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AI Evaluation of Pancreatic Exocrine Insufficiency in CP Patients

NCT06278272 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 504

Last updated 2024-02-26

No results posted yet for this study

Summary

Early assessment of pancreatic exocrine insufficiency (PEI) is crucial for determining appropriate chronic pancreatitis (CP) treatment plans, thereby avoiding unnecessary suffering and further complications in patients. A total of 504 patients with CP who underwent fecal elastase-1 test and contrast-enhanced CT at Changhai Hospital between January 2018 and April 2023 were enrolled in this study. The investigators aim to establish a fully automated workflow to establish a PEI classification model based on radiomic features, semantic features and deep learning features on enhanced CT images for evaluating the severity of PEI.

Conditions

  • Chronic Pancreatitis
  • Exocrine Pancreatic Insufficiency
  • Machine Learning
  • Deep Learning

Sponsors & Collaborators

  • Changhai Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-03-01
Primary Completion
2024-01-01
Completion
2024-01-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06278272 on ClinicalTrials.gov