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Imaging Technique for Ventilatory Management of ARDS Patients: Novel Monitoring Tool—Electrical Impedance Tomography

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Acute Respiratory Distress Syndrome

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Abstract

Because of the large heterogeneity in lung mechanics across the patient with ARDS, uneven distribution can be exaggerated by positive pressure ventilation. A modality that can offer dynamic image of ventilation may benefit for the individualized lung protective management. Ideal imaging technique for ventilatory management of ARDS patients is expected to be used at bedside repeatedly at any time given during the clinical course. Electrical impedance tomography (EIT) is a real-time, non-invasive monitoring tool that can visualize the distribution of ventilation how the lungs are ventilated. The temporal and spatial distribution and time delay during both inspiratory and expiratory phase are not only visually recognized, but also quantified as clinically distinctive parameters by adding subsequent analysis using recorded impedance data. In clinical practice aiming at homogenous ventilation to prevent further lung injury, EIT can be used to evaluate the existing pathological condition and the real-time response to therapeutic interventions, such as change in ventilatory settings, prone positioning, and administration of muscle relaxant, which helps clinicians choose appropriate strategies to fit individual patient’s needs.

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Authors and Affiliations

  1. Department of Intensive Care Medicine, Showa University School of Medicine, Tokyo, Japan

    Atsuko Shono & Toru Kotani

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  1. Atsuko Shono
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  2. Toru Kotani
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Correspondence to Toru Kotani .

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Editors and Affiliations

  1. Department of Respiratory Medicine, Hirosaki University, Graduate School of Medicine, Hirosaki, Japan

    Sadatomo Tasaka

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Shono, A., Kotani, T. (2022). Imaging Technique for Ventilatory Management of ARDS Patients: Novel Monitoring Tool—Electrical Impedance Tomography. In: Tasaka, S. (eds) Acute Respiratory Distress Syndrome. Respiratory Disease Series: Diagnostic Tools and Disease Managements. Springer, Singapore. https://doi.org/10.1007/978-981-16-8371-8_13

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  • DOI: https://doi.org/10.1007/978-981-16-8371-8_13

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