Publications by authors named "K Kushida"

Objective: To investigate how the blood flow analysis changes by varying the radiation dose of gastric perfusion CT (PCT) and to prove that a low-radiation dose of PCT is feasible.

Methods: 5 Beagle dogs were used in a crossover study with 6 groups of varying radiation doses. Iodixanol was IV administered at 3.

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This study aimed to investigate the impact of selected analysis conditions on blood flow values and color maps in canine brain perfusion computed tomography (PCT) and to propose optimal analysis conditions. Dynamic computed tomography imaging was performed on six beagle dogs. Color maps were generated using a combination of analysis algorithms (box-modulation transfer function (Box-MTF) and singular value deconvolution plus (SVD+) methods), slice thicknesses (4.

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This study aimed to determine the feasibility of using perfusion computed tomography (CT) to assess blood flow in different regions of the stomach in dogs. Dynamic perfusion CT scans were conducted on five beagle dogs, and blood flow analysis was performed using the maximum slope and Patlak plot methods. The findings revealed significant variations in blood flow among the fundus, body, and pylorus of the stomach.

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Background: Computed tomography (CT) is the gold standard for diagnosing canine nasal diseases. However, it cannot easily detect minor abnormalities in inflammatory diseases because they are not accompanied by obvious morphological changes.

Aim: The present study aimed to compare the differences in normal CT findings of turbinate structure and mucosa between breeds to establish criteria for CT diagnosis of inflammatory diseases of the nasal cavity.

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Background: Radiographic examination of the middle ear in French bulldogs can be challenging due to their small ear cavity and thick walls. Quantifying opacity on radiographic images is required to determine normal or abnormal results.

Aim: To quantify the radiographic opacity of the middle ear in French bulldogs and create a threshold for objective diagnosis.

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