A5056529543- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Radiation Dose and Imaging
- Advanced X-ray and CT Imaging
- Restraint-Related Deaths
- Autopsy Techniques and Outcomes
- Endometriosis Research and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Congenital Diaphragmatic Hernia Studies
- Pregnancy-related medical research
- Gynecological conditions and treatments
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Forensic Anthropology and Bioarchaeology Studies
- Radiology practices and education
- Forensic Entomology and Diptera Studies
- Medical Imaging and Pathology Studies
- Pneumothorax, Barotrauma, Emphysema
- Sarcoma Diagnosis and Treatment
- Lung Cancer Research Studies
- Tracheal and airway disorders
- Neonatal Respiratory Health Research
- Soft tissue tumors and treatment
- Ultrasound in Clinical Applications
- Neuroendocrine Tumor Research Advances
- Mobile Health and mHealth Applications
Antwerp University Hospital
2017-2024
Joint Research Center
2023-2024
University of Antwerp
2018-2021
This study's aim was to assess whether deep learning image reconstruction (DLIR) techniques are non-inferior ASIR-V for the clinical task of pulmonary nodule detection in chest computed tomography. Up 6 (range 3-6, mean 4.2) artificial lung nodules (diameter: 3, 5, 8 mm; density: -800, -630, +100 HU) were inserted at different locations Kyoto Kagaku Lungman phantom. In total, 16 configurations (10 abnormal, normal) scanned 7.6, 1.6 and 0.38 mGy CTDIvol (respectively 0, 60, 80 95% dose...
The correlation of diffusion-weighted MRI and tumor aggressiveness has been established for different types, which leads to the question if it could also apply neuroendocrine tumors (NET).To investigate possible between apparent diffusion coefficient (ADC) value on magnetic resonance imaging (MRI) histopathologic WHO-grades NET.Electronic patient records from patients presented at multidisciplinary neuro-endocrine board November 2017 April 2019 were retrospectively reviewed. Patients with...
This study systematically compares the impact of innovative deep learning image reconstruction (DLIR, TrueFidelity) to conventionally used iterative (IR) on nodule volumetry and subjective quality (IQ) at highly reduced radiation doses. is essential in context low-dose CT lung cancer screening where accurate characterization pulmonary nodules repeated scanning are indispensable. A standardized dataset was established using an anthropomorphic chest phantom (Lungman, Kyoto Kaguku Inc., Kyoto,...
A newly developed image processing technique fuses conventional windows into a single 'All-In-One' (AIO) window. This study aims to evaluate variability of CT measurement lesions in thoracic oncology patients on this novel AIO-window.Six radiologists with different levels expertise measured 368 various size, origin and sharpness. All were twice the AIO-window window settings. Intraclass correlation coefficients Bland-Altman plots used assess intra- interobserver variability.Overall...
Endometriosis and pain: an overview with arguments for individual multidisciplinary approach This article provides a narrative of endometriosis-related pain. Pain due to endometriosis affects quality life impact on professional, social, family sexual functioning. Both neuropathic inflammatory mechanisms are at the root pain, which is further modulated via central sensitization in brain. Chronic pain associated morphological changes pain-processing areas nervous system. These data reinforce...
Endometriosis is a common cause of chronic pelvic pain, dysmenorrhea and infertility. Although 6–10% women child bearing age are affected by the disease, even more in group patients with fertility problems, diagnosis often delayed treatment can be challenging. Depending on complaints, extent disease goals (fertility treatment, pain reduction, …), both medical surgical options available for management this pathology multidisciplinary approach will necessary. diagnostic laparoscopy histologic...
The Sri Lanka Journal of Forensic Medicine, Science & Law (SLJFMSL) is a peer-reviewed, open-access journal published biannually in May and December each year by the Department Faculty University Peradeniya, Lanka.The mission SLJFMSL to stimulate, encourage empower researchers publish high quality research order promote evidence based practice provide platform for share experiences knowledge fields forensic medicine, sciences, medical ethics relevant law. This publishes original papers,...