Tethered spinal cord tension assessed via ultrasound elastography in computational and intraoperative human studies
Year: 2024
Type: article
Abstract: BACKGROUND: Tension in the spinal cord is a trademark of tethered cord syndrome. Unfortunately, existing tests cannot quantify tension across the bulk of the cord, making the diagnostic evaluation of stretch ambiguous. A potential non-destructive metric for spinal cord tension is ultrasound-derived shear wave velocity (SWV). The velocity is sensitive to tissue elasticity and boundary conditions including strain. We use the term Ultrasound Tensography to describe the acoustic evaluation of tension with SWV. METHODS: Our solution Tethered cord Assessment with Ultrasound Tensography (TAUT) was utilized in three sub-studies: finite element simulations, a cadaveric benchtop validation, and a neurosurgical case series. The simulation computed SWV for given tensile forces. The cadaveric model with induced tension validated the SWV-tension relationship. Lastly, SWV was measured intraoperatively in patients diagnosed with tethered cords who underwent treatment (spinal column shortening). The surgery alleviates tension by decreasing the vertebral column length. RESULTS: = 0.951) models. The SWV decreases in all neurosurgical procedures (p < 0.001). Moreover, TAUT has a c-statistic of 0.962 (0.92-1.00), detecting all tethered cords. CONCLUSIONS: This study presents a physical, clinical metric of spinal cord tension. Strong agreement among computational, cadaveric, and clinical studies demonstrates the utility of ultrasound-induced SWV for quantitative intraoperative feedback. This technology is positioned to enhance tethered cord diagnosis, treatment, and postoperative monitoring as it differentiates stretched from healthy cords.
Source: Communications Medicine
Authors: Max J. Kerensky, Abhijit Paul, Denis Routkevitch, Andrew M. Hersh, Kelley M. Kempski Leadingham, A. Daniel Davidar, Brendan F. Judy, Joshua Punnoose, Autumn Williams, Avisha Kumar, Kurt Lehner, Beth Smith, Jennifer K. Son, Javad R. Azadi, Himanshu Shekhar, Karla P. Mercado-Shekhar, Nitish V. Thakor, Nicholas Theodore, Amir Manbachi
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,490
Funders: National Science Foundation, U.S. Department of Defense, Johns Hopkins University, Indian Institute of Technology Gandhinagar, National Institutes of Health, Defense Advanced Research Projects Agency, Advanced Research Projects Agency, Science and Engineering Research Board, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences
OpenAlex ID: W4390617269
