Showing 2 results for Chronic Obstructive Pulmonary Disease
Parsa Hosseini M, Soltanian-Zadeh H, Akhlaghpoor Sh,
Volume 68, Issue 12 (3-2011)
Abstract
Background: Chronic Obstructive Pulmonary Disease (COPD) is one of the most prevalent pulmonary diseases. Use of an automatic system for the detection and diagnosis of the disease will be beneficial to the patients' treatment decision-making process. In this paper, we propose a new approach for the Computer Aided Diagnosis (CAD) of the disease and determination of its severity axial CT scan images.
Methods: In this study, 24 lung CT scans in full inspiratory and expiratory states were performed. Variations in
the normalized pattern of the lungs' external parenchyma were exploited as a feature for COPD diagnosis.Subsequently, a Bayesian classifier was used to classify variations into two normal and abnormal patterns for the discrimination of patients and healthy individuals. Finally, the accuracy of the classification was assessed
statistically.
Results: With the proposed method, the lungs parenchymal elasticity and air-trapping
were determined quantitatively. The more this feature tended to zero, the more severe air-trapping and obstructive pulmonary disease is. By analyzing CT
images in the healthy and patient groups, we calculated the hard threshold for the diagnosis of the disease. Clinical results tested by the
mentioned method, suggested the effectiveness of this approach.
Conclusion: In regard to the challenges of COPD diagnosis, we propose a new computer-aided design which may be helpful to physicians for a more accurate diagnosis of the disease. Moreover, this severity scoring algorithm may be
useful for targeted disease management and risk-adjustment.
Shirin Izadi , Hounaz Akbari , Behzad Farahani , Shahrokh Izadi ,
Volume 73, Issue 4 (7-2015)
Abstract
Background: Chronic obstructive pulmonary disease (COPD) and heart failure are prevalent comorbidities affecting a vast proportion of the world population, responsible for significant morbidity and mortality, their coexistence is more frequent than previously recognized that poses important diagnostic and therapeutic challenges. We intend to determine the prevalence of concomitant left ventricular dysfunction in COPD patients.
Methods: We performed a cross-sectional study in patients who had referred to Firuzgar University Hospital in Tehran from March 2011 to March 2013 in period of 2 years. All participants were compatible for including and excluding criteria’s. In all cases of COPD, pulmonary function test was done also Echocardiography was performed as the diagnostic assessment of heart failure.
Results: Out of 74 participants there was 56(75.7%) male and 18(24.3%) female with the mean age of 67.712.9 (SD), the prevalence of left ventricular systolic dysfunction (LVSD) was 25.70%, also the prevalence of left ventricular diastolic dysfunction (LVDD) was 74.60% among 71 patients. The prevalence of LVSD in patients with and without history of coronary artery disease (CAD) was 33.30% and 15.60% respectively. The prevalence of LVDD was 85.40% in patient with history of CAD and 60% in patients without it. The presence of ventricular dysfunction (neither systolic nor diastolic) in COPD patients was not statistically associated with presence of CAD or the intensity of underlying COPD disease.
Conclusion: Knowledge about the prevalence of concomitant left side heart failure in COPD patients is limited, but it seems the presence is rather common, so more attention should be paid to coexistence of ventricular dysfunction in COPD patients disregarding presence of CAD or COPD intensity in clinical practice.
