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"Seon-Jin Yoon"

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"Seon-Jin Yoon"

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Finite Element Analysis of Stress Distribution and Range of Motion in Discogenic Back Pain
Neurospine. 2024;21(2):536-543.   Published online February 1, 2024
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Finite Element Analysis of Stress Distribution and Range of Motion in Discogenic Back Pain
Neurospine. 2024;21(2):536-543.   Published online February 1, 2024
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Objective
Precise knowledge regarding the mechanical stress applied to the intervertebral disc following each individual spine motion enables physicians and patients to understand how people with discogenic back pain should be guided in their exercises and which spine motions to specifically avoid. We created an intervertebral disc degeneration model and conducted a finite element (FE) analysis of loaded stresses following each spinal posture or motion.
Methods
A 3-dimensional FE model of intervertebral disc degeneration at L4–5 was constructed. The intervertebral disc degeneration model was created according to the modified Dallas discogram scale. The von Mises stress and range of motion (ROM) regarding the intervertebral discs and the endplates were analyzed.
Results
We observed that mechanical stresses loaded onto the intervertebral discs were similar during flexion, extension, and lateral bending, which were greater than those occurring during torsion. Based on the comparison among the grades divided by the modified Dallas discogram scale, the mechanical stress during extension was greater in grades 3–5 than it was during the others. During extension, the mechanical stress loaded onto the intervertebral disc and endplate was greatest in the posterior portion. Mechanical stresses loaded onto the intervertebral disc were greater in grades 3–5 compared to those in grades 0–2.
Conclusion
Our findings suggest that it might be beneficial for patients experiencing discogenic back pain to maintain a neutral posture in their lumbar spine when engaging in daily activities and exercises, especially those suffering from significant intravertebral disc degeneration.

Citations

Citations to this article as recorded by  Crossref logo
  • Minor endplate damage as an initiator of systemic biomechanical disruption of the lumbar disc: a finite element analysis of the ‘mechanical tipping point’ in disc failure
    Shanmuganathan Rajasekaran, Davidson Jebaseelan, Gnanaprakash Gurusamy, Karthik Banurekha Devaraj, Balaji Harinathan, Narayan Yoganandan
    European Spine Journal.2026; 35(7): 3809.     CrossRef
  • Progression of radial tears in L5-S1 intervertebral disc depends on location and type of movements: An in-silico study
    Vinyas, Subraya Krishna Bhat, Hiroshi Yamada, Raviraja Adhikari, Shyamasunder Bhat N, Alessandra Aldieri
    PLOS One.2026; 21(6): e0352680.     CrossRef
  • Adjacent segment disease following long segment instrumentation of lumbar spine: A finite element analysis study
    P. Venkata Sudhakar, Aman Verma, Shivendra Kumar Sinha, Pankaj Kandwal, Bhaskar Sarkar, Inder Vir Singh
    Indian Journal of Medical Research.2026; 0: 1.     CrossRef
  • Predicting the biomechanical behavior of lumbar intervertebral Discs: A comparative finite element analysis of a novel artificial disc design
    Ashutosh Khanna, Pushpdant Jain, C.P. Paul
    Journal of Clinical Neuroscience.2025; 132: 110960.     CrossRef
  • A Biomechanical Evaluation of a Novel Interspinous Process Device: In Vitro Flexibility Assessment and Finite Element Analysis
    Hangkai Shen, Chuanguang Ju, Tao Gao, Jia Zhu, Weiqiang Liu
    Bioengineering.2025; 12(4): 384.     CrossRef
  • Finite element modeling of anatomical constitutional types of the lumbar spine and pelvis (Roussouly) for study of the biomechanical aspects
    A. E. Shulga, V. Yu. Ulyanov, Yu. Yu. Rozhkova, S. D. Shuvalov
    Genij Ortopedii.2025; 31(3): 297.     CrossRef
  • Biomechanical effects of transforaminal endoscopic lumbar discectomy combined with spinal dynamic stabilization system use on adjacent segments: a finite element analysis
    Rongbin Chen, Yan Dou, Canjin Peng, Yihao Liang, Jianquan Chen, Shunping Li, Zhaotian Wu, Yong Li
    BMC Musculoskeletal Disorders.2025;[Epub]     CrossRef
  • A finite element biomechanical investigation of lumbar spine segments through novel intervertebral disc design
    Ashutosh Khanna, Pushpdant Jain, C.P. Paul
    Journal of Clinical Neuroscience.2025; 139: 111425.     CrossRef
  • Enhanced disc regeneration through CRISPR/Cas9-mediated SOX9 and TGFβ1 coexpression in tonsil-derived mesenchymal stromal cells
    Somin Lee, Yerin Yu, Dong hee Kim, Minsung Bock, Yeji Kim, Seong Bae An, Hyemin Choi, Hae Eun Shin, Dong-Youn Hwang, Inbo Han
    Stem Cell Research & Therapy.2025;[Epub]     CrossRef
  • 10,044 View
  • 295 Download
  • 10 Web of Science
  • 9 Crossref

