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Pain Research and Treatment
Volume 2015 (2015), Article ID 470240, 6 pages
http://dx.doi.org/10.1155/2015/470240
Research Article

Using Computed Tomography Scans and Patient Demographic Data to Estimate Thoracic Epidural Space Depth

1University of Texas San Antonio Health Science Center, San Antonio, TX 78249, USA
2Department of Anesthesiology and Perioperative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
3Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
4Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY 40292, USA
5Department of Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

Received 17 February 2015; Accepted 6 April 2015

Academic Editor: Giustino Varrassi

Copyright © 2015 Alyssa Kosturakis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Alyssa Kosturakis, Jose Soliz, Jackson Su, et al., “Using Computed Tomography Scans and Patient Demographic Data to Estimate Thoracic Epidural Space Depth,” Pain Research and Treatment, vol. 2015, Article ID 470240, 6 pages, 2015. doi:10.1155/2015/470240