Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations.
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 cente...
| Published in: | Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1177 - 1189 |
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| Main Authors: | , , , , , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Aug2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485696&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485696 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2017 vid: 55 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485696 124485696 143910387 NLM27738858 124485696 10.1007/s11517-016-1578-6 NLM27738858 124485696 ppf: 1177 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations. aug: au: Candefjord, Stefan Winges, Johan Malik, Ahzaz Yu, Yinan Rylander, Thomas McKelvey, Tomas Fhager, Andreas Elam, Mikael Persson, Mikael Malik, Ahzaz Ahmad affil: Department of Signals and Systems , Chalmers University of Technology , 412 96 Gothenburg Sweden sug: subj: Neuroradiography Methods Image Interpretation, Computer Assisted Methods Models, Biological Hematoma, Subdural Physiopathology Hematoma, Subdural Diagnosis Microwaves Computer Simulation Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity Human ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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