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Developing Standardized Reporting Templates for Sarcomas: Insights from Prof. Dr. Wolfgang Kunz

Sarcomas are a rare and heterogeneous group of malignant tumors that pose significant challenges in both diagnosis and treatment. Within the framework of the Bavarian Oncological Radiology Network (BORN), efforts are underway to develop standardized reporting templates for sarcomas.

In an interview, Prof. Dr. Wolfgang Kunz from LMU Munich discusses the complexity of creating such templates due to the variety of sarcoma subtypes and anatomical differences. He highlights the need for tailored templates and emphasizes the importance of standardized data collection and reporting

Read the full interview here.

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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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,…

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