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.

A person looking at MRI and CT scans on a  computer

Study Discovers Overdiagnosis of Progressive Cancer in Routine Clinical Evaluations

A recent retrospective study led by Dr. Marilyn J. Siegel and her team at the Washington University School of Medicine in St. Louis has shed light on a critical issue in cancer care: routine clinical reads are more prone to overdiagnosing progressive disease when compared to RECIST 1.1 interpretations. This discrepancy holds significant implications, potentially leading to the premature discontinuation of effective treatments for cancer clinical trial participants and patients under standard care.

In this study, mint Lesion software was utilized for the criteria-based reads, determining overall response assessments according to RECIST 1.1 criteria, and generating structured reports for the clinical trial's principal investigator.

To learn more about the study's insights into the discrepant assessments and the suggested steps for mitigating this issue, click here

Related Resources

Related Resources

Screenshot of the mint Lesion interface showing RANO 2.0 configuration, tumor burden calculations, and structured neuro-oncology assessment tools.

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…

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.

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,…

Interview with Prof. Timm Denecke about the RACOON-MARDER project and AI-powered early detection of liver cancer using MRI

Rethinking Early Detection: How RACOON-MARDER Aims to Spot Liver Cancer Sooner

Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By…