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.

A diagram and a CT scan visualizing tumor growth rate in patients with refractory or relapsed lymphoma

Study with mint Lesion™ Uncovers the Impact of Tumor Growth Rate in Predicting the Efficacy of CAR-T-cell Therapy in Lymphoma Patients

A recent study conducted by Dr. med. Michael Winkelmann and his colleagues at the LMU Klinikum München explored the association between TGR dynamics from pre-treatment to post-treatment imaging and the patients' outcomes.

The research provides valuable insights into the potential of TGR as a novel prognostic imaging biomarker in the context of CAR-T therapy for patients with relapsed or refractory non-Hodgkin's lymphoma.

Read more about the study here.

Related Resources

Related Resources

Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.

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?

Screenshot of the mint Lesion interface showing RANO 2.0 configuration, tumor burden calculations, and structured neuro-oncology assessment tools.

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…

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.

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,…