Unique ID issued by UMIN | UMIN000049237 |
---|---|
Receipt number | R000056077 |
Scientific Title | Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome |
Date of disclosure of the study information | 2023/01/01 |
Last modified on | 2022/10/17 12:50:03 |
Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome
Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome
Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome
Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome
Japan |
acute coronary syndrome
Cardiology |
Others
NO
To create a prognosis prediction model directly from post-percutaneous coronary syndrome (PCI) optical coherence tomography (OCT) images of patients with acute coronary syndrome using a deep learning model.
Efficacy
Target vessel failure
Observational
20 | years-old | <= |
100 | years-old | > |
Male and Female
(1) Patients enrolled in a previous study, "A retrospective multicenter registry of the morphological characteristics of responsible plaques in patients with acute coronary syndromes from the perspective of age and gender" (UMIN000038442).
(ii) Patients who received OCT examination after PCI to ACS
(1) Patients who have asked not to participate in this study based on publicly available information.
(2) Patients who had ACS due to in-stent restenosis or occlusion
(3) Patients with graft vessels
(4) Patients with lesions in the left main trunk or the ostium of the right coronary artery
(5) Patients who did not undergo stenting at PCI
(6) Patients with Thrombolysis in myocardial infarction trial (TIMI) flow grade 2 or less at the final coronary angiogram
360
1st name | Hiromasa |
Middle name | |
Last name | Otake |
Kobe University Hospital
Division of Cardiovascular Medicine
6500017
7-5-2 Kusunoki-cho, Chuo-ku, Kobe
0783825846
hotake@med.kobe-u.ac.jp
1st name | Tomoyo |
Middle name | |
Last name | Hamana |
Kobe University Hospital
Division of Cardiovascular Medicine
6500017
7-5-2 Kusunoki-cho, Chuo-ku, Kobe
0783825846
tomohamachi@yahoo.co.jp
Kobe University, department of cardiology
Kobe University
Self funding
Kobe university hospital clinical and translational research center
7-5-2 Kusunoki-cho, Chuo-ku, Kobe
0783825846
kansatsu@med.kobe-u.ac.jp
NO
2023 | Year | 01 | Month | 01 | Day |
Unpublished
Preinitiation
2022 | Year | 12 | Month | 31 | Day |
2023 | Year | 01 | Month | 01 | Day |
2025 | Year | 03 | Month | 31 | Day |
None
2022 | Year | 10 | Month | 17 | Day |
2022 | Year | 10 | Month | 17 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000056077