6 results on '"Carole Jalaber"'
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2. Chest ultrasound findings in usual interstitial pneumonia patterns: a pilot study
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Laetitia Joërg, Tiffany Trouillon, Carole Jalaber, Isabelle Court Fortune, Antoine Luchez, Claire Boutet, Jean Michel Vergnon, Laurent Bertoletti, and Marios E. Froudarakis
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UIP ,IPF ,ILD ,Chest ultrasound ,Medicine - Abstract
It is unknown what role chest ultrasound plays in distinguishing the various usual interstitial pneumonia (UIP) patterns of high-resolution chest tomography (HRCT). The purpose of this study was to see if there was a link between the results of chest ultrasound (u/s) and HRCT in patients with idiopathic pulmonary fibrosis (IPF). We performed chest u/s in 16 patients with UIP and probable UIP patterns to indeterminate UIP and alternative diagnosis patterns in this single center prospective study to determine any possible relationship with the HRCT findings. A chest radiologist reviewed each HRCT to determine the pattern in accordance with the American Thoracic Society (ATS) / European Respiratory Society (ERS) Guidelines. The local multidisciplinary committee validated the patients' diagnoses before they were included. When compared to the indeterminate for UIP or alternative diagnosis pattern group, there was a trend (p=0.07) toward the presence of more B lines in UIP or probable UIP patterns. There was no statistically significant difference in the presence of small, large, white lung, or pleural line thickening >5mm. Subgroup analysis revealed that patients with honeycombing were more likely to have a fragmented pleural line (p=0.04). To summarize, in our pilot study, chest u/s appears unable to differentiate UIP and probable UIP patterns from indeterminate UIP and alternative diagnosis patterns. However, it appears that this technique can be used to recognize the honeycombing pattern.
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- 2022
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3. Role of upfront CT pulmonary angiography at admission in COVID-19 patients
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Thibaut Lapotre, Guillaume Chassagnon, Mathieu Lederlin, Carole Jalaber, Marie-Pierre Revel, Emma Bajeux, and Pierre Croisille
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medicine.medical_specialty ,Ct pulmonary angiography ,Lung ,medicine.diagnostic_test ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Chest ct ,Hematology ,030204 cardiovascular system & hematology ,Thrombophilia ,medicine.disease ,03 medical and health sciences ,Pneumonia ,0302 clinical medicine ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Angiography ,medicine ,In patient ,Radiology ,business - Abstract
• Current guidelines recommend the use of unenhanced chest CT as first-line imaging in patients suspected of COVID-19 pneumonia. • In unselected COVID-19 patients, the prevalence of PE at baseline is no different from the one in COVID-19 negative patients. • There is no clear benefit to routinely perform CTPA as first-line imaging modality in patients suspected of COVID-19 pneumonia
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- 2020
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4. Study of Thoracic CT in COVID-19: The STOIC Project
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Audrey Milon, Sébastien Molière, Ines Saab, Laure Fournier, Marie-France Bellin, Dominique Mompoint, Thibaut Lapotre, Mostafa El Hajjam, Sébastien Bommart, Valérie Bousson, Carole Jalaber, Mathieu Lederlin, Severine Dangeard, Jules Gregory, Chahinez Hani, Isabelle Petit, Elisabeth Dion, Pascal Rousset, Constance de Margerie-Mellon, Jean-François Deux, Souhail Bennani, Marie-Pierre Debray, Marie-Pierre Revel, Hendy Abdoul, Raphaël Porcher, Antoine Khalil, Mickaël Ohana, Florian Bompard, Laurence Rocher, Pierre-Yves Brillet, Léa Jilet, Guillaume Chassagnon, Dominique Valeyre, Samia Boussouar, Alban Redheuil, Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Hopital Saint-Louis [AP-HP] (AP-HP), Université de Rennes (UR), CHU Pontchaillou [Rennes], Université Paris-Saclay, Hôpital Raymond Poincaré [AP-HP], Sorbonne Université (SU), CHU Tenon [AP-HP], Université de Strasbourg (UNISTRA), Hôpital de Hautepierre [Strasbourg], Université Paris Cité (UPCité), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Nouvel