Objectives: Interstitial lung disease (ILD) associated with the antimelanoma differentiation-associated protein 5 (anti-MDA5) antibody is a rapidly progressive disease that requires timely, aggressive treatment. However, prompt diagnosis is difficult due to the longer time required for antibody detection. This study described the computed tomography (CT) findings of anti-MDA5 antibody-positive ILD (anti-MDA5-ILD).
Methods: CT findings of 20 patients (7 men, 13 women; mean age, 53.6 ± 13.5 years) with anti-MDA5-ILD were retrospectively reviewed. All patients had clinical diagnoses of dermatomyositis, and 14 patients presented with amyopathic findings.
Results: Bilateral ground-glass attenuation, air-space consolidation, and reticular shadows were observed in 20 (100%), 15 (75%), and 3 (15%) patients, respectively. The spread of air-space consolidation was 6.0 ± 5.6% (mean ± standard deviation). Univariate analysis revealed that high Krebs von den Lungen-6, high spread of consolidation, low partial pressure of oxygen, and low forced vital capacity were significant predictors for poor survival. The final radiological diagnoses were nonspecific interstitial pneumonia and organising pneumonia (OP) in 2 (10%) and 16 (80%) patients, respectively. Further, 30% of OP patients showed fibrosis.
Conclusion: The characteristic CT findings of patients with anti-MDA5-ILD were ground-glass attenuation, air-space consolidation, and less reticulation. These CT findings were compatible with those of OP.
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http://dx.doi.org/10.1093/mr/roab006 | DOI Listing |
Front Oncol
October 2024
Department of Nuclear Medicine, Jiangxi Provincial People's Hospital, the First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Pulmonary enteric adenocarcinoma (PEAC), an uncommon variant of lung cancer, presents significant diagnostic challenges due to its overlapping characteristics with colorectal adenocarcinomas. We present a case of a 55-year-old non-smoking female patient diagnosed with PEAC. The patient's initial symptoms included fever, cough, and sputum production, with air space consolidation on CT, leading to an initial diagnosis of pneumonia.
View Article and Find Full Text PDFAir Med J
September 2024
University of Cape Town, Cape Town, South Africa. Electronic address:
J Spec Oper Med
October 2024
86th IBCT (MTN), VTARNG.
Introduction: Mass casualty events (MASCALs) in the combat environment, which involve large numbers of casualties that overwhelm immediately available resources, are fundamentally chaotic and dynamic and inherently dangerous. Formal triage systems use diagnostic algorithms, colored markers, and four or more named categories. We hypothesized that formal triage systems are inadequately trained and practiced and too complex to successfully implement in true MASCAL events.
View Article and Find Full Text PDFChest
October 2024
Department of Radiology, NYU Langone Health; NYU Grossman School of Medicine, New York, NY. Electronic address:
Topic Importance: Chest CT imaging holds a major role in the diagnosis of lung diseases, many of which affect the peribronchovascular region. Identification and categorization of peribronchovascular abnormalities on CT imaging can assist in formulating a differential diagnosis and directing further diagnostic evaluation.
Review Findings: The peribronchovascular region of the lung encompasses the pulmonary arteries, airways, and lung interstitium.
Sci Robot
June 2024
Micro Air Vehicle Lab, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, Netherlands.
This Review discusses the main results obtained in training end-to-end neural architectures for guidance and control of interplanetary transfers, planetary landings, and close-proximity operations, highlighting the successful learning of optimality principles by the underlying neural models. Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission. Sensorimotor actions are thus often derived from high-level, quantifiable, optimality principles assigned to each task, using consolidated tools in optimal control theory.
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