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"Hyun Jun Jang"

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"Hyun Jun Jang"

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Clinical Study – Cervical Spine

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Flexion K-Line Status Predicts Surgical Strategy in Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Multicenter Comparison of Laminoplasty and Laminectomy With Fusion
Neurospine. 2025;22(4):937-948.   Published online December 31, 2025
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Flexion K-Line Status Predicts Surgical Strategy in Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Multicenter Comparison of Laminoplasty and Laminectomy With Fusion
Neurospine. 2025;22(4):937-948.   Published online December 31, 2025
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Objective
To evaluate the clinical significance of a negative K-line in the neck flexion position (FK-line [-]), which indicates that cervical ossification of the posterior longitudinal ligament (OPLL) crosses the K-line during flexion, and to compare surgical outcomes between laminoplasty (LP) and laminectomy with fusion (LF) for multilevel FK-line (-) cervical OPLL.
Methods
A total of 349 patients with multiple cervical OPLL who underwent posterior decompression surgery (LP or LF) with a minimum of 2 years of follow-up were stratified by FK-line status. Clinical and radiological parameters were compared between the FK-line (+) and FK-line (-) groups. Subgroup analysis of FK-line (-) patients evaluated the efficacy of LP versus LF. Multivariate regression identified predictors of neurological recovery.
Results
Patients with FK-line (-) OPLL exhibited a smaller FK-line distance, more kyphotic alignment, greater cervical flexion, and lower recovery ratios compared to those with FK-line (+). In the FK-line (-) subgroup, LF achieved a significantly greater increase in FK-line distance, better correction of the flexion angle, and more neurological recovery than LP. Multivariate analyses identified postoperative FK-line distance, C2–7 flexion angle, and preoperative dynamic extension reserve as independent predictors of neurological outcomes.
Conclusion
FK-line status reflects the sagittal cord position and predicts surgical outcomes in cervical OPLL. In FK-line (-) patients, LF provides better neurological recovery and more effective posterior cord shift and kyphotic alignment correction than LP. Incorporating FK-line assessment to guide surgical planning could improve individualized treatment outcomes for multilevel OPLL.

Citations

Citations to this article as recorded by  Crossref logo
  • A Commentary on “Flexion K-Line Status Predicts Surgical Strategy in Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Multicenter Comparison of Laminoplasty and Laminectomy With Fusion”
    John H. Chi
    Neurospine.2025; 22(4): 951.     CrossRef
  • A Commentary on “Flexion K-Line Status Predicts Surgical Strategy in Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Multicenter Comparison of Laminoplasty and Laminectomy With Fusion”
    Yutaro Kanda
    Neurospine.2025; 22(4): 949.     CrossRef
  • From the Editor-in-Chief: Featured Articles in the December 2025 Issue
    Inbo Han
    Neurospine.2025; 22(4): 877.     CrossRef
  • 1,284 View
  • 73 Download
  • 3 Web of Science
  • 3 Crossref

Cervical Spine

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The Role of K-Line and Canal-Occupying Ratio in Surgical Outcomes for Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Retrospective Multicenter Study
Neurospine. 2025;22(2):337-348.   Published online June 30, 2025
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The Role of K-Line and Canal-Occupying Ratio in Surgical Outcomes for Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Retrospective Multicenter Study
Neurospine. 2025;22(2):337-348.   Published online June 30, 2025
Close
Objective
To evaluate the impact of the K-line and canal-occupying ratio (COR) on surgical outcomes in patients with multilevel cervical ossification of the posterior longitudinal ligament (OPLL).
Methods
Patients with cervical myelopathy due to multilevel OPLL who underwent decompression surgery (anterior or posterior) from 2013 to 2022, with 2-year minimum follow-up, were enrolled. Radiological evaluations included K-line, COR, OPLL type/level, and cervical parameters (C2 slope [C2S], T1 slope [T1S], K-line tilt). Clinical outcomes included Japanese Orthopaedic Association (JOA) score and neck-pain visual analogue scale. Patients were categorized by K-line status (+/-) and COR (<50% or ≥50%).
Results
Among 575 patients, JOA recovery was significantly better in the K-line (+) and in low COR (<50%). In high COR (≥50%), K-line (-) was associated with poorer recovery. In low COR, outcomes were similar regardless of K-line. Anterior decompression with fusion (ADF) yielded the best outcomes. Laminoplasty (LP) was optimal for COR ≥50% and/or K-line (+), while laminectomy with fusion (LF) was better for COR ≥50% and K-line (-). In high COR, K-line was influenced by cervical alignment, C2S, and T1S, while in low COR, it was mainly affected by COR percentage.
Conclusion
Combining K-line and COR is essential for surgical planning in multilevel OPLL. When COR is high, K-line plays a significant role in predicting neurological recovery. ADF led to superior recovery, whereas for patients with K-line (-) and high COR, LF offered better results than LP. Cervical parameters at high COR influence the K-line more.

