Literature DB >> 24976926

Effectiveness of chest radiography, lung ultrasound and thoracic computed tomography in the diagnosis of congestive heart failure.

Luciano Cardinale1, Adriano Massimiliano Priola1, Federica Moretti1, Giovanni Volpicelli1.   

Abstract

Hydrostatic pulmonary edema is as an abnormal increase in extravascular water secondary to elevated pressure in the pulmonary circulation, due to congestive heart failure or intravascular volume overload. Diagnosis of hydrostatic pulmonary edema is usually based on clinical signs associated to conventional radiography findings. Interpretation of radiologic signs of cardiogenic pulmonary edema are often questionable and subject. For a bedside prompt evaluation, lung ultrasound (LUS) may assess pulmonary congestion through the evaluation of vertical reverberation artifacts, known as B-lines. These artifacts are related to multiple minimal acoustic interfaces between small water-rich structures and alveolar air, as it happens in case of thickened interlobular septa due to increase of extravascular lung water. The number, diffusion and intensity of B lines correlates with both the radiologic and invasive estimate of extravascular lung water. The integration of conventional chest radiograph with LUS can be very helpful to obtain the correct diagnosis. Computed tomography (CT) is of limited use in the work up of cardiogenic pulmonary edema, due to its high cost, little use in the emergencies and radiation exposure. However, a deep knowledge of CT signs of pulmonary edema is crucial when other similar pulmonary conditions may occasionally be in the differential diagnosis.

Entities:  

Keywords:  Dyspnea; Emergency department; Heart Failure/ultrasonography; Heart failure/complications; Interstitial/ultrasonography; Lung diseases; Pulmonary edema/radiography; Pulmonary edema/ultrasonography; Ultrasonography

Year:  2014        PMID: 24976926      PMCID: PMC4072810          DOI: 10.4329/wjr.v6.i6.230

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


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5.  Classification of clinically relevant intravascular volume status using point of care ultrasound and machine learning.

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