Search

Your search keyword '"Kudo, Ayako"' showing total 37 results
Start Over Author "Kudo, Ayako"
37 results on '"Kudo, Ayako"'

2. Relationship between coronary high-intensity plaques on T1-weighted imaging by cardiovascular magnetic resonance and vulnerable plaque features by near-infrared spectroscopy and intravascular ultrasound: a prospective cohort study

Author

Fukase, Tatsuya, Dohi, Tomotaka, Fujimoto, Shinichiro, Nishio, Ryota, Nozaki, Yui O., Kudo, Ayako, Takeuchi, Mitsuhiro, Takahashi, Norihito, Chikata, Yuichi, Endo, Hirohisa, Kawaguchi, Yuko O., Doi, Shinichiro, Nishiyama, Hiroki, Hiki, Makoto, Okai, Iwao, Iwata, Hiroshi, Yokoyama, Takayuki, Okazaki, Shinya, Miyauchi, Katsumi, Daida, Hiroyuki, Li, Debiao, Xie, Yibin, and Minamino, Tohru

Published
2023
Full Text
View/download PDF

7. Clinical significance of 123I-BMIPP washout rate in patients with uncertain chronic heart failure

Author

Aoshima, Chihiro, Fujimoto, Shinichiro, Kudo, Ayako, Kawaguchi, Yuko O., Takamura, Kazuhisa, Matsue, Yuya, Kato, Takao, Kawamura, Yoshifumi, Kimura, Satoshi, Kamo, Yuki, Nozaki, Yui O., Takahashi, Daigo, Tomizawa, Nobuo, Hiki, Makoto, Kasai, Takatoshi, Nojiri, Shuko, Miyauchi, Hideyuki, Hirano, Ken-ichi, Shimada, Kazunori, Murakami, Koji, and Minamino, Tohru

Published
2022
Full Text
View/download PDF

10. Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography

Author

Tomizawa, Nobuo, primary, Nozaki, Yui, additional, Sato, Hideyuki, additional, Kawaguchi, Yuko, additional, Kudo, Ayako, additional, Takahashi, Daigo, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Fujimoto, Shinichiro, additional, Okai, Iwao, additional, Koga, Seiji, additional, Okazaki, Shinya, additional, Kumamaru, Kanako K, additional, Minamino, Tohru, additional, and Aoki, Shigeki, additional

Published
2024
Full Text
View/download PDF

11. Abstract 10001: Relationship Between Coronary HIPs on Non-Contrast T1-WI by CMR and Vulnerable Plaque Features by NIRS-IVUS

Author

Fukase, Tatsuya, Tomotaka, Dohi, Fujimoto, Shinichiro, Nozaki, Yui, nishio, ryota, Kudo, Ayako, Takeuchi, Mitsuhiro, Takahashi, Norihito, Chikata, Yuichi, Hirohisa, Endo, Kawaguchi, Yuko, Doi, Shinichiro, Nishiyama, Hiroki, Hiki, Makoto, Okai, Iwao, Iwata, Hiroshi, Yokoyama, Takayuki, Okazaki, Shinya, MIYAUCHI, Katsumi, Daida, Hiroyuki, and Minamino, Tohru

Published
2022
Full Text
View/download PDF

13. Fully Automated Coronary Artery Calcium Quantification on ECG-gated Non-contrast Cardiac CT Using Deep-learning with Novel Heart-labeling Method

Author

Takahashi, Daigo, primary, Fujimoto, Shinichiro, additional, Nozaki, Yui O, additional, Kudo, Ayako, additional, Kawaguchi, Yuko O, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Sato, Eisuke, additional, Tomizawa, Nobuo, additional, Daida, Hiroyuki, additional, and Minamino, Tohru, additional

Published
2023
Full Text
View/download PDF

14. Coronary Artery Vorticity to Predict Functional Plaque Progression in Participants with Type 2 Diabetes Mellitus

Author

Tomizawa, Nobuo, primary, Fujimoto, Shinichiro, additional, Mita, Tomoya, additional, Takahashi, Daigo, additional, Nozaki, Yui, additional, Fan, Ruiheng, additional, Kudo, Ayako, additional, Kawaguchi, Yuko, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Kurita, Mika, additional, Kumamaru, Kanako K., additional, Watada, Hirotaka, additional, Minamino, Tohru, additional, and Aoki, Shigeki, additional

Published
2023
Full Text
View/download PDF

15. Fully automated coronary artery calcium quantification on electrocardiogram-gated non-contrast cardiac computed tomography using deep-learning with novel Heart-labelling method.