Citations

Citations to this article as recorded by  Crossref logo
  • Evaluating the demographics and complications of North American surgical patients with ossification of the posterior longitudinal ligament
    Aaron Phung, Justin Hyde, Justin Azmoodeh, Theodore Quan, Lancelot Benn, Christopher P. Bellaire, Oliver Tannous, Joseph Ferguson, Seyed B Kalantar, David Weiner, Andrew Mo, Fred Mo, Sean Bae, Ala Alshomali, Crisanto L. Macaraeg, Kevin Yoon, Jonathan P. J
    Journal of Clinical Neuroscience.2026; 144: 111790.     CrossRef
  • Radiological assessment in cervical spine myelopathy
    Shanmuganathan Rajasekaran, Gnanaprakash Gurusamy, Pushpa Bhari Thippeswamy, Karthik Ramachandran, Stefano Conti
    Journal of Clinical Orthopaedics and Trauma.2026; 72: 103301.     CrossRef
  • C2-Involving Cervical Ossification of the Posterior Longitudinal Ligament (OPLL): Dome-like Laminoplasty Versus Laminectomy With Fusion
    Jun Jae Shin, Sun Joon Yoo, Se Jun Park, Dong Kyu Kim, Hyun Jun Jang, Bong Ju Moon, Kyung Hyun Kim, Jeong Yoon Park, Sung Uk Kuh, Dong Kyu Chin, Keun Su Kim, Joongkyum Shin, Yoon Ha
    Global Spine Journal.2026;[Epub]     CrossRef
  • Dynamic K-Line Status and Surgical Outcomes in Multilevel Cervical OPLL: A Multicenter Comparative Study
    Jun Jae Shin, Sun Joon Yoo, Se Jun Park, Dong Kyu Kim, Hyun Jun Jang, Bong Ju Moon, Kyung Hyun Kim, Jeong Yoon Park, Sung Uk Kuh, Dong Kyu Chin, Keun Su Kim, Chang Kyu Lee, Keung Nyun Kim, Tae Woo Kim, Yoon Ha
    Journal of Clinical Medicine.2026; 15(2): 520.     CrossRef
  • A comparative study on surgical management of long-course symptomatic cervical OPLL between anterior en bloc resection and posterior laminectomy with instrumented fusion
    Kefu Chen, Yiwei Lu, Shu Liu, Lianshun Jia, Xingcheng Dong, Tianwen Ye
    BMC Musculoskeletal Disorders.2026;[Epub]     CrossRef
  • Reduction of Spinal Cord Cross-Sectional Area Is Associated With Myelopathy in Severe Cervical Ossification of the Posterior Longitudinal Ligaments
    Hyun-Jun Jang, Dong-Kyu Kim, Bong-Ju Moon, Kyung-Hyun Kim, Jeong-Yoon Park, Sung-Uk Kuh, Keun-Su Kim, Yong-Eun Cho, Dong-Kyu Chin
    Neurosurgery.2026;[Epub]     CrossRef
  • Spinal cord extracellular matrix hydrogel enhances organoid maturation and functional regeneration after spinal cord injury
    Junghoon Kim, Songzi Zhang, Joon-Hyuk Jung, Mi-Jeong Lee, Inbo Han, Seung-Woo Cho
    Materials Today Bio.2026; 38: 103168.     CrossRef
  • Surgical Technique and Technical Pearls of O-arm Navigation-assisted Anterior Cervical Corpectomy and Fusion for Cervical Ossification of the Posterior Longitudinal Ligament (OPLL)
    Yusuke Nishimura
    Spinal Surgery.2026; 40(1): 8.     CrossRef
  • Flexion K-Line Status Predicts Surgical Strategy in Multilevel Cervical Ossification of the Posterior Longitudinal Ligament: A Multicenter Comparison of Laminoplasty and Laminectomy With Fusion
    Jun Jae Shin, Sun Joon Yoo, Se Jun Park, Dong Kyu Kim, Hyun Jun Jang, Bong Ju Moon, Kyung Hyun Kim, Jeong Yoon Park, Sung Uk Kuh, Dong Kyu Chin, Keun Su Kim, Yong Eun Cho, Chang Kyu Lee, Dong Ah Shin, Seong Yi, Keung Nyun Kim, Joongkyum Shin, Yoon Ha
    Neurospine.2025; 22(4): 937.     CrossRef
  • 8,909 View
  • 250 Download
  • 9 Web of Science
  • 9 Crossref

