mint Analytics: Real-time data visualization and analysis in clinical trials with imaging endpoints

We talked to PD Dr. Wolfgang G. Kunz, Head of Oncological Imaging and of the Oncological Study Center at the Ludwig Maximilians University Hospital Munich, about his experience with mint Analytics, an extensive add-on of the leading radiological platform mint Lesion™.

Next to the data visualization of multiple trials, PD Dr. Kunz and his team use mint Analytics for quality control of trial site reads and for sharing the current status of trial results with oncological PIs, which provides them with an estimate of what responses can be clinically expected. PD Dr. Kunz also provides an insight into how mint Analytics has the ability to open up new avenues of single and multicentric research projects and how this can benefit other radiologists, oncologists, imaging CROs as well as sponsors.

Click here or on the image above to watch the full video on YouTube.

Related Resources

Related Resources

Several juxtaposed images of different patients with different responses to the cancer treatment

Study with mint Lesion™ compares the Efficacy of SIRT and CS-PHP in Uveal Melanoma with Hepatic Metastasis

A study conducted by researchers at University Hospital Tuebingen retrospectively compared two liver-targeted therapies for uveal melanoma patients…

RECIST measurements of a patient with uveal melanoma and hepatic metastases

University Hospital Tuebingen: Study compares the Efficacy of SIRT and CS-PHP in Uveal Melanoma with Hepatic Metastasis

A study[1] conducted by researchers at University Hospital Tuebingen retrospectively compared the efficacy of two liver-targeted therapies,…

Study Analyzing the Tumor Growth Rate as a Prognostic Biomarker in Lymphoma Patients Under CAR T-Cell Therapy

University Hospital Munich (LMU): Study Analyzing the Tumor Growth Rate as a Prognostic Biomarker in Lymphoma Patients Under CAR T-Cell Therapy

A recent study[1] conducted by researchers at the University Hospital Munich (LMU) investigated the role of tumor growth rate (TGR) in predicting the…