Publications by authors named "M Kanamoto"
Article Synopsis
- A study investigated the effects of carbapenems as initial antibiotics on mortality rates in critically ill patients with bacterial infections, utilizing data from 268 patients across 31 Japanese ICUs.
- Results showed no significant difference in 28-day mortality between patients treated with carbapenems and those who were not (18% vs 16%).
- However, a longer duration of carbapenem use was associated with an increased risk of detecting multidrug-resistant pathogens.
Article Synopsis
- - The study evaluates the effectiveness of deep neural networks (DNNs) in improving the quantification of cerebral blood flow (CBF) and cerebral blood volume (CBV) using multiparametric arterial spin labeling (MP-ASL), which is limited by low signal-to-noise ratio (SNR).
- - Results showed that DNNs provided higher accuracy and noise immunity and were six times faster in computation compared to conventional lookup table (LUT) methods, especially during tasks that induced changes in CBF and CBV.
- - The research concluded that DNN methods outperform both conventional DNN and LUT in estimating CBF and CBV, while all methods tested maintained good reproducibility.
Objective: A simulation-based supervised deep neural network (DNN) can accurately estimate cerebral blood flow (CBF) and arterial transit time (ATT) from multidelay arterial spin labeling signals. However, the performance of deep learning depends on the characteristics of the training data set. We aimed to investigate the effects of the ground truth (GT) ranges of CBF and ATT on the performance of the DNN when training data were prepared using arterial spin labeling signal simulation.
View Article and Find Full Text PDFAn 82-year-old woman suddenly developed chest pain and apoplexy. Computed tomography (CT) showed acute type A aortic dissection, the true lumen in the brachicephalic artery was severely compressed by the faulse lumen. Pulsation in the either leg was not detected during induction of anesthesia.
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