Hokkaido University · Medicine
Professor Kaoruko Shimizu's research lab specializes in respiratory medicine, with a focus on chronic airway diseases such as asthma and COPD. The lab investigates the pathophysiology of airway inflammation and remodeling, particularly through novel therapeutic agents like DHMEQ, and explores advanced imaging techniques—including CT-based deep learning and non-invasive pulmonary vascular metrics—for improved diagnosis and prognosis. A key emphasis is placed on identifying biomarkers and imaging phenotypes that predict disease progression and treatment response.
Figures are computed from collected data and may differ slightly.
These results indicate that DHMEQ inhibits allergic airway inflammation and airway remodelling in murine models of asthma. DHMEQ may have therapeutic potential in the treatment of asthma.
These well-established cohorts clarify the different prognostic roles of %LAV and <i>D</i>, whereby lower <i>D</i> is associated with a higher risk of exacerbation and higher %LAV is associated with a rapid decline in lung function and long-term mortality. Combination of %LAV and fractal <i>D</i> may identify COPD subgroups at high risk of a poor clinical outcome more sensitively.
Recently, deep learning applications in medical imaging have been widely applied. However, whether it is sufficient to simply input the entire image or whether it is necessary to preprocess the setting of the supervised image has not been sufficiently studied. This study aimed to create a classifier trained with and without preprocessing for the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification using CT images and to evaluate the classification accuracy of the GOLD cla
The overlap between asthma and chronic obstructive pulmonary disease (COPD) has attracted the interest of pulmonary physicians; thus, measurement of carbon monoxide diffusion capacity (DLco) and/or transfer coefficients (Kco, DLco/V<sub>A</sub>) may become valuable in clinical settings. How these parameters behave in chronic obstructive lung diseases is poorly understood. We predicted that Kco might more accurately reflect emphysematous changes in the lungs than DLco. We examined DLco and Kco in
PA/Ao, %CSA<sub><5</sub>, and PVD are useful non-invasive pulmonary vasculature metrics, both alone and in combination, for diagnosis and haemodynamic assessment of PAH.
The association of mucus plug score with exacerbation frequency and reduced lung function may vary due to airway inflammatory profile and smoking status in asthma.
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