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Artificial Intelligence

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Automated Measurement of Occipito-Axial Angle on Cervical Radiographs Using a Deep Learning Object Detection Model: A Proof-of-Concept Study
Neurospine. 2026;23(2):380-392.   Published online April 30, 2026
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Automated Measurement of Occipito-Axial Angle on Cervical Radiographs Using a Deep Learning Object Detection Model: A Proof-of-Concept Study
Neurospine. 2026;23(2):380-392.   Published online April 30, 2026
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Objective
Maintaining the occipito-axial (O–C2) angle following occipitocervical fusion is crucial to prevent postoperative complications. Although automated O–C2 measurement has been reported, practical methods that provide rapid results for routine practice remain limited. This study aimed to develop a deep learning model using the YOLO (You Only Look Once) object detection algorithm to automatically identify anatomical landmarks and rapidly calculate the O–C2 angle.
Methods
A retrospective analysis was conducted using cervical spine radiographs from 2 independent facilities. The internal dataset comprised 574 lateral cervical radiographs from 271 patients for model development, while the external validation dataset included 100 radiographs from 100 patients. Model performance was evaluated against manual measurements by 3 expert raters.
Results
The model demonstrated excellent detection performance, achieving perfect metrics for the hard palate (F1 score: 1.00) and high performance for the occipital bone (F1 score: 0.97), anteroinferior corner of C2 (F1 score: 0.99), and posteroinferior corner of C2 (F1 score: 0.99). For O–C2 angle estimation, the mean absolute error was 2.35° and root mean squared error was 2.98°, with an accuracy of 94.7% for determining the presence or absence of the O–C2 angle (i.e., whether all 4 anatomical landmarks were simultaneously detected). Bland-Altman analysis revealed minimal bias (0.57°; 95% confidence interval, -0.06° to 1.12°) with limits of agreement from -5.19° to 6.33°. Inference time was approximately 0.14 s per image.
Conclusion
Our deep learning model enables rapid and accurate O–C2 angle measurement on lateral cervical radiographs, demonstrating performance comparable to expert raters and potential clinical utility.
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Artificial Intelligence

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Deep Learning-Assisted Lumbar Degeneration Evaluation Using Plain Radiographs: Development and Validation of a Novel Dual-Mechanism Architecture
Neurospine. 2026;23(2):393-403.   Published online April 30, 2026
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Deep Learning-Assisted Lumbar Degeneration Evaluation Using Plain Radiographs: Development and Validation of a Novel Dual-Mechanism Architecture
Neurospine. 2026;23(2):393-403.   Published online April 30, 2026
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Objective
To develop and externally validate a dual-mechanism deep learning (DL) model that integrates vertebral segmentation and lesion detection for automated evaluation of lumbar degeneration and structured report generation on plain radiographs.
Methods
In this retrospective study, 5,964 patients who underwent standing anteroposterior and lateral lumbar radiographs at a single institution and 600 patients from a public dataset (BUU-Spine) were included. Vertebral corners from T11–L5 (and S1 on lateral views) and 7 degenerative findings (scoliosis, straightened/preserved lordosis, spondylolisthesis, disc space narrowing, osteophytes, vertebral compression, and abdominal aortic calcification) were annotated by 3 spine surgeons. Two independently trained, parallel networks were developed, including a ResNet-based segmentation network and a YOLOv8-based detection network. A rule-based integration strategy reconciled both outputs and generated structured diagnostic reports. Segmentation accuracy, quantitative measurement agreement, diagnostic performance, and clinical acceptability of reports were evaluated.
Results
Intra- and interobserver landmark distances within 3 mm reached 96% and >95%, respectively. On the internal test set, the percentage of correct keypoints within 3 mm was 95.7%–98.6%, with intraclass correlation coefficients of 0.84–0.89 and Pearson correlation coefficient (r) of 0.90–0.94 for key radiographic parameters. The segmentation- and detection-based models achieved precision of 92.2%–96.9% and 91.7%–95.5%, and recall of 91.6%–94.8% and 93.3%–95.2%, respectively. Under the dual-positive condition, the integrated model yielded the highest precision (93.8%–97.3%), whereas the any-positive condition achieved the highest recall (94.1%–97.6%). Of 596 automatically generated structured reports, 557 (93.4%) were deemed clinically acceptable.
Conclusion
The proposed dual-mechanism DL framework enables accurate, multilesion assessment of lumbar degeneration and generation of clinically acceptable structured reports from plain radiographs, supporting workflow optimization in lumbar spine imaging.
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Review Article

