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NCT07045181Completed

Prediction Model of Pancreatic Neoplasms in CP Patients With Focal Pancreatic Lesions

Interpretable Prediction of Pancreatic Neoplasms in Chronic Pancreatitis Patients With Focal Pancreatic Lesions Based on XGBoost Machine Learning and SHAP

Source: ClinicalTrials.gov · Last updated 30 Sept 2025

Brief summary (registry, in English)

This study aims to develop XGBoost machine learning model to predict pancreatic neoplasms in CP patients with focal pancreatic lesions.

Status (registry)
Completed
Study type
Observational
Enrollment
113 (actual)
First submitted
22 Jun 2025
Start date
1 Jul 2025
Primary completion date
1 Aug 2025
Lead sponsor
Changhai Hospital
NCT number
NCT07045181

What you commit to

  • Study type: Observational
  • Participants enrolled: 113
  • From 1 Jul 2025 to the primary completion date, 1 Aug 2025
  • 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, 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

  • Patients had no surgical pathology results for the focal pancreatic lesions and loss to follow-up, indicating that a final diagnosis of the focal pancreatic lesions could not been established

Other

  • Patients had incomplete clinical data

Who the study is looking for

  • Diagnosis of chronic pancreatitis
  • Patients has indeterminate focal pancreatic lesions discovered through contrast-enhanced CT scans

Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.

SiteCityCountrySite status
Changhai Hospital
Coordinator of this site? Confirm its status		ShanghaiChinaUnknown status

This page is information, not medical advice. Discuss any trial with your doctor.