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 diffusion-weighted MRIs (DWI) could provide early…
Healthcare on FHIR: Igniting the Potential of Interoperability
Interoperability plays a crucial role in healthcare: it enables seamless communication of patient information across different systems, leads to significant benefits throughout the healthcare system…
Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning
This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve image quality. Glioblastomas are aggressive brain…
University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning
This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most prevalent and most aggressive malignant brain tumors in…
Insights into the BORN Project: Development and Successes with Dr. Maurice Heimer
The BORN-project of the Bavarian Center for Cancer Research (BZKF) is making swift progress in its second funding phase. A key aspect of the project is the development of structured reporting…
A Closer Look at the BZKF BORN-Project: Interview with Dr. Maurice Heimer from the Clinic and Polyclinic for Radiology at the LMU Klinikum
The Bavaria-wide Oncological Radiology Network (BORN) is now in its second funding phase and is making rapid progress. The project was initiated in August 2022 with the goal of improving cancer…
Key Imaging Features for Differentiating Rare Pancreatic Tumors
Solid pseudopapillary neoplasms (SPN), also known as Frantz tumors, are rare tumors of the pancreas. Due to overlapping features of SPN and pancreatic neuroendocrine neoplasms (pNEN), distinguishing…