NCT06760234Completed
Multimodal Deep Learning Model Predicts Pancreatic Cancer Prognosis
Prediction of Pancreatic Cancer Prognosis Using a Multimodal Deep Learning Model Based on Intratumoral Immune Microenvironment
Source: ClinicalTrials.gov · Last updated 7 Jan 2026
Brief summary (registry, in English)
This study describes the development and validation of a deep learning prediction model, which extracts deep learning features from preoperative enhanced CT scans and analyzes postoperative pathological specimens of pancreatic cancer patients. The aim is to predict patient prognosis and response to chemotherapy treatment.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 247 (actual)
- First submitted
- 29 Dec 2024
- Start date
- 5 Jul 2024
- Primary completion date
- 15 Dec 2024
- Lead sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
- Diseases
- Pancreatic cancer
- NCT number
- NCT06760234
What you commit to
- Study type: Observational
- Participants enrolled: 247
- From 5 Jul 2024 to the primary completion date, 15 Dec 2024
- 1 site in 1 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 design.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Multiple primary malignancies;
- History of malignancy.
Other
- Missing or inadequate quality of CT,
- Incomplete clinical or pathological data.
Who the study is looking for
- Patients with pancreatic cancer, diagnosed through pathology;
- Patients underwent surgery and received adjuvant chemotherapy after surgery.
Age in the registry: 18 years to 90 years · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Save your city in your profile to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| The Second Affiliated Hospital Zhejiang University School of Medicine Coordinator of this site? Confirm its status | Hangzhou | China | Unknown status |
Related publications
- Noninvasive evaluation and clinical value prediction of tumor-infiltrating neutrophil-to-T-cell ratio in pancreatic ductal adenocarcinoma.NPJ Digit Med · 2026 · PMID 41484243
This page is information, not medical advice. Discuss any trial with your doctor.