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Volumetric Electromagnetic Phase-Shift Spectroscopy of Brain Edema and Hematoma

Overview of attention for article published in PLOS ONE, May 2013
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Title
Volumetric Electromagnetic Phase-Shift Spectroscopy of Brain Edema and Hematoma
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063223
Pubmed ID
Authors

Cesar A. Gonzalez, Jose A. Valencia, Alfredo Mora, Fernando Gonzalez, Beatriz Velasco, Martin A. Porras, Javier Salgado, Salvador M. Polo, Nidiyare Hevia-Montiel, Sergio Cordero, Boris Rubinsky

Abstract

Motivated by the need of poor and rural Mexico, where the population has limited access to advanced medical technology and services, we have developed a new paradigm for medical diagnostic based on the technology of "Volumetric Electromagnetic Phase Shift Spectroscopy" (VEPS), as an inexpensive partial substitute to medical imaging. VEPS, can detect changes in tissue properties inside the body through non-contact, multi-frequency electromagnetic measurements from the exterior of the body, and thereby provide rapid and inexpensive diagnostics in a way that is amenable for use in economically disadvantaged parts of the world. We describe the technology and report results from a limited pilot study with 46 healthy volunteers and eight patients with CT radiology confirmed brain edema and brain hematoma. Data analysis with a non-parametric statistical Mann-Whitney U test, shows that in the frequency range of from 26 MHz to 39 MHz, VEPS can distinguish non-invasively and without contact, with a statistical significance of p<0.05, between healthy subjects and those with a medical conditions in the brain. In the frequency range of between 153 MHz to 166 MHz it can distinguish with a statistical significance of p<0.05 between subjects with brain edema and those with a hematoma in the brain. A classifier build from measurements in these two frequency ranges can provide instantaneous diagnostic of the medical condition of the brain of a patient, from a single set of measurements. While this is a small-scale pilot study, it illustrates the potential of VEPS to change the paradigm of medical diagnostic of brain injury through a VEPS classifier-based technology. Obviously substantially larger-scale studies are needed to verify and expand on the findings in this small pilot study.

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Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Researcher 4 12%
Student > Bachelor 4 12%
Professor 3 9%
Other 7 21%
Unknown 4 12%
Readers by discipline Count As %
Engineering 14 41%
Medicine and Dentistry 6 18%
Agricultural and Biological Sciences 3 9%
Environmental Science 1 3%
Computer Science 1 3%
Other 3 9%
Unknown 6 18%