Epidermal electronics for noninvasive, wireless, quantitative assessment of ventricular shunt function in patients with hydrocephalus

脑积水 医学 分流(医疗) 蓝牙 磁共振成像 计算机科学 生物医学工程 放射科 无线 外科 电信
作者
Siddharth Krishnan,Tyler R. Ray,Amit Ayer,Yinji Ma,Philipp Gutruf,KunHyuck Lee,Jong Yoon Lee,Chen Wei,Xue Feng,Barry Ng,Zachary A. Abecassis,Nikhil K. Murthy,Izabela Stankiewicz,Juliet Freudman,Julia Stillman,Natalie Kim,Grace Young,Camille Goudeseune,John Ciraldo,Matthew C. Tate
出处
期刊:Science Translational Medicine [American Association for the Advancement of Science]
卷期号:10 (465) 被引量:84
标识
DOI:10.1126/scitranslmed.aat8437
摘要

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.
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