Related Experiment Video
Updated: May 16, 2025

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
Comparison of Manual Versus QuPath Software-based Immunohistochemical Scoring Using Oral Squamous Cell Carcinoma as a
Hannah Horbas1, Marcus Bauer1, Alexander Eckert2
1Institute of Pathology, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Digital analysis using QuPath software shows high comparability to manual evaluation for oral cancer biomarkers. This offers reproducible and accurate biomarker assessment for large studies, though requires expert annotation.
Area of Science:
- Oncology
- Digital Pathology
- Biomarker Analysis
Background:
- Manual immunohistochemical analysis is the gold standard but is time-consuming and subjective.
- Image analysis software offers a potential solution for objective biomarker assessment.
Purpose of the Study:
- To evaluate the comparability of digital assessment using QuPath software versus manual evaluation.
- To examine inter-evaluator variability between manual and software-based analyses for oral squamous cell carcinoma biomarkers.
Main Methods:
- Six tissue microarrays from 309 oral squamous cell carcinoma patients were analyzed.
- Immunohistochemical staining for Ki67, EGF-R, and MHC-I was performed.
- Analyses were conducted by two manual evaluators and the QuPath software.
Main Results:
- High to excellent Spearman correlation coefficients were observed for all three biomarkers (p<0.001).
- Bland-Altman plots indicated high agreement between manual and software-based analyses.
- High comparability was demonstrated between manual and software-based evaluation methods.
Conclusions:
- Digital assessment with QuPath is comparable to manual evaluation for oral cancer biomarkers.
- Software-based analysis offers objective, reproducible, and accurate results for large-scale biomarker studies.
- Accurate annotation and user expertise are crucial prerequisites for effective software-based analysis.
More Related Videos
07:43Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples
Published on: July 29, 2017
12:03Multi-photon Imaging of Tumor Cell Invasion in an Orthotopic Mouse Model of Oral Squamous Cell Carcinoma
Published on: July 25, 2011