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Assessing the Fractional Curve for Proper Management of Adult Degenerative Scoliosis
Neurospine. 2024;21(2):458-473.   Published online June 30, 2024
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Assessing the Fractional Curve for Proper Management of Adult Degenerative Scoliosis
Neurospine. 2024;21(2):458-473.   Published online June 30, 2024
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Adult degenerative scoliosis (ADS) is a coronal plane deformity often accompanied by sagittal plane malalignment. Surgical correction may involve the major and/or distally-located fractional curves (FCs). Correction of the FC has been increasingly recognized as key to ameliorating radicular pain localized to the FC levels. The present study aims to summarize the literature on the rationale for FC correction in ADS. Three databases were systematically reviewed to identify all primary studies reporting the rationale for correcting the FC in ADS. Articles were included if they were English full-text studies with primary data from ADS ( ≥ 18 years old) patients. Seventy-four articles were identified, of which 12 were included after full-text review. Findings suggest FC correction with long-segment fusion terminating at L5 increases the risk of distal junctional degeneration as compared to constructs instrumenting the sacrum. Additionally, circumferential fusion offers greater FC correction, lower reoperation risk, and shorter construct length. Minimally invasive surgery (MIS) techniques may offer effective radiographic correction and improve leg pain associated with foraminal stenosis on the FC concavity, though experiences are limited. Open surgery may be necessary to achieve adequate correction of severe, highly rigid deformities. Current data support major curve correction in ASD where the FC concavity and truncal shift are concordant, suggesting that the FC contributes to the patient’s overall deformity. Circumferential fusion and the use of kickstand rods can improve correction and enhance the stability and durability of long constructs. Last, MIS techniques show promise for milder deformities but require further investigation.

Citations

Citations to this article as recorded by  Crossref logo
  • The Impact of an Anterior Lumbar Interbody Fusion on Coronal Alignment in Adult Spinal Deformity Surgery
    Aiyush Bansal, Takeshi Fujii, Rafael Garcia de Oliveira, Philip K. Louie, Venu M. Nemani, Jean-Christophe Leveque, Rajiv K. Sethi
    Operative Neurosurgery.2026;[Epub]     CrossRef
  • Efficacy of Modified Transforaminal Lumbar Interbody Fusion in Three-Planar Correction for Severe Adult Spinal Deformity: Radiographic and Clinical Outcomes
    Truc Vu, Thai Hoang, Hanh Nguyen
    Orthopedic Research and Reviews.2026; Volume 18: 1.     CrossRef
  • How to view the effectiveness of spinal deformity surgery for adult degenerative scoliosis in octogenarian population? A comprehensive analysis and judgment
    Xiangyao Sun, Jiang Huang, Weiliang Wang, Limeng Gan, Li Cao, Yuqi Liu, Siyuan Sun, Juyong Wang, Shibao Lu
    Neurosurgical Review.2025;[Epub]     CrossRef
  • Clinical Results of Lumbar Foraminal Stenosis in Degenerative Lumbar Scoliosis With Uniportal Endoscopic Decompression
    Liu Yu-Hsin, Chen Chia-Hsien
    Journal of Minimally Invasive Spine Surgery and Technique.2025; 10(Suppl 2): S210.     CrossRef
  • Effectiveness of long-segment fixation versus short-segment fixation for treating adult degenerative scoliosis: A retrospective cohort study
    Zehua Jiang, Xuanhao Fu, Wenjun Du, Rusen Zhu
    Current Problems in Surgery.2025; 73: 101935.     CrossRef
  • 7,470 View
  • 200 Download
  • 4 Web of Science
  • 5 Crossref

