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Rijksuniversiteit Groningenfounded in 1614  -  top 100 university
Over ons Praktische zaken Waar vindt u ons P.H. (Pieter) Nienhuis

Publicaties

A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [18F]FDG-PET Images During Follow-Up

An in-depth comparison of vascular inflammation on ultrasound, FDG-PET/CT and MRI in patients with suspected giant cell arteritis

Improved Diagnostic Accuracy for Polymyalgia Rheumatica using FDG-PET/CT with Clinical Diagnosis or 2012 ACR/EULAR Classification Criteria

Positron Emission Tomography Imaging in Vasculitis

Visualising Vasculitis: Optimising assessment and clinical evaluation of [18F]FDG PET in giant cell arteritis

Advances in PET Imaging of Large Vessel Vasculitis: An Update and Future Trends

Altered plasma levels and tissue expression of fibroblast activation protein alpha in giant cell arteritis

Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT-SEQUOIA

Multimodality imaging to assess diagnosis and evaluate complications of large vessel arteritis

Comparing Diagnostic Performance of Short and Long [18F]FDG-PET Acquisition Times in Giant Cell Arteritis

Pers/media

PET tracer predicts response to immunotherapy