Unique ID issued by UMIN | UMIN000033819 |
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Receipt number | R000038575 |
Scientific Title | Clinical application of artificial neural network for myocardial perfusion imaging analysis |
Date of disclosure of the study information | 2018/08/22 |
Last modified on | 2018/08/20 14:38:27 |
Clinical application of artificial neural network for myocardial perfusion imaging analysis
Analysis of myocardial perfusion imaging with artificial neural network
Clinical application of artificial neural network for myocardial perfusion imaging analysis
Analysis of myocardial perfusion imaging with artificial neural network
Japan |
Ischemic heart disease
Cardiology | Radiology |
Others
NO
To study diagnostic ability of the software incorporating artificial intelligence for myocardial perfusion imaging analysis
Efficacy
Diagnostic accuracy of coronary artery disease or ischemia
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Patients who underwent ECG gated myocardial perfusion SPECT and suspicious of ischemic heart diseases
Cases that cannot be analyzed reliably due to extra-cardiac activity
Arrhythmia inappropriate for gating
1000
1st name | |
Middle name | |
Last name | Nakajima, Kenichi |
Kanazawa University
Nuclear Medicine
13-1 Takara-machi, Kanazawa
076-265-2333
nakajima@med.kanazawa-u.ac.jp
1st name | |
Middle name | |
Last name | Nakajima, Kenichi |
Kanazawa University
Nuclear Medicine
13-1 Takara-machi, Kanazawa
076-265-2333
nakajima@med.kanazawa-u.ac.jp
Kanazawa University: investigator-initiated clinical research
Kanazawa University: investigator-initiated clinical research
Other
Kanazawa University, Nuclear Medicine: participating hospitals are recruited.
NO
2018 | Year | 08 | Month | 22 | Day |
Unpublished
Enrolling by invitation
2018 | Year | 04 | Month | 01 | Day |
2018 | Year | 07 | Month | 01 | Day |
Data are accumulating.
2018 | Year | 08 | Month | 20 | Day |
2018 | Year | 08 | Month | 20 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000038575
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