Intra-slide calibration technology improves immunohistochemical harmonization within and between anatomic pathology...

Area of Science:

• Computational pathology
• Digital pathology
• Neuro-oncology research

Background:

• Reproducibility of immunohistochemistry (IHC) in tumor analysis across laboratories is a significant challenge.
• Inter-laboratory variations in p53 IHC assays for glioblastoma (GB), IDH-wildtype biopsies hinder accurate diagnosis.

Purpose of the Study:

• To evaluate the effectiveness of intra-slide calibration technology in reducing discrepancies in p53 IHC assays.
• To assess the impact of this technology on inter-laboratory consistency for brain tumor diagnostics.

Main Methods:

• Utilized intra-slide calibration technology with a 0-100% concentration scale for standardized DAB precipitation.
• Performed independent p53 IHC on glioblastoma samples from two laboratories, followed by digital image analysis.
• Employed R's EBImage package for feature extraction, UMAP for dimensionality reduction, and DBSCAN for clustering.

Main Results:

• Identified significant differences in intensity and texture clustering between laboratories without calibration.
• Intra-slide calibration technology, combined with polynomial regression, achieved approximately 90% data harmonization.
• Demonstrated improved intra-laboratory consistency and inter-laboratory reproducibility.

Conclusions:

• Computational pathology, utilizing intra-slide calibration technology, is crucial for enhancing diagnostic reproducibility.
• This technology supports more objective, data-driven decision-making in neuro-oncology.
• Advances in standardization strengthen the reliability of diagnostic assessments.