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Potential of longitudinal data from single site and multi-center clinical trials for AI-research

Prof. Dr. Hans-Christoph Becker from Stanford University, a long-standing user of mint Lesion™, shares his experience of using the software in this brief interview. He talks about the reaction he received when sharing the mint report for the first time, how patients benefit from the longitudinal overview of disease, and his plans to use the structured data for AI 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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