Publications by authors named "Marieke Vermaat"
Article Synopsis
- * The study analyzed 1,070 patients with respiratory symptoms at six medical centers, comparing chest CT results to RT-PCR tests and a clinical reference standard established by a group of medical professionals.
- * Chest CT demonstrated strong diagnostic performance, with an area under the curve (AUC) of 0.87 for both RT-PCR and clinical reference standards, indicating that higher CO-RADS scores significantly correlated with the likelihood of a COVID-19 diagnosis.
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest infections suspected to be caused by COVID-19 using chest CT may be of assistance when results from definitive viral testing are delayed. Purpose To develop and validate an artificial intelligence (AI) system to score the likelihood and extent of pulmonary COVID-19 on chest CT scans using the COVID-19 Reporting and Data System (CO-RADS) and CT severity scoring systems.
View Article and Find Full Text PDFPurpose: To identify radiological features of malignant vascular tumors of bone, which can be used to avoid erroneously diagnosing metastases based on radiological multifocality, and histological epitheloid phenotype.
Materials And Methods: From the databases of the Bologna & Netherlands Committee on Bone Tumors, 63 patients with a histological diagnosis of malignant vascular tumor of bone were retrieved. Epidemiological and imaging characteristics were recorded on a case record form.