Research keywords (2):
心エコー図学
, Epicardial adipose tissue
Research theme for competitive and other funds (3):
2021 - 2025 Deep learningを用いた胸部X線画像における肺高血圧病態分類の取り組み
2017 - 2021 Effects of Epicardial Adipose Tissue and Heart Function in Type 2 Diabetic Patients Initiated with SGLT-2 Inhibitors
2016 - 2020 Prognostic value in tissue characterization of carotid plaque using iPlaque software
Papers (186):
Yukina Hirata, Yuka Nomura, Yoshihito Saijo, Masataka Sata, Kenya Kusunose. Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time. Journal of echocardiography. 2024. 22. 3. 162-170
Epicardial Adipose Tissue Thickness Measured by Echocardiography is a Useful Marker for Predicting In-Stent Restenosis
(Euro Echo imaging2018 2018)
Epicardial Adipose Tissue Thickness Measured by Echocardiography is Useful Marker for Predicting Coronary Artery Disease: A Multicenter Study
(AHA2018 2018)
The Japanese Circulation Society
, Japanese College of Cardiology
, JAPANESE SOCIETY OF SONOGRAPHERS
, THE JAPAN SOCIETY OF ULTRASONICS IN MEDICINE
, JAPANESE ASSOCIATION OF MEDICAL TECHNOLOGISTS