Q
Qin Lu
Researcher at Pierre-and-Marie-Curie University
Publications - 77
Citations - 5460
Qin Lu is an academic researcher from Pierre-and-Marie-Curie University. The author has contributed to research in topics: Lung injury & Lung. The author has an hindex of 36, co-authored 67 publications receiving 4732 citations.
Papers
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Journal ArticleDOI
Bedside Ultrasound Assessment of Positive End-Expiratory Pressure–induced Lung Recruitment
TL;DR: PEEP-induced lung recruitment can be adequately estimated with bedside LUS, and LUS should not be the sole method for PEEP titration.
Journal ArticleDOI
Ultrasound assessment of lung aeration loss during a successful weaning trial predicts postextubation distress
Alexis Soummer,Sébastien Perbet,Hélène Brisson,Charlotte Arbelot,Jean-Michel Constantin,Qin Lu,Jean-Jacques Rouby +6 more
TL;DR: Lung ultrasound determination of aeration changes during a successful spontaneous breathing trial may accurately predict postextubation distress.
Journal ArticleDOI
Ultrasound assessment of antibiotic-induced pulmonary reaeration in ventilator-associated pneumonia
Belaid Bouhemad,Zhi-Hai Liu,Charlotte Arbelot,Mao Zhang,Fabio Ferarri,Morgan Le-Guen,Martin Girard,Qin Lu,Jean-Jacques Rouby +8 more
TL;DR: Lung reaeration can be accurately estimated with bedside lung ultrasound in patients with ventilator-associated pneumonia treated by antibiotics, and lung ultrasound can also detect the failure of antibiotics to reaerate the lung.
Journal ArticleDOI
Computed tomography assessment of positive end-expiratory pressure-induced alveolar recruitment in patients with acute respiratory distress syndrome
Luiz Marcelo Sá Malbouisson,Jean-Charles Muller,Jean-Michel Constantin,Qin Lu,Louis Puybasset,Jean-Jacques Rouby +5 more
TL;DR: A new CT method in which PEEP-induced alveolar recruitment is computed as the volume of gas penetrating in poorly and nonaerated lung regions following PEEP is described, suggesting that it may be more accurate than Gattinoni's method.
Journal ArticleDOI
Acute respiratory distress syndrome: lessons from computed tomography of the whole lung.
TL;DR: Selection of the optimal positive end-expiratory pressure level should not only consider optimizing alveolar recruitment, it should also focus on limiting lung overinflation and counterbalancing compression of the lower lobes by maneuvers such as appropriate body positioning.