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Evaluation of Axillary Lymph Node Metastasis Status of Breast Cancer Based on Pathological Images and Virtual Staining

NCT06486155 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2200

Last updated 2024-08-13

No results posted yet for this study

Summary

The goal of this observational study is to develop an artificial intelligence model to transform unstained lymph node tissue slice images directly into stained images. The main questions it aims to answer are:

Can the virtual staining model generate hematoxylin and eosin (H\&E) and immunohistochemistry (IHC) images suitable for clinical diagnosis from unstained paraffin-embedded lymph node slice images, including those from breast axillary lymph nodes and other tumor lymph nodes?

Can the virtual staining model generate H\&E and IHC images suitable for clinical diagnosis from unstained frozen sentinel lymph node slice images from breast cancer patients?

Researchers will retrospectively collect paraffin-embedded lymph node slices from tumor patients and prospectively collect frozen sentinel lymph node slices from breast cancer patients.

Conditions

  • Virtual Staining
  • Lymph Node Metastasis
  • Breast Cancer
  • Digital Pathology

Sponsors & Collaborators

  • Affiliated Cancer Hospital of Shantou University Medical College

    collaborator OTHER

  • Yunnan Cancer Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-31
Primary Completion
2025-06-30
Completion
2025-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06486155 on ClinicalTrials.gov