Publications by authors named "M Messerli"
Metastatic uveal melanoma (mUM) is associated with poor prognosis. Ipilimumab/nivolumab has shown antitumor efficacy in phase II studies. Tebentafusp resulted in longer overall survival (OS) compared to investigator`s choice in a phase III study.
View Article and Find Full Text PDFPurpose: To assess the trends in administered 2-[F]fluoro-2-deoxy-D-glucose ([F]FDG) doses, computed tomography (CT) radiation doses, and image quality over the last 15 years in children with drug-resistant epilepsy (DRE) undergoing hybrid positron emission tomography (PET) brain scans.
Methods: We retrospectively analyzed data from children with DRE who had [F]FDG-PET/CT or magnetic resonance scans for presurgical evaluation between 2005 and 2021. We evaluated changes in injected [F]FDG doses, administered activity per body weight, CT dose index volume (CTDIvol), and dose length product (DLP).
Article Synopsis
- Hypophysitis, a condition affecting the pituitary gland, occurs in up to 10% of patients receiving immune-checkpoint inhibitors (ICIs) for melanoma, with one-third showing no MRI abnormalities, leading to potentially dangerous delays in diagnosis.
- This study assessed the effectiveness of FDG PET/CT scans in detecting ICI-induced hypophysitis by comparing patients with the condition to an age- and sex-matched control group, utilizing the target-to-background ratio (TBR) of the pituitary gland.
- Results indicated that a TBR of around 2.4 can predict impending hypophysitis in melanoma patients on ICI treatment, with a demonstrated sensitivity of 72.7% and specificity of
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as one of the most robust approaches for atherosclerotic cardiovascular disease risk stratification in primary prevention and a powerful tool to guide therapeutic choices. Groundbreaking advances in computational models and computer power translated into a surge of artificial intelligence (AI)-based approaches directly or indirectly linked to CACS analysis.
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