Videography effect of RM on the heterogeneity of ventilation in ARDS

doi:10.3877/cma.j.issn.2096-1537.2018.03.014

Abstract

Abstract:

Acute respiratory distress syndrome is the most common acute respiratory failure. Massive alveolar collapse and heterogeneity of ventilation are the significant pathophysiology changes. Heterogeneity is an independent risk factor for ARDS. Therefore, it is important to evaluate the heterogeneity of gas distribution. We will be focusing on the recent developments yielded by five techniques: digital radiography; computed tomography (CT), PET, electrical impedance tomography (EIT), and ultrasound.

Key words: Respiratory distress syndrome, acute, Imaging monitoring, Pulmonary ventilation, Imaging techniques

Lihui Wang, Chun Pan, Yingzi Huang. Videography effect of RM on the heterogeneity of ventilation in ARDS[J]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2018, 04(03): 285-288.

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URL: https://icu.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2096-1537.2018.03.014

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References 21

1	McIntyre RC Jr,Pulido EJ,Bensard DD, et al. Thirty years of clinical trials in acute respiratory distress syndrome [J]. Crit Care Med, 2000, 28(9): 3314-3331.
2	Dushianthan A,Grocott MP,Postle AD, et al. Acute respiratory distress syndrome and acute lung injury [J]. Postgrad Med J, 2011, 87(1031): 612-622.
3	Wallet F,Delannoy B,Haquin A, et al. Evaluation of recruited lung volume at inspiratory plateau pressure with PEEP using bedside digital chest X-ray in patients with acute lung injury/ARDS [J]. Respir Care, 2013, 58(3): 416-423.
4	Ferguson ND,Fan E,Camporota L, et al. The Berlin definition of ARDS: an expanded rationale, justification, and supplementary material [J]. Intensive Care Med, 2012, 38(10): 1573-1582.
5	Xirouchaki N,Magkanas E,Vaporidi K, et al. Lung ultrasound in critically ill patients: comparison with bedside chest radiography [J]. Intensive Care Med, 2011, 37(9): 1488-1493.
6	Endo S,Shibata S,Sato N, et al. A prospective cohort study of ALI/ARDS in the Tohoku district of Japan (second report) [J]. J Anesth, 2010, 24(3): 351-358.
7	Gattinoni L,Presenti A,Torresin A, et al. Adult respiratory distress syndrome profiles by computed tomography [J]. J Thorac Imaging, 1986, 1(3): 25-30.
8	Gattinoni L,Caironi P,Cressoni M, et al. Lung recruitment in patients with the acute respiratory distress syndrome [J]. N Engl J Med, 2006, 354(17): 1775-1786.
9	Dakin J,Jones AT,Hansell DM, et al. Changes in lung composition and regional perfusion and tissue distribution in patients with ARDS [J]. Respirology, 2011, 16(8): 1265-1272.
10	Strumwasser A,Chu E,Yeung L, et al. A novel CT volume index score correlates with outcomes in polytrauma patients with pulmonary contusion [J]. J Surg Res, 2011, 170(2): 280-285.
11	Via G,Storti E,Gulati G, et al. Lung ultrasound in the ICU: from diagnostic instrument to respiratory monitoring tool [J]. Minerva Anestesiol, 2012, 78(11): 1282-1296.
12	Volpicelli G,Elbarbary M,Blaivas M, et al. International evidence-based recommendations for point-of-care lung ultrasound [J]. Intensive Care Med, 2012, 38(4): 577-591.
13	Caiulo VA,Gargani L,Caiulo S, et al. Lung ultrasound in bronchiolitis: comparison with chest X-ray [J]. Eur J Pediatr, 2011, 170(11): 1427-1433.
14	Baldi G,Gargani L,Abramo A, et al. Lung water assessment by lung ultrasonography in intensive care: a pilot study [J]. Intensive Care Med, 2013, 39(1): 74-84.
15	Bouhemad B,Brisson H,Le-Guen M, et al. Bedside ultrasound assessment of positive end-expiratory pressure-induced lung recruitment [J]. Am J Respir Crit Care Med, 2011, 183(3): 341-347.
16	Chiumello D. Bedside ultrasound assessment of positive end expiratory pressure-induced lung recruitment [J]. Am J Respir Crit Care Med, 2012, 185(4): 457-458.
17	van der Burg PS,Miedema M,de Jongh FH, et al. Cross-sectional changes in lung volume measured by electrical impedance tomography are representativefor the whole lung in ventilated preterm infants [J]. Crit Care Med, 2014, 42(6): 1524-1530.
18	Shi C,Boehme S,Hartmann EK, et al. Novel technologies to detect atelectotrauma in the injured lung [J]. Exp Lung Res, 2011, 37(1): 18-25.
19	Muders T,Luepschen H,Zinserling J, et al. Tidal recruitment assessed by electrical impedance tomography and computed tomography in a porcine model of lung injury [J]. Crit Care Med, 2012, 40(3): 903-911.
20	Borges JB,Suarez-Sipmann F,Bohm SH, et al. Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse [J]. J Appl Physiol (1985), 2012, 112(1): 225-236.
21	Lundin S,Stenqvist O. Electrical impedance tomography: potentials and pitfalls [J]. Curr Opin Crit Care, 2012, 18(1): 35-41.

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