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.
Study Discovers Overdiagnosis of Progressive Cancer in Routine Clinical Evaluations
Related Resources
Related Resources
UKE Hamburg: Study Shows that Software-Assisted Assessments Enhance iRECIST Evaluation
This research study [1] aimed to compare the feasibility and reliability of manual versus software-assisted assessments of computed tomography (CT)…
Challenges and Opportunities of Setting Up a Comprehensive Oncological Imaging Database
In an exclusive interview with Prof. Dr. Thorsten Persigehl, a leading expert in Oncological Imaging, we delved into the transformative radCIO project…
Interview with Prof. Thorsten Persigehl on the radCIO in Cologne
Structured data in radiology is crucial for accurate diagnoses and treatment planning and serves as the basis for detailed clinical practice and…