2010
DOI: 10.2214/ajr.09.2950
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Differentiation of Pleural Effusions From Parenchymal Opacities: Accuracy of Bedside Chest Radiography

Abstract: Radiologists interpreting bedside chest radiographs of ICU patients detect large pleural effusions 92% of the time and can exclude large effusions with high confidence. However, small and medium effusions often are misdiagnosed as parenchymal opacities (45%) or are not seen (55%). Pulmonary opacities often are missed (34%) but are rarely misdiagnosed as pleural effusions (7%).

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Cited by 36 publications
(29 citation statements)
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“…In this regard, our methodology was similar to that in other studies examining interreader performance in diagnostic imaging with and without an intervention such as computer-aided diagnostic software. Parallel methodology has been used in lung disease, [39][40][41][42][43] breast imaging, 29,[44][45][46] and Alzheimer disease, 26,47 without determining intraobserver variability.…”
Section: 712mentioning
confidence: 99%
“…In this regard, our methodology was similar to that in other studies examining interreader performance in diagnostic imaging with and without an intervention such as computer-aided diagnostic software. Parallel methodology has been used in lung disease, [39][40][41][42][43] breast imaging, 29,[44][45][46] and Alzheimer disease, 26,47 without determining intraobserver variability.…”
Section: 712mentioning
confidence: 99%
“…Bu durumda PA akciğer grafisinde hemidiyafram yükselmiş, düzleşmiş ve kubbesi laterale yer değiştirmiş gibi görünür. Subpulmonik effüzyon sağda saha sıktır ama sol tarafta olduğunda mide-fundus gazı ile akciğer tabanı arasındaki mesafe 2 cm'nin üzerine çıkar [25][26][27][28].…”
Section: Perikard Ve Plevraunclassified
“…However, one could consider at least similar accuracy of conventional chest radiography and SVBT in detecting overall pathologies. Especially pathologies like small pleural effusions are known to be frequently overlooked on chest radiographs [20]. An axial CT slice like a bolus trigger slice would be expected to be more accurate.…”
Section: Sensitivity Specificity Ppv Npv and Accuracymentioning
confidence: 99%