For this study, researchers assembled a total of 400 participants. The participants included 100 individuals without sleep apnea, as well as 100 each with mild, moderate, and severe sleep apnea.
Researchers took 3D digital photographs of all the subjects, then used computer algorithms to analyze both the 3D topography of the face, as well as the simple linear distance between certain points on the face.
They found that using either method could sort individuals into the categories of those with and without sleep apnea, with an accuracy that ranged from 86 to 89%. Combining the two analysis methods led to a sorting accuracy of 91%.
Researchers noted that previous studies have found a genetic predisposition to sleep apnea, and that facial shape is an important component of that predisposition.
This study shows the potential for a huge improvement in screening methods for sleep apnea. Digital photography represents an incredibly easy way to screen for sleep apnea. Just take a picture and run it through the algorithm for a highly accurate assessment of sleep apnea risk. It’s likely that this screening method could be developed into a smartphone app and deployed widely that way.
However, one of the biggest problems today is not the lack of screening tools, but the tendency not to use them. If we are going to really get a handle on the widespread problem of undiagnosed sleep apnea, people and their doctors need to be more aware of the seriousness of the health issues involved.
If you are experiencing one or more of the symptoms of sleep apnea in the Detroit area, it’s important to get tested. A quick screen could tell us whether you are at risk and should have a more comprehensive sleep study, which can usually be done in the comfort of your own home.
To learn how you can get tested for sleep apnea, please call today for an appointment with sleep dentist Dr. Jeffrey S. Haddad at the Michigan Center for TMJ & Sleep Wellness in Troy, MI.