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.

mint Lesion screenshot with PET evaluation, SUV, customized response criteria

Customizable reading templates for therapy response assessment

mint Lesion offers customizable reading templates for therapy response assessment in clinical care and research. Adapt parameters, define lesion categories, and evaluate responses. Track key measurements like diameter, volume, SUV, and ADC, ensuring compliance with required minimum sizes. Automate sum calculations for response determination and integrate clinical data such as ctDNA or PSA values. Document multiple lesions, compare absolute and relative changes over time, and visualize trends with interactive charts. Generate comprehensive reports with tables and graphs for a clear longitudinal overview.

Key features:

  • Easily customizable parameters
    • Questions for manual response evaluation
    • Lesion categories (e.g., target lesions, non-target lesions)
    • System-derived lesion states (e.g., normalized for lymph nodes)
    • Key measurement values (e.g., longest diameter, short axis, volume, SUV, ADC, etc.), including required minimum size for each lesion category
    • Sum of measurements for response determination (e.g., sum of diameter or sum of volume)
    • Clinical data (e.g., ctDNA or PSA values)
  • Ability to document the count of multiple (non-target and new) lesions
  • Automatic calculations of absolute and relative differences to baseline, previous timepoint and nadir
  • Interactive charts displaying all relevant values over time, including clinical data, with dynamic filtering options
  • Comprehensive reports including tables and graphs for a fast and clear longitudinal overview

Related Resources

Related Resources

Schematic visualization of the federated learning study and its data infrastructure

RACOON: A Guide to Bridging the Gap Between Simulated and Real-World Federated Learning Research

Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…

Several doctors looking at a medical image within mint Lesion

On-Site BZKF BORN Roll-Out Trainings Keep on Going

Our expert Steffen Rupp recently visited the Technical University of Munich to continue the on-site BZKF BORN Roll-Out Trainings. As mentioned…

This image shows a scan of pericardial effusion

Unveiling the Predictive Power of Pericardial Effusion in COVID-19 Outcomes

The COVID-19 pandemic wreaked havoc on healthcare systems worldwide, requiring a comprehensive understanding of disease progression for optimal…