Original Article

Special Issue on AI & Robotics

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Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs
Neurospine. 2024;21(1):30-43.   Published online March 31, 2024
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Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs
Neurospine. 2024;21(1):30-43.   Published online March 31, 2024
Close
Objective
This study aimed to develop and validate a deep learning (DL) algorithm for the quantitative measurement of thoracolumbar (TL) fracture features, and to evaluate its efficacy across varying levels of clinical expertise.
Methods
Using the pretrained Mask Region-Based Convolutional Neural Networks model, originally developed for vertebral body segmentation and fracture detection, we fine-tuned the model and added a new module for measuring fracture metrics—compression rate (CR), Cobb angle (CA), Gardner angle (GA), and sagittal index (SI)—from lumbar spine lateral radiographs. These metrics were derived from six-point labeling by 3 radiologists, forming the ground truth (GT). Training utilized 1,000 nonfractured and 318 fractured radiographs, while validations employed 213 internal and 200 external fractured radiographs. The accuracy of the DL algorithm in quantifying fracture features was evaluated against GT using the intraclass correlation coefficient. Additionally, 4 readers with varying expertise levels, including trainees and an attending spine surgeon, performed measurements with and without DL assistance, and their results were compared to GT and the DL model.
Results
The DL algorithm demonstrated good to excellent agreement with GT for CR, CA, GA, and SI in both internal (0.860, 0.944, 0.932, and 0.779, respectively) and external (0.836, 0.940, 0.916, and 0.815, respectively) validations. DL-assisted measurements significantly improved most measurement values, particularly for trainees.
Conclusion
The DL algorithm was validated as an accurate tool for quantifying TL fracture features using radiographs. DL-assisted measurement is expected to expedite the diagnostic process and enhance reliability, particularly benefiting less experienced clinicians.

Citations

Citations to this article as recorded by  Crossref logo
  • Artificial intelligence in spine surgery: a scoping review
    Anis Choucha, Morgane Evin, Matteo de Simone, Guillaume Dannhoff, Henry Dufour, Valentin Avinens, Kaissar Farah, Florian Saby, Stephane Fuentes
    Neurochirurgie.2026; 72(1): 101764.     CrossRef
  • Expectations of Orthopaedic Surgeons to Support Clinical Decision-making from a Radiologist’s Report: A Scoping Review
    Vibhu Krishnan Viswanathan, Vijay Kumar Jain, Subramanian Surabhi, Karthikeyan P. Iyengar
    Apollo Medicine.2026; 23(1): 46.     CrossRef
  • Who Is the Surgeon Now: Human Hands or Machine Minds? Artificial Intelligence in Orthopedics from Diagnosis to Follow-Up—A Structured Narrative Review
    Furkan Yapıcı
    Journal of Clinical Medicine.2026; 15(6): 2165.     CrossRef
  • Modified Spinous Process–Splitting Approach for Thoracolumbar Burst Fractures With Neurological Deficits: Technical Description and Preliminary Clinical Outcomes
    Kaixuan Chen, Yizhong Ma, Zihui Yang, Hongfeng Ruan, Guanyi Liu
    Orthopaedic Surgery.2026;[Epub]     CrossRef
  • Deep Learning-Assisted Lumbar Degeneration Evaluation Using Plain Radiographs: Development and Validation of a Novel Dual-Mechanism Architecture
    Ziqian Ma, Aobo Wang, Xingyu Liu, Ruiyuan Chen, Tianyi Wang, Yu Xi, Minghui Liang, Ning Fan, Shuo Yuan, Peng Du, Dong Liu, Yiling Zhang, Lei Zang
    Neurospine.2026; 23(2): 393.     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
  • Commentary on “Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs”
    Chao-Hung Kuo
    Neurospine.2024; 21(1): 44.     CrossRef
  • Application and Prospects of Deep Learning Technology in Fracture Diagnosis
    Jia-yao Zhang, Jia-ming Yang, Xin-meng Wang, Hong-lin Wang, Hong Zhou, Zi-neng Yan, Yi Xie, Peng-ran Liu, Zhi-wei Hao, Zhe-wei Ye
    Current Medical Science.2024; 44(6): 1132.     CrossRef
  • 6,428 View
  • 192 Download
  • 6 Web of Science
  • 8 Crossref

