ClinicalTrials.gg
Not yet recruitingNCT07928102Updated Nov 10, 2026

Automated Reporting System for Biliopancreatic Endoscopic Ultrasound

An observational study in Biliopancreatic Diseases, sponsored by Qilu Hospital of Shandong University. Not yet recruiting at 1 site in China. Open to participants aged Up to 18 Years. Per ClinicalTrials.gov, last updated 2026-11-10.

Sponsored by Qilu Hospital of Shandong University · Observational

Updated Nov 10, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
420
Ages
Up to 18 Years
Sex
All
01

Study summary

This study aims to develop and prospectively validate an automated reporting system to generate structured preliminary biliopancreatic EUS reports using information collected before and during EUS examinations. System development will be completed before prospective validation, and patients included in system development will be separate from those enrolled in prospective validation.

The prospective multicenter validation will enroll 420 adults undergoing EUS for suspected or confirmed biliopancreatic disease. Each patient will contribute only the first eligible EUS examination. The primary endpoint is the difference in clinical acceptance rates between system-generated preliminary reports and independently prepared manual preliminary reports. Non-inferiority will be assessed using a predefined margin.

A nested endosonographer-reporting substudy will also compare completion time and quality between final reports prepared by endosonographers with and without assistance of a system-generated preliminary report. The study will assess the ability of automated reporting to support accurate and efficient EUS reporting while routine clinical care remains unchanged.

Read the detailed description

This study aims to develop and validate an automated reporting system which will generate structured preliminary reports based on preprocedural clinical data, the endosonographer's speech during EUS, EUS videos, and EUS procedural records. System development will be completed before prospective validation, using a dataset separated from the prospective validation cohort.

The prospective multicenter validation will enroll 420 adults undergoing EUS for suspected or confirmed biliopancreatic diseases. Each patient will contribute only the first eligible EUS examination as the index EUS examination. For each index examination, the automated reporting system will generate a system-generated preliminary report, while the examining endosonographer will independently generate the manual preliminary report without AI assistance. Additionally, speech-only preliminary reports and video-only preliminary reports will be generated to explore the contribution of different data inputs.

Each report will be independently assessed by two EUS experts blinded to the report source. Disagreements between the two assessors will be adjudicated by a third expert. Significant clinical corrections are defined as corrections to errors or omissions that could affect lesion localization, diagnosis, or subsequent clinical management; word and format changes alone do not qualify as significant clinical corrections. Clinical acceptance rate is defined as the proportion of all reports generated for enrolled patients that were accepted without significant clinical corrections. The primary endpoint is the difference in clinical acceptance rates between the system-generated preliminary report and the manual preliminary report of the same patient.

Additionally, a predefined nested endosonographer-reporting substudy will use the same cases to compare completion time and quality between final reports prepared by endosonographers with and without assistance of a system-generated preliminary report. Reporting tasks will be randomly assigned to endosonographers. This substudy will evaluate whether the automated reporting system can improve reporting efficiency while maintaining final report quality.

02

Conditions studied

  • Biliopancreatic Diseases

Keywords

  • Endoscopic ultrasound
  • Biliopancreatic disease
  • Automated reporting
  • Artificial intelligence
03

In context

Lead sponsor

Qilu Hospital of Shandong University is the lead sponsor of 310 studies on the registry; 188 are open to participants now.

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

04

Who can participate

Ages eligible
Up to 18 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adults undergoing EUS for suspected or confirmed biliopancreatic disease at participating hospitals.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Patients aged ≥ 18years;
  2. Patients undergoing EUS for suspected or confirmed biliopancreatic disease;
  3. Patients who voluntarily sign the .

Exclusion criteria

Exclusion Criteria:

  1. Patients who are unable to complete standard scanning due to gastrointestinal obstruction or other reasons;
  2. Patients who underwent surgical treatment or anatomical alterations of the pancreas due to lesions in other thoracic and/or abdominal organs, as well as patients with congenital anatomical abnormalities;
  3. Patients undergoing EUS primarily for therapeutic purpose such as drainage.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
420 participants (estimated)
Patient registry
No

Groups and cohorts

  • Adults undergoing biliopancreatic endoscopic ultrasound

    Adults undergoing EUS for suspected or confirmed biliopancreatic diseases will participate in this study. Each patient provides only the first eligible EUS examination for a prospective validation of the automated reporting system.

    Device: Automated Reporting System for Biliopancreatic Endoscopic Ultrasound

Interventions

  • DeviceAutomated Reporting System for Biliopancreatic Endoscopic Ultrasound

    The system that integrates preprocedural clinical data, the endosonographer's speech during EUS, EUS videos, and EUS procedural records to generate a system-generated preliminary report. The system-generated preliminary report is generated for research validation after the routine EUS examination and is compared with the endosonographer's independent manual preliminary report. The system does not determine the patient's clinical care.

06

What researchers measure

Primary outcomes

  1. Difference in clinical acceptance rates between system-generated and manual preliminary reports

    The within-patient paired difference in clinical acceptance rates, calculated as the rate for system-generated preliminary reports minus that for independently written manual preliminary reports. A report is accepted if it requires no significant clinical corrections-corrections to errors or omissions that could affect lesion localization, diagnosis or clinical management. Failed or blank system-generated reports are classified as not accepted. Non-inferiority is established if the lower limit of the two-sided 95% confidence interval is greater than -5 percentage points.

    Time frame: Preliminary reports from the index EUS examination; assessment within 60 days after EUS.