Bone Biology and Osteoporosis Special Issue

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The Combined Effects of RhBMP-2 and Systemic RANKL Inhibitor in Patients With Bone Density Loss Undergoing Posterior Lumbar Interbody Fusion: A Retrospective Observational Analysis With Propensity Score Matching
Neurospine. 2023;20(4):1186-1192.   Published online December 31, 2023
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The Combined Effects of RhBMP-2 and Systemic RANKL Inhibitor in Patients With Bone Density Loss Undergoing Posterior Lumbar Interbody Fusion: A Retrospective Observational Analysis With Propensity Score Matching
Neurospine. 2023;20(4):1186-1192.   Published online December 31, 2023
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Objective
The risks of nonunion and subsidence are high in patients with bone density loss undergoing spinal fusion surgery. The internal application of recombinant human bone morphogenic protein 2 (rhBMP-2) in an interbody cage improves spinal fusion; however, related complications have been reported. Denosumab, a human monoclonal antibody targeting the receptor activator of nuclear factor kappa B ligand (RANKL), hinders osteoblast differentiation and function. Therefore, this study aimed to observe the combined effect of the local application of rhBMP-2 in a lumbar cage and systemic RANKL inhibition on postoperative spinal fusion in patients with bone density loss undergoing posterior lumbar interbody fusion (PLIF).
Methods
This retrospective observational study included 251 consecutive patients with spinal stenosis who underwent PLIF at a single center between 2017 and 2021. Clinical outcomes were assessed, and radiographic evaluations included lumbar flexion, extension, range of motion, and subsidence. Statistical analyses were conducted to identify the combined effect of the treatment and the subsidence and spinal fusion status.
Results
One hundred patients were included in the final analysis. Denosumab treatment significantly reduced the rate of osteolysis (p = 0.013). When denosumab was administered in combination with rhBMP-2, the fusion status remained similar; however, the incidences of postoperative osteolysis and postoperative oozing day decreased.
Conclusion
The combined use of rhBMP-2 and RANKL inhibition in patients with bone density loss can enhance bone formation after PLIF with fewer complications than rhBMP-2 alone.