Case Report

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Rod Fracture Causing Relief of Back Pain That Developed After Adult Lumbar Degenerative Flat-Back Correction Surgery: A Case Report
Neurospine. 2019;16(4):789-792.   Published online December 9, 2019
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Rod Fracture Causing Relief of Back Pain That Developed After Adult Lumbar Degenerative Flat-Back Correction Surgery: A Case Report
Neurospine. 2019;16(4):789-792.   Published online December 9, 2019
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A 73-year-old woman underwent deformity correction surgery (anterior lumbar interbody fusion of L2-L3-L4-L5-S1, pedicle subtraction osteotomy at L4, and posterior screw fixation from T10 to the pelvis) due to lumbar degenerative flat-back. Following the operation, the patient experienced pain in her back and buttocks, for which she regularly took medications. She reported frequently feeling a heavy and stretched sensation of pain after the operation in those areas, which made her regret undergoing the operation. However, at 33 months postoperatively, she reported that one day, while getting up from a chair, she felt a crack in her back, which was followed by an improvement in her back and buttock pain; thereafter, she stopped taking pain medications. Follow-up radiography revealed a bilateral rod fracture at the L4–5 level on the right side and at the L3–4 level on the left side. The overall pelvic parameters, except pelvic incidence, slightly changed after the rod fracture. Therefore, the broken rod was replaced and another rod was added to the broken rod area; however, the changed pelvic parameters were not corrected further during the reoperation. Following the reoperation, the patient showed improvements and she no longer required pain medication.

Citations

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  • Commentary on “Characteristics and Risk Factors of Rod Fracture Following Adult Spinal Deformity Surgery: A Systematic Review and Meta-Analysis”
    Junseok Bae
    Neurospine.2021; 18(3): 455.     CrossRef
  • 8,475 View
  • 170 Download
  • 1 Web of Science
  • 1 Crossref

Clinical Article

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Comparison of Radiologic Outcomes of Different Methods in Single-Level Anterior Cervical Discectomy and Fusion
Korean J Spine. 2016;13(3):91-96.   Published online September 30, 2016
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Comparison of Radiologic Outcomes of Different Methods in Single-Level Anterior Cervical Discectomy and Fusion
Korean J Spine. 2016;13(3):91-96.   Published online September 30, 2016
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Objective

Anterior cervical discectomy and fusion (ACDF) is a choice of surgical procedure for cervical degenerative diseases associated with radiculopathy or myelopathy. However, the patients undergoing ACDF still have problems. The purpose of the present study is to evaluate the radiologic results of 3 different methods in single-level ACDF.

Methods

We conducted a retrospective collection of radiological data from January 2011 to December 2014. A total of 67 patients were included in this study. The patients were divided into 3 groups by operation procedure: using stand-alone cage (group cage, n=20); polyether-ether-ketone (PEEK)-titanium combined anchored cage (group AC, n=21); and anterior cervical cage-plate (group CP, n=26). Global cervical lordosis (C2-C7 Cobb angle), fused segment height, fusion rate, and cervical range of motion (ROM) were measured and analyzed at serial preoperative, postoperative, 6-month, and final 1-year follow-up.

Results

Successful bone fusion was achieved in all patients at the final follow-up examination; however, the loss of disc height over 3 mm at the surgical level was observed in 6 patients in group cage. Groups AC and CP yielded significantly better outcomes than group cage in fused segment height and cervical ROM(p=0.01 and p=0.02, respectively). Furthermore, group AC had similar radiologic outcomes to those of group CP.

