1. Speckle tracking quantification of lung sliding for the diagnosis of pneumothorax: a multicentric observational study
- Author
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Gary Duclos, Camille Cheyssac, Laurent Muller, Sarah Castillon, Thibaut Markarian, Alain Boussuges, Giovanni Volpicelli, Marc Leone, Noémie Resseguier, Xavier Bobbia, Laurent Zieleskiewicz, Hôpital Nord [CHU - APHM], Service Anesthésie et Réanimation [Hôpital Nord - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital Nord [CHU - APHM], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Hôpital de la Timone [CHU - APHM] (TIMONE), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Service des explorations fonctionnelles respiratoires [Hôpital Nord - APHM], Hôpital Nord [CHU - APHM]-Assistance Publique - Hôpitaux de Marseille (APHM), San Luigi Hospital [Turin, Italy], Microbes évolution phylogénie et infections (MEPHI), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), COMBE, Isabelle, and Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital Nord [CHU - APHM]
- Subjects
Diagnostic Imaging ,Point-of-Care Systems ,Critical Care and Intensive Care Medicine ,Tracking (particle physics) ,03 medical and health sciences ,Speckle pattern ,0302 clinical medicine ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,medicine ,Humans ,[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology ,Lung ,Speckle tracking ,Retrospective Studies ,Ultrasonography ,[SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,[SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases ,[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases ,Receiver operating characteristic ,business.industry ,Ultrasound ,point-of-care lung ultrasound ,Pneumothorax ,030208 emergency & critical care medicine ,respiratory system ,medicine.disease ,[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology ,Lung ultrasound ,[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,respiratory tract diseases ,medicine.anatomical_structure ,030228 respiratory system ,ROC Curve ,[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Lung sliding ,France ,[SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology ,business ,Nuclear medicine ,[SDV.MP.PAR] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology ,Time to diagnosis - Abstract
International audience; Purpose Lung ultrasound is used for the diagnosis of pneumothorax, based on lung sliding abolition which is a qualitative and operator-dependent assessment. Speckle tracking allows the quantification of structure deformation over time by analysing acoustic markers. We aimed to test the ability of speckle tracking technology to quantify lung sliding in a selected cohort of patients and to observe how the technology may help the process of pneumothorax diagnosis. Methods We performed retrospectively a pleural speckle tracking analysis on ultrasound loops from patients with pneumothorax. We compared the values measured by two observers from pneumothorax side with contralateral normal lung side. The receiver operating characteristic (ROC) curve was constructed to evaluate the performance of maximal pleural strain to detect the lung sliding abolition. Diagnosis performance and time to diagnosis between B-Mode and speckle tracking technology were compared from a third blinded observer. Results We analysed 104 ultrasound loops from 52 patients. The area under the ROC curve of the maximal pleural strain value to identify lung sliding abolition was 1.00 [95%CI 1.00; 1.00]. Specificity was 100% [95%CI 93%; 100%] and sensitivity was 100% [95%CI 93%; 100%] with the best cut-off of 4%. Over 104 ultrasound loops, the blinded observer made two errors with B-Mode and none with speckle tracking. The median diagnosis time was 3 [2–5] seconds for B-Mode versus 2 [1–2] seconds for speckle tracking (p = 0.001). Conclusion Speckle tracking technology allows lung sliding quantification and detection of lung sliding abolition in case of pneumothorax on selected ultrasound loops.
- Published
- 2019
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