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Minerva anestesiologica · Apr 2022
Ten conditions where lung ultrasonography may fail: limits, pitfalls and lessons learned from a computer-aided algorithmic approach.
- Francesco Corradi, Luigi Vetrugno, Alessandro Isirdi, Elena Bignami, Patrizia Boccacci, and Francesco Forfori.
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy - francesco.corradi@unipi.it.
- Minerva Anestesiol. 2022 Apr 1; 88 (4): 308-313.
AbstractLung ultrasonography provides relevant information on morphological and functional changes occurring in the lungs. However, it correlates weakly with pulmonary congestion and extra vascular lung water. Moreover, there is lack of consensus on scoring systems and acquisition protocols. The automation of this technique may provide promising easy-to-use clinical tools to reduce inter- and intra-observer variability and to standardize scores, allowing faster data collection without increased costs and patients risks.
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