The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research
Access breakthrough research, innovative case studies and collaborative projects advancing radiology worldwide. Dive into our activities and product updates, and learn who we are as a company and as a team.
From Theory to Practice: Evaluating g-values within mint Lesion
Following the FDA’s recent analysis of the growth rate constant (g) as a prognostic marker1, the challenge for many research organizations is…
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…
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?
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…
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,…
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…
mint Lesion Research Suite: The Flexible Imaging Research Platform Built for Scalable, Single- and Multi-Center Studies
mint Lesion's Research Suite is an advanced imaging research platform designed to support academic teams in streamlining and scaling their imaging…
Structured Reporting and AI in Radiology: Efficiency and Quality in Prostate Diagnostics
How are structured reporting and artificial intelligence transforming radiology practice?
Prof. Dr. Thorsten Persigehl from University Hospital…
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