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Noninvasive transcranial classification of stroke using a portable eddy current damping sensor.
Shahrestani, Shane; Zada, Gabriel; Chou, Tzu-Chieh; Toy, Brandon; Yao, Bryan; Garrett, Norman; Sanossian, Nerses; Brunswick, Andrew; Shang, Kuang-Ming; Tai, Yu-Chong.
Afiliação
  • Shahrestani S; Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA. shanesha@usc.edu.
  • Zada G; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. shanesha@usc.edu.
  • Chou TC; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Toy B; Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Yao B; Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Garrett N; Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Sanossian N; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Brunswick A; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Shang KM; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Tai YC; Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Sci Rep ; 11(1): 10297, 2021 05 13.
Article em En | MEDLINE | ID: mdl-33986450
Existing paradigms for stroke diagnosis typically involve computed tomography (CT) imaging to classify ischemic versus hemorrhagic stroke variants, as treatment for these subtypes varies widely. Delays in diagnosis and transport of unstable patients may worsen neurological status. To address these issues, we describe the development of a rapid, portable, and accurate eddy current damping (ECD) stroke sensor. Copper wire was wound to create large (11.4 cm), medium (4.5 cm), and small (1.5 cm) solenoid coils with varying diameters, with each connected to an inductance-to-digital converter. Eight human participants were recruited between December 15, 2019 and March 15, 2020, including two hemorrhagic stroke, two ischemic stroke, one subarachnoid hemorrhage, and three control participants. Observers were blinded to lesion type and location. A head cap with 8 horizontal scanning paths was placed on the patient. The sensor was tangentially rotated across each row on the patient's head circumferentially. Consent, positioning, and scanning with the sensor took roughly 15 min from start to end for each participant and all scanning took place at the patient bedside. The ECD sensor accurately classified and imaged each of the varying stroke types in each patient. The sensor additionally detected ischemic and hemorrhagic lesions located deep inside the brain, and its range is selectively tunable during sensor design and fabrication.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Acidente Vascular Cerebral Limite: Adult / Animals / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Acidente Vascular Cerebral Limite: Adult / Animals / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article