Citations

Citations to this article as recorded by  Crossref logo
  • Postoperative bone loss after posterior lumbar interbody fusion is a risk factor of cage subsidence independently of preoperative CT-derived attenuation: a retrospective study based on hounsfield unit
    Yunsheng Wang, Ruiling Wang, Tong Tong, Dechao Miao, Feng Wang, Linfeng Wang
    BMC Musculoskeletal Disorders.2026;[Epub]     CrossRef
  • Histomorphologic Assessment of Osteoregeneration in a Rabbit Femur Model With Xenograft, Bone Morphogenetic Protein-2, Platelet-Rich Plasma, and Denosumab
    Berik Tuleubayev, Yevgeniy Kamyshanskiy, Yerkin-Dauir Kurmangaliyev, Amina Koshanova, Ivan Avromidi, Yekaterina Kossilova, Daryn Darybayev
    Plastic and Reconstructive Surgery - Global Open.2026; 14(4): e7593.     CrossRef
  • Comparable Fusion Response, but Increased Inflammatory Response, with Escherichia coli-Derived Recombinant Human Bone Morphogenetic Protein-2 in Posterior Lumbar Interbody Fusion Surgery
    Mu Ha Lee, Hyun Jun Jang, Kyung Hyun Kim, Jeong-Yoon Park, Sung Uk Kuh, Dong Kyu Chin, Keun Su Kim, Jae Keun Oh, Bong Ju Moon
    Journal of Clinical Medicine.2026; 15(11): 4026.     CrossRef
  • Comparison of Hounsfield Unit, Vertebral Bone Quality, and Dual-Energy X-Ray Absorptiometry T-Score for Predicting Cage Subsidence After Posterior Lumbar Interbody Fusion
    Yunsheng Wang, Jiali Zhang, Tong Tong, Dechao Miao, Feng Wang, Linfeng Wang
    Global Spine Journal.2025; 15(4): 2226.     CrossRef
  • Antiosteoporosis medication in patients with posterior spine fusion: a systematic review and meta-analysis
    HyungSub Jin, HyungJu Jin, Kyung-Soo Suk, Byung Ho Lee, Si Young Park, Hak-Sun Kim, Seong-Hwan Moon, Sub-Ri Park, Namhoo Kim, Jae Won Shin, Ji-Won Kwon
    The Spine Journal.2025; 25(9): 1877.     CrossRef
  • Impact of Frailty and Other Factors as Estimated by HU to Predict Response to Anabolic Bone Medications
    Abdelrahman M. Hamouda, Zach Pennington, Rahul Kumar, Michael L. Martini, Derrick Obiri-Yeboah, Maria Astudillo Potes, Nicholas Kendall, Anthony L. Mikula, Michelle J. Clarke, William E. Krauss, Ahmad N. Nassr, Brett A. Freedman, Arjun S. Sebastian, Melvi
    Journal of Clinical Medicine.2025; 14(9): 3247.     CrossRef
  • Application of BMP-2 for bone regeneration in osteoporosis
    V.S. Kuznetsova, V.A. Sinelnikova, A.V. Vasilyev
    Stomatology.2025; 104(3): 101.     CrossRef
  • Low-Dose Bone Morphogenetic Protein Use in Spinal Fusion : Rethinking Clinical Efficacy
    Jun Ho Lee, Ji Hyun Youn, Hyun Jung Park, Seung-Jae Hyun
    Journal of Korean Neurosurgical Society.2025; 68(6): 632.     CrossRef
  • Promotion of Bone Formation in a Rat Osteoporotic Vertebral Body Defect Model via Suppression of Osteoclastogenesis by Ectopic Embryonic Calvaria Derived Mesenchymal Stem Cells
    Yerin Yu, Somin Lee, Minsung Bock, Seong Bae An, Hae Eun Shin, Jong Seop Rim, Jun-oh Kwon, Kwang-Sook Park, Inbo Han
    International Journal of Molecular Sciences.2024; 25(15): 8174.     CrossRef
  • The Canal Bone Ratio
    Yunsheng Wang, Tong Tong, Jiali Zhang, Dechao Miao, Feng Wang, Linfeng Wang
    Spine.2024; 49(22): 1570.     CrossRef
  • 8,049 View
  • 191 Download
  • 9 Web of Science
  • 10 Crossref

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Three-Dimensional Quantitative Assessment of Pedicle Screw Accuracy in Clinical Utilization of a New Robotic System in Spine Surgery: A Multicenter Study
Neurospine. 2023;20(3):1028-1039.   Published online September 30, 2023
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Three-Dimensional Quantitative Assessment of Pedicle Screw Accuracy in Clinical Utilization of a New Robotic System in Spine Surgery: A Multicenter Study
Neurospine. 2023;20(3):1028-1039.   Published online September 30, 2023
Close
Objective
The objective of this study was to evaluate the accuracy of pedicle screw placement in patients undergoing percutaneous pedicle screw fixation with robotic guidance, using a newly developed 3-dimensional quantitative measurement system. The study also aimed to assess the clinical feasibility of the robotic system in the field of spinal surgery.
Methods
A total of 113 patients underwent pedicle screw insertion using the CUVIS-spine pedicle screw guide system (CUREXO Inc.). Intraoperative O-arm images were obtained, and screw insertion pathways were planned accordingly. Image registration was performed using paired-point registration and iterative closest point methods. The accuracy of the robotic-guided pedicle screw insertion was assessed using 3-dimensional offset calculation and the Gertzbein-Robbins system (GRS).
Results
A total of 448 screws were inserted in the 113 patients. The image registration success rate was 95.16%. The average error of entry offset was 2.86 mm, target offset was 2.48 mm, depth offset was 1.99 mm, and angular offset was 3.07°. According to the GRS grading system, 88.39% of the screws were classified as grade A, 9.60% as grade B, 1.56% as grade C, 0.22% as grade D, and 0.22% as grade E. Clinically acceptable screws (GRS grade A or B) accounted for 97.54% of the total, with no reported neurologic complications.
Conclusion
Our study demonstrated that pedicle screw insertion using the novel robot-assisted navigation method is both accurate and safe. Further prospective studies are necessary to explore the potential benefits of this robot-assisted technique in comparison to conventional approaches.

