1,800 retrospective cases and 200 prospective cases from multiple hospitals. The retrospective data will be divided into training and testing sets to train and validate the model, respectively. The model's performance will subsequently be evaluated using the prospective dataset.

Clinical Information: This encompasses the participant's gender, age, tumor markers, staging, type, specific treatment plans, pre and post-treatment lab results, etc.

Imaging Data: CT imaging data taken within one month prior to the neoadjuvant chemotherapy, with at least the venous phase CT imaging included.

Pathology Data: Pathology images from a gastric tumor biopsy stained with Hematoxylin and Eosin (HE) taken within one month prior to treatment.

TRG Grading: Based on the pathology report of the surgical samples using the Ryan TRG grading system.

Prognostic Endpoints: The recorded endpoints are a 3-year progression-free survival (PFS) and a 5-year overall survival (OS). All deaths due to non-disease factors are excluded from the prognosis analysis.

Conditions

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Gastric Cancer Image Pathology

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Gastric Cancer Patients Undergoing Neoadjuvant Chemotherapy

This group comprises participants diagnosed with advanced gastric cancer. The participants will be treated with standard neoadjuvant chemotherapy regimens recommended by clinical guidelines. Treatment details, including the generic name of the drugs, dosage form, dosage, frequency, and duration, will be recorded according to the specific regimen.

Neoadjuvant Chemotherapy

Intervention Type DRUG

Participants in this group are diagnosed with gastric cancer and are scheduled to undergo neoadjuvant chemotherapy as a part of their treatment regimen. The specific chemotherapy drugs, dosages, and schedules will be determined according to established clinical guidelines and the participant's specific condition.

Interventions

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Neoadjuvant Chemotherapy

Participants in this group are diagnosed with gastric cancer and are scheduled to undergo neoadjuvant chemotherapy as a part of their treatment regimen. The specific chemotherapy drugs, dosages, and schedules will be determined according to established clinical guidelines and the participant's specific condition.

Intervention Type DRUG

Eligibility Criteria

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Inclusion Criteria

* Age 18 years or older;
* Pathologically diagnosed with advanced gastric cancer in accordance with the American AJCC's TNM staging standards;
* Have not undergone any systematic anti-cancer treatments before neoadjuvant chemotherapy and have not had surgery for local progression or distant metastasis;
* Received standard neoadjuvant chemotherapy as recommended by the clinical guidelines, and have documented treatment details;
* CT imaging and biopsy pathology images strictly taken within one month prior to starting neoadjuvant treatment;
* Patients possess comprehensive preoperative clinical information and post-operative TRG grading.

Exclusion Criteria

* Patients whose CT or pathology images are unclear, making lesion assessment infeasible;
* Patients diagnosed with other concurrent tumors.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Peking University Cancer Hospital & Institute

