Aiforia Colorectal Cancer QuantCRC

Aiforia® Colorectal Cancer QuantCRC is a prognostic AI model designed to identify important histological features in colorectal cancer tissue samples and generate a recurrence prediction estimate to support treatment decisions. By combining detected tissue characteristics with two additional clinical parameters, the model produces a colorectal cancer recurrence risk score that can inform oncologists and pathologists working in the gastrointestinal field. QuantCRC is currently available for Research Use Only (RUO) and for Performance Studies Only (PSO) across all market areas.

Developed in close collaboration with the Mayo Clinic, QuantCRC was built and validated using the Aiforia® Platform and Aiforia® Create, and its effectiveness has been demonstrated through peer-reviewed research published in leading journals including Gastroenterology, Histopathology, and Clinical Cancer Research.

Development and Validation

• Dr. Rish Pai from the Mayo Clinic trained the AI model to detect multiple pathologic features of colorectal carcinoma, using Aiforia® Create end to end and annotating all training data himself.
• QuantCRC was verified and validated within the Aiforia® Platform using whole slide images, benchmarked against independent reviews by pathologists from eight different hospitals.
• The model's effectiveness has been demonstrated through retrospective analysis across multiple independent patient sample cohorts, with findings published in three peer-reviewed studies (Pai et al. 2022, Pai et al. 2021, Wu et al. 2024).

Potential Clinical Value

• Improved risk stratification: QuantCRC improves accuracy in predicting recurrence-free survival for colorectal cancer patients, helping to identify individuals who may benefit from more intensive treatment or closer monitoring.
• Tailored treatment plans: The model enables clinicians to design individualized treatment strategies based on each patient's specific prognosis.
• Cost savings in treatment: By optimizing the targeting of expensive chemotherapy drugs, implementing QuantCRC has the potential to generate substantial cost savings in colorectal cancer treatment.

Platform and AI Capabilities

• QuantCRC leverages deep learning to quantify histological features including tumour budding and poorly differentiated clusters within colorectal carcinoma samples.
• The model operates on whole slide images, integrating seamlessly within the Aiforia® Platform for digital pathology workflows.
• AI-assisted image analysis is designed to increase efficiency, precision, and consistency across pathology workflows, supporting both research and future clinical diagnostic applications.

QuantCRC is part of Aiforia's broader suite of AI-powered image analysis solutions, which span diagnostic pathology, preclinical studies, and medical research. The platform supports a range of use cases and is compatible with whole slide images from multiple leading scanner vendors.