著者

Hiroto Yabushita Shinichi Goto Sunao Nakamura Hideki Oka Masamitsu Nakayama Shinya Goto

出版者

Japan Atherosclerosis Society

雑誌

Journal of Atherosclerosis and Thrombosis (ISSN:13403478)

巻号頁・発行日

pp.59675, (Released:2020-10-02)

参考文献数

31

被引用文献数

5

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Aim: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologists. Whether artificial intelligence (AI) could detect coronary stenosis from CAG video is unclear. Methods: The 199 consecutive patients who underwent coronary arteriography (CAG) with chest pain between December 2018 and May 2019 was enrolled. Each patient underwent CAG with multiple view resulting in total numbers of 1,838 videos. A multi-layer 3-dimensional convolution neural network (CNN) was trained as an AI to detect clinically meaningful coronary artery stenosis diagnosed by the expert interventional cardiologist, using data from 146 patients (resulted in 1,359 videos) randomly selected from the entire dataset (training dataset). This training dataset was further split into 109 patients (989 videos) for derivation and 37 patients (370 videos) for validation. The AI developed in derivation cohort was tuned in validation cohort to make final model. Results: The final model was selected as the model with best performance in validation dataset. Then, the predictive accuracy of final model was tested with the remaining 53 patients (479 videos) in test dataset. Our AI model showed a c-statistic of 0.61 in validation dataset and 0.61 in test dataset, respectively. Conclusion: An artificial intelligence applied to CAG videos could detect clinically meaningful coronary atherosclerotic stenosis diagnosed by expert cardiologists with modest predictive value. Further studies with improved AI at larger sample size is necessary.

著者

Masamitsu Nakayama Shinichi Goto Teppei Sakano Shinya Goto

出版者

Japan Atherosclerosis Society

雑誌

Journal of Atherosclerosis and Thrombosis (ISSN:13403478)

巻号頁・発行日

pp.63798, (Released:2022-10-21)

参考文献数

33

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Aims: Whether the multi-dimensional data of serially measured blood pressure contains information for predicting the future risk of death in elderly individuals in nursing homes is unclear. Methods: Of the elderly individuals staying in a nursing home, 19,740 and 40,055 individuals with serially measured blood pressure from day 1 to 365 (for AI-long) and 1 to 90 (for AI-short) along with the death information at day 366 to 730 and 91-365 were included. The neural network-based artificial intelligence (AI) was applied to find the relationship between BP time-series and the future risks of death in both populations. Results: AI-long found a significant relationship between the serially measured BP from day 1 to day 365 days and the risk of death occurring 366-730 days with c-statistics of 0.57 (95% CI: 0.51-0.63). AI-short also found a significant relationship between the serially measured BP from day 1 to day 90 and the rate of death occurring 91-365 days with c-statistics of 0.58 (95%CI: 0.52-0.63). Conclusion: Our results suggest that neural network-based AI could find the hidden subtle relationship between multi-dimensional data of serially measured BP and the future risk of death in apparently healthy elderly Japanese individuals under nursing care.

著者

Masamitsu Nakayama Shinichi Goto Shinya Goto

出版者

JAPANESE SOCIETY OF BIORHEOLOGY

雑誌

Journal of Biorheology (ISSN:18670466)

巻号頁・発行日

vol.36, no.2, pp.68-75, 2022 (Released:2022-10-25)

参考文献数

42

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A1 domain of von Willebrand factor (VWF) binding with platelet glycoprotein (GP) Ibα play crucial roles in platelet adhesion and subsequent passive shape changes in the platelets such as pseudopod formation under high wall shear rate conditions. However, the effects of specific inhibitors of VWF binding with GPIbα on the length of pseudopods supporting platelet adhesion on VWF are still to be elucidated. Here we measured the length of pseudopods in the presence of VWF-GPIbα inhibitor of caplacizumab. The length of pseudopods was 6.5 ± 0.2 μm (mean ± 95% confidential interval [CI]) and 6.9 ± 0.2 μm (mean ± 95% CI) at 100 and 200 nM of caplacizumab concentrations and was longer than those formed in its absence (5.2 ± 0.2 μm, p < 0.05). Our experiments also revealed that the surface area coverage by platelets in the presence of caplacizumab at a concentration of 200 nM of 26.1 ± 6.4% after 60-second blood perfusion was smaller than its absence (45.2 ± 7.5%, p < 0.05). Our results suggest that fewer numbers of VWF-GPIbα bonds generating larger binding force with a longer length of pseudopods, support the platelet adhesion on VWF in the presence of caplacizumab at a wall shear rate of 1,500 s–1.