Epidermal electronics for noninvasive, wireless, quantitative assessment of ventricular shunt function in patients with hydrocephalus.
Siddharth R KrishnanTyler R RayAmit B AyerYinji MaPhilipp GutrufKunHyuck LeeJong Yoon LeeChen WeiXue FengBarry NgZachary A AbecassisNikhil Krishna MurthyIzabela StankiewiczJuliet FreudmanJulia StillmanNatalie KimGrace YoungCamille GoudeseuneJohn CiraldoMatthew C TateYonggang HuangMatthew B PottsJohn A RogersPublished in: Science translational medicine (2019)
Hydrocephalus is a common and costly neurological condition caused by the overproduction and/or impaired resorption of cerebrospinal fluid (CSF). The current standard of care, ventricular catheters (shunts), is prone to failure, which can result in nonspecific symptoms such as headaches, dizziness, and nausea. Current diagnostic tools for shunt failure such as computed tomography (CT), magnetic resonance imaging (MRI), radionuclide shunt patency studies (RSPSs), and ice pack-mediated thermodilution have disadvantages including high cost, poor accuracy, inconvenience, and safety concerns. Here, we developed and tested a noninvasive, skin-mounted, wearable measurement platform that incorporates arrays of thermal sensors and actuators for precise, continuous, or intermittent measurements of flow through subdermal shunts, without the drawbacks of other methods. Systematic theoretical and experimental benchtop studies demonstrate high performance across a range of practical operating conditions. Advanced electronics designs serve as the basis of a wireless embodiment for continuous monitoring based on rechargeable batteries and data transmission using Bluetooth protocols. Clinical studies involving five patients validate the sensor's ability to detect the presence of CSF flow (P = 0.012) and further distinguish between baseline flow, diminished flow, and distal shunt failure. Last, we demonstrate processing algorithms to translate measured data into quantitative flow rate. The sensor designs, fabrication schemes, wireless architectures, and patient trials reported here represent an advance in hydrocephalus diagnostics with ability to visualize flow in a simple, user-friendly mode, accessible to the physician and patient alike.
Keyphrases
- cerebrospinal fluid
- magnetic resonance imaging
- computed tomography
- low cost
- contrast enhanced
- pulmonary artery
- subarachnoid hemorrhage
- heart failure
- machine learning
- emergency department
- left ventricular
- case report
- positron emission tomography
- big data
- dual energy
- deep learning
- newly diagnosed
- pulmonary hypertension
- high throughput
- physical activity
- heart rate
- blood pressure
- brain injury
- single cell
- bone loss
- data analysis
- artificial intelligence
- tissue engineering