| Recruitment status | Preinitiation |
| Unique ID issued by UMIN | UMIN000042113 |
| Receipt No. | R000048058 |
| Scientific Title | Clinical research on hemodynamic predictors for the progression of major intracranial cerebrovascular stenosis using CFD analysis |
| Date of disclosure of the study information | 2020/10/14 |
| Last modified on | 2020/10/14 (Ver. 2) |
| Basic information | ||
| Public title | Clinical research on hemodynamic predictors for the progression of major intracranial cerebrovascular stenosis using CFD analysis | |
| Acronym | CV Stenosis CFD Study | |
| Scientific Title | Clinical research on hemodynamic predictors for the progression of major intracranial cerebrovascular stenosis using CFD analysis | |
| Scientific Title:Acronym | CV Stenosis CFD Study | |
| Region |
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| Condition | ||
| Condition | major intracranial artery stenosis | |
| Classification by specialty |
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| Classification by malignancy | Others | |
| Genomic information | NO | |
| Objectives | |
| Narrative objectives1 | Major intracranial artery stenosis, such as intracranial internal carotid artery, middle cerebral artery M1 portion, anterior cerebral artery A1 portion, intracranial vertebral artery, and basilar artery, is major cause of atherosclerotic cerebral infarction. However, we cannot sufficiently predict the progression of stenosis followed by symptomatic stroke using known risk factors. Our previous NHO collaborative clinical study suggested that hemodynamic factors may be significantly involved in the development of cerebral infarction due to carotid artery stenosis. Therefore, the hemodynamics may also be involved in intracranial artery stenosis. In this study, we would like to elucidate the hemodynamic etiology of major intracranial artery stenosis using computational fluid dynamics (CFD) analysis and search for new predictors of the stenosis progression. |
| Basic objectives2 | Others |
| Basic objectives -Others | Search for hemodynamic risk factors |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | To identify hemodynamic factors that are significantly involved in the progression of major intracranial artery stenosis using computational fluid dynamics (CFD) analysis. |
| Key secondary outcomes | To identify hemodynamic factors that are significantly involved in the development of symptomatic cerebral infarction due to major intracranial artery stenosis using CFD analysis. |
| Base | |
| Study type | Observational |
| Study design | |
| Basic design | |
| Randomization | |
| Randomization unit | |
| Blinding | |
| Control | |
| Stratification | |
| Dynamic allocation | |
| Institution consideration | |
| Blocking | |
| Concealment | |
| Intervention | |
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| Interventions/Control_10 | |
| Eligibility | ||||
| Age-lower limit |
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| Age-upper limit |
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| Gender | Male and Female | |||
| Key inclusion criteria | 1) Cases who have undergone cerebrovascular 3D contrast-enhanced CT examination or 3D cerebral angiography examination for which the original image DICOM data remain
2) Cases with about 30% or more stenosis found in the intracranial main artery (intracranial internal carotid artery, middle cerebral artery M1 portion, anterior cerebral artery A1 portion, intracranial vertebral artery, and basilar artery) by cerebrovascular imaging 3) Cases aged 20 years or older at the time of consent acquisition 4) Cases who have obtained the voluntary written consent of the patient (or his / her substitute) |
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| Key exclusion criteria | 1) Cases with stenosis after irradiation
2) Cases with moyamoya disease 3) Cases with stenosis due to dissection 4) Cases with congenital stenosis 5) Cases after bypass surgery on the diseased side (registration is possible if there is an unoperated stenotic lesion on the contralateral side) 6) Patients after angioplasty of the lesion (registration is possible if there are other unoperated stenotic lesions) 7) When the principal investigator and the research coordinator judge that participation in this research is not appropriate |
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| Target sample size | 650 | |||
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| Name of lead principal investigator |
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| Organization | National Hospital Organization Kyoto Medical Center | ||||||
| Division name | Department of Neurosurgery | ||||||
| Zip code | 612-8555 | ||||||
| Address | 1-1, Mukaihara-cho, Fukakusa, Fushimi-ku, Kyoto City | ||||||
| TEL | 075-641-9161 | ||||||
| fukudashunichi@gmail.com | |||||||
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| Name of contact person |
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| Organization | National Hospital Organization Kyoto Medical Center | ||||||
| Division name | Department of Neurosurgery | ||||||
| Zip code | 612-8555 | ||||||
| Address | 1-1, Mukaihara-cho, Fukakusa, Fushimi-ku, Kyoto City | ||||||
| TEL | 075-641-9161 | ||||||
| Homepage URL | |||||||
| fukudashunichi@gmail.com | |||||||
| Sponsor | |
| Institute | National Hospital Organization |
| Institute | |
| Department | |
| Funding Source | |
| Organization | National Hospital Organization |
| Organization | |
| Division | |
| Category of Funding Organization | Other |
| Nationality of Funding Organization | |
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| IRB Contact (For public release) | |
| Organization | National Hospital Organization |
| Address | 2-5-21, Higashigaoka, Meguro-ku, Tokyo |
| Tel | 03-5712-5050 |
| 700-kenkyu@mail.hosp.go.jp | |
| Secondary IDs | |
| Secondary IDs | NO |
| Study ID_1 | |
| Org. issuing International ID_1 | |
| Study ID_2 | |
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| IND to MHLW | |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
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| Baseline Characteristics | |
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| IPD sharing Plan description | |
| Progress | |||||||
| Recruitment status | Preinitiation | ||||||
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| Other | |
| Other related information | At the time of registration: Patient background, 3D cerebrovascular examination (3D contrast CT, 3D cerebrovascular imaging)
Two years after the registration: Cerebrovascular imaging |
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| Registered date |
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| Link to view the page | |
| URL(English) | https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048058 |