Conclusion

The PEEK-titanium combined anchored cage may be a good alternative procedure in terms of reducing complications induced by plate after ACDF.

Citations

Citations to this article as recorded by  Crossref logo
  • Single-Level Anterior Cervical Discectomy and Interbody Fusion: A Comparison between Porous Tantalum and Polyetheretherketone Cages
    Edoardo Mazzucchi, Giuseppe La Rocca, Andrea Perna, Fabrizio Pignotti, Gianluca Galieri, Vincenzo De Santis, Pierluigi Rinaldi, Francesco Ciro Tamburrelli, Giovanni Sabatino
    Journal of Personalized Medicine.2022; 12(6): 986.     CrossRef
  • Comparison of the effectiveness and safety of bioactive glass ceramic to allograft bone for anterior cervical discectomy and fusion with anterior plate fixation
    Hyung Cheol Kim, Jae Keun Oh, Du Su Kim, Jeffrey S. Roh, Tae Woo Kim, Seong Bae An, Hyeong Seok Jeon, Dong Ah Shin, Seong Yi, Keung Nyun Kim, Do Heum Yoon, Yoon Ha
    Neurosurgical Review.2020; 43(5): 1423.     CrossRef
  • Radiological and Clinical Outcomes of Anterior Cervical Discectomy and Fusion in Older Patients: A Comparative Analysis of Young-Old Patients (Ages 65–74 Years) and Middle-Old Patients (Over 75 Years)
    Chi Hyung Lee, Dong Wuk Son, Su Hun Lee, Jun Seok Lee, Soon Ki Sung, Sang Weon Lee, Geun Sung Song
    Neurospine.2020; 17(1): 156.     CrossRef
  • Cost-Effectiveness Analysis of Cervical Anterior Fusion and Cervical Artificial Disc Replacement in the Korean Medical System
    Hyosang Lee, Ui Chul Kim, Jae Keun Oh, Taehyun Kim, Sohee Park, Yoon Ha
    Journal of Korean Neurosurgical Society.2019; 62(1): 83.     CrossRef
  • Comparison of Adjacent Segment Degeneration, Cervical Alignment, and Clinical Outcomes After One- and Multilevel Anterior Cervical Discectomy and Fusion
    Jun Jae Shin
    Neurospine.2019; 16(3): 589.     CrossRef
  • 10,588 View
  • 186 Download
  • 5 Crossref

Case Report

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Delayed or Missed Diagnosis of Cervical Instability after Traumatic Injury: Usefulness of Dynamic Flexion and Extension Radiographs
Korean J Spine. 2015;12(3):146-149.   Published online September 30, 2015
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Delayed or Missed Diagnosis of Cervical Instability after Traumatic Injury: Usefulness of Dynamic Flexion and Extension Radiographs
Korean J Spine. 2015;12(3):146-149.   Published online September 30, 2015
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Prompt and accurate diagnosis of cervical spine injury is important to prevent the catastrophic results that can be caused by undetected lesions. Delayed or missed diagnosis of cervical spine injury occurs with an incidence of 5 to 20% according to previous studies. In this study, we report four cases of cervical instability without initial radiologic evidence. These cases demonstrate that dynamic flexion and extension radiographies can be a proper choice of modality to diagnose and exclude the possibility of cervical instability in a patient with a suspicious ligament injury on the static radiographies following acute cervical trauma.

