
University Hospital Tübingen: Improving Postoperative Brain Tumor MRI: TGSE-BLADE vs. RESOLVE DWI
Early MRI scans are critical for patients who have just undergone brain tumor resection to evaluate the surgery's success and plan future treatments.…

Early MRI scans are critical for patients who have just undergone brain tumor resection to evaluate the surgery's success and plan future treatments.…

Postoperative MRI after brain tumor surgery is often affected by artifacts caused by intracranial air, limiting reliable image interpretation.
A…

The recent study “Artificial intelligence for TNM staging in NSCLC – a critical appraisal of segmentation utility in [¹⁸F]FDG PET/CT” provides a…

How can complex tumor findings be assessed accurately, reproducibly, and in line with clinical guidelines?

Tumor response assessment in neuro-oncology clinical trials requires careful attention to measurement protocols and confirmation scan requirements. To…

Modern radiology faces a central question: how can imaging and clinical data be combined in a way that leads to more precise diagnoses,…

Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By…

How are structured reporting and artificial intelligence transforming radiology practice?
Prof. Dr. Thorsten Persigehl from University Hospital…

Rare tumors, major challenges: The RACOON-SAGA project explores how imaging and clinical data can improve the pre-therapeutic characterization of soft…