A5011352135- Cerebrovascular and Carotid Artery Diseases
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Cardiac Imaging and Diagnostics
- Multiple Sclerosis Research Studies
- Acute Ischemic Stroke Management
- Advanced Neuroimaging Techniques and Applications
- Bone and Joint Diseases
- Lipoproteins and Cardiovascular Health
- Advanced MRI Techniques and Applications
- Mycobacterium research and diagnosis
- Coronary Interventions and Diagnostics
- Medical Imaging and Analysis
- Criminal Justice and Corrections Analysis
- Cancer, Lipids, and Metabolism
- Cardiovascular Disease and Adiposity
- MRI in cancer diagnosis
- Health and Lifestyle Studies
- Multimodal Machine Learning Applications
- Legal Rights and Human Rights
- Photoacoustic and Ultrasonic Imaging
- Optical Coherence Tomography Applications
- RNA regulation and disease
- Health Promotion and Cardiovascular Prevention
- Digital Imaging for Blood Diseases
Institut de Recherche en Informatique et Systèmes Aléatoires
2019-2024
University of L'Aquila
2023-2024
Inria Rennes - Bretagne Atlantique Research Centre
2024
Inserm
2018-2023
Centre National de la Recherche Scientifique
2018-2023
Université de Rennes
2018-2023
University of Oxford
2016-2019
Institut national de recherche en informatique et en automatique
2018-2019
Département de la Santé et de l'Action Sociale
2018
Imperial College London
2014
The aim of this study was to: 1) provide tissue validation quantitative T2 mapping to measure plaque lipid content; and 2) investigate whether technique could discern differences in characteristics between symptom-related non–symptom-related carotid plaques. Noninvasive quantification is appealing both for stratification treatment selection as a possible predictor future rupture. However, current cardiovascular magnetic resonance (CMR) methods are insensitive, require coalesced mass core,...
Automatic segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) images is essential for clinical assessment and treatment planning MS. Recent years have seen an increasing use Convolutional Neural Networks (CNNs) this task. Although these methods provide accurate segmentation, their applicability in settings remains limited due to a reproducibility issue across different image domains. MS can highly variable characteristics patients, MRI scanners imaging...
Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that location corticospinal tracts plays a key role explaining motor impairment. In this study, we describe distribution of lesions along from cortex cervical spinal cord various disease phenotypes status. We also assess link within tracts, at baseline 2-year follow-up. retrospectively included...
Objective Assessment of coronary stenosis severity is crucial in clinical practice. This study proposes a novel method to generate 3D models stenotic arteries, directly from 2D images, and suitable for immediate assessment the severity. Methods From multiple X-ray arteriogram projections, vessels were extracted. A centreline was reconstructed as intersection surfaces corresponding branches. Next, luminal contours generated two-step process: first, Non-Uniform Rational B-Spline (NURBS)...
Background & aimsA recently-validated, highly-sensitive T2 mapping magnetic resonance (MRI) technique accurately quantifies carotid plaque lipid. The aims of this study were to determine: (i) the extent lipid in patients with acute coronary syndromes (ACS); (ii) effects initiation high-intensity statin on content and (iii) whether is related standard or 'functional' blood measurements.MethodsStatin naïve subjects presenting ACS underwent artery MRI at 3 T scanner quantify Patients...
Background and purpose Techniques to stratify subgroups of patients with asymptomatic carotid artery disease are urgently needed guide decisions on optimal treatment. Reliance estimates % luminal stenosis has not been effective, perhaps because that approach entirely disregards potentially important information the pathological process in wall artery. Methods Since plaque lipid is a key determinant behaviour we used newly validated, high-sensitivity T2-mapping MR technique for systematic...
X-ray angiography is the most commonly used imaging modality for detection of coronary stenoses due to its high spatial and temporal resolution lumen contour utility guide interventions in real time. However, inter- intra-observer variability interpreting geometry 3D vascular structure based on multiple 2D image projections a limitation accurate determination lesion severity. This could be addressed by reconstruction arterial (CA) tree. The automated CA tree from challenging existence...
A new method for 3D localization of N fiducial markers from 1D projections is presented and analysed. It applies to semi-active active using a single receiver channel. The novel algorithm computes candidate points peaks in three optimally selected removes fictitious by verifying detected additional projections. Computational complexity was significantly reduced avoiding cluster analysis, while higher accuracy achieved optimal applying Gaussian interpolation peak detection. time, robustness...
Over the last 10 years, number of approved disease modifying drugs acting on focal inflammatory process in Multiple Sclerosis (MS) has increased from 3 to 10. This wide choice offers opportunity a personalized medicine with objective no clinical and radiological activity for each patient. new paradigm requires optimization detection FLAIR lesions longitudinal MRI. In this paper, we describe complete workflow-that developed, implemented, deployed, evaluated-to facilitate monitoring MRI MS...
The presence of multiple chronic diseases is associated with an increase in mortality when related to COVID-19 infection.(i) evaluate the association between severity disease, defined as symptomatic hospitalized prison or out prison, and one more comorbidities two prisons central Italy: L'Aquila Sulmona; (ii) describe profiles inmates using correspondence analysis (MCA).A database was created including age, gender clinical variables. containing anonymized data password-protected....
Multiple sclerosis (MS) patients often present with lesions in spinal cord magnetic resonance (MR) volumes. However, accurately detecting these is challenging and prone to inter-and intra-rater variability. Deep learning-based methods have the potential aid clinicians segmenting MS lesions, but can also be affected by rater This study assesses variability manual segmentation of evaluates raters a state-of-the-art nnU-Net model against ground truth (GT) senior expert. Four experts segmented...
Multiple sclerosis (MS) patients often present hyper-intense T2-w lesions in the spinal cord. The severe imbalance between background and lesion classes poses a major challenge to Deep Learning segmentation approaches, requiring for ad hoc strategies. Careful selection of loss function adjustment conventional 0.5-thresholding may help mitigating this issue. Our results show performance advantages functions based on Tversky Index benefits threshold tuning over more standard settings...
Background: The objective was to analyze the budgets invested in prisons by member states of Council Europe (CoE) and relationships between global cost, cost incurred per single inmate, number inmates 100,000 inhabitants (PPR), gross domestic product (GDP) capita GDP. Methods: data relating variables considered for year 2020 were obtained from SPACE-I 2021 CoE, World Bank/OECD, Eurostat. Regression models used evaluate PPR GDP, daily prisoner A multiple correspondence analysis performed...
By the mid-20th century, cardiovascular disease (CVD) had become an important cause of mortality and morbidity in developed countries. The aim was to set up a pilot study screen citizens aged 45-59 order identify modifiable risk factors (RFs).Our conducted from February 2019 2020 on population central Italy, 45-59, contacted by letter. variables evaluated were lipid profile, glycemia, anthropometric parameters, lifestyle utility screening.It is underline that comparison with Italian national...
Introduction: Non-invasive plaque lipid quantification is appealing both for treatment selection and as predictor of future events. However, current MRI methods are insensitive, require a coalesced mass rely on multicontrast acquisition. We sought to: (1) provide tissue validation quantitative T2 maps to measure lipid; (2) investigate whether this technique could discern differences in characteristics between symptomatic asymptomatic plaques. also hypothesised that content correlates with...
Population Medicine considers the following types of articles:• Research Papers -reports data from original research or secondary dataset analyses.• Review -comprehensive, authoritative, reviews within journal's scope.These include both systematic and narrative reviews.• Short Reports -brief reports research.• Policy Case Studies articles on policy development at a regional national level.• Study Protocols -articles describing protocol study.• Methodology -papers that present different...