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…
RACOON: A Guide to Bridging the Gap Between Simulated and Real-World Federated Learning Research
Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…
RACOON: Study emphasizes the clinical relevance of pericardial effusion as an imaging biomarker in COVID-19 patients
A multicenter study [1] based on the German research infrastructure project RACOON (Radiological Cooperative Network of the COVID-19 pandemic; a Netzw…
UKE Hamburg: Study Shows that Software-Assisted Assessments Enhance iRECIST Evaluation
This research study [1] aimed to compare the feasibility and reliability of manual versus software-assisted assessments of computed tomography (CT)…
University Hospital Ulm: CT Radiomics and Machine Learning in Sarcopenia Evaluation for Esophageal and Gastric Cancer Patients
A recent study [1] conducted by researchers at University Hospital Ulm explored the role of sarcopenia in patients with esophageal or gastric cancer.…
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…
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 with mint Lesion™ Uncovers the Impact of Tumor Growth Rate in Predicting the Efficacy of CAR-T-cell Therapy in Lymphoma Patients
A recent study conducted by Dr. med. Michael Winkelmann and his colleagues at the LMU Klinikum München explored the association between TGR dynamics…
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…
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