Minimally Invasive Spine Surgery

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Comparative Outcomes of Biportal Endoscopic Decompression, Conventional Subtotal Laminectomy, and Minimally Invasive Transforaminal Lumbar Interbody Fusion for Lumbar Central Stenosis
Neurospine. 2024;21(4):1178-1189.   Published online December 31, 2024
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Comparative Outcomes of Biportal Endoscopic Decompression, Conventional Subtotal Laminectomy, and Minimally Invasive Transforaminal Lumbar Interbody Fusion for Lumbar Central Stenosis
Neurospine. 2024;21(4):1178-1189.   Published online December 31, 2024
Close
Objective
Spinal stenosis is a prevalent condition; however, the optimal surgical treatment for central lumbar stenosis remains controversial. This study compared the clinical outcomes and radiological parameters of 3 surgical methods: unilateral laminectomy bilateral decompression with unilateral biportal endoscopy (ULBD-UBE), conventional subtotal laminectomy (STL), and minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF).
Methods
This retrospective study included 86 patients, divided into ULBD-UBE (n=34), STL (n=24), and MIS-TLIF (n=28) groups. We evaluated demographics and perioperative factors and assessed clinical outcomes using the visual analogue scale (VAS), Oswestry Disability Index (ODI), and neurogenic intermittent claudication (NIC). Radiological parameters assessed included lumbar lordosis, L4S1 Cobb angle (L4S1), T12S1 Cobb angle (T12S1), increased cross-sectional dural area (CSA), dynamic angulation (DA), dynamic slip (DS), and development of postoperative instability.
Results
The ULBD-UBE group showed a significantly shorter hospital stay duration and operation time and reduced blood loss than the other groups (p<0.001). ULBD-UBE group showed a trend towards greater VAS and ODI improvement at 1 month and postoperative NIC symptom relief. Radiologically, MIS-TLIF group exhibited lower postoperative DA and DS (p<0.001), indicating higher postoperative stability. Postoperative instability was lower in the ULBD-UBE group (2.9%) than in the STL group (16.7%) and similar to the MIS-TLIF group (0.0%) (p=0.028). The CSA was highest in the MIS-TLIF group (295.5%) compared to that in the other groups (ULBD-UBE, 216.3%; STL, 245.2%) (p<0.001).
Conclusion
Compared to other procedures, ULBD-UBE is a safe, effective, and viable surgical procedure for treating lumbar central stenosis.