Citations

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  • Automated Metrics for the Diagnosis of Instability Between the 2nd and 7th Cervical Vertebrae
    John Hipp, Charles Reitman, Christopher Chaput, Mathew Gornet, Trevor Grieco
    Bioengineering.2026; 13(3): 258.     CrossRef
  • Delayed Presentation of a Cervical Spine Fracture: A Case Report
    Ahmed Mahmood, Moustafa Abouelkheir
    Cureus.2025;[Epub]     CrossRef
  • Documenting Cervical Spine Injuries Following Negative MRI Findings: Clinical and Medico-Legal Overview of Dynamic Imaging
    Leonard F Vernon, Adam Benn
    Cureus.2025;[Epub]     CrossRef
  • Diagnosis of Cervical Distractive-Flexion Injury Based on Minor Facet Fracture and Subtle Widening of the Facet Joint Space: A Case Report
    Akira Itoi, Hidetoshi Nojiri, Ryosuke Takahashi, Arihisa Shimura, Tomoya Kojou , Yuya Higashiura, Takahiro Ushimaki, Atsuhiko Mogami
    Cureus.2025;[Epub]     CrossRef
  • Raisonnement clinique et triage autour de l’instabilité cervicale haute
    Yan Duhourcau, Basil Lafitte-Houssat
    Kinésithérapie, la Revue.2024; 24(265): 31.     CrossRef
  • Cervical Spine Instability Screening Tool Thai Version: Assessment of Convergent Validity and Rater Reliability
    Chanyawat Rueangsri, Rungthip Puntumetakul, Arisa Leungbootnak, Surachai Sae-Jung, Thiwaphon Chatprem
    International Journal of Environmental Research and Public Health.2023; 20(17): 6645.     CrossRef
  • Traumatic Cervical Spine Injury
    Ankur Nanda, Sudhir Kumar Srivastava, Ajoy Prasad Shetty, Bharat R. Dave, Harvinder Singh Chhabra, Raymond Onders, Jitesh Manghwani, Nandan Amrit Marathe, R. Karthik, Mohit Navinchand Muttha
    Indian Spine Journal.2022; 5(1): 82.     CrossRef
  • Delayed Treatment of Traumatic Cervical Dislocation: A Case Report and Literature Review
    Fabian Roland Bechet, Pierre Stassen, Dan Scorpie, Thierry Della Siega, Eyal Itshayek
    Case Reports in Orthopedics.2022; 2022: 1.     CrossRef
  • Clinical algorithm for preventing missed diagnoses of occult cervical spine instability after acute trauma: A case report
    Ce Zhu, Hui-Liang Yang, Gi Hye Im, Li-Min Liu, Chun-Guang Zhou, Yue-Ming Song
    World Journal of Clinical Cases.2021; 9(33): 10369.     CrossRef
  • Feasibility and Safety of Cervical Kinematic Magnetic Resonance Imaging in Patients with Cervical Spinal Cord Injury without Fracture and Dislocation
    Yongzheng Bao, Xueren Zhong, Wengang Zhu, Yu Chen, Longze Zhou, Xiangheng Dai, Junjian Liao, Zhong Li, Konghe Hu, Kangsheng Bei, Yinghui Xiong, Yongyu Hu, Qinfu Zhao, Zhouxing Zhu, Yanli Yu, Qiang Wu, Xinhua Xi
    Orthopaedic Surgery.2020; 12(2): 570.     CrossRef
  • Delayed occurrence of C3 vertebra anterior subluxation diagnosed after surgery for epidural hematoma
    Masatoshi Yunoki, Takahiro Kanda, Kenta Suzuki, Atsuhito Uneda, Koji Hirashita, Kimihiro Yoshino
    Asian Journal of Neurosurgery.2018; 13(03): 870.     CrossRef
  • Recurrent Neurological Deterioration after Conservative Treatment for Acute Traumatic Central Cord Syndrome without Bony Injury: Seventeen Operative Case Reports
    Wenjie Jin, Xin Sun, Kangping Shen, Jia Wang, Xingzhen Liu, Xiushuai Shang, Hairong Tao, Tong Zhu
    Journal of Neurotrauma.2017; 34(21): 3051.     CrossRef
  • 20,653 View
  • 179 Download
  • 12 Crossref

Clinical Articles

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Cervical Sagittal Alignment Parameters of Patients Admitted to Neurosurgery and Emergency Clinics in a State Hospital at Eastern Part of Turkey
Korean J Spine. 2015;12(2):75-78.   Published online June 30, 2015
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Cervical Sagittal Alignment Parameters of Patients Admitted to Neurosurgery and Emergency Clinics in a State Hospital at Eastern Part of Turkey
Korean J Spine. 2015;12(2):75-78.   Published online June 30, 2015
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Objective

Cervical spine encompasses a bridge role between the head and the lower parts of the spine and therefore has unique properties. Our aim in this study was to evaluate the cervical sagittal alignment parameters in pediatric and adult non-surgical patients and to find any differences in respect of age, sex and admission type.