Secondary outcomes

  1. Completeness of the system-generated preliminary reports

    In the prospective paired validation, completeness is the proportion of applicable, reference-confirmed items correctly documented in each system-generated preliminary report. Items cover actual examination extent, organ findings, lesion descriptions, and sampling records.

    Time frame: Index EUS examination; report assessment within 60 days.

  2. Number of significant clinical report corrections

    In the prospective paired validation, the number of significant clinical corrections required per system-generated preliminary report will be assessed. Reductions and additions relative to the independent manual preliminary report will also be reported.

    Time frame: Index EUS examination; report assessment within 60 days.

  3. Reporting time of the system-generated preliminary report

    In the prospective paired validation, time is measured from submission of all required inputs-including preprocedural clinical data, the endosonographer's speech, EUS videos, and EUS procedure records-to availability of the first system-generated preliminary report. Failed generation will be reported separately.

    Time frame: During the first automated report-generation task for the index EUS examination, within 30 days after EUS.

  4. Reporting time of the manual preliminary report

    Description: In the prospective paired validation, time is measured from the endosonographer beginning routine report preparation to submission of the independent manual preliminary report, without AI assistance.

    Time frame: During the routine reporting session immediately after the index EUS examination, up to 60 days

  5. Difference in final report completion time with versus without AI assistance

    In the randomized endosonographer-reporting substudy, the within-case difference in total time to complete a final report is calculated as unassisted time minus assisted time. Total time includes review of source materials, report generation waiting time where applicable, writing, and verification. This outcome will be formally tested only if non-inferiority of the primary outcome is established.

    Time frame: During the assigned reporting tasks for each index EUS examination, up to 60 days

  6. Quality of final reports in the endosonographer-reporting substudy

    In the randomized endosonographer-reporting substudy, the proportion of final reports accepted without significant clinical corrections will be assessed separately for reports completed with and without access to the system-generated preliminary report. Completeness and clinically important errors and omissions will also be reported.

    Time frame: Final reports from the assigned reporting tasks for each index EUS examination; assessment within 60 days after EUS.

07

Study locations

1 site
08

References and documents

Publications

  • Nam JM. Establishing equivalence of two treatments and sample size requirements in matched-pairs design. Biometrics. 1997 Dec;53(4):1422-30. PubMed 9423257 ↗
  • Julious SA, Campbell MJ, Altman DG. Estimating sample sizes for continuous, binary, and ordinal outcomes in paired comparisons: practical hints. J Biopharm Stat. 1999 May;9(2):241-51. doi: 10.1081/BIP-100101174. PubMed 10379691 ↗
  • You H, Tao X, Dong Z, Li Y, Huang L, Li J, Du H, Deng M, Wu Z, Tan X, Yang T, Liu J, Yu H. Artificial intelligence assistance narrows the experience gap in endoscopic reporting of gastric lesions: a prospective clinical trial. Surg Endosc. 2026 Feb;40(2):1651-1660. doi: 10.1007/s00464-025-12410-z. Epub 2025 Dec 4. PubMed 41345528 ↗
  • Figueroa RL, Zeng-Treitler Q, Kandula S, Ngo LH. Predicting sample size required for classification performance. BMC Med Inform Decis Mak. 2012 Feb 15;12:8. doi: 10.1186/1472-6947-12-8. PubMed 22336388 ↗
  • Tango T. Equivalence test and confidence interval for the difference in proportions for the paired-sample design. Stat Med. 1998 Apr 30;17(8):891-908. doi: 10.1002/(sici)1097-0258(19980430)17:83.0.co;2-b. PubMed 9595618 ↗
  • Jiang R, Chen B, Dong Z, Zeng X, You H, Li Y, Deng Y, Mu G, Wang J, Huang L, Li J, Cheng D, Zhou W, Yu H. Domain specific multimodal large language model for automated endoscopy reporting with multicenter prospective validation. NPJ Digit Med. 2026 Mar 28;9(1):394. doi: 10.1038/s41746-026-02569-7. PubMed 41904204 ↗
  • Li X, Yao L, Wu H, Tan W, Zhou W, Zhang J, Dong Z, Ding X, Yu H. A deep learning-based, real-time image report system for linear EUS. Gastrointest Endosc. 2025 Jun;101(6):1166-1173.e11. doi: 10.1016/j.gie.2024.10.030. Epub 2024 Oct 19. PubMed 39427992 ↗
  • Bonmati E, Hu Y, Grimwood A, Johnson GJ, Goodchild G, Keane MG, Gurusamy K, Davidson B, Clarkson MJ, Pereira SP, Barratt DC. Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Trans Med Imaging. 2022 Jun;41(6):1311-1319. doi: 10.1109/TMI.2021.3139023. Epub 2022 Jun 1. PubMed 34962866 ↗

Individual participant data

Plan to share: No

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 10, 2026
Show all 1 update
  1. Nov 10, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07928102
Collaborators
Liaocheng People's Hospital, Taian City Central Hospital, Qilu Hospital of Shandong University (Qingdao), Binzhou People's Hospital, Shandong Provincial Hospital, The Affiliated Hospital of Qingdao University, Qianfoshan Hospital, Shengli Oilfield Hospital, Binzhou Medical University
Responsible party
Sponsor
First posted
Nov 10, 2026
Start date
Nov 1, 2026 (estimated)
Primary completion
Jun 30, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Nov 10, 2026

Study contacts

Zhen Li
Contact
qilulizhen@sdu.edu.cn
86+18560086106

Oversight

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

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