Hôpital Civil de Strasbourg, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Hôpital Arnaud de Villeneuve [CHRU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital Ambroise Paré [AP-HP], Université de Lorraine (UL), Hôpital Brabois, Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Hôpital Avicenne [AP-HP], AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), AP-HP - Hôpital Antoine Béclère [Clamart], Hôpital Lariboisière-Fernand-Widal [APHP], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Hospices Civils de Lyon (HCL), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hôpital Beaujon [AP-HP], Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Hôpital Henri Mondor, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Hypoxie et Poumon : pneumopathologies fibrosantes, modulations ventilatoires et circulatoires (H&P), UFR SMBH-Université Sorbonne Paris Nord, Hôpital Hôtel-Dieu [Paris], Unité de Recherche Clinique de l’Est Parisien [CHU Saint-Antoine] (URC-EST), Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts (CHNO)-CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Direction de la Recherche Clinique et de l'Innovation [AP-HP] (DRCI), MORNET, Dominique, Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière] (CIC Paris-Est), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université de Paris (UP), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Trousseau [APHP]
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Male ,medicine.medical_specialty ,medicine.medical_treatment ,[SDV]Life Sciences [q-bio] ,Logistic regression ,Sensitivity and Specificity ,030218 nuclear medicine & medical imaging ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Interquartile range ,medicine ,Intubation ,Humans ,Radiology, Nuclear Medicine and imaging ,Lung ,ComputingMilieux_MISCELLANEOUS ,Original Research ,Aged ,Retrospective Studies ,business.industry ,SARS-CoV-2 ,COVID-19 ,Reproducibility of Results ,Retrospective cohort study ,Middle Aged ,medicine.disease ,3. Good health ,Coronary Calcium Score ,[SDV] Life Sciences [q-bio] ,Pneumonia ,Editorial ,030220 oncology & carcinogenesis ,Radiological weapon ,Observational study ,Female ,Radiology ,business ,Tomography, X-Ray Computed - Abstract
Background There are conflicting data regarding the diagnostic performance of chest CT for COVID-19 pneumonia. Disease extent at CT has been reported to influence prognosis. Purpose To create a large publicly available data set and assess the diagnostic and prognostic value of CT in COVID-19 pneumonia. Materials and Methods This multicenter, observational, retrospective cohort study involved 20 French university hospitals. Eligible patients presented at the emergency departments of the hospitals involved between March 1 and April 30th, 2020, and underwent both thoracic CT and reverse transcription-polymerase chain reaction (RT-PCR) testing for suspected COVID-19 pneumonia. CT images were read blinded to initial reports, RT-PCR, demographic characteristics, clinical symptoms, and outcome. Readers classified CT scans as either positive or negative for COVID-19 based on criteria published by the French Society of Radiology. Multivariable logistic regression was used to develop a model predicting severe outcome (intubation or death) at 1-month follow-up in patients positive for both RT-PCR and CT, using clinical and radiologic features. Results Among 10 930 patients screened for eligibility, 10 735 (median age, 65 years; interquartile range, 51-77 years; 6147 men) were included and 6448 (60%) had a positive RT-PCR result. With RT-PCR as reference, the sensitivity and specificity of CT were 80.2% (95% CI: 79.3, 81.2) and 79.7% (95% CI: 78.5, 80.9), respectively, with strong agreement between junior and senior radiologists (Gwet AC1 coefficient, 0.79). Of all the variables analyzed, the extent of pneumonia at CT (odds ratio, 3.25; 95% CI: 2.71, 3.89) was the best predictor of severe outcome at 1 month. A score based solely on clinical variables predicted a severe outcome with an area under the curve of 0.64 (95% CI: 0.62, 0.66), improving to 0.69 (95% CI: 0.6, 0.71) when it also included the extent of pneumonia and coronary calcium score at CT. Conclusion Using predefined criteria, CT reading is not influenced by reader's experience and helps predict the outcome at 1 month. ClinicalTrials.gov identifier: NCT04355507 Published under a CC BY 4.0 license.
