Enhance productivity and accuracy in analyzing
PD-L1 IHC expression across broad cancer types.
Lunit SCOPE PD-L1 assists in detecting and classifying PD-L1 biomarker expression by analyzing digitized IHC whole slide images from formalin-fixed paraffin embedded (FFPE) tissue.
It supports consistent, quantitative assessment of PD-L1 status and is designed to enhance productivity.
Lunit SCOPE PD-L1 enhances scoring accuracy for complex images, including edge or ambiguous samples1.
¹Kim H. et al. 2024. Clinical Validation of Artificial Intelligence–Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non–Small Cell Lung Cancer, JCO Precis Oncol, 2024;8: e2300556
Lunit SCOPE PD-L1 delivers objective, reliable analysis results with proven support for reading consistency and improved scoring agreement.²
²Choi S. et al. 2022. AI–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better prediction
Lunit SCOPE PD-L1 can improve efficiency by reducing reading time by 32%.³
³Kim S. et al. 2022. Observer performance study to examine the feasibility of the AI-powered PD-L1 analyzer to assist pathologists’ assessment of PD-L1 expression using tumor proportion score in non–small cell lung cancer, JCO, 2022;40(16)
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