Methods

All patients who were admitted to emergency and neurosurgery clinics of Diyarbakir Bismil State Hospital due to cervical spine problems (trauma, radiculopathy, paraspinal pain) in 2014 were enrolled retrospectively into the study. Cervical anterior-posterior and lateral X-rays were obtained. Our exclusion criteria were cervical coronal deformity, multitrauma, Glasgow Coma Scale <15, traumatic disruption of the cervical spine, history of malignancy, spinal infection, metabolic or rheumatologic diseases.

Results

There were 44 female and 55 male patients (n=99) in the study. Thirty-five (35.35%) of the patients were younger than 18 years of age. Mean cervical spinal alignment parameters were as follows: -42.81±11.23° (OC2), -17.15±11.48° (C2-C7), -29.82±7.60° (T1 slope), -3.62±3.05° (C3), -3.14±3.05 (C4), -3.80±2.74° (C5), -3.12±2.36° (C6), -3.43±2.53° (C7). Positive correlations were observed between age-C2C7 angle, C2C7 angle-T1 slope, C3 angle-C4 angle, C4 angle-OC2 angle, C4 angle-T1 slope, C4 angle-C5 angle. The one only negative correlation was between OC2 angle-C2C7 angle.

Conclusion

In this regional study, it has been observed that global cervical lordosis increases as age increases. C4 vertebra is in the middle of this evaluation as it has many correlations with other cervical segments, which should be kept in mind when making surgical plans for this delicate spine region.

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Diagnosis of Cervical OPLL in Lateral Radiograph and MRI: Is it Reliable?
Korean J Spine. 2012;9(3):205-208.   Published online September 30, 2012
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Diagnosis of Cervical OPLL in Lateral Radiograph and MRI: Is it Reliable?
Korean J Spine. 2012;9(3):205-208.   Published online September 30, 2012
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Objective

Cervical OPLL is a relatively common cause of developing cervical myelopathy or radiculopathy in Asians. Cervical OPLL is sometimes missed in lateral radiography or MRI. In the present study, we analyzed the diagnostic accuracy of cervical OPLL in lateral radiography and MRI compared to CT scan.

Methods

This is a retrospective study of forty-six patients who underwent decompressive surgery anteriorly or posteriorly in our institute. All patients were diagnosed with cervical OPLL by CT scan. The patients were grouped into continuous type, segmental type, mixed type, and localized type. We then evaluated lateral radiographs and MRI compared to CT scans. The diagnostic accuracy and false negative rates in lateral radiograph and MRI were evaluated.

Results

In a total of 46 patients diagnosed with cervical OPLL in CT scans, diagnostic accuracy using lateral radiograph and MRI were 52.2%(24/46) and 58.7%(27/46), respectively. In the continuous type group, diagnostic accuracy using lateral radiograph and MRI were 85.7%(6/7) and 100.0%(7/7). In the segmental type group, diagnostic accuracy using lateral radiograph and MRI were 27.3%(6/22) and 31.8%(7/22). In the mixed type group, diagnostic accuracy was 91.7%(11/12) in lateral radiograph and 83.3%(10/12) in MRI. In the localized group, diagnostic accuracy was 20.0%(1/5) in lateral radiograph and 60.0%(3/5) in MRI.

Conclusion

The diagnostic accuracy of cervical OPLL using lateral radiograph and MRI was less than using CT scan. For the best treatment plan, preoperative CT scan should be performed to detect conditions of ossifications such as cervical OPLL.

Citations

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