scholarly journals Comparison of Perfusion Computed Tomography and Computed Tomography Angiography Source Images With Perfusion-Weighted Imaging and Diffusion-Weighted Imaging in Patients With Acute Stroke of Less Than 6 Hours’ Duration

Stroke ◽  
2004 ◽  
Vol 35 (7) ◽  
pp. 1652-1658 ◽  
Author(s):  
Peter Schramm ◽  
Peter D. Schellinger ◽  
Ernst Klotz ◽  
Kai Kallenberg ◽  
Jochen B. Fiebach ◽  
...  
2019 ◽  
Vol 12 (8) ◽  
pp. 742-746
Author(s):  
Pietro Panni ◽  
Caterina Michelozzi ◽  
Sébastien Richard ◽  
Gaultier Marnat ◽  
Raphaël Blanc ◽  
...  

BackgroundAlthough accumulating evidence has demonstrated the benefit of mechanical thrombectomy (MT) in patients with low Alberta Stroke Program Early Computed Tomography Score (ASPECTS), it is still unclear how workflow metrics impact the clinical outcomes of this subgroup of patients.MethodsPatients with acute stroke and diffusion-weighted imaging (DWI) ASPECTS ≤5 at baseline, who underwent MT within 6 hours of symptoms onset, were included from a prospectively maintained national multicentric registry between January 1, 2012 to August 31, 2017. The degree of disability was assessed by the modified Rankin Scale (mRS) at 90 days. The primary outcome was functional independence defined as mRS 0 to 2 at 90 days.ResultsThe study included 291 patients with baseline DWI-ASPECTS ≤5. Good outcome was achieved in 82 (28.2%) patients, and 104 (35.7%) patients died within 90 days. Successful reperfusion (modified Thrombolysis In Cerebral Infarction (mTICI) 2b-3) rate was 75.3%, and median onset to recanalization (OTR) time was 2 268min. Among time-related variables, OTR emerged as the strongest predictor of primary outcome (adjusted OR for every 60 min 0.59, 95% CI 0.44 to 0.77; p<0.001). mTICI 2c-3 independently predicted a good outcome (adjusted OR 1.91, 95% CI 1.004 to 3.6; p=0.049) along with age and baseline DWI-ASPECTS. Recanalization status failed to significantly impact outcome in the DWI-ASPECTS 0–3 subpopulation.ConclusionsNear complete reperfusion (mTICI 2c-3) and OTR are the strongest modifiable outcome predictors in patients with DWI-ASPECTS ≤5 treated with MT.


Neuroreport ◽  
2019 ◽  
Vol 30 (13) ◽  
pp. 875-881 ◽  
Author(s):  
Shi-Bo Zhou ◽  
Xiu-Ming Zhang ◽  
Yang Gao ◽  
Bo Yang ◽  
Wen-Rong Shen

10.2196/15893 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15893
Author(s):  
Kenichiro Sakai ◽  
Teppei Komatsu ◽  
Yasuyuki Iguchi ◽  
Hiroyuki Takao ◽  
Toshihiro Ishibashi ◽  
...  

Background High-quality neuroimages can be viewed using a medical app installed on a smartphone. Although interdevice agreement between smartphone and desktop PC monitor was found to be favorable for evaluating computed tomography images, there are no interdevice agreement data for diffusion-weighted imaging (DWI). Objective The aim of our study was to compare DWI interpretation using the Join smartphone app with that using a desktop PC monitor, in terms of interdevice and interrater agreement and elapsed interpretation time. Methods The ischemic change in the DWI of consecutive patients with acute stroke in the middle cerebral artery territory was graded by 2 vascular neurologists using the Join smartphone app and a desktop PC monitor. The vascular neurologists were blinded to all patient information. Each image was categorized as either Diffusion-Weighted Imaging–Alberta Stroke Program Early Computed Tomography Scores (DWI-ASPECTS) ≥7 or DWI-ASPECTS <7 according to the Japanese Society for Neuroendovascular Therapy. We analyzed interdevice agreement and interrater agreement with respect to DWI-ASPECTS. Elapsed interpretation time was compared between DWI-ASPECTS evaluated by the Join smartphone app and a desktop PC monitor. Results We analyzed the images of 111 patients (66% male; median age=69 years; median National Institutes of Health Stroke Scale score on admission=4). Interdevice agreement regarding DWI-ASPECTS between the smartphone and the desktop PC monitor was favorable (vascular neurologist 1: κ=0.777, P<.001, vascular neurologist 2: κ=0.787, P<.001). Interrater agreement was also satisfactory for the smartphone (κ=0.710, P<.001) and the desktop PC monitor (κ=0.663, P<.001). Median elapsed interpretation time was similar between the smartphone and the desktop PC monitor (vascular neurologist 1: 1.7 min vs 1.6 min; P=.64); vascular neurologist 2: 2.4 min vs 2.0 min; P=.14). Conclusions The use of a smartphone app enables vascular neurologists to estimate DWI-ASPECTS accurately and rapidly. The Join medical smartphone app shows great promise in the management of acute stroke.


Sign in / Sign up

Export Citation Format

Share Document