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- 2021
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5. Imaging of COVID-19 pneumonia
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Carole Jalaber, Thibaud Morcet-Delattre, Steven Voisin, Thibaud Orcel, Marie-Pierre Revel, Thibaut Lapotre, Stéphanie Luzi, Baptiste Lodé, Nikolas Crespin, Félix Billard, Mathieu Lederlin, Pierre-Axel Lentz, CHU Pontchaillou [Rennes], Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Université de Rennes 1 - Faculté de Médecine (UR1 Médecine), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Université de Rennes - Faculté de Médecine (UR Médecine), and Université de Rennes (UR)
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[SDV]Life Sciences [q-bio] ,COVID-19 ,[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract ,Article ,3. Good health ,030218 nuclear medicine & medical imaging ,Imaging ,Tomodensitométrie ,Coronavirus ,03 medical and health sciences ,0302 clinical medicine ,Imagerie ,030220 oncology & carcinogenesis ,SARS-CoV2 ,Computed tomography - Abstract
International audience; The COVID-19 pandemic is an unprecedented global health crisis. Given the long turnaround of RT-PCR, the gold standard diagnostic technique, chest CT plays a pivotal role in the triage of patients presenting at the emergency department, allowing them to be hospitalized in “COVID” or “non-COVID” units. Baseline CT scan must be performed without contrast, but injection is necessary in case of suspected pulmonary embolism, which could be quite frequent in this disease. The typical CT appearance of COVID-19 pneumonia consists of bilateral, peripheral, posterior and basal ground-glass opacities. CT extent of pulmonary lesions correlates with clinical disease severity and should be mentioned in the radiologic report. Given the considerable number of chest CT scans performed during this epidemic, it is important to be aware of the differential diagnosis of acute dyspnea. AI techniques could allow for reliable automated diagnosis and quantification of disease extent.; La pandémie de COVID-19 est une crise sanitaire mondiale sans précédent. Compte tenu des délais d’obtention des résultats de la RT-PCR, technique diagnostique de référence, le scanner thoracique joue un rôle pivot dans le triage des patients arrivant aux urgences, permettant de les hospitaliser en services « COVID » ou « non-COVID ». Le scanner initial doit être réalisé sans injection mais une injection est nécessaire en cas de suspicion d’embolie pulmonaire, dont la prévalence pourrait être assez élevée dans cette maladie. L’atteinte scanographique typique de la pneumonie COVID-19 consiste en des plages de verre dépoli bilatérales, périphériques sous-pleurales, souvent postérieures et basales. L’extension lésionnelle en scanner est corrélée à la sévérité clinique de la maladie et doit être mentionnée dans le compte-rendu d’examen. Au vu du nombre considérable de scanners thoraciques réalisés pendant cette épidémie, il est important de connaître la gamme des diagnostics différentiels devant une dyspnée aiguë. Les techniques d’intelligence artificielle vont permettre de faire des diagnostics automatiques fiables et de quantifier l’étendue lésionnelle.
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- 2020
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6. Chest CT in COVID-19 pneumonia: A review of current knowledge
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Thibaut Lapotre, Mathieu Lederlin, T. Morcet-Delattre, Stéphane Jouneau, F Ribet, Carole Jalaber, CHU Saint-Etienne, CHU Pontchaillou [Rennes], Laboratoire Traitement du Signal et de l'Image (LTSI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), and CCSD, Accord Elsevier
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Male ,Chest ct ,Contrast Media ,Severity of Illness Index ,030218 nuclear medicine & medical imaging ,0302 clinical medicine ,Iodinated contrast ,Pregnancy ,Severe acute respiratory syndrome coronavirus 2 ,Child ,Tomography ,Lung ,COVID-19, coronavirus disease 2019 ,Radiological and Ultrasound Technology ,General Medicine ,Middle Aged ,CT, computed tomography ,3. Good health ,Pulmonary embolism ,Hospitalization ,RT-PCR, reverse Transcriptase polymerase chain reaction ,Radiology Nuclear Medicine and imaging ,030220 oncology & carcinogenesis ,AI, artificial intelligence ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Female ,Radiography, Thoracic ,Radiology ,Coronavirus Infections ,Hospital Units ,Adult ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Pneumonia, Viral ,X-ray computed ,SARS-CoV-2, severe acute respiratory syndrome coronavirus 2 ,Article ,03 medical and health sciences ,Betacoronavirus ,Artificial Intelligence ,Severity of illness ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Pandemics ,ARDS, acute respiratory distress syndrome ,Aged ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,business.industry ,SARS-CoV-2 ,COVID-19 ,medicine.disease ,Triage ,Pneumonia ,business ,Pulmonary Embolism ,Tomography, X-Ray Computed - Abstract
International audience; The current COVID-19 pandemic has highlighted the essential role of chest computed tomography (CT) examination in patient triage in the emergency departments, allowing them to be referred to "COVID" or "non-COVID" wards. Initial chest CT examination must be performed without intravenous administration of iodinated contrast material, but contrast material administration is required when pulmonary embolism is suspected, which seems to be frequent in severe forms of the disease. Typical CT features consist of bilateral ground-glass opacities with peripheral, posterior and basal predominance. Lung disease extent on CT correlates with clinical severity. Artificial intelligence could assist radiologists for diagnosis and prognosis evaluation.
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- 2020
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