Purpose: The aim of this study was to investigate the detectability of simulated pulmonary nodules with different X-ray attenuation by flat-panel detector (FPD) chest radiography using a dual-exposure dual-energy subtraction (DES) technique.
Materials And Methods: Using a FPD radiography system, we obtained 108 sets of chest radiographs of a chest phantom. They consisted of 54 sets each of chest radiographs with and without simulated nodules. Each data set contained a standard and a corresponding dual-energy subtracted chest radiograph (DES image). The diameters of the simulated nodules were 8, 10, and 12 mm, respectively; nodules of each size manifested attenuation of -450, -200, and 30 Hounsfield units (HU). We performed receiver operating characteristic (ROC) analysis to compare the observers' performance in detecting nodules.
Results: For the -450 HU nodules the mean areas under the ROC curve (AUC) without and with DES images were 0.66 and 0.77, respectively; the difference was significant (paired t-test, P < 0.01). For nodules with -200 and 30 HU, there was no significant difference in the AUC value (0.79 vs. 0.77, P = 0.13; 0.92 vs. 0.94, P = 0.17, respectively).
Conclusion: The addition of DES images to standard chest radiographs improved the performance of radiologists charged with detecting simulated nodules with an attenuation of -450 HU.
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http://dx.doi.org/10.1007/s11604-009-0411-7 | DOI Listing |
Respir Med Case Rep
December 2024
Pulmonary and Critical Care Division, Department of Medicine, Phramongkutklao Hospital, Bangkok, Thailand.
Pulmonary cysticercosis is a rare manifestation of human cysticercosis, which mostly occurs in developing countries. The disease can affect the lung parenchyma and pleura, resulting in pulmonary nodules, pneumonitis, lung cavities, or pleural effusion. We herein present a case involving a man of advanced age who presented with symptomatic eosinophilic pleural effusion.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Objective: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists.
Materials And Methods: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset 2). After pre-training a vision transformer with Dataset 1, we integrated it with an LLM influenced by the LLaVA network.
Pediatr Pulmonol
January 2025
Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Braz J Vet Med
January 2025
Veterinarian, DSc, DMCV, IV, UFRRJ, Seropédica RJ, Brazil.
Canine heartworm disease causes significant pulmonary abnormalities, even in asymptomatic cases. This study aimed to compare the chest radiographs of cases infected with with those of heartworm-negative dogs. Fifteen animals treated at a private veterinary clinic in the municipality of Maricá, Rio de Janeiro, underwent chest radiography, regardless of their serological status, for the presence of antigen, and none of them used preventive measures.
View Article and Find Full Text PDFPaediatr Respir Rev
December 2024
Faculty of Medicine, University of Wollongong, Wollongong, NSW, Australia; Department of Respiratory Medicine, The Children's Hospital at Westmead, Westmead, NSW, Australia. Electronic address:
Paediatric pneumonia and its complications present substantial health and economic challenges. While chest radiographs are commonly used as the initial imaging modality for diagnosing uncomplicated pneumonia, they are less effective for complicated cases. In response, various imaging techniques, such as lung ultrasound, computed tomography (CT), and chest MRI, have been integrated into clinical practice to enhance diagnosis and guide management decisions.
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