An AI Algorithm for Lymphocyte Focus Score of Minor Salivary Gland Biopsy Samples for Diagnosing Sjogren's Syndrome

April 24, 2026 updated by: Moyingqian, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

An Artificial Intelligence Algorithm for Lymphocyte Focus Score in Whole Slide Images of Minor Salivary Gland Biopsy Samples for Diagnosing Sjogren's Syndrome : a Blinded Clinical Validation and Deployment Study

The aim of this research is to discover an artificial intelligence (AI) algorithm for lymphocyte focus score in whole slide images of labial minor salivary gland (SG) biopsy samples for diagnosing Sjogren's Syndrome, in order to enhance the precision of pathological interpretation of labial minor SG biopsy samples in patients with suspected Sjogren's syndrome and aid clinicians make an accurate diagnose. A remote AI-assisted pathological interpretation platform for lymphocyte focus score in labial SG will be built for the global based on the research results. The research will propose the AI-assisted pathological interpretation of lymphocyte focus score in labial minor SG biopsy samples in the future guidelines for the diagnosis and treatment of Sjogren's syndrome.

The research will:

  1. Develop and debug the AI algorithm for lymphocyte focus score in whole slide images of labial minor SG biopsy samples for diagnosing Sjogren's Syndrome;
  2. Internal test of the AI algorithm;
  3. Clinical validation of the AI algorithm with blind method in multiple centers; 4)Built a remote AI-assisted pathological interpretation platform for lymphocyte focus score in labial SG for the global and Explore its clinical application.

Study Overview

Status

Completed

Conditions

Detailed Description

  1. Develop and debug the AI algorithm for lymphocyte focus score in whole slide images of labial minor SG biopsy samples for diagnosing Sjogren's Syndrome; A total of 200 H&E staining slides of labial minor SG biopsy samples are collected from Sun Yat-sen Memorial Hospital of Sun Yat-sen University and scanned into digital pathological images. The ground truth of gland tissue area and lymphocyte foci numbers in each image is interpreted by three senior pathologists with over 5 years of related experience.
  2. Internal test of the AI algorithm; A total of 500 additional digital pathological images of labial gland biopsy tissues are collected from Sun Yat-sen Memorial Hospital of Sun Yat-sen University. The ground truth of gland tissue area and lymphocyte foci numbers in each images is interpreted by three senior pathologists with over 5 years of related experience. The AI algorithm's accuracy, specificity, sensitivity, positive predictive value and negative predictive value in evaluating the area of labial gland and the number of lymphocyte foci are calculated. Comparison of whether the image meets the criteria for Sjögren's syndrome (focus score greater than 1) is also conducted between the AI algorithm and the ground truth.
  3. Clinical validation of the AI algorithm with blind method in multiple centers; A total of 600 additional digital pathological images of labial gland biopsy tissues are collected from six external centers. The ground truth of gland tissue area and lymphocyte foci numbers in each images is interpreted by three senior pathologists with over 5 years of related experience. The AI algorithm's accuracy, specificity, sensitivity, positive predictive value and negative predictive value in evaluating the area of labial gland and the number of lymphocyte foci are calculated. Comparison of whether the image meets the criteria for Sjögren's syndrome (focus score greater than 1) is also conducted between the AI algorithm and the ground truth.

4)Built a remote AI-assisted pathological interpretation platform for lymphocyte focus score in labial SG for the global and Explore its clinical application.

Digital pathological images of labial gland biopsy tissue can be uploaded to the Labial Gland Pathological Focus Score Remoting platform. AI-assisted pathological interpretation on gland tissue area, lymphocyte foci numbers, and whether meeting the criteria for Sjögren's syndrome (focus score greater than 1) is compared with the ground truth.

Study Type

Observational

Enrollment (Actual)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510120
        • Ying-Qian Mo

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The suspected SjS patients presenting with ocular dryness and/or oral dryness, as determined by the American-European Consensus Group (AECG) questions

Description

Inclusion Criteria:

  • The original format of digital pathological images of labial gland biopsy tissue from patients with suspected Sjögren's Syndrome uploaded to the designated platform.

Exclusion Criteria:

  1. Overlapping layers of cells due to excessively thick sections;
  2. Excessive tissue defects caused by incomplete sectioning or poor staining on slides;
  3. Absence of labial gland;
  4. Insufficient clarity in the image.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The accuracy of pathological interpretation of focal index of labial gland tissue
Time Frame: during the procedure
The ground truth of gland tissue area and lymphocyte foci numbers in consecutive images is interpreted by three senior pathologists with over 5 years of related experience. The focal score is determined by the gland tissue area and the number of lymphocyte foci. AI-assisted interpretation is compared with ground truth.
during the procedure

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The precision of pathological interpretation regarding the area of glandular tissue and the count of lymphocyte foci in labial gland tissue.
Time Frame: during the procedure
AI-assisted interpretation is compared with ground truth.
during the procedure

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2023

Primary Completion (Actual)

August 30, 2024

Study Completion (Actual)

October 30, 2024

Study Registration Dates

First Submitted

May 11, 2024

First Submitted That Met QC Criteria

May 30, 2024

First Posted (Actual)

May 31, 2024

Study Record Updates

Last Update Posted (Actual)

April 30, 2026

Last Update Submitted That Met QC Criteria

April 24, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • SYSKY-2023-915-01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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