Background In a patient with pleural effusion, cytological study (CS) is one of the most useful investigations, especially when malignancy is suspected.
T. Assawasaksakul+2 more
semanticscholar +1 more source
Aim: To analyze the association between pleural effusion detected by chest point of care ultrasound (POCUS) and clinical outcomes in patients with septic shock admitted to an intensive care unit (ICU).
Erick Joel Rendón-Ramirez+10 more
doaj +1 more source
Diagnostic value of medical thoracoscopy in malignant pleural effusion
BackgroundMedical thoracoscopy has been shown to be an efficacious procedure in diagnosing unexplained exudative pleural effusions with excellent safety. This study aimed to assess the diagnostic significance of thoracoscopy in the management of patients
Yan-bing Wu+6 more
semanticscholar +1 more source
Background: The discrimination of pleural thickening from minimal pleural effusion may be difficult as both lesions appear as anechoic on grayscale ultrasound, hence, free of “echoes” does not confirm the presence of pleural fluid.
Ali A. Hasan+2 more
doaj +1 more source
Using artificial intelligence to detect chest X-rays with no significant findings in a primary health care setting in Oulu, Finland [PDF]
Objectives: To assess the use of artificial intelligence-based software in ruling out chest X-ray cases, with no significant findings in a primary health care setting. Methods: In this retrospective study, a commercially available artificial intelligence (AI) software was used to analyse 10 000 chest X-rays of Finnish primary health care patients. In
arxiv
Will pleural fluid affect surface wave speed measurements of the lung using lung ultrasound surface wave elastography: experimental and numerical studies on sponge phantom? [PDF]
Pleural effusion manifested as compression of pleural fluid on the lung parenchyma, contributing to hypoxemia. Medical procedure such as drainage of plural fluid releases this compression and increase the oxygenation. However, the effect of pleural effusion on the elasticity of lung parenchyma is unknown.
arxiv
Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images [PDF]
Deep learning models can be applied successfully in real-work problems; however, training most of these models requires massive data. Recent methods use language and vision, but unfortunately, they rely on datasets that are not usually publicly available.
arxiv
Objective The aim of our study was to evaluate the role of 18F-FDG PET/CT integrated imaging in differentiating malignant from benign pleural effusion.
Yajuan Sun+3 more
semanticscholar +1 more source
Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice [PDF]
In this study, we developed a deep-learning-based automatic detection algorithm (DLAD, Carebot AI CXR) to detect and localize seven specific radiological findings (atelectasis (ATE), consolidation (CON), pleural effusion (EFF), pulmonary lesion (LES), subcutaneous emphysema (SCE), cardiomegaly (CMG), pneumothorax (PNO)) on chest X-rays (CXR).
arxiv
Clinical and etiological profile of an exudative pleural effusion in a tertiary care center
Background: Pleural effusion is common clinical entity in day-to-day clinical practice. There are various etiologies for pleural effusion. Among those tubercular pleural effusion, parapneumonic effusion, malignant effusion, and congestive heart failure ...
S Laxma Reddy+5 more
doaj +1 more source