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RecruitingNCT06369909Updated Nov 25, 2024

Study on AI-assisted Multimodal Diagnosis System of Autoimmune Pancreatitis

An observational study in Autoimmune Pancreatitis, sponsored by Peking Union Medical College Hospital. Recruiting at 1 site in China. Open to participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-11-25.

Sponsored by Peking Union Medical College Hospital · Observational

From the registry’s dates

  • Primary completion was expected by Jan 2025, 1 year 8 months ago, but the record still lists the study as recruiting.
  • Started Jan 2024; still recruiting 2 years 8 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
180
Ages
18 Years to 80 Years
Sex
All
01

Study summary

The existing comprehensive diagnostic system for autoimmune pancreatitis (AIP) is complex, with multidimensional clinical information including morphological changes and a lack of specific biomarkers. Endoscopic ultrasound (EUS) can provide all the elements for morphological diagnosis of AIP, but the long learning curve and large observer differences make it difficult to popularize and promote. The cooperation units of the three regions in this project have found in the early stage that Klebsiella pneumoniae (KP) induced follicular helper T cells (Tfh) activation is an important mechanism of AIP, but the identification of pathogenic components of the strain and clinical validation need to be explored. We have established a national multicenter AIP queue in the early stage and extracted EUS audio-visual features to establish a scoring model, but intelligent assistance is still needed to improve efficiency. Therefore, we plan to integrate gut microbiota, Tfh activation markers, and EUS imaging features to establish an AI assisted multimodal diagnostic system for AIP. This study will collaborate across multiple centers to identify and validate the components that induce Tfh activation in KP bacterial cells, to extract EUS pancreatic ultrasound features and optimize artificial intelligence assisted diagnostic algorithms, and to establish and validate an artificial intelligence assisted multimodal diagnostic system based on clinical information, biomarkers, and EUS. The aim of this study is to provide new diagnosis and treatment evaluation methods for AIP with high accuracy, convenience, and easy promotion for clinical practice.

02

Conditions studied

  • Autoimmune Pancreatitis

Keywords

  • Autoimmune pancreatitis
  • Endoscopic ultrasonography
  • Artificial intelligence
  • Follicular helper T cells
  • Klebsiella pneumoniae
03

In context

Pancreatitis

752 studies on the registry are indexed under Pancreatitis; 181 are open to participants now.

This study's planned enrollment of 180 is close to the median of 180 across 277 observational studies indexed under Pancreatitis.

Browse Pancreatitis studies →

Lead sponsor

Peking Union Medical College Hospital is the lead sponsor of 1,115 studies on the registry; 463 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Patients with pancreatic solid lesions suspected or diagnosed with AIP. The diagnosis of AIP must comply with the criteria of the Chinese Guidelines for the Diagnosis and Treatment of Autoimmune Pancreatitis (2022).

Inclusion criteria

  • From the beginning of the study to the end of the study, patients with pancreatic solid lesions suspected or diagnosed with AIP were treated at Peking Union Medical College Hospital and related research centers.
  • The patients themselves and their families understood and were willing to participate in this study, and signed an informed consent form.
  • The diagnosis of AIP must comply with the criteria of the Chinese Guidelines for the Diagnosis and Treatment of Autoimmune Pancreatitis (2022).

Exclusion criteria

Exclusion Criteria:

  • Individuals who are not suitable for endoscopic examination, including but not limited to: generally poor condition, severe cardiovascular and pulmonary diseases, and difficulty tolerating the examination, coagulation disorders and those who are deemed unsuitable for endoscopic examination by an endoscopist after a face-to-face consultation.
  • Patients or family members are unable to understand the conditions and objectives of this study.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
180 participants (estimated)
Target follow-up
6 Months
Patient registry
Yes
Biospecimen retention
Samples with dna

Groups and cohorts

  • AIP group

    Suspected AIP, pancreatic mass patients who have not initiated steroid hormone therapy

    Procedure: EUS-FNA

  • Control group

    Pancreatic mass patients considering malignancy and planning to undergo EUS-FNA

    Procedure: EUS-FNA

Interventions

  • ProcedureEUS-FNA

    For patients with pancreatic masses, EUS-FNA is performed to confirm pathological diagnosis, and pancreatic biopsy samples and duodenal mucosal biopsy samples are collected.

06

What researchers measure

Primary outcomes

  1. Tfh level in blood

    The type and level of follicular helper T cells in peripheral blood for each patient

    Time frame: from enrollment to 3 years

  2. Microbiota composition measured by 16S rRNA sequencing

    The gut microbiota of fecal samples and the intestinal microbiota of duodenal biopsy samples using 16S rRNA sequencing for each patient

    Time frame: from enrollment to 3 years

  3. AI-EUS differentiation

    The differentiation of EUS graphs by AI system

    Time frame: from enrollment to 3 years

  4. Cytokine level in blood

    IL-4、IL-21、CXCL13、IgG、IgE level in peripheral blood

    Time frame: from enrollment to 3 years

  5. Single cell sequencing

    Single cell sequencing results of pancreatic lesion biopsy samples and duodenal mucosal biopsy samples in autoimmune pancreatitis.

    Time frame: At the time of enrollment

07

Study locations

1 of 1 sites recruiting
  • Peking Union Medical College Hospital, Chinese Academy of Medical Sciences
    Beijing, Beijing 100730, China
    Recruiting
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 25, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT06369909
Lead sponsor
Peking Union Medical College Hospital
Collaborators
Tianjin Medical University General Hospital, The Second Hospital of Hebei Medical University
Responsible party
Wu Xi (Professor, Peking Union Medical College Hospital) — Principal investigator
First posted
Apr 17, 2024
Start date
Jan 31, 2024
Primary completion
Jan 31, 2025 (estimated)
Completion
Jan 31, 2026 (estimated)
Last update
Nov 25, 2024

Study contacts

Xi Wu, M.D.
Contact
xiwbj@aliyun.com
13683296860

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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