Actively Recruiting
AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
Led by Chinese Academy of Sciences · Updated on 2023-09-28
200
Participants Needed
22
Research Sites
329 weeks
Total Duration
On this page
Sponsors
C
Chinese Academy of Sciences
Lead Sponsor
P
Peking University Cancer Hospital & Institute
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older
- Pathologically diagnosed with advanced gastric cancer according to AJCC TNM staging
- No prior systemic anti-cancer treatments before neoadjuvant chemotherapy
- No surgery for local progression or distant metastasis before treatment
- Received standard neoadjuvant chemotherapy with documented treatment details
- CT imaging and biopsy pathology images taken within one month before starting chemotherapy
- Possess comprehensive preoperative clinical information and postoperative tumor regression grading
You will not qualify if you...
- CT or pathology images are unclear and prevent lesion assessment
- Diagnosed with other concurrent tumors
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 22 locations
1
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Beijing, China
Not Yet Recruiting
2
Peking Union Medical College Hospital
Beijing, China
Not Yet Recruiting
3
Peking University Cancer Hospital & Institute
Beijing, China
Actively Recruiting
4
Peking University People's Hospital
Beijing, China
Not Yet Recruiting
5
Xiangya Hospital of Central South University
Changsha, China
Not Yet Recruiting
6
Fujian Cancer Hospital
Fuzhou, China
Not Yet Recruiting
7
Fujian Medical University Union Hospital
Fuzhou, China
Actively Recruiting
8
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
Guangzhou, China
Not Yet Recruiting
9
First Affiliated Hospital, Sun Yat-Sen University
Guangzhou, China
Not Yet Recruiting
10
Nanfang Hospital of Southern Medical University
Guangzhou, China
Not Yet Recruiting
11
Sixth Affiliated Hospital, Sun Yat-sen University
Guangzhou, China
Actively Recruiting
12
Yunnan Cancer Hospital
Kunming, China
Actively Recruiting
13
Cancer Hospital of Guangxi Medical University
Nanning, China
Not Yet Recruiting
14
The Affiliated Hospital of Qingdao University
Qingdao, China
Not Yet Recruiting
15
Ruijin Hospital
Shanghai, China
Not Yet Recruiting
16
First Hospital of China Medical University
Shenyang, China
Not Yet Recruiting
17
The First Affiliated Hospital of Soochow University
Suzhou, China
Not Yet Recruiting
18
Tianjin Medical University Cancer Institute and Hospital
Tianjin, China
Not Yet Recruiting
19
Henan Cancer Hospital
Zhengzhou, China
Actively Recruiting
20
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, China
Actively Recruiting
21
Zhenjiang First People's Hospital
Zhenjiang, China
Actively Recruiting
22
San Raffaele University Hospital, Italy
Milan, Italy
Actively Recruiting
Research Team
D
Di Dong, Ph.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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