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.

Hands holding a glass lung to evoke image of lung cancer

Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer

In a retrospective study conducted at the University Hospital Cologne, the radiological criteria iRECIST and RECIST 1.1 were compared for assessing treatment response in melanoma and NSCLC patients receiving immune checkpoint inhibitors.

The results indicate that iRECIST is better suited for capturing atypical treatment responses to immunotherapies, especially in patients experiencing pseudoprogression. iRECIST could thus contribute to a more accurate evaluation of treatment response and improved immunotherapy outcomes.

Read more about the study here.

Clinical Research Standardized Reading Procedures iRECIST RECIST Research with mint mintLesion

Related Resources

Related Resources

Image of doctor looking at a prostate in mint Lesion.

Structured Reporting and AI in Radiology: Efficiency and Quality in Prostate Diagnostics

How are structured reporting and artificial intelligence transforming radiology practice? Prof. Dr. Thorsten Persigehl from University Hospital…

Dr. Madelaine Hettler from University Medical Center Mannheim discusses the RACOON-SAGA project and how it improves sarcoma diagnostics.

Rare Tumors, Big Goals: How RACOON-SAGA Aims to Improve Therapy Decisions

Rare tumors, major challenges: The RACOON-SAGA project explores how imaging and clinical data can improve the pre-therapeutic characterization of soft…

Portrait of Univ.-Prof. Dr. Thorsten Persigehl, expert in oncologic imaging at University Hospital Cologne

Structured Reporting and Artificial Intelligence in Prostate Diagnostics: An Interview with Prof. Dr. Thorsten Persigehl

What does radiology look like when structured reporting meets artificial intelligence? A look into the daily practice of Prof. Dr. Thorsten Persigehl…