Clinical trial · Observational
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
NCT07045181CI-TRIAL-00095970completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aims to develop XGBoost machine learning model to predict pancreatic neoplasms in CP patients with focal pancreatic lesions.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Chronic Pancreatitis | — | UNRESOLVED | — |
| Machine Learning | — | UNRESOLVED | — |
| Pancreatic Neoplasm | Pancreatic Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| XGBoost machine learning | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Pancreatic neoplasm group
- description
- This cohort consists of chronic pancreatitis patients whose focal pancreatic lesions were diagnosed as pancreatic neoplasm
- interventionNames
- Diagnostic Test: XGBoost machine learning
- label
- Non-pancreatic neoplasm group
- description
- This cohort consists of chronic pancreatitis patients whose focal pancreatic lesions were diagnosed as benign lesions
- interventionNames
- Diagnostic Test: XGBoost machine learning
Primary outcomes (1)
- measure
- Diagnostic yield
- timeFrame
- 10 years
- description
- The diagnostic yield of XGBoost machine learning, including AUC、Sensitivity、Specificity
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Diagnosis of chronic pancreatitis * Patients has indeterminate focal pancreatic lesions discovered through contrast-enhanced CT scans Exclusion Criteria: * Patients had incomplete clinical data * 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
References
Publications (3)
- BACKGROUNDKirkegard J, Mortensen FV, Cronin-Fenton D. Chronic Pancreatitis and Pancreatic Cancer Risk: A Systematic Review and Meta-analysis. Am J Gastroenterol. 2017 Sep;112(9):1366-1372. doi: 10.1038/ajg.2017.218. Epub 2017 Aug 1. PMID 28762376
- BACKGROUNDHao L, Zeng XP, Xin L, Wang D, Pan J, Bi YW, Ji JT, Du TT, Lin JH, Zhang D, Ye B, Zou WB, Chen H, Xie T, Li BR, Zheng ZH, Wang T, Guo HL, Liao Z, Li ZS, Hu LH. Incidence of and risk factors for pancreatic cancer in chronic pancreatitis: A cohort of 1656 patients. Dig Liver Dis. 2017 Nov;49(11):1249-1256. doi: 10.1016/j.dld.2017.07.001. Epub 2017 Jul 15. PMID 28756974
- BACKGROUNDKorpela T, Udd M, Mustonen H, Ristimaki A, Haglund C, Seppanen H, Kylanpaa L. Association between chronic pancreatitis and pancreatic cancer: A 10-year retrospective study of endoscopically treated and surgical patients. Int J Cancer. 2020 Sep 1;147(5):1450-1460. doi: 10.1002/ijc.32971. Epub 2020 Apr 3. PMID 32162688