Citations

Citations to this article as recorded by  Crossref logo
  • Evaluation of pedicle screw accuracy and deviation from preoperative planning in intraoperative Cone-Beam Computed Tomography-Navigated lumbar spinal fusion: a prospective study
    Gianluca Vadalà, Giuseppe Francesco Papalia, Niccolò Nardi, Fabrizio Russo, Luca Ambrosio, Girolamo Maltese, Rocco Papalia, Vincenzo Denaro
    Brain and Spine.2026; 6: 105988.     CrossRef
  • Combining Engineering Precision with Clinical Relevance: A Novel Dual Framework for Assessing Pedicle Screw Accuracy in Spine Surgery
    Arnaud Delafontaine, Olivier Cartiaux, Bernard G. Francq, Virginie Cordemans
    Journal of Clinical Medicine.2026; 15(6): 2328.     CrossRef
  • A comprehensive framework for planning pedicle screw trajectory using ANTs template-based registration approach
    Hang Phuong Nguyen, Suk-Joong Lee, Sungmin Kim
    European Spine Journal.2026;[Epub]     CrossRef
  • Robotic Spine Surgery: Systematic Review of Common Error Types and Best Practices
    Diwas Gautam, Sheela Vivekanandan, Marcus D. Mazur
    Operative Neurosurgery.2025; 28(3): 295.     CrossRef
  • Advancements in robotic-assisted spine surgery: A literature review and technology comparison
    Jonathan Hammond, Stefano Priola
    Interdisciplinary Neurosurgery.2025; 40: 102056.     CrossRef
  • Robotic-Guided Spine Surgery: Implementation of a System in Routine Clinical Practice—An Update
    Mirza Pojskić, Miriam Bopp, Omar Alwakaa, Christopher Nimsky, Benjamin Saß
    Journal of Clinical Medicine.2025; 14(13): 4463.     CrossRef
  • Evaluating accuracy in robotic-assisted thoracolumbar pedicle screw placement: Insights from a single-center study of 410 patients
    Abhishek Soni, Vidyadhara Srinivasa, Akhil Xavier Joseph, Balamurugan Thirugnanam, Alia Vidyadhara
    Journal of Craniovertebral Junction and Spine.2025; 16(4): 408.     CrossRef
  • Robotic-Assisted Spine Surgery: Role in Training the Next Generation of Spine Surgeons
    Jun Seok Lee, Dong Wuk Son, Su Hun Lee, Jong Hyeok Lee, Young Ha Kim, Sang Weon Lee, Bu Kwang Oh, Soon Ki Sung, Geun Sung Song, Seong Yi
    Neurospine.2024; 21(1): 116.     CrossRef
  • Artificial Intelligence (AI)-Robotics Started When Human Capability Reached Limit, Human Creativity Begin Again When the Capability of AI-Robotics Reaches a Plateau
    Seong Yi
    Neurospine.2024; 21(1): 3.     CrossRef
  • Navigation-Guided/Robot-Assisted Spinal Surgery: A Review Article
    Young-Seok Lee, Dae-Chul Cho, Kyoung-Tae Kim
    Neurospine.2024; 21(1): 8.     CrossRef
  • Fully automated determination of robotic pedicle screw accuracy and precision utilizing computer vision algorithms
    Benjamin N. Groisser, Ankush Thakur, Howard J. Hillstrom, Akshitha Adhiyaman, Colson Zucker, Jerry Du, Matthew Cunningham, M. Timothy Hresko, Ram Haddas, John Blanco, Hollis G. Potter, Douglas N. Mintz, Ryan E. Breighner, Jessica H. Heyer, Roger F. Widman
    Journal of Robotic Surgery.2024;[Epub]     CrossRef
  • 11,248 View
  • 237 Download
  • 14 Web of Science
  • 11 Crossref