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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.

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Advancing Real-World Federated Learning in Radiology

Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…

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…

Alt text (EN) This picture shows several doctors looking at a medical image within the program 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…