Author

Takahashi, Daigo, Fujimoto, Shinichiro, Nozaki, Yui O, Kudo, Ayako, Kawaguchi, Yuko O, Takamura, Kazuhisa, Hiki, Makoto, Sato, Eisuke, Tomizawa, Nobuo, Daida, Hiroyuki, and Minamino, Tohru

Subjects
CORONARY artery calcification, COMPUTED tomography, COMPUTER-assisted image analysis (Medicine), ARTIFICIAL intelligence, BLAND-Altman plot, DIAGNOSTIC imaging, DICOM (Computer network protocol)
Abstract

Aims: To develop an artificial intelligence (AI)-model which enables fully automated accurate quantification of coronary artery calcium (CAC), using deep learning (DL) on electrocardiogram (ECG)-gated non-contrast cardiac computed tomography (gated CCT) images. Methods and results: Retrospectively, 560 gated CCT images (including 60 synthetic images) performed at our institution were used to train AI-model, which can automatically divide heart region into five areas belonging to left main (LM), left anterior descending (LAD), circumflex (LCX), right coronary artery (RCA), and another. Total and vessel-specific CAC score (CACS) in each scan were manually evaluated. AI-model was trained with novel Heart-labelling method via DL according to the manual-derived results. Then, another 409 gated CCT images obtained in our institution were used for model validation. The performance of present AI-model was tested using another external cohort of 400 gated CCT images of Stanford Center for Artificial Intelligence of Medical Imaging by comparing with the ground truth. The overall accuracy of the AI-model for total CACS classification was excellent with Cohen's kappa of k = 0.89 and 0.95 (validation and test, respectively), which surpasses previous research of k = 0.89. Bland-Altman analysis showed little difference in individual total and vessel-specific CACS between AI-derived CACS and ground truth in test cohort (mean difference [95% confidence interval] were 1.5 [−42.6, 45.6], −1.5 [−100.5, 97.5], 6.6 [−60.2, 73.5], 0.96 [−59.2, 61.1], and 7.6 [−134.1, 149.2] for LM, LAD, LCX, RCA, and total CACS, respectively). Conclusion: Present Heart-labelling method provides a further improvement in fully automated, total, and vessel-specific CAC quantification on gated CCT. Graphical abstract [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

16. 1H-MRS to evaluate improved triglyceride accumulation in idiopathic triglyceride deposit cardiomyovasculopathy after CNT-01 (tricaprin/trisedecanion) administration

Author

Aikawa, Tatsuro, primary, Sai, Eiryu, additional, Kudo, Ayako, additional, Kawaguchi, Yuko O, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Yokoyama, Takayuki, additional, Miyazaki, Tetsuro, additional, Fujimoto, Shinichiro, additional, Shimada, Kazunori, additional, Hirano, Ken-ichi, additional, Daida, Hiroyuki, additional, and Minamino, Tohru, additional

Published
2023
Full Text
View/download PDF

17. Feasibility of CT Angiography–derived Kinetic Energy of Coronary Flow to Improve the Detection of Hemodynamically Significant Coronary Stenosis

Author

Tomizawa, Nobuo, primary, Nozaki, Yui, additional, Fujimoto, Shinichiro, additional, Fan, Ruiheng, additional, Takahashi, Daigo, additional, Kudo, Ayako, additional, Kamo, Yuki, additional, Aoshima, Chihiro, additional, Kawaguchi, Yuko, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Dohi, Tomotaka, additional, Okazaki, Shinya, additional, Kumamaru, Kanako K., additional, Minamino, Tohru, additional, and Aoki, Shigeki, additional

Published
2022
Full Text
View/download PDF

18. Additional file 1 of Relationship between coronary high-intensity plaques on T1-weighted imaging by cardiovascular magnetic resonance and vulnerable plaque features by near-infrared spectroscopy and intravascular ultrasound: a prospective cohort study

Author

Fukase, Tatsuya, Dohi, Tomotaka, Fujimoto, Shinichiro, Nishio, Ryota, Nozaki, Yui O., Kudo, Ayako, Takeuchi, Mitsuhiro, Takahashi, Norihito, Chikata, Yuichi, Endo, Hirohisa, Kawaguchi, Yuko O., Doi, Shinichiro, Nishiyama, Hiroki, Hiki, Makoto, Okai, Iwao, Iwata, Hiroshi, Yokoyama, Takayuki, Okazaki, Shinya, Miyauchi, Katsumi, Daida, Hiroyuki, Li, Debiao, Xie, Yibin, and Minamino, Tohru

Abstract

Additional file 1: Table S1. Univariable and multivariable logistic regression analysis for prediction of large LRP (maxLCBI4mm ≥ 400).