Citations

Citations to this article as recorded by  Crossref logo
  • Bilateral versus Unilateral Decompression in Single-Level Transforaminal Lumbar Interbody Fusion for Degenerative Spondylolisthesis: A Retrospective Comparative Study
    Lu-ming Nong, Jian-jian Yin, Gong-ming Gao, Nan-wei Xu, Gong-yin Zhao, Yu-qing Jiang, Long Han
    World Neurosurgery.2026; 206: 124784.     CrossRef
  • Comparison of paraspinal muscle changes after biportal endoscopic and microscopic lumbar discectomy or decompression
    Ki-Han You, Sang-Min Park, Daniel Park, Min-Seok Kang, Seung-Yeon Jeong, Sun-Ho Cha, Samuel Cho, Hyun-Jin Park
    European Spine Journal.2026;[Epub]     CrossRef
  • O‐Arm Navigation Enhances Facet Preservation Without Compromising Clinical Outcomes in UBE Decompression for Radiographically Stable Adult Degenerative Scoliosis: A Single‐Center Comparative Study
    Yi Liu, Yiwei Xie, Zhibao Chen, Ruijun Xu, Haojie Chen, Xiaojian Ye, Jiangming Yu
    Orthopaedic Surgery.2026; 18(6): 1203.     CrossRef
  • A minimally invasive robotic spinal surgical system for anterior lumbar nerve decompression
    Qingxiang Zhao, Xiandi Wang, Xin Zhong, Runfeng Zhu, Peizhi Zhou, Dan Pu, Baitao Lin, Tao Li, Shiyuan Sui, Haonan Zhou, Yuxi Cheng, Hao Zheng, Henry K. Chu, Jiancheng Zeng, Kang Li
    Science Robotics.2026;[Epub]     CrossRef
  • Totally endoscopic trans‑superior articular process lumbar interbody fusion: A case series on the development and preliminary evaluation of an innovative minimally invasive lumbar spine surgical technique
    Hualv Liu, Junjie Li, Yuhao Gao, Shilei Qin, Pengfei Han, Yunfeng Xu
    Experimental and Therapeutic Medicine.2025; 30(1): 1.     CrossRef
  • Bilateral–Contralateral Endoscopic Decompression as a Fusion-Deferral Strategy in Upper Lumbar Stenosis: A Structural Rationale and Conditional Framework—A Technical Note with Cases Review
    Dong Hyun Lee, Sang Yeop Han, Seung Young Jeong, Il-Tae Jang
    Journal of Clinical Medicine.2025; 14(16): 5726.     CrossRef
  • Reply Letter: A Commentary on “Comparative Outcomes of Biportal Endoscopic Decompression, Conventional Subtotal Laminectomy, and Minimally Invasive Transforaminal Lumbar Interbody Fusion for Lumbar Central Stenosis”
    Jeong-Yoon Park
    Neurospine.2025; 22(3): 875.     CrossRef
  • Efficacy of unilateral biportal endoscopy vs. unilateral portal endoscopy for the treatment of lumbar spinal stenosis: a systematic review and meta-analysis
    Yongjia Yu, Yuguang An, Chang Liu, Kemin Wang, Wuqiao Liang, Huazhong Gan, Zhaoju Hong, Qingmei Zhang, Maolin He, Daqin Feng
    Frontiers in Surgery.2025;[Epub]     CrossRef
  • A Commentary on “Comparative Outcomes of Biportal Endoscopic Decompression, Conventional Subtotal Laminectomy, and Minimally Invasive Transforaminal Lumbar Interbody Fusion for Lumbar Central Stenosis”
    Xiangge Liu
    Neurospine.2025; 22(3): 873.     CrossRef
  • Comparison of unilateral biportal endoscopic lumbar fusion and modified minimally invasive tubular lumbar fusion for lumbar disc herniation: a two-year retrospective study
    Jialong Qi, Mingxiang Liu, Tao Shan, Zhou Dong, Guosong Han, Zhihao Ni, Ke Zheng, Li Ma, Zhidong Zhang
    Frontiers in Neurology.2025;[Epub]     CrossRef
  • 8,228 View
  • 174 Download
  • 11 Web of Science
  • 10 Crossref

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Development and Validation of an Online Calculator to Predict Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery Using Machine Learning
Neurospine. 2023;20(4):1272-1280.   Published online December 31, 2023
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Development and Validation of an Online Calculator to Predict Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery Using Machine Learning
Neurospine. 2023;20(4):1272-1280.   Published online December 31, 2023
Close
Objective
Although adult spinal deformity (ASD) surgery aims to restore and maintain alignment, proximal junctional kyphosis (PJK) may occur. While existing scoring systems predict PJK, they predominantly offer a generalized 3-tier risk classification, limiting their utility for nuanced treatment decisions. This study seeks to establish a personalized risk calculator for PJK, aiming to enhance treatment planning precision.
Methods
Patient data for ASD were sourced from the Korean spinal deformity database. PJK was defined a proximal junctional angle (PJA) of ≥ 20° at the final follow-up, or an increase in PJA of ≥ 10° compared to the preoperative values. Multivariable analysis was performed to identify independent variables. Subsequently, 5 machine learning models were created to predict individualized PJK risk post-ASD surgery. The most efficacious model was deployed as an online and interactive calculator.
Results
From a pool of 201 patients, 49 (24.4%) exhibited PJK during the follow-up period. Through multivariable analysis, postoperative PJA, body mass index, and deformity type emerged as independent predictors for PJK. When testing machine learning models using study results and previously reported variables as hyperparameters, the random forest model exhibited the highest accuracy, reaching 83%, with an area under the receiver operating characteristics curve of 0.76. This model has been launched as a freely accessible tool at: (https://snuspine.shinyapps.io/PJKafterASD/).
Conclusion
An online calculator, founded on the random forest model, has been developed to gauge the risk of PJK following ASD surgery. This may be a useful clinical tool for surgeons, allowing them to better predict PJK probabilities and refine subsequent therapeutic strategies.

