A recent study conducted at UKE Hamburg compared manual and software-assisted assessments of computed tomography (CT) scans according to iRECIST (immune Response Evaluation Criteria in Solid Tumors) in oncological patients undergoing immune-based treatment. Utilizing mint Lesion™ for software-assisted assessment, the study found that software-assisted assessments resulted in shorter reading times, lower error rates, and higher inter-reader agreement compared to manual assessments. The researchers thus concluded that software-assisted iRECIST assessments are preferable over manual approaches for optimal oncological response evaluation.
Software-Assisted CT Assessment Outperforms Manual Methods in Oncology Study
Related Resources
Related Resources
RACOON FADEN: Pioneering Early Detection of Adenomyosis – Insights from Prof. Mechsner (Charité Berlin) and Prof. May (University Hospital Erlangen)
Adenomyosis is a gynecological condition of the uterus and a form of endometriosis. Approximately 10 percent of women of reproductive age are affected…
Early Detection of Treatment Response in Lung Cancer Using Delta-Radiomics Features
The study conducted by Heidelberg University Hospital investigates the use of diffusion-weighted MRI (DWI) to predict early treatment outcomes in…
Heidelberg University Hospital: Delta-Radiomics Features from ADC Maps as Early Predictors of Treatment Success in Lung Cancer Therapy
In this prospective study conducted by Heidelberg University Hospital, researchers investigated whether changes in radiomic features from…