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23 0 0 0 OA Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies

著者
Susumu Katsushika Satoshi Kodera Mitsuhiko Nakamoto Kota Ninomiya Nobutaka Kakuda Hiroki Shinohara Ryo Matsuoka Hirotaka Ieki Masae Uehara Yasutomi Higashikuni Koki Nakanishi Tomoko Nakao Norifumi Takeda Katsuhito Fujiu Masao Daimon Jiro Ando Hiroshi Akazawa Hiroyuki Morita Issei Komuro
出版者
The Japanese Circulation Society
雑誌
Circulation Journal (ISSN:13469843)
巻号頁・発行日
vol.86, no.1, pp.87-95, 2021-12-24 (Released:2021-12-24)
参考文献数
27
被引用文献数
2 15
Background:Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.Methods and Results:Among the patients who underwent echocardiography from January 2015 to December 2019, we chose 151 echocardiographic movies from 50 CS patients and 151 from 149 healthy subjects. We trained two 3D convolutional neural networks (3D-CNN) to identify CS patients using a dataset of 212 echocardiographic movies with and without a transfer learning method (Pretrained algorithm and Non-pretrained algorithm). On an independent set of 41 echocardiographic movies, the area under the receiver-operating characteristic curve (AUC) of the Pretrained algorithm was greater than that of Non-pretrained algorithm (0.842, 95% confidence interval (CI): 0.722–0.962 vs. 0.724, 95% CI: 0.566–0.882, P=0.253). The AUC from the interpretation of the same set of 41 echocardiographic movies by 5 cardiologists was not significantly different from that of the Pretrained algorithm (0.855, 95% CI: 0.735–0.975 vs. 0.842, 95% CI: 0.722–0.962, P=0.885). A sensitivity map demonstrated that the Pretrained algorithm focused on the area of the mitral valve.Conclusions:A 3D-CNN with a transfer learning method may be a promising tool for detecting CS using an echocardiographic movie.

9 0 0 0 OA Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies

著者
Susumu Katsushika Satoshi Kodera Mitsuhiko Nakamoto Kota Ninomiya Nobutaka Kakuda Hiroki Shinohara Ryo Matsuoka Hirotaka Ieki Masae Uehara Yasutomi Higashikuni Koki Nakanishi Tomoko Nakao Norifumi Takeda Katsuhito Fujiu Masao Daimon Jiro Ando Hiroshi Akazawa Hiroyuki Morita Issei Komuro
出版者
The Japanese Circulation Society
雑誌
Circulation Journal (ISSN:13469843)
巻号頁・発行日
pp.CJ-21-0265, (Released:2021-06-26)
参考文献数
27
被引用文献数
15
Background:Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.Methods and Results:Among the patients who underwent echocardiography from January 2015 to December 2019, we chose 151 echocardiographic movies from 50 CS patients and 151 from 149 healthy subjects. We trained two 3D convolutional neural networks (3D-CNN) to identify CS patients using a dataset of 212 echocardiographic movies with and without a transfer learning method (Pretrained algorithm and Non-pretrained algorithm). On an independent set of 41 echocardiographic movies, the area under the receiver-operating characteristic curve (AUC) of the Pretrained algorithm was greater than that of Non-pretrained algorithm (0.842, 95% confidence interval (CI): 0.722–0.962 vs. 0.724, 95% CI: 0.566–0.882, P=0.253). The AUC from the interpretation of the same set of 41 echocardiographic movies by 5 cardiologists was not significantly different from that of the Pretrained algorithm (0.855, 95% CI: 0.735–0.975 vs. 0.842, 95% CI: 0.722–0.962, P=0.885). A sensitivity map demonstrated that the Pretrained algorithm focused on the area of the mitral valve.Conclusions:A 3D-CNN with a transfer learning method may be a promising tool for detecting CS using an echocardiographic movie.

8 0 0 0 OA Normal Values of Echocardiographic Right Ventricular Size and Systolic Function Measurements in a Healthy Japanese Population ― Subanalysis of the WASE Study ―

