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Interview with Prof. Timm Denecke about the RACOON-MARDER project and AI-powered early detection of liver cancer using MRI
An in-depth interview with Prof. Timm Denecke about the RACOON-MARDER project

Rethinking Early Detection: How RACOON-MARDER Aims to Spot Liver Cancer Sooner

Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By combining MRI imaging, clinical data, and AI-based risk stratification, researchers hope to identify high-risk patients earlier and enable personalized, intensified surveillance beyond what traditional ultrasound can offer.

In this interview, Prof. Dr. Timm Denecke (University Hospital Leipzig) explains how AI can make the invisible visible - and why the RACOON infrastructure is key to advancing liver cancer research.

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Structured Reporting Improves TNM Classification Accuracy and Radiologist Satisfaction

In a collaborative, multi-center study, radiology experts developed and validated in mint Lesion a software-assisted structured reporting (SR)…

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Leverage Advanced AI-Driven Nodule Detection and Analysis for Comprehensive Patient Care

Discover the power of streamlined AI-driven lung screening with contextflow ADVANCE Chest CT integrated into mint Lesion. With automated lung nodule…

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Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer

In a retrospective study conducted at the University Hospital Cologne, the radiological criteria iRECIST and RECIST 1.1 were compared for assessing…

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