Citations

Citations to this article as recorded by  Crossref logo
  • THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN SPINAL CARE ASSESSMENT AND SURGERY: A COMPREHENSIVE NARRATIVE REVIEW
    Anıl Murat Öztürk, Cemre Aydın, Onur Süer, Erhan Sesli, Ömer Akçalı, Emin Alıcı
    Journal of Turkish Spinal Surgery.2026; 37(1): 49.     CrossRef
  • Explainable Machine Learning Approach to Prediction of Prolonged Intensive Care Unit Stay in Adult Spinal Deformity Patients: Machine Learning Outperforms Logistic Regression
    Bashar Zaidat, Mark Kurapatti, Jonathan S. Gal, Samuel K. Cho, Jun S. Kim
    Global Spine Journal.2025; 15(4): 1992.     CrossRef
  • Machine-learning models for the prediction of ideal surgical outcomes in patients with adult spinal deformity
    Dongfan Wang, Qijun Wang, Peng Cui, Shuaikang Wang, Di Han, Xiaolong Chen, Shibao Lu
    The Bone & Joint Journal.2025; 107-B(3): 337.     CrossRef
  • The Application of Artificial Intelligence in Spine Surgery: A Scoping Review
    Liangyu Shi, Hongfei Wang, Graham Ka-Hon Shea
    JAAOS: Global Research and Reviews.2025;[Epub]     CrossRef
  • Harnessing machine learning to predict and prevent proximal junctional kyphosis and failure in adult spinal deformity surgery: A systematic review
    Paolo Brigato, Gianluca Vadalà, Sergio De Salvatore, Leonardo Oggiano, Giuseppe Francesco Papalia, Fabrizio Russo, Rocco Papalia, Pier Francesco Costici, Vincenzo Denaro
    Brain and Spine.2025; 5: 104273.     CrossRef
  • Artificial intelligence in spine surgery
    Cheng Zhang, Shanshan Liu, Jialin Shi, Xingyu Zhou, Peter Passias, Nanfang Xu, Weishi Li
    Spine Research.2025; 1(1): 13.     CrossRef
  • Novel risk factors and personalized risk calculator for predicting proximal junctional kyphosis after adult spinal deformity surgery
    Qijun Wang, Zheng Wang, Dongfan Wang, Xuan Zhao, Xiaolong Chen, Shibao Lu
    The Bone & Joint Journal.2025; 107-B(8): 829.     CrossRef
  • Implications of artificial intelligence
    Michael W. Fields, Nathan J. Lee, Ronald A. Lehman
    Seminars in Spine Surgery.2024; 36(3): 101122.     CrossRef
  • Machine learning applications in adult spinal deformity corrective surgery: a narrative review
    Nader Toossi, Ozhan Jerry
    Artificial Intelligence Surgery.2024; 4(3): 258.     CrossRef
  • Prediction of postoperative mechanical complications in ASD patients based on total sequence and proportional score of spinal sagittal plane
    Wenbin Jiang, Huagang Shi, Tao Gu, Zonglin Cai, Qinglong Li
    SLAS Technology.2024; 29(6): 100222.     CrossRef
  • Predicting Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery: A Step Towards True “Precision” Medicine?: Commentary on “Development and Validation of an Online Calculator to Predict Proximal Junctional Kyphosis After Adult Spinal Deformity
    Lara M. Höbner, Alexandra Grob, Victor E. Staartjes
    Neurospine.2023; 20(4): 1284.     CrossRef
  • Commentary on “Development and Validation of an Online Calculator to Predict Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery Using Machine Learning”
    In Ho Han
    Neurospine.2023; 20(4): 1281.     CrossRef
  • From the Editor-in-Chief: Featured Articles in the December 2023 Issue
    Inbo Han
    Neurospine.2023; 20(4): 1093.     CrossRef
  • 5,539 View
  • 197 Download
  • 13 Web of Science
  • 13 Crossref