The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research

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Customized templates in mint Lesion 3.3

mint Lesion™ 3.3 features a novel data and knowledge modelling core that enables you to customize read procedures and reporting templates – or design them easily yourself.

Among the new oncologic screening and staging guidelines, we introduce comprehensive support for ACR BI-RADS®, a refined PI-RADSv2 template, lymphoma staging following the Ann Arbor schema, PCI (Peritoneal Cancer Index) scoring, as well as TACE / HCC templates and transplantation eligibility assessment and documentation.

We have extended the interactive anatomic location maps and provide support for a more detailed classification of anatomic sites supporting standards like the RadLex® classification.

Structured Reporting Standardized Reading Procedures Data Collection Data Analysis RADS HCC

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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.

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

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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.

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,…