The aim of this study was to investigate whether the parenchymal lung damage in patients suffering from cystic fibrosis (CF) can be equivalently quantified by the Chrispin-Norman (CN) scores determined with low-field magnetic resonance imaging (MRI) and conventional chest radiography (CXR). Both scores were correlated with pulmonary function tests (PFT) and the Shwachman-Kulczycki method (SKM). To evaluate the comparability of MRI and CXR for different states of the disease, all scores were applied to patients divided into three age groups. Seventy-three CF patients (mean SKM score: 62 +/- 8) with a median age (range) of 14 years (7-32) were included. The mean CN scores determined with both imaging methods were comparable (CXR: 12.1 +/- 4.7; MRI: 12.0 +/- 4.5) and showed high correlation (P < 0.05, R = 0.97). Only weak correlations were found between imaging, PFT, and SKM. Both imaging modalities revealed significantly more severe disease expression with age, while PFT and SKM failed to detect early signs of disease. We conclude that imaging of the lung in CF patients is capable of detecting subtle and early parenchymal destruction before lung function or clinical scoring is affected. Furthermore, low-field MRI revealed high consistency with chest radiography and may be used for a thorough follow-up while avoiding radiation exposure.
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http://dx.doi.org/10.1007/s00330-008-0884-2 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Rationale: Traumatic pseudoaneurysm of the sinus of Valsalva (PSV) is a rare but life-threatening condition, often resulting from blunt chest trauma. Rapid progress and a high risk of rupture highlight the importance of prompt diagnosis and intervention. We present a case of a rare pseudoaneurysm linked to the right coronary sinus after blunt chest trauma.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans.
View Article and Find Full Text PDFEchocardiography
January 2025
Radiology Department, Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, UK.
Optimal management of adult congenital heart disease (ACHD) requires a multidisciplinary team (MDT) approach, fostering a collaborative culture over an individualistic approach. Within this framework, subspecialty-trained radiologists provide crucial imaging expertise, supporting cardiologists, surgeons, and interventional cardiologists in diagnoses, treatment planning, and follow-up evaluations. Advanced imaging tools and a nuanced understanding of surgical and interventional procedures enable radiologists to provide valuable insights to clinicians.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Food Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Pneumonia, a leading cause of mortality in children under five, is usually diagnosed through chest X-ray (CXR) images due to its efficiency and cost-effectiveness. However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset.
View Article and Find Full Text PDFJ Imaging
January 2025
Diagnostic Imaging Department, Latifa Hospital, Dubai Health, Dubai P.O. Box 2727, United Arab Emirates.
Chest and abdomen radiographs are the most common radiograph examinations conducted in the Dubai Health sector, with both involving exposure to several radiosensitive organs. Diagnostic reference levels (DRLs) are accepted as an effective safety, optimization, and auditing tool in clinical practice. The present work aims to establish a comprehensive projection and weight-based structured DRL system that allows one to confidently highlight healthcare centers in need of urgent action.
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