Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

Doctor looking at a CT scan in mint Lesion™

Software-Assisted CT Assessment Outperforms Manual Methods in Oncology Study

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.

Read more about the study here.

Immunotherapy Structured Reporting Clinical Trials Clinical Routine Clinical Research Standardized Reading Procedures Therapy Response Assessment iRECIST

Related Resources

Related Resources

Medical personnel looking at a technical device to discuss diagnostic guidelines

2,237 Patients, 11 Hospitals, four HCC Criteria: A Comparison Study

A recent study, conducted across 11 South Korean hospitals, compared the diagnostic performance of four hepatocellular carcinoma (HCC) diagnostic…

mint Lesion screenshot with HCC diagnosis according to APASL, AASLD, LI-RADS, KLCA-NCC, and EASL guidelines

Comparison of Diagnostic Guidelines for Hepatocellular Carcinoma

Recent advancements in MRI techniques and tumor biology have led to updated hepatocellular carcinoma (HCC) diagnostic guidelines from various liver…

Radiologist using for medical image analysis

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…