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A Study on the Quality Grading System of HE Slices Assisted by Artificial Intelligence for Lymph Node Pathology

A Study on the Quality Grading System of HE Slices Assisted by Artificial Intelligence for Lymph Node Pathology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400095031
Enrollment
Unknown
Registered
2024-12-31
Start date
2025-01-10
Completion date
Unknown
Last updated
2025-01-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

quality control of HE slices in lymph nodes

Interventions

Gold Standard:Three senior pathologists evaluated the quality of HE sections according to the evaluation table, and the gold standard was when the consensus or more than 2/3 of the evaluation opinions
Index test:This study adopts a dual Ostu threshold segmentation algorithm integrating the RBG color channel and the HSV channel to eliminate the interference of background information in pathological

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.There are no restrictions on age and genderCases of puncture and biopsy of lymph nodes; 2.Cases of puncture and biopsy of lymph nodes; 3.All cases were lymph node; 4.tissuesIt can be different lymph nodes in the same patient;

Exclusion criteria

Exclusion criteria: 1.The re-examination under the microscope confirmed that it was not lymph node tissue; 2.The length of the punctured tissue was <1cm;

Design outcomes

Primary

MeasureTime frame
true positive rate;

Secondary

MeasureTime frame
ROC AUC;diagnostic speed;false negative rate;

Countries

China

Contacts

Public ContactLuo qingya

The First Affiliated Hospital of Army Medical University

44084700@qq.com+86 23 68767645

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026