Publications by authors named "A E Khanin"

Background: Volume reduction surgery is a routine treatment method for lung emphysema in chronic obstructive pulmonary disease (COPD) patients. The formation of giant bullous emphysema is an indication for surgical bullectomy. Bilateral giant bullae severely compromise lung function and complicate surgical treatment.

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In computed tomography, there is a tradeoff between the quality of the reconstructed image and the radiation dose received by the patient. In order to find an appropriate compromise between the image quality of the reconstructed images and the radiation dose, it is important to have reliable methods for evaluating the quality of the reconstructed images. A successful family of methods for the assessment of image quality is task-based image quality assessment, which often involves the use of model observers, and which assesses the quality of the image reconstruction by deriving a figure of merit.

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Model observers are mathematical classifiers that are used for the quality assessment of imaging systems such as computer tomography. The quality of the imaging system is quantified by means of the performance of a selected model observer. For binary classification tasks, the performance of the model observer is defined by the area under its ROC curve (AUC).

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Cranio-cerebral traumatism occupies the first place among the causes of lethal outcomes and invalidism of the population and is a serious social-economic problem. This situation requires further improvement of organization of neurotraumatic aid to the population. The work determined the regional features of the problem of cranio-cerebral traumatism in the Kamchatka Territory and proposed scientific reasons for organization of medical aid to patients with cranio-cerebral injuries.

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A simple mathematical model was developed to grade the results of the fraction of inspiratory CO2 levels in respiratory protective devices (RPDs). Using this model, the level of FiCO2 of two chemical warfare RPDs was monitored during the examination of 54 young male volunteers at rest and exercise. No set of results distributed in a normal Gaussian mode; therefore, parametric statistics could not be used to analyze the group's results.

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