protocolSection identificationModule nctId: NCT06290271, orgStudyIdInfo id: CISTAR, briefTitle: Arterial Wall Shear Stress After Intracranial Artery Recanalization, statusModule overallStatus: RECRUITING, startDateStruct date: 2023-08-01, primaryCompletionDateStruct date: 2024-06, completionDateStruct date: 2024-12, studyFirstPostDateStruct date: 2024-03-04, lastUpdatePostDateStruct date: 2024-03-04, sponsorCollaboratorsModule leadSponsor name: Chonbuk National University Hospital, class: OTHER, collaborators name: Seoul National University Hospital, collaborators name: Chungnam National University Hospital, collaborators name: Asan Medical Center, collaborators name: Chonnam National University Hospital, collaborators name: Korea University Ansan Hospital, collaborators name: SMG-SNU Boramae Medical Center, descriptionModule briefSummary: There has been consistent research on the cerebral blood flow features in ischemic stroke patients with acute occlusion of major intracranial arteries. However, studies analyzing the overall features of the major intracranial artery blood flow in the periods of pre and post-recanalization are still lacking. Time-of-flight magnetic resonance angiography (TOF-MRA) is extensively utilized to evaluate the intracranial arteries. The arterial signal intensity from MRA-TOF varies across subjects and arterial subtypes, leading to the development of the Signal Intensity Gradient (SIG) concept. SIG has demonstrated a strong correlation with Computational Fluid Dynamics (CFD), a known method for reflecting wall shear stress. SIG could be associated with the pathophysiology of wall shear stress. We aim to investigate the blood flow patterns and characteristics in the periods of pre and post-recanalization using SIG., conditionsModule conditions: Intracranial Artery Occlusion, designModule studyType: OBSERVATIONAL, designInfo observationalModel: CASE_CONTROL, timePerspective: OTHER, enrollmentInfo count: 160, type: ESTIMATED, armsInterventionsModule interventions name: Intracranial artery flow pattern, outcomesModule primaryOutcomes measure: Neurological Severity at discharge, eligibilityModule sex: ALL, minimumAge: 18 Years, stdAges: ADULT, stdAges: OLDER_ADULT, contactsLocationsModule locations facility: Korea University Ansan Hospital, status: NOT_YET_RECRUITING, city: Ansan, state: Gyeonggi-do, zip: 15355, country: Korea, Republic of, contacts name: Sang-Heon Lee, Prof., role: CONTACT, email: huny0029@naver.com, geoPoint lat: 37.32361, lon: 126.82194, locations facility: Jeonbuk National University Hospital, status: NOT_YET_RECRUITING, city: Jeonju, state: Jeollabuk Do, zip: 54907, country: Korea, Republic of, contacts name: Hyo Sung Kwak, Prof., role: CONTACT, email: kwakhs8140@gmail.com, geoPoint lat: 35.82194, lon: 127.14889, locations facility: Chungnam National University Hospital, status: RECRUITING, city: Daejeon, zip: 35015, country: Korea, Republic of, contacts name: Hee Jung Song, Prof., role: CONTACT, email: nrsono@naver.com, geoPoint lat: 36.32139, lon: 127.41972, locations facility: Chonnam National University Hospital, status: RECRUITING, city: Gwangju, zip: 61469, country: Korea, Republic of, contacts name: Man-Seok Park, Prof., role: CONTACT, email: mspark@chonnam.ac.kr, geoPoint lat: 35.15472, lon: 126.91556, locations facility: Seoul National University Hospital, status: NOT_YET_RECRUITING, city: Seoul, zip: 03080, country: Korea, Republic of, contacts name: Keun-Hwa Jung, Prof., role: CONTACT, email: jungkh@gmail.com, geoPoint lat: 37.566, lon: 126.9784, locations facility: Asan Medical Center, status: RECRUITING, city: Seoul, zip: 05505, country: Korea, Republic of, contacts name: Beom-Jun Kim, Prof., role: CONTACT, email: medicj80@hanmail.net, geoPoint lat: 37.566, lon: 126.9784, locations facility: SMG-SNU Boramae Medical Center, status: NOT_YET_RECRUITING, city: Seoul, zip: 07061, country: Korea, Republic of, contacts name: Yong-Seok Lee, Prof., role: CONTACT, email: mercades@snu.ac.kr, geoPoint lat: 37.566, lon: 126.9784, locations facility: Ulsan University Hospital, status: RECRUITING, city: Ulsan, zip: 44033, country: Korea, Republic of, contacts name: Chan-Hyuk Lee, Prof., role: CONTACT, email: bluewave0210@gmail.com, geoPoint lat: 35.53722, lon: 129.31667, hasResults: False