Spectral Analysis of Ultrasound Radiofrequency Backscatter for the Detection of Intercostal Blood Vessels.
Autor: | Klingensmith JD; Department of Electrical and Computer Engineering, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA. Electronic address: jokling@siue.edu., Haggard A; Department of Electrical and Computer Engineering, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA., Fedewa RJ; Department of Biomedical Engineering, The Cleveland Clinic Foundation, Cleveland, Ohio, USA., Qiang B; Department of Mathematics and Statistics, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA., Cummings K 3rd; Anesthesiology Institute, The Cleveland Clinic Foundation, Cleveland, Ohio, USA., DeGrande S; Anesthesiology Institute, The Cleveland Clinic Foundation, Cleveland, Ohio, USA., Vince DG; Department of Biomedical Engineering, The Cleveland Clinic Foundation, Cleveland, Ohio, USA., Elsharkawy H; Anesthesiology Institute, The Cleveland Clinic Foundation, Cleveland, Ohio, USA. |
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Jazyk: | angličtina |
Zdroj: | Ultrasound in medicine & biology [Ultrasound Med Biol] 2018 Jul; Vol. 44 (7), pp. 1411-1422. Date of Electronic Publication: 2018 Apr 19. |
DOI: | 10.1016/j.ultrasmedbio.2018.03.007 |
Abstrakt: | Spectral analysis of ultrasound radiofrequency backscatter has the potential to identify intercostal blood vessels during ultrasound-guided placement of paravertebral nerve blocks and intercostal nerve blocks. Autoregressive models were used for spectral estimation, and bandwidth, autoregressive order and region-of-interest size were evaluated. Eight spectral parameters were calculated and used to create random forests. An autoregressive order of 10, bandwidth of 6 dB and region-of-interest size of 1.0 mm resulted in the minimum out-of-bag error. An additional random forest, using these chosen values, was created from 70% of the data and evaluated independently from the remaining 30% of data. The random forest achieved a predictive accuracy of 92% and Youden's index of 0.85. These results suggest that spectral analysis of ultrasound radiofrequency backscatter has the potential to identify intercostal blood vessels. (jokling@siue.edu) © 2018 World Federation for Ultrasound in Medicine and Biology. (Copyright © 2018 World Federation for Ultrasound in Medicine and Biology. Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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