Published
2023
Full Text
View/download PDF

19. Dual Energy CT Imaging of Atherosclerotic Plaque using Novel Ultrasmall Superparamagnetic Iron Oxide in Hyperlipidemic Rabbits

Author

Sato, Hideyuki, primary, Fujimoto, Shinichiro, additional, Kawaguchi, Yuko O., additional, Nozaki, Yui O., additional, Tomizawa, Nobuo, additional, Kudo, Ayako, additional, Takahashi, Daigo, additional, Kumamaru, Kanako, additional, Kogure, Yosuke, additional, Aoki, Shigeki, additional, and Minamino, Tohru, additional

Published
2022
Full Text
View/download PDF

20. Myocardial Triglyceride Content and Late Gadolinium Enhancement in Hypertrophic Cardiomyopathy with Asymmetric Septal Hypertrophy

Author

Sai, Eiryu, primary, Hiki, Makoto, additional, Yokoyama, Takayuki, additional, Sato, Shuji, additional, Aikawa, Tatsuro, additional, Kudo, Ayako, additional, Kawaguchi, Yuko, additional, Miyazaki, Tetsuro, additional, Fujmoto, Shinichiro, additional, Shimada, Kazunori, additional, Aoki, Shigeki, additional, Daida, Hiroyuki, additional, and Minamino, Tohru, additional

Published
2022
Full Text
View/download PDF

22. Prognostic value of the optimal measurement location of on-site CT-derived fractional flow reserve

Author

Nozaki, Yui O., primary, Fujimoto, Shinichiro, additional, Kawaguchi, Yuko O., additional, Aoshima, Chihiro, additional, Kamo, Yuki, additional, Sato, Hideyuki, additional, Kudo, Hikaru, additional, Takamura, Kazuhisa, additional, Kudo, Ayako, additional, Takahashi, Daigo, additional, Hiki, Makoto, additional, Dohi, Tomotaka, additional, Tomizawa, Nobuo, additional, Kumamaru, Kanako K., additional, Aoki, Shigeki, additional, and Minamino, Tohru, additional

Published
2022
Full Text
View/download PDF

23. Identification of Risk Factors for Coronary Artery Disease in Asymptomatic Patients with Type 2 Diabetes Mellitus

Author

Takamura, Kazuhisa, primary, Fujimoto, Shinichiro, additional, Mita, Tomoya, additional, Kawaguchi, Yuko Okano, additional, Kurita, Mika, additional, Kadowaki, Satoshi, additional, Kamo, Yuki, additional, Aoshima, Chihiro, additional, Nozaki, Yui Okada, additional, Takahashi, Daigo, additional, Kudo, Ayako, additional, Hiki, Makoto, additional, Tomizawa, Nobuo, additional, Ikeda, Fuki, additional, Satoh, Hiroaki, additional, Watada, Hirotaka, additional, and Minamino, Tohru, additional

Published
2022
Full Text
View/download PDF

24. A phantom and in vivo simulation of coronary flow to calculate fractional flow reserve using a mesh-free model

Author

Tomizawa, Nobuo, primary, Nozaki, Yui, additional, Fujimoto, Shinichiro, additional, Takahashi, Daigo, additional, Kudo, Ayako, additional, Kamo, Yuki, additional, Aoshima, Chihiro, additional, Kawaguchi, Yuko, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Dohi, Tomotaka, additional, Okazaki, Shinya, additional, Minamino, Tohru, additional, and Aoki, Shigeki, additional

Published
2021
Full Text
View/download PDF

25. Incremental Diagnostic Value of CT Fractional Flow Reserve Using Subtraction Method in Patients with Severe Calcification: A Pilot Study

Author

Kamo, Yuki, primary, Fujimoto, Shinichiro, additional, Nozaki, Yui O., additional, Aoshima, Chihiro, additional, Kawaguchi, Yuko O., additional, Dohi, Tomotaka, additional, Kudo, Ayako, additional, Takahashi, Daigo, additional, Takamura, Kazuhisa, additional, Hiki, Makoto, additional, Okai, Iwao, additional, Okazaki, Shinya, additional, Tomizawa, Nobuo, additional, Kumamaru, Kanako K., additional, Aoki, Shigeki, additional, and Minamino, Tohru, additional

Published
2021
Full Text
View/download PDF

26. Comparison of diagnostic performance in on-site based CT-derived fractional flow reserve measurements

Author

Nozaki, Yui O., primary, Fujimoto, Shinichiro, additional, Aoshima, Chihiro, additional, Kamo, Yuki, additional, Kawaguchi, Yuko O., additional, Takamura, Kazuhisa, additional, Kudo, Ayako, additional, Takahashi, Daigo, additional, Hiki, Makoto, additional, Kato, Yoshiteru, additional, Okai, Iwao, additional, Dohi, Tomotaka, additional, Okazaki, Shinya, additional, Tomizawa, Nobuo, additional, Kumamaru, Kanako K., additional, Aoki, Shigeki, additional, and Minamino, Tohru, additional

