NCT07243847Completed
Recurrence and Prognosis Prediction Model for Gastric Cancer
Artificial Deep Learning-Based Model for Predicting Postoperative Recurrence in Gastric Cancer
Source: ClinicalTrials.gov · Last updated 24 Nov 2025
Brief summary (registry, in English)
This study, utilizing a large-scale multicenter Eastern database, has established a Deep Learning-based predictive model for recurrence following gastric cancer surgery, which demonstrates robust discriminatory power for early recurrence. Furthermore, the individualized recurrence probability generated by this model can predict long-term postoperative prognosis and effectively stratify patients based on risk, thereby guiding personalized treatment choices. This individualized risk probability is also applicable to both adjuvant chemotherapy and neoadjuvant chemotherapy populations, offering valuable support for precision treatment in gastric cancer.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 5000 (actual)
- First submitted
- 16 Nov 2025
- Start date
- 1 Jan 2000
- Primary completion date
- 1 Oct 2025
- Lead sponsor
- Fudan University
- NCT number
- NCT07243847
What you commit to
- Study type: Observational
- Participants enrolled: 5000
- From 1 Jan 2000 to the primary completion date, 1 Oct 2025
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Presence of distant metastases detected preoperatively or intraoperatively; Prior neoadjuvant chemotherapy or radiotherapy; Incomplete general clinical data.
Who the study is looking for
- Pathologically confirmed gastric adenocarcinoma; No distant metastases confirmed by preoperative examinations such as chest X-ray, abdominal ultrasonography, and upper abdominal computed tomography; Achievement of R0 resection.
Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.