Publications by authors named "Makoto Nagayoshi"

Purpose: The purpose of this paper is to analyze the characteristics of incidents related to routes and drains that occur in the radiological examination room for the prevention of these incidents.

Methods: We conducted a questionnaire survey on incident cases that occurred in the radiological examination room. There were 373 responses, of which 76 responses were related to routes and drains.

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Article Synopsis
  • A questionnaire survey was conducted in the radiological examination department to analyze medical accidents, with 373 responses collected, revealing a predominant issue of falls, totaling 197 cases.
  • The study found that 11.7% of these accidents had a serious risk impact (level 3b or higher), and notable statistics indicated that 44.2% of falls were deemed foreseeable.
  • Elderly patients aged 60 to 80 were most affected, with patient factors accounting for 63.5% of accidents, while improving operator and environmental factors could potentially prevent about 30% of such incidents.
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Purpose: The purpose of this study is to analyze the factors of patient's fall that causes serious injury in the radiological examinations.

Methods: We conducted a questionnaire survey on cases of medical accidents occurring in the radiological examination department in medical institutions. The number of responses to the questionnaire surveys was 372.

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We analyzed 197 fall incidents in the questionnaire survey about the incident that occurred in Department of Radiology. In the past paper about the patient safety, there is no report that evaluated incident data directly. The purpose of this paper is to analyze the factor of the medical incidents using statistical technique scientifically.

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Objective: In positron emission tomography (PET) studies, shortening transmission (TR) scan time can improve patient comfort and increase scanner throughput. However, PET images from short TR scans may be degraded due to the statistical noise included in the TR image. The purpose of this study was to apply non-linear Gaussian (NLG) and noise adaptive NLG (ANLG) filters to TR images, and to evaluate the extent of noise reduction by the ANLG filter in comparison with that by the NLG filter using phantom and clinical studies.

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Cerebral blood flow (CBF) can be quantified non-invasively using the brain perfusion index (BPI), which is determined using radionuclide angiographic data obtained through the use of technetium-99m hexamethylpropylene amine oxime (99mTc-HMPAO). The BPI is generally calculated using graphical analysis (GA). In this study, BPI was measured using spectral analysis (SA), and the usefulness of SA was compared with that of GA.

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Cerebral blood flow (CBF) can be quantified non-invasively using the brain perfusion index (BPI) determined from radionuclide angiographic data generated with 99mTc-hexamethylpropylene amine oxime (99mTc-HMPAO). When measuring the BPI, manual drawing of regions of interest (ROIs) (manual ROI method) for the extraction of the arterial input function (AIF) can lead to serious individual differences. The purpose of this study was to apply the fuzzy c-means (FCM) clustering method to determine AIF, and to investigate its usefulness in comparison with the manual ROI method.

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Radionuclide angiography with technetium-99m hexamethylpropylene amine oxime (99mTc-HMPAO) or technetium-99m ethyl cysteinate dimer (99mTc-ECD) enables the non-invasive estimation of absolute cerebral blood flow (CBF) to be determined by using spectral analysis (SA). We previously demonstrated the clinical use of SA; however, this method involves a few manual steps. The aim of this study was to evaluate the interobserver variability of CBF estimations made using SA and compare these results with those obtained by using graphical analysis (GA).

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