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Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations

Artikel i vetenskaplig tidskrift
Författare Stefan Candefjord
Johan Winges
A.A. Malik
Yinan Yu
Thomas Rylander
Tomas McKelvey
Andreas Fhager
Mikael Elam
Mikael Persson
Publicerad i Medical and Biological Engineering and Computing
Sidor 1-12
ISSN 0140-0118
Publiceringsår 2016
Publicerad vid
Sidor 1-12
Språk en
Ämnesord Finite element method , Intracranial bleedings , Microwave technology , Subdural hematoma phantom , Traumatic brain injury
Ämneskategorier Elektroteknik och elektronik, Signalbehandling, Medicinsk bioteknologi

Sammanfattning

Traumatic brain injury is the leading cause of death and severe disability for young people and a major public health problem for elderly. Many patients with intracranial bleeding are treated too late, because they initially show no symptoms of severe injury and are not transported to a trauma center. There is a need for a method to detect intracranial bleedings in the prehospital setting. In this study, we investigate whether broadband microwave technology (MWT) in conjunction with a diagnostic algorithm can detect subdural hematoma (SDH). A human cranium phantom and numerical simulations of SDH are used. Four phantoms with SDH 0, 40, 70 and 110 mL are measured with a MWT instrument. The simulated dataset consists of 1500 observations. Classification accuracy is assessed using fivefold cross-validation, and a validation dataset never used for training. The total accuracy is 100 and 82–96 % for phantom measurements and simulated data, respectively. Sensitivity and specificity for bleeding detection were 100 and 96 %, respectively, for the simulated data. SDH of different sizes is differentiated. The classifier requires training dataset size in order of 150 observations per class to achieve high accuracy. We conclude that the results indicate that MWT can detect and estimate the size of SDH. This is promising for developing MWT to be used for prehospital diagnosis of intracranial bleedings.

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