OTHER

Sponsor Role collaborator

Cancer Institute and Hospital, Chinese Academy of Medical Sciences

OTHER

Sponsor Role collaborator

Yunnan Cancer Hospital

OTHER

Sponsor Role collaborator

Henan Cancer Hospital

OTHER_GOV

Sponsor Role collaborator

Zhenjiang First People's Hospital

OTHER

Sponsor Role collaborator

First Hospital of China Medical University

OTHER

Sponsor Role collaborator

Cancer Hospital of Guangxi Medical University

OTHER

Sponsor Role collaborator

Peking University People's Hospital

OTHER

Sponsor Role collaborator

Tianjin Medical University Cancer Institute and Hospital

OTHER

Sponsor Role collaborator

The First Affiliated Hospital of Zhengzhou University

OTHER

Sponsor Role collaborator

Nanfang Hospital, Southern Medical University

OTHER

Sponsor Role collaborator

The Affiliated Hospital of Qingdao University

OTHER

Sponsor Role collaborator

Ruijin Hospital

OTHER

Sponsor Role collaborator

Sixth Affiliated Hospital, Sun Yat-sen University

OTHER

Sponsor Role collaborator

Peking Union Medical College Hospital

OTHER

Sponsor Role collaborator

Xiangya Hospital of Central South University

OTHER

Sponsor Role collaborator

Affiliated Cancer Hospital & Institute of Guangzhou Medical University

OTHER

Sponsor Role collaborator

The First Affiliated Hospital of Soochow University

OTHER

Sponsor Role collaborator

First Affiliated Hospital, Sun Yat-Sen University

OTHER

Sponsor Role collaborator

Fujian Medical University Union Hospital

OTHER

Sponsor Role collaborator

Fujian Cancer Hospital

OTHER_GOV

Sponsor Role collaborator

San Raffaele University Hospital, Italy

OTHER

Sponsor Role collaborator

Chinese Academy of Sciences

OTHER_GOV

Sponsor Role lead

Responsible Party

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Di Dong

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yali Zang, Ph.D.

Role: STUDY_DIRECTOR

Institute of Automation, Chinese Academy of Sciences

Locations

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Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Beijing, , China

Site Status NOT_YET_RECRUITING

Peking Union Medical College Hospital

Beijing, , China

Site Status NOT_YET_RECRUITING

Peking University Cancer Hospital & Institute

Beijing, , China

Site Status RECRUITING

Peking University People's Hospital

Beijing, , China

Site Status NOT_YET_RECRUITING

Xiangya Hospital of Central South University

Changsha, , China

Site Status NOT_YET_RECRUITING

Fujian Cancer Hospital

Fuzhou, , China

Site Status NOT_YET_RECRUITING

Fujian Medical University Union Hospital

Fuzhou, , China

Site Status RECRUITING

Affiliated Cancer Hospital & Institute of Guangzhou Medical University

Guangzhou, , China

Site Status NOT_YET_RECRUITING

First Affiliated Hospital, Sun Yat-Sen University

Guangzhou, , China

Site Status NOT_YET_RECRUITING

Nanfang Hospital of Southern Medical University

Guangzhou, , China

Site Status NOT_YET_RECRUITING

Sixth Affiliated Hospital, Sun Yat-sen University

Guangzhou, , China

Site Status RECRUITING

Yunnan Cancer Hospital

Kunming, , China

Site Status RECRUITING

Cancer Hospital of Guangxi Medical University

Nanning, , China

Site Status NOT_YET_RECRUITING

The Affiliated Hospital of Qingdao University

Qingdao, , China

Site Status NOT_YET_RECRUITING

Ruijin Hospital

Shanghai, , China

Site Status NOT_YET_RECRUITING

First Hospital of China Medical University

Shenyang, , China

Site Status NOT_YET_RECRUITING

The First Affiliated Hospital of Soochow University

Suzhou, , China

Site Status NOT_YET_RECRUITING

Tianjin Medical University Cancer Institute and Hospital

Tianjin, , China

Site Status NOT_YET_RECRUITING

Henan Cancer Hospital

Zhengzhou, , China

Site Status RECRUITING

The First Affiliated Hospital of Zhengzhou University

Zhengzhou, , China

Site Status RECRUITING

Zhenjiang First People's Hospital

Zhenjiang, , China

Site Status RECRUITING

San Raffaele University Hospital, Italy

Milan, , Italy

Site Status RECRUITING

Countries

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China Italy

Central Contacts

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Di Dong, Ph.D.

Role: CONTACT

+86 13811833760

Facility Contacts

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Xinming Zhao

Role: primary

Zhenyu Jin

Role: primary

Lei Tang

Role: primary

Yi Wang

Role: primary

Weihua Liao

Role: primary

Yangming Li

Role: primary

Changming Huang

Role: primary

Shuzhong Cui

Role: primary

Shenping Yu

Role: primary

Guoxin Li

Role: primary

Xiaochun Meng

Role: primary

Zhenhui Li

Role: primary

Guanqiao Jin

Role: primary

Hexiang Wang

Role: primary

Jun Zhang

Role: primary

Zhenning Wang

Role: primary

Jie Bao

Role: primary

Zhaoxiang Ye

Role: primary

Jing Li

Role: primary

Jianbo Gao

Role: primary

Xiuhong Shan

Role: primary

Francesco De Cobelli

Role: primary

Other Identifiers

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CASMI004

Identifier Type: -

Identifier Source: org_study_id

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