Julien Guiot
University of Liège
Internal medicinePathologyCardiologyRetrospective cohort studyImmunologySputumARDSCOPDInterstitial lung diseaseLungIdiopathic pulmonary fibrosisRadiomicsDiseasePirfenidoneFibrosisPulmonary hypertensionPulmonary fibrosisCoronavirus disease 2019 (COVID-19)In patientMedicineCohortBiomarker (medicine)Gastroenterology
Publications 119
#1Agnieszka Smolinska (UM: Maastricht University)H-Index: 24
#2D. S. JessopH-Index: 12
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Face masks and personal respirators are used to curb the transmission of SARS-CoV-2 in respiratory droplets; filters embedded in some personal protective equipment could be used as a non-invasive sample source for applications, including at-home testing, but information is needed about whether filters are suited to capture viral particles for SARS-CoV-2 detection. In this study, we generated inactivated virus-laden aerosols of 0.3-2 microns in diameter (0.9 µm mean diameter by mass) and disperse...
#1Julien GuiotH-Index: 16
#2Akshayaa Vaidyanathan (UM: Maastricht University)H-Index: 3
Last. Benjamin MiraglioH-Index: 3
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Radiomics is the quantitative analysis of standard-of-care medical imaging; the information obtained can be applied within clinical decision support systems to create diagnostic, prognostic, and/or predictive models. Radiomics analysis can be performed by extracting hand-crafted radiomics features or via deep learning algorithms. Radiomics has evolved tremendously in the last decade, becoming a bridge between imaging and precision medicine. Radiomics exploits sophisticated image analysis tools c...
#1Gilles ParzibutH-Index: 2
#2Monique Henket (University of Liège)H-Index: 23
Last. Julien Guiot (University of Liège)H-Index: 16
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Acute respiratory distress syndrome (ARDS) is a diffuse, acute, inflammatory lung disease characterized by a severe respiratory failure. Recognizing and promptly treating ARDS is critical to combat the high mortality associated with the disease. Despite a significant progress in the treatment of ARDS, our ability to identify early patients and predict outcomes remains limited. The development of novel biomarkers is crucial. In this study, we profiled microRNA (miRNA) expression of plasma-derived...
#1Gilles DarcisH-Index: 13
#2Antoine Bouquegneau (University of Liège)H-Index: 7
Last. Doriane CalmesH-Index: 1
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Abstract null null Objectives null Various symptoms and considerable organ dysfunction persist following SARS-CoV-2 infection. Uncertainty remains about the potential mid- and long-term health sequelae. We prospectively studied patients hospitalized for COVID-19 in Liege University Hospital, Belgium, to determine the persistent consequences of Coronavirus disease 2019 (COVID-19). null null null Methods null We prospectively recruited patients admitted at the University hospital of Liege for mode...
#2Pauline Minguet (University of Liège)
Last. Anne-Françoise Rousseau (University of Liège)H-Index: 10
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To investigate exercise capacity at 3 and 6 months after a prolonged ICU stay. Design null Observational monocentric study. null Setting null A post-ICU follow-up clinic in a tertiary university hospital in Liege, Belgium. null Patients null Patients surviving an ICU stay greater than or equal to 7 days for a severe coronavirus disease 2019 pneumonia and attending our post-ICU follow-up clinic. null Measurements and main results null Cardiopulmonary and metabolic variables provided by a cardiopu...
Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50 years. As modern medicine is evolving towards precision medicine, offering personalized patient care and treatment, the requirement for robust imaging biomarkers has gradually increased. Radiomics, a specific method generating high-throughput extraction of a tremendous amount of quantitative imaging data using data-characterization algorithms, has shown great potential in individuating imaging biom...
1 CitationsSource
#1Julien Guiot (University of Liège)H-Index: 16
#2Makon-Sébastien Njock (University of Liège)H-Index: 9
Last. Renaud Louis (University of Liège)H-Index: 58
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Systemic sclerosis (SSc) is a rare connective tissue disease associated with rapid evolving interstitial lung disease (ILD), driving its mortality. Specific biomarkers associated with the progression of this lung disease are highly needed. We aimed to identify specific biomarkers of SSc-ILD to predict the evolution of the disease. For this, we compared prospectively serum levels of several biomarkers associated with lung fibrosis in SSc patients (n = 102), among which SSc-no ILD (n = 63) and SSc...
#1Pierre JacquerieH-Index: 1
#2Monique HenketH-Index: 23
Last. Julien GuiotH-Index: 16
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Systemic sclerosis (SSc) is a potentially serious and disabling connective tissue disease specially in case of interstitial lung disease (SSc-ILD). The aim of our study was to evaluate the potential utility of dosing in the induced sputum (IS) and to compare their levels in SSc-ILD and SSc-nonILD patients, as well as in healthy volunteers (HV). IS and sera values were also compared. In a prospective cross-sectional analysis, we studied the IS and serum provided from 25 SSc patients, 15 SSc-nonIL...
1 CitationsSource
#1Delphine Zanella (University of Liège)H-Index: 6
#2Julien GuiotH-Index: 16
Last. Jean-François Focant (University of Liège)H-Index: 42
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Systemic sclerosis is a rare autoimmune disease associated with rapidly evolving interstitial lung disease, responsible for the disease severity and mortality. Specific biomarkers enabling the early diagnosis and prognosis associated with the disease progression are highly needed. Volatile organic compounds in exhaled breath are widely available and non-invasive and have the potential to reflect metabolic processes occurring within the body. Comprehensive two-dimensional gas chromatography coupl...