Radboud Imaging Research

Welcome to the research website of the Department of Radiology and Nuclear Medicine at Radboud university medical center, Nijmegen.

Our research has a strong focus on early detection and early treatment of common diseases. It covers fundamental research on a molecular level, development of new medical devices and software tools, and translates these results to clinical applications that can be used in daily routine. Our mission is to bridge the gap between research and practice and to help shape the future of healthcare. We use technology to make healthcare more affordable by increasing automation of diagnostic and therapeutic procedures, thus freeing manpower for those areas in patient care in which the "human touch" is most needed.

The six fundamental science groups cover ultrasound (MUSIC), biomedical MR (BioMR), diagnostic image analysis (DIAG), nuclear medicine (NucMed), advanced x-ray tomographic imaging (AXTI), and Image-guided Interventions (MAGIC). Clinical research is mainly focused on prostate, breast, chest and vascular disease.

With the menu on the right you can learn more about our researchers, view or download publications or navigate to any of the research groups within the department.

Highlight

Prokop et al. have published a paper in Radiology entitled: CO-RADS – A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation

The purpose of this study was to introduce the COVID-19 Reporting and Data System (CO-RADS) for standardized assessment of pulmonary involvement of COVID-19 on non-enhanced chest CT and report its initial interobserver agreement and performance.


The Dutch Radiological Society (NVvR) developed CO-RADS based on other efforts for standardization, such as Lung-RADS or BI-RADS. CO-RADS assesses the suspicion for pulmonary involvement of COVID-19 on a scale from 1 (very low) to 5 (very high). The system is meant to be used in patients presenting with moderate to severe symptoms of COVID-19. The system was evaluated using 105 chest CTs of patients admitted to the hospital with clinical suspicion of COVID-19 in whom RT-PCR was performed (62 +/- 16 years, 61 men, 53 with positive RT-PCR). Eight observers assessed the scans using CO-RADS. Fleiss’ kappa was calculated, and scores of individual observers were compared to the median of the remaining seven observers. The resulting area under the receiver operating characteristics curve (AUC) was compared to results from RT-PCR and clinical diagnosis of COVID-19.


CO-RADS, for COVID-19 Reporting and Data System, is a categorical assessment scheme for chest CT in patients suspected of COVID-19, representing the level of suspicion for pulmonary involvement. The substantial agreement among observers and its discriminatory value make it well-suited for use in clinical practice.


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Key Points: ■ CO-RADS, for COVID-19 Reporting and Data System, provides a standardized assessment scheme that simplifies reporting with a five-point scale of suspicion for pulmonary involvement of COVID-19 on chest CT ■ CO-RADS has a moderate to substantial agreement among observers with an overall Fleiss’ kappa of 0.47 (95% CI 0.45-0.49). ■ The discriminatory power of CO-RADS for diagnosing COVID-19 was high, with a mean area under the ROC curve of 0.91 (95% CI 0.85-0.97) for positive RT-PCR results.


See more in the Highlight Archive.

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