著者
Naoko Sawada Koki Nakanishi Tomoko Nakao Tatsuya Miyoshi Masaaki Takeuchi Federico M. Asch Roberto M. Lang Masao Daimon
出版者
The Japanese Circulation Society
雑誌
Circulation Reports (ISSN:24340790)
巻号頁・発行日
pp.CR-23-0076, (Released:2023-10-18)
参考文献数
16
Background: Although accurate assessment of right ventricular (RV) morphology and function is clinically important, data regarding reference values for echocardiographic measurements of the right ventricle in the Japanese population are limited.Methods and Results: The World Alliance Society of Echocardiography (WASE) Normal Values Study was conducted to examine normal echocardiographic values in 15 countries. Using the WASE study database, we analyzed 2-dimensional echocardiographic parameters of RV size and systolic function in 192 healthy Japanese individuals and compared them with those obtained from 153 healthy American individuals. In the Japanese population, the absolute values of RV dimensions were smaller for women than men, although the difference disappeared after the data were adjusted for body surface area. RV dimensions, RV length and RV area were smaller in the elderly, but age did not affect RV systolic function. The absolute value, but not the adjusted value, of RV size tended to be smaller in Japanese than American individuals for both sexes. For men, RV systolic function parameters were lower in the Japanese population. This trend was not seen in women.Conclusions: The present study identified normal reference values for RV size and systolic function in a healthy Japanese population. Sex, age, and race had a significant impact on RV size; however, this trend was weak for RV systolic function.

5 0 0 0 OA The impact of night-shift work on platelet function in healthy medical staff

著者
Tomoko Nakao Atsushi Yasumoto Suzumi Tokuoka Yoshihiro Kita Takuya Kawahara Masao Daimon Yutaka Yatomi
出版者
Japan Society for Occupational Health
雑誌
Journal of Occupational Health (ISSN:13419145)
巻号頁・発行日
vol.60, no.4, pp.324-332, 2018-07-20 (Released:2018-07-25)
参考文献数
39
被引用文献数
11
Objectives: Rotating shift work has been reported to increase the risk of cardiovascular diseases. Vascular endothelial dysfunction and platelet activation are among the leading causes of thrombus formation in patients with myocardial infarction or stroke. Endothelial function has been shown to be impaired immediately after night-shift work; however, it is not known whether platelets are also activated. The aim of this study was to investigate the acute impact of night-shift work on platelet function. Methods: This observational study included 11 healthy medical staff members (seven women, median age 32 years). We examined each subject's platelet aggregation rates and the serum concentrations of eicosanoid mediators after night-shift work and on day-shift work without preceding night-shift work (baseline). Results: Platelet aggregation did not differ from baseline levels after night-shift work. However, serum cyclooxygenase (COX)-metabolized eicosanoid mediators, particularly thromboxane (Tx) B2 (a stable metabolite of TxA2 and the most important marker of platelet activation), were significantly higher after the night-shift than at baseline (median 65.3 vs 180.4 ng/ml). Conclusions: Although platelet aggregation did not increase, there was an increase in serum COX-metabolized eicosanoid mediators such as TxB2 in healthy medical staff after night-shift work. This platelet hypersensitivity may be one of the mechanisms underlying the significant association between night-shift work and adverse cardiovascular outcomes.

1 0 0 0 OA Estimation of Right Atrial Pressure on Inferior Vena Cava Ultrasound in Asian Patients

著者
Seitetsu L. Lee Masao Daimon Takayuki Kawata Takahide Kohro Koichi Kimura Tomoko Nakao Daisuke Koide Masafumi Watanabe Tsutomu Yamazaki Issei Komuro
出版者
The Japanese Circulation Society
雑誌
Circulation Journal (ISSN:13469843)
巻号頁・発行日
vol.78, no.4, pp.962-966, 2014 (Released:2014-03-25)
参考文献数
15
被引用文献数
10 12
Background: Right atrial pressure (RAP) is commonly estimated using inferior vena cava (IVC) diameter and its respirophasic variations. Although a guideline has been provided for estimation of RAP due to variation in IVC dimensions based on studies in Western subjects, echocardiographic values in Asian subjects are unknown. Methods and Results: We studied 369 patients who underwent IVC ultrasound within 24h of right heart catheterization (RHC). The maximum and minimum IVC diameter during a respiratory cycle and the percent collapse after a sniff test were measured. These IVC parameters were compared with mean RAP measured on RHC. Receiver operating characteristic curves were generated for each IVC parameter to determine the optimal cut-off to detect RAP >10mmHg. The IVC maximum diameter cut-off for detecting RAP >10mmHg was 19mm (sensitivity, 75%; specificity, 78%) and the percent collapse cut-off was 30% (sensitivity, 75%; specificity, 83%). Both cut-offs were smaller than those previously reported in patients from Western countries. When the cut-off values from the existing guideline were applied to the present cohort, the sensitivity and specificity for normal RAP (0–5mmHg) were 38.6% and 74.2%, respectively, and 60.0% and 92.0% for elevated RAP (>10mmHg). Conclusions: The optimal IVC maximum diameter and percent collapse cut-offs to detect elevated RAP were smaller in Asian subjects than in a previously reported Western cohort.  (Circ J 2014; 78: 962–966)