Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

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.

Related Resources

Related Resources

Puzzle pieces connecting to an interoperable system

Healthcare on FHIR: Igniting the Potential of Interoperability

Interoperability plays a crucial role in healthcare: it enables seamless communication of patient information across different systems, leads to…

Doctors looking at MRI scans to evaluate a glioblastoma.

Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning

This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…

Three important sequences (FLAIR, T2, T1 with contrast agent) in the assessment of glioblastoma

University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning

This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…