jump to content jump to footer

Enhancing flexibility and communication while saving costs and time in clinical trials

Emily Ferris and Alex Arbuckle describe how using mint Lesion™ has enhanced their clinical trial operations, enabling “a more cooperative approach between [their] radiologists and oncologists” while simultaneously saving time and reducing costs.
 
Faced with a multitude of clinical trial site reads each day, Ms. Ferris and Mr. Arbuckle explain how they benefit from a more efficient workflow by using a dedicated software platform which provides a comprehensive and compliant response assessment and supports them in maintaining oversight of clinical trial imaging analysis design.
 
Ms. Ferris is a Lead Image Analyst and Mr. Arbuckle is a Clinical Research Imaging Core Manager at the University of Wisconsin Carbone Cancer Center.

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?
Read more
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…
Read more
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,…
Read more
scroll-top