Nicolas De Vos
Ghent University Hospital
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Publication
Featured researches published by Nicolas De Vos.
Acta Chirurgica Belgica | 2014
Nicolas De Vos; Ingeborg Goethals; Wim Ceelen
Abstract Background : Adequate staging is essential in patients with peritoneal carcinomatosis (PC) from colorectal cancer (CRC) who are candidates for cytoreductive surgery (CRS) followed by hyperthermic intraperitoneal chemotherapy (HIPEC). Metabolic imaging using 18F-FDG-PET-CT is commonly used to exclude distant metastasis in these patients. Here, we aimed to assess the performance of 18F-FDG-PET-CT in locoregional staging of the extent of PC. Methods : Patients with PC from CRC underwent staging including 18F-FDG-PET-CT. In the absence of systemic dissemination, CRS and oxaliplatin based HIPEC were performed. The extent of PC was quantified during surgery using the modified 7 region count (7RC). The correlation between imaging based estimation of PC extent and surgical 7RC was analyzed using Pearson correlation using both patient based and region based analyses. Results : Fifty-five patients were included between February 2005 and October 2018. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 57%, 98%, 95%, 78% and 82% respectively for non-mucinous tumors and 32%, 100%, 100%, 55% and 63% respectively. 18F-FDG-PET-CT detected the presence of colorectal PC in 96% of patients suffering from PC with nonmucinous histology and in 60% of patients suffering from PC with mucinous histology. Correlation between imaging 7RC and surgical 7RC was better for PC with nonmucinous histology (r = 0.623) than for PC with mucinous histology (r = -0.180). Conclusions : Despite of underestimating the exact extent of disease involvement, 18F-FDG-PET-CT shows good performance in detecting colorectal PC with nonmucinous histology. For colorectal PC with mucinous histology, 18F-FDG- PET-CT, however, shows poor performance. Since 18F-FDG-PET-CT did not detect the presence of colorectal PC in all patients in whom long-term survival could be achieved, 18F-FDG-PET-CT should be implemented into a broad preoperative assessment strategy.
Journal of the Belgian Society of Radiology | 2016
Filip Vanhoenacker; Nicolas De Vos; Pieter Van Dyck
This pictorial review presents an overview of common interpretation errors and pitfalls in magnetic resonance imaging (MRI) of the knee. Instead of being exhaustive, we will emphasize those pitfalls that are most commonly encountered by young residents or less experienced radiologists.
Archive | 2017
Nicolas De Vos; Filip Vanhoenacker; Koenraad Verstraete; Paul M. Parizel
Nerve sheath tumors are a distinct type of soft tissue tumors. The updated WHO classification of nerve sheath tumors includes several new benign and malignant nerve sheath tumor types. Imaging features suggestive for nerve sheath tumors include location near a nerve, fusiform shape, tail sign, split-fat sign, target sign, fascicular sign, and degenerative muscle changes.
Eurorad | 2017
Magdalena Posadzy; Nicolas De Vos; Filip Vanhoenacker
1. W. Dega Orthopaedic and Rehabilitation University Hospital, Karol Marcinkowski University of Medical Sciences; Poznan, Poland 2. Ghent University Hospital, Department of Radiology; De Pintelaan 185, 9000 Ghent, Belgium 3. AZ Sint-Maarten Duffel-Mechelen, Department of Radiology; Leopoldstraat 2, 2800 Mechelen, Belgium 4: University Hospital Antwerp, Department of Radiology; Wilrijkstraat 10, 2650 Antwerp, Belgium; Email:[email protected] University Hospital Antwerp
ORTHO-RHUMATO | 2017
Nicolas De Vos; Filip Vanhoenacker; Jan Bosmans
ORTHO-RHEUMATO | 2017
Nicolas De Vos; Filip Vanhoenacker; Jan Bosmans
Eurorad : radiological case database | 2017
Nicolas De Vos; David Creytens; Mariette De Cock; Filip Vanhoenacker
Acta Gastro-enterologica Belgica | 2017
Nicolas De Vos; Filip Vanhoenacker
Update in Neuro-Imaging, Abstracts | 2016
Nicolas De Vos; Filip Vanhoenacker; Marc Mespreuve; Jan Van Haesendonck
International Skeletal Society 43rd Annual meeting and Musculoskeletal imaging course: Fundamentals to advanced concepts | 2016
Nicolas De Vos; Filip Vanhoenacker