Image Quality and Dose Comparison of 3 Mobile Intraoperative Three-Dimensional Imaging Systems in Spine Surgery.
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2022-04
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Abstract
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To evaluate radiation exposure and image quality (IQ) for 3 intraoperative imaging systems (Airo TruCT, Cios Spin, O-arm) using varying radiation dose settings in a single cadaveric model.Methods
Axial images of L4-5 instrumentation were obtained using 3 manufacturer dose protocols for each system. Measurements included scattered radiation dose, subjective and objective IQ, and estimates of patient effective dose (ED). Four images per system were selected at each dose level. Using the Likert scale (1 = best, 5 = worst), 9 reviewers rated the same 36 images. Objective IQ measures included the degree of streak artifacts (lines with incorrect data from metal objects) in each image. A composite figure of merit was derived based on ED and subjective and objective scores.Results
The best subjective IQ scores were 1.44 (Cios Spin medium dose), 1.78 (Cios Spin high dose) and 2.22 (Airo TruCT low dose). The best objective IQ scores were 87.3 (Airo TruCT) and 89.1 (Cios Spin). ED low-dose results in mSv included 1.6 (Airo TruCT), 1.9 (Cios Spin), and 3.3 (O-arm). ED high-dose results in mSv included 4.6 (Cios Spin), 9.7 (Airo TruCT), and 9.9 (O-arm). Scatter radiation measurements for low dose in μGy included 21.9 (Cios Spin), 31.8 (Airo TruCT), and 33.9 (O-arm). Scatter radiation for high dose in μGy included 55.9 (Cios Spin), 104.5 (O-arm), and 200 (Airo TruCT). The best figure of merit score was for the Airo TruCT low dose, followed by Cios Spin medium dose and high dose.Conclusions
Selection of intraoperative imaging systems requires a greater understanding of the risks and benefits of radiation exposure and IQ.Type
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Foster, Norah, Christopher Shaffrey, Avery Buchholz, Raymond Turner, Lexie Zidanyue Yang, Donna Niedzwiecki and Allen Goode (2022). Image Quality and Dose Comparison of 3 Mobile Intraoperative Three-Dimensional Imaging Systems in Spine Surgery. World neurosurgery, 160. pp. e142–e151. 10.1016/j.wneu.2021.12.103 Retrieved from https://hdl.handle.net/10161/28027.
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Scholars@Duke
Lexie Zidanyue Yang
Education: Masters Degree, Biostatistics. Duke University School of Medicine. 2018
Overview: Lexie graduated from the master’s program in biostatistics at Duke in 2018. Over the past five years, she has collaborated with doctors, residents, fellows, and medical students in the Department of Neurosurgery and Pharmacy. Additionally, she is currently working with a faculty member in Surgery to investigate the impact of environmental factors on certain diseases. Lexie has extensive experience in data management with large databases, including MarketScan, HCUP, and CMS Medicare. She has also worked with EHR data and has experience with data extraction from DEDUCE and CRDM. Her statistical interests include longitudinal analysis, mediation analysis, survival analysis and latent class analysis.
Educational Background
Master of Biostatistics
Duke University (Durham, NC, USA) 2016-2018
Bachelor of Science
Mathematics, Statistics
University of Wisconsin-Madison (Madison, WI, USA) 2013-2016
Shandong University (Shandong, China) 2011-2013
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