View clinical trials related to Radiology.
Filter by:This project focuses on researching chronic rhinosinusitis in patients, employing image processing techniques and molecular biology methods to jointly determine the research objectives: 1. Investigating heterogeneity. 2. Developing an intelligent assessment model. 3. Creating a visual tool for diagnosis and prognosis.
Brief Summary A task like breast cancer screening (mammography) can be described as a "hybrid search" task. In basic visual search tasks, observers search for a target among distractors that are not the target. In hybrid search, observers search for two or more target types. In mammography, observers are searching for masses, calcifications ("calcs"), and some other signs of cancer like architectural distortion. In this experiment, the investigators have created a simulated version of mammography where non-expert (non-radiologist) observers can look for simulated masses and calcs. There are two types of stimuli, a 2D version (like an x-ray) and a 3D version (like the output of Digital Breast Tomosynthesis - DBT). The question that is being asked is whether it is better to ask about masses and calcs separately (first one, then the other) or to just let observers look for both at the same time.
To investigate the performance of enhanced computed tomography (CT) or magnetic resonance (MR) imaging by deep learning relative to conventional CT or MR imaging in brain stroke and vascular neurology. We expect that the deep enhanced imaging method can shorten the time stay in the imaging session of stroke patients, optimize the overall imaging quality and improve the patients' care in imaging session.
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the Artificial intelligence community. In this study we provide insights and also raise warnings on what is reasonable to expect by applying deep learning to COVID classification of CXR images. We provide a methodological guide and critical reading of an extensive set of statistical results that can be obtained using currently available datasets. In particular, we take the challenge posed by current small size COVID data and show how significant can be the bias introduced by transfer-learning using larger public non- COVID CXR datasets. We also contribute by providing results on a medium size COVID CXR dataset, just collected by one of the major emergency hospitals in Northern Italy during the peak of the COVID pandemic. These novel data allow us to contribute to validate the generalization capacity of preliminary results circulating in the scientific community. Our conclusions shed some light into the possibility to effectively discriminate COVID using CXR.
This study aims to test the effectiveness of virtual reality (VR) as a non-pharmaceutical intervention to reduce pain and anxiety in children undergoing painful procedures in Phlebotomy, Radiology, Infusion, Orthopedics, Gastroenterology, and Immunology, amongst others, at CHLA, as measured by self- and proxy-report. Examples of the painful procedures include IV sticks, cast removals, allergy testing, and anorectal manometries.
In 2014 radiologic lesions were detected at one or more semicircular canals using CT and MR imaging of temporal bone in subjects carrying the p.P51S mutation in COCH. These lesions are believed to present at more advanced stages of the hearing and vestibular deterioration. Since then, other authors have described similar lesions in advanced non-genetic hearing and vestibular impairment as well. The purpose of this study is therefore to assess the radiologic investigation using CT and MR imaging of temporal bone to all subjects presenting with bilateral vestibulopathy, using the Barany criteria, compared to the p.P51S population.
In 2014 radiological lesions at one or more semicircular canals (SCC) were described using CT & MR imaging in subjects presenting advanced hearing and vestibular deterioration caused by the p.P51S mutation in COCH. Similar lesions were also described in other non-genetic advanced hearing and vestibular deterioration as well. With this prospective observational study it is the purpose to inventory imaging results of candidates for cochlear implantation which are routinely performed during the preoperative work up, since these patient present severe hearing impairment at both ears. A considerable part of them might present vestibular deterioration as well. It is the purpose to detect possible presence of these SCC lesions on CT and MR in this population and the prevalence of these lesions compared to DFNA9 patients.