At a glance
ClinicalIndex Comparison RecordN/ACompleted· 247 enrolled
Drug / intervention
No Interventions +1 moreother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.
Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
Prediction of Pancreatic Cancer Prognosis Using a Multimodal Deep Learning Model Based on Intratumoral Immune Microenvironment
Second Affiliated Hospital, School of Medicine, Zhejiang University·observational·Posted Jan 6, 2025·Updated Jan 7, 2026
In Brief
An observational study evaluating No Interventions for Pancreatic Adenocarcinoma. Completed, enrolled 247 participants across 1 site.
Detailed Summary
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.
Study Details
Study Typeobservational
Allocation--
Masking--
Primary Purpose--
ConditionsPancreatic Adenocarcinoma
CountriesChina
Timeline
N/ACompletedFinished
20252026
Enrollment StartJul 2024
Primary CompletionDec 2024
First PostedJan 2025
Study CompletionJan 2026
TodayJul 2026
First PostedJan 6, 2025
Enrollment StartJul 5, 2024
Primary CompletionDec 15, 2024
Study CompletionJan 3, 2026
TodayJul 2, 2026
Enrollment to primary: 5 monthsPosted 1.5 years ago
Interventions
No Interventionsother
The high-throughput extraction of quantitative image features from medical images
No Interventionsother
Immunohistochemical analysis