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.

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 with liver metastases. The results showed that Chemosaturation-Percutaneous Hepatic Perfusion (CS-PHP) had significantly longer overall survival (516 days) compared to Transarterial Radioembolization (SIRT) (300.5 days).

mint Lesion™ was used to assess the treatment efficacy in line with the Response Evaluation Criteria in Solid Tumors (RECIST 1.1). The study observed that the disease control rate, which includes Complete Response (CR), Partial Response (PR), and Stable Disease (SD), was 18% for SIRT and 30% for CS-PHP.

These findings highlight the need for further research and prospective randomized trials to optimize liver-targeted treatment strategies and address the challenges faced by patients with this condition. Learn more.

Related Resources

Related Resources

Interdisciplinarity in healthcare

Insights into the BZKF BORN-Project – Interview with Dr. Mandy Wahlbuhl-Becker

The Bavarian Oncological Radiology Network (BORN) is enhancing cancer diagnostics in Bavaria through standardized imaging and structured reporting.  …

Dr. Mandy Wahlbuhl-Becker

The Bavarian Oncological Radiology Network – Standardized Imaging for Improved Cancer Care: Interview with Dr. Mandy Wahlbuhl-Becker

The Bavarian Oncological Radiology Network (BORN) aims to support patients and medical professionals across Bavaria by standardizing imaging…

University Hospital Tübingen: Neuro-Oncological Imaging with Deep Learning Reconstruction (DLR)

A recent study conducted by the University Hospital of Tübingen investigated the potential of deep learning reconstruction (DLR) in magnetic resonance…