jump to content jump to footer

mint Analytics: Real-time data visualization and analysis in clinical trials with imaging endpoints

We talked to PD Dr. Wolfgang G. Kunz, Head of Oncological Imaging and of the Oncological Study Center at the Ludwig Maximilians University Hospital Munich, about his experience with mint Analytics, an extensive add-on of the leading radiological platform mint Lesion™.

Next to the data visualization of multiple trials, PD Dr. Kunz and his team use mint Analytics for quality control of trial site reads and for sharing the current status of trial results with oncological PIs, which provides them with an estimate of what responses can be clinically expected. PD Dr. Kunz also provides an insight into how mint Analytics has the ability to open up new avenues of single and multicentric research projects and how this can benefit other radiologists, oncologists, imaging CROs as well as sponsors.

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…
Read more
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…
Read more
Image of a patient getting an MRI scan, signifying how RACOON projects in Germany show how imaging, structured reporting, and AI jointly advance clinical research.
Overview of major RACOON projects in radiology and clinical research.
RACOON – Imaging, Data & Collaboration for Better Decisions
Modern radiology faces a central question: how can imaging and clinical data be combined in a way that leads to more precise diagnoses,…
Read more
scroll-top