Published
2021
Full Text
View/download PDF

27. Clinical significance of 123I-BMIPP washout rate in patients with uncertain chronic heart failure.

Author

Aoshima, Chihiro, Fujimoto, Shinichiro, Kudo, Ayako, Kawaguchi, Yuko O., Takamura, Kazuhisa, Matsue, Yuya, Kato, Takao, Kawamura, Yoshifumi, Kimura, Satoshi, Kamo, Yuki, Nozaki, Yui O., Takahashi, Daigo, Tomizawa, Nobuo, Hiki, Makoto, Kasai, Takatoshi, Nojiri, Shuko, Miyauchi, Hideyuki, Hirano, Ken-ichi, Shimada, Kazunori, and Murakami, Koji

Subjects
PROPORTIONAL hazards models, SINGLE-photon emission computed tomography, HEART failure, HEART failure patients
Abstract

Background: Recently, triglyceride deposit cardiomyovasculopathy (TGCV) with defective intracellular lipolysis was found to be a disease that causes heart failure. As a diagnostic criterion for TGCV, an Iodaine-123-β-methyl iodophenyl-pentadecanoic acid washout rate (BMIPP WOR) of < 10% is used, but its clinical significance in patients with heart failure remains to be clarified. Methods: In 62 hospitalized patients with chronic heart failure, 123I-BMIPP myocardial single-photon emission computed tomography (SPECT) was performed predischarge state. The prevalence of TGCV was investigated. Subsequently, follow-up was conducted for ≥ 90 days (mean: 724.6 ± 392.7 days), and the association between the BMIPP WOR and cardiac events was examined, establishing all-cause mortality and admission due to heart failure as endpoints. Results: Of the 62 patients, the WOR was < 10% in 41 (66.1%). Of these, 26 (41.9%) were diagnosed with definite TGCV. Furthermore, cardiac events were noted in 12 patients (19.4%). Analysis with Cox proportional hazards models showed that the BMIPP WOR < 4.5% was a significant event-predicting factor [HR 4.29, 95% CI: 1.20–16.87; p = 0.0245]. On a Kaplan–Meier curve, the WOR was 4.5%; there was a significant difference in the incidence of events (p = 0.0298). Conclusion: In the predischarge state of heart failure, 123I-BMIPP myocardial SPECT was performed. In approximately 40% of the patients, a diagnosis of TGCV was made. The results suggested that the BMIPP WOR is useful for predicting the prognosis of chronic heart failure patients regardless of TGCV. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

37. Comparison of diagnostic performance in on-site based CT-derived fractional flow reserve measurements.

Author

Nozaki YO, Fujimoto S, Aoshima C, Kamo Y, Kawaguchi YO, Takamura K, Kudo A, Takahashi D, Hiki M, Kato Y, Okai I, Dohi T, Okazaki S, Tomizawa N, Kumamaru KK, Aoki S, and Minamino T

Abstract

Background: Computed tomography fractional flow reserve (CT-FFR), which can be acquired on-site workstation using fluid structure interaction during the multiple optimal diastolic phase, has an incremental diagnostic value over conventional coronary computed tomography angiography (CCTA). However, the appropriate location for CT-FFR measurement remains to be clarified., Method: A total of 115 consecutive patients with 149 vessels who underwent CCTA showing 30-90% stenosis with invasive FFR within 90 days were retrospectively analyzed. CT-FFR values were measured at three points: 1 and 2 cm distal to the target lesion (CT-FFR 1cm, 2cm ) and the vessel terminus (CT-FFR lowest ). The diagnostic accuracies of CT-FFR ≤ 0.80 for detecting hemodynamically significant stenosis, defined as invasive FFR ≤ 0.80, were compered., Result: Fifty-five vessels (36.9%) had invasive FFR ≤ 0.80. The accuracy and AUC for CT-FFR 1cm and 2cm were comparable, while the AUC for CT-FFR lowest was significantly lower than CT-FFR 1cm and 2cm . (lowest/1cm, 2 cm = 0.68 (95 %CI 0.63-0.73) vs 0.79 (0.72-0.86, p = 0.006), 0.80 (0.73-0.87, p = 0.002)) The sensitivity and negative predictive value of CT-FFR lowest were 100%. The reclassification rates from positive CT-FFR lowest to negative CT-FFR 1cm and 2cm were 55.7% and 54.2%, respectively., Conclusion: The diagnostic performance of CT-FFR was comparable when measured at 1-to-2 cm distal to the target lesion, but significantly higher than CT-FFR lowest . The lesion-specific CT-FFR could reclassify false positive cases in patients with positive CT-FFR lowest , while all patients with negative CT-FFR lowest were diagnosed as negative by invasive FFR., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr. Fujimoto has a research agreement with Canon Medical Systems Corporation that is related to this study. This research was supported by Canon Medical Systems Corporation. All other authors report no conflicts to the work., (© 2021 The Authors.)

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results