Low-cost Technology to assess the Risk of Obstructed Labor in Ethiopia

Organization: 
Because of Kennedy
Organization Location: 
United States

Obstructed labor due to cephalopelvic disproportion (CPD), defined as the size mismatch between maternal pelvis and fetal head, is one of the lead causes for maternal mortality in rural Ethiopia and almost as prevalent today as 30 years ago. Despite being one of the most common preventable causes of unfavorable pregnancy outcome, CPD is hard to diagnose in low-resource settings where advanced medical care and sophisticated equipment is lacking. A reliable, low-cost screening tool to identify high-risk patients is of paramount importance especially in resource-limited areas where a timely referral to a medical facility for assisted delivery or cesarean section would make the difference between saving the life of mother and child and potential loss of both patients. To address this pressing need we propose to develop and test a simple, ultra-low cost portable technology using off-the-shelf Microsoft Kinect sensor to quantify an obstructive score to identify women at high risk for CPD. The technology will create very high precision 3D patient models from which a plethora of traditional and novel anthropometric and volume measures can be extracted and used in conjunction with machine learning algorithms to establish a clinical score identifying high risk for CPD. This novel technology has the potential to establish a better risk assessment for obstruction than currently available clinical practice in low-resource setting, thus providing a low cost avenue to save lives at birth.

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