Study Design Prospective animal study. Objective The aim of this animal study is to evaluate the accuracy of radiostereometric analysis (RSA) compared with computed tomographic (CT) scan in the assessment of spinal fusion after anterior lumbar interbody fusion (ALIF) using histology as a gold standard. Methods Three non-adjacent ALIFs (L1-L2, L3-L4, and L5-L6) were performed in nine sheep. The sheep were divided into three groups of three sheep. All the animals were humanely killed immediately after having the last scheduled RSA. The lumbar spine was removed and in vitro fine cut CT and histopathology were performed. Results Using histological assessment as the gold standard for assessing fusion, RSA demonstrated better results (100% sensitivity and 66.7% specificity; positive predictive value [PPV] = 27.3%, negative predictive value [NPV] =100.0%) compared with CT (66.7% sensitivity and 60.0% specificity [PPV = 16.7%, NPV = 93.8%]). Conclusions RSA demonstrated higher sensitivity and specificity when compared with CT. Furthermore, RSA has the advantage of much lower radiation exposure compared with fine cut CT. Further studies are required to see if RSA remains superior to CT scan for the assessment spinal fusion in the clinical setting. [Table: see text].
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http://dx.doi.org/10.1055/s-0033-1357359 | DOI Listing |
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Department of Orthopedics, Peking University Third Hospital, No. 49. North Garden Street, Hai Dian District, Beijing, 100191, People's Republic of China.
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January 2025
Department of Orthopedic Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
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View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Neurosurgery, Montefiore Medical Center, Bronx, NY 10461, USA.
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Department of Neurosurgery, University of Luebeck, 23562 Luebeck, Germany.
: This study aims to retrospectively detect associations with postoperative complications in spinal surgeries during the hospitalization period using standardized, single-center data to validate a method for complication detection and discuss the potential future use of generated data. : Data were generated in 2006-2019 from a standardized, weekly complications conference reviewing all neurosurgical operations at the University Hospital Luebeck. Paper-based data were recorded in a standardized manner during the conference and transferred with a time delay of one week into a proprietary complication register.
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Département d'Anatomie et Cytologie pathologiques, Hôpital Menzel Bourguiba, Menzel Bourguiba, Tunisia.
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