AIMC Topic: Lymphangioleiomyomatosis

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Ultra-low dose chest CT with silver filter and deep learning reconstruction significantly reduces radiation dose and retains quantitative information in the investigation and monitoring of lymphangioleiomyomatosis (LAM).

European radiology Feb 22, 2024
PURPOSE: Frequent CT scans to quantify lung involvement in cystic lung disease increases radiation exposure. Beam shaping energy filters can optimize imaging properties at lower radiation dosages. The aim of this study is to investigate whether use o...
Humans Algorithms Prospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged Deep Learning Lung Neoplasms Silver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Thoracic Lymphangioleiomyomatosis
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Reductions in pulmonary function detected in patients with lymphangioleiomyomatosis: An analysis of the Japanese National Research Project on Intractable Diseases database.

Respiratory investigation Dec 22, 2015
BACKGROUND: In lymphangioleiomyomatosis (LAM), predicting lung disease progression is essential for treatment planning. However, no previous Japanese studies have attempted to predict the reductions in pulmonary function that occur in LAM patients.
Humans Pregnancy Female Adult Male Middle Aged Lung Neoplasms Forced Expiratory Volume Japan Databases as Topic Statistics as Topic Lymphangioleiomyomatosis
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