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Increased radiographic stifle soft tissue opacity in dogs with patella luxation.
Vet Surg
March 2025
Department of Clinical Studies & Advanced Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Objective: To determine the prevalence of increased radiographic soft tissue opacity in canine stifles with patella luxation in the absence of overt cranial cruciate ligament (CCL) pathology.
Study Design: Retrospective case series.
Animal Population: A total of 49 client-owned dogs (57 limbs).
Autoimmune Pulmonary Alveolar Proteinosis: A Rare Diagnosis in Pediatric Age.
J Investig Med High Impact Case Rep
March 2025
Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
Autoimmune pulmonary alveolar proteinosis (AI-PAP) is a rare condition, especially in children. The clinical presentation ranges from asymptomatic forms to respiratory distress requiring ventilation. We describe the case of a 13-year-old adolescent male who presented to the emergency department with acute pleuritic chest pain not associated with systemic complaints.
View Article and Find Full Text PDFA Rare Pathogenic Masquerader of Pulmonary Disease: A Case Report.
Cureus
February 2025
Pulmonology, Carolina Lung Clinic, Piedmont Medical Center, Rock Hill, USA.
This case report details a 61-year-old male patient with a history of chronic obstructive pulmonary disease (COPD) and significant smoking exposure, who presented with progressive anorexia, weight loss, nocturnal sweating, and worsening respiratory symptoms in early 2024. Imaging revealed bi-apical opacities with cavitation, and sputum cultures identified , a rare nontuberculous mycobacterium (NTM). The patient was managed with a multi-drug regimen including azithromycin, rifampin, and ethambutol, targeting symptom relief, radiographic stability, and sputum conversion.
View Article and Find Full Text PDFLung delineation constitutes a critical preprocessing stage for X-ray-based diagnosis and follow-up. However, automatic lung segmentation from chest radiographs (CXR) poses a challenging problem due to anatomical structures' varying shapes and sizes, the differences between radio-opacity, contrast, and image quality, and the requirement of complex models for automatic detection of regions of interest. This work proposes the automated lung segmentation methodology DenseCX, based on U-Net architectures and transfer learning techniques.
View Article and Find Full Text PDFAutomated classification of chest X-rays: a deep learning approach with attention mechanisms.
BMC Med Imaging
March 2025
Department of Industrial Engineering, Baskent University, Etimesgut, Ankara, 06790, Türkiye.
Background: Pulmonary diseases such as COVID-19 and pneumonia, are life-threatening conditions, that require prompt and accurate diagnosis for effective treatment. Chest X-ray (CXR) has become the most common alternative method for detecting pulmonary diseases such as COVID-19, pneumonia, and lung opacity due to their availability, cost-effectiveness, and ability to facilitate comparative analysis. However, the interpretation of CXRs is a challenging task.
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