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Potential of using structured data from clinical trials and routine for AI and radiomics research

Dr. Nils Grosse Hokamp shares his experience of using mint Lesion™ at the University Hospital Cologne in this brief interview. He talks about how they have expanded their usage of mint Lesion™ over the years, how it has changed their clinical studies, and his view on the potential of structured data for research.

mint Lesion usage during a clinical trial read, featuring the TGRM export tool.
Bridging the Gap Between RECIST and Survival: Why the FDA’s Analysis of the g Value is a Game-Changer

For decades, oncology trials have relied on RECIST 1.1 to evaluate drug efficacy. However, these categorical "snapshot" evaluations do not always…

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Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.
The two-day “RECIST and Beyond” workshop at radCIO Cologne offered intensive hands-on training on RECIST, iRECIST, mRECIST and LI-RADS, with real-case reporting performed directly in mint Lesion.
Successful “RECIST and Beyond” Workshop in Cologne: Advancing Precision in Oncologic Imaging

How can complex tumor findings be assessed accurately, reproducibly, and in line with clinical guidelines?

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Screenshot of the mint Lesion interface showing RANO 2.0 configuration, tumor burden calculations, and structured neuro-oncology assessment tools.
mint Lesion fully supports RANO 2.0 implementation with configurable parameters, automated tumor burden calculations, and structured workflows for neuro-oncology clinical trials.
Implementing RANO 2.0 for Neuro-Oncology Clinical Trials in mint Lesion

Tumor response assessment in neuro-oncology clinical trials requires careful attention to measurement protocols and confirmation scan requirements. To…

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