Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Friday, August 19, 2022

Smartphone video motion analysis accurately detects carotid artery stenosis

 

Well shit, at age 50, when I stroked, I was told the plaque in my right carotid artery had torn, then fixed itself by clotting, and finally threw that clot into my brain. My 'doctors' never found that my right carotid artery was 80% blocked, then 3 years later had completely closed up.  So if my 'doctors can't even find stenosis after telling me it had torn there is no way they would be smart enough to use and apply this.

Smartphone video motion analysis accurately detects carotid artery stenosis

Motion analysis of video recorded on a smartphone accurately identified carotid artery stenosis in adults, demonstrating utility for a tool that could improve ischemic stroke outcomes.

Carotid artery stenosis results in altered pulsation characteristics on the skin surface and small but distinct differences in the patterns between healthy and diseased vessels may in theory be detectable, Hsien-Li Kao, MD, an interventional cardiologist at National Taiwan University Hospital in Taipei, Taiwan, and colleagues wrote in the Journal of the American Heart Association. Digital video processing techniques with motion magnification can be used to detect subtle movements, and video-based motion analysis could potentially be used in telehealth to quickly screed for carotid artery stenosis in daily clinical practice.

aerial view of blood flow in a clogged artery, Shutterstock
Source: Adobe Stock

“Between 2% and 5% of strokes each year occur in people with no symptoms, so better and earlier detection of stroke risk is needed,” Kao said in a press release.

In a prospective study, Kao and colleagues analyzed data from 202 adults with prior carotid Doppler ultrasound data at National Taiwan University Hospital (mean age, 68 years; 79% men). Researchers recorded a 30-second video clip of participants’ necks using a commercial mobile device and analyzed with video-based motion analysis using mathematical quantification of the amplitude of skin motion changes.

“Each patient was asked to lie in the supine position with his/her head placed inside a custom-made box positioned to avoid movements during video recording,” the researchers wrote. “An Apple iPhone 6 64GB was mounted through a rectangular cutout on the top side of the box and used to record the video. Two fiber-optic lights were installed inside the box on either side of the iPhone, oriented at an 45° angle in opposite directions to create a uniform light source.”

Data from the first 40 participants were used for the video motion analysis protocol and define cutoff values; data from the remaining participants were used for validation.

Within the cohort, 54% of participants had ultrasound-confirmed carotid artery stenosis.

Using receiver operating characteristic (ROC) curve analysis, the area under the curve of VMA-derived discrepancy values to differentiate patients with and without carotid artery stenosis was 0.914 (95% CI, 0.874–0.954; P < .01). The best cutoff value of video motion analysis-derived discrepancy values to screen for carotid artery stenosis was 5.1, with a sensitivity of 87% (95% CI, 79-93), a specificity of 87% (95% CI, 79-93), a positive predictive value of 89% (95% CI, 82-93) and negative predictive value of 85% (95% CI, 78-90) in detecting carotid artery stenosis.

The diagnostic accuracy was consistently high in different participant subgroups, including patients with bilateral disease, where the sensitivity remained as high as 89%, according to researchers.

The researchers noted that participants were all at high CV risk; more data are needed from adults at low CV risk.

“More research is needed to determine whether video recorded on smartphones is a promising approach to help expedite and increase stroke screening,” Kao said in the release. “Carotid artery stenosis is silent until a stroke happens. With this method, clinicians may be able to record a video of the patient’s neck with a smartphone, upload the videos for analysis and receive a report within 5 minutes. The early detection of carotid artery stenosis may improve patient outcomes.”

The U.S. Preventive Services Task Force in 2021 reaffirmed its 2014 recommendation for carotid artery stenosis screening in asymptomatic adults, saying the risks currently outweigh the benefits. It is listed as a D recommendation.

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