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"Chao-Hung Kuo"

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"Chao-Hung Kuo"

Original Article

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The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Neurospine. 2024;21(2):665-675.   Published online June 30, 2024
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The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Neurospine. 2024;21(2):665-675.   Published online June 30, 2024
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Objective
This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans.
Methods
Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness.
Results
The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements.
Conclusion
Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Citations

Citations to this article as recorded by  Crossref logo
  • External validation of SpineNetv2 deep learning system for automated lumbar spine MRI analysis: A multi-pathology diagnostic agreement study
    Xingkai Wu, Qianbo Song, Jiaxiang Zhou, Zhiyu Zhou, Guangru Cao, Kebing Jin, Qian Du
    European Spine Journal.2026; 35(3): 1238.     CrossRef
  • Enhancing lumbar disc herniation classification through region-of-interest guidance and geometric shape features
    Cong Zhang, Kunjin He, Wei Xu, Xiaoqing Gu, Zhengming Chen, Yiping Weng
    Biomedical Physics & Engineering Express.2026; 12(1): 015038.     CrossRef
  • Deep learning for lumbar spine segmentation in magnetic resonance imaging—A systematic review
    Diogo Mendes, João Manuel R.S. Tavares
    Biomedical Signal Processing and Control.2026; 118: 109700.     CrossRef
  • Clinical Application of Deep Learning for Spine MRI Interpretation: A Multicenter Evaluation of Artificial-Intelligence-Assisted versus Manual Reading on Diagnostic Agreement with the Reference Standard
    Xing Cheng, Maoping Zhang, Zhenxiao Ren, Tang Tang, Xiaolin Meng, Zhong Huang, Hongwei Bran Li, Weiguo Li, Qiuchan Yan, Haixiong Chen, Jie Jia, Ce Wang, Cheng Li, Chunshan Yang, Guifeng Shi, Guohua Li, Kaixin Zeng, Wei Chen, Haoxuan Gao, Xiaobo Wang, Xin
    Research.2026;[Epub]     CrossRef
  • Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation
    Sheng Lian, Jianlong Cai, Dengfeng Pan, Guang-Yong Chen, Hao Xu, Fan Zhang, Guodong Fan, Jialun Pei, Shuo Li
    International Journal of Computer Vision.2026;[Epub]     CrossRef
  • Automated Quantitative Analysis of the Lumbar Spine: a Comprehensive Approach
    Purushottam Kumar, Suyash Singh, Bunil Kumar Balabantaray, Rajashree Nayak
    Journal of Imaging Informatics in Medicine.2025; 39(1): 229.     CrossRef
  • Taiwan’s Smart Healthcare Value Chain: AI Innovation from R&D to Industry Deployment
    Tzu-Min Lin, Hui-Wen Yang, Ching-Cheng Han, Chih-Sheng Lin
    Healthcare.2025; 14(1): 23.     CrossRef
  • 8,425 View
  • 177 Download
  • 8 Web of Science
  • 7 Crossref

Commentarys

Special Issue on AI & Robotics

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Commentary on “Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs”
Neurospine. 2024;21(1):44-45.   Published online March 31, 2024
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Commentary on “Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs”
Neurospine. 2024;21(1):44-45.   Published online March 31, 2024
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Commentary on “Simultaneous Single-Position Oblique Lateral Interbody Fusion Combined With Unilateral Percutaneous Pedicle Screw Fixation for Single-Level Lumbar Tuberculosis: A 3-Year Retrospective Comparative Study”
Neurospine. 2023;20(4):1319-1320.   Published online December 31, 2023
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Commentary on “Simultaneous Single-Position Oblique Lateral Interbody Fusion Combined With Unilateral Percutaneous Pedicle Screw Fixation for Single-Level Lumbar Tuberculosis: A 3-Year Retrospective Comparative Study”
Neurospine. 2023;20(4):1319-1320.   Published online December 31, 2023
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  • 3,604 View
  • 124 Download

Original Articles

CSRS Special Issue

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Measurement of Deformity at the Craniovertebral Junction: Correlation of Triangular Area and Myelopathy
Neurospine. 2022;19(4):889-895.   Published online December 31, 2022
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Measurement of Deformity at the Craniovertebral Junction: Correlation of Triangular Area and Myelopathy
Neurospine. 2022;19(4):889-895.   Published online December 31, 2022
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Objective
Diseases of the craniovertebral junction (CVJ) are commonly associated with deformity, malalignment, and subsequent myelopathy. The misaligned CVJ might cause compression of neuronal tissues and subsequently clinical symptoms. The triangular area (TA), measured by magnetic resonance imaging/images (MRI/s), is a novel measurement for quantification of the severity of compression to the brain stem. This study aimed to assess the normal and pathological values of TA by a comparison of patients with CVJ disease to age- and sex-matched controls. Moreover, postoperative TAs were correlated with outcomes.
Methods
Consecutive patients who underwent surgery for CVJ disease were included for comparison to an age- and sex-matched cohort of normal CVJ persons as controls. The demographics, perioperative information, and pre- and postoperative 2-year cervical MRIs were collected for analysis. Cervical TAs were measured and compared.
Results
A total of 201 patients, all of whom had pre- or postoperative MRI, were analyzed. The TA of the CVJ deformity group was larger than the healthy control group (1.62 ± 0.57 cm2 vs. 1.01 ± 0.18 cm2, p < 0.001). Moreover, patients who had combined anterior odontoidectomy and posterior laminectomy with fixation had the greatest reduction in the TA (1.18 ± 0.58 cm2).
Conclusion
In CVJ deformity, the measurement of the cervical TA could indicate the severity of brain stem compression. After surgery, the TA had a varying degree of improvement, which could represent the efficacy of surgery.

Citations

Citations to this article as recorded by  Crossref logo
  • 3D printing enabled biomechanical evaluation of a novel expandable wedge spacer for atlantoaxial reduction
    Chih-Chang Chang, Shao-Fu Huang, Rong-Chen Lin, Chun-Li Lin
    3D Printing in Medicine.2026;[Epub]     CrossRef
  • Prognostic Factors in Craniocervical Realignment for Craniovertebral Junction Kyphosis With Negative Cervical Imbalance: A Comprehensive Study
    Dong Hun Kim, Jae Taek Hong, Jin Young Kim, Kang Bin Koo, Dae Hee Lee, Jung Woo Hur, Ho Jin Lee, Il Sup Kim
    Neurospine.2025; 22(3): 725.     CrossRef
  • Evaluation of Cervicomedullary Compression Around the Craniovertebral Junction: Commentary on “Measurement of Deformity at the Craniovertebral Junction: Correlation of Triangular Area and Myelopathy”
    Jae Taek Hong
    Neurospine.2022; 19(4): 896.     CrossRef
  • 6,655 View
  • 229 Download
  • 3 Web of Science
  • 3 Crossref

APCSS special Topic-Craniovertebral Junction Surgery

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Suture Repair in Endoscopic Surgery for Craniovertebral Junction
Neurospine. 2019;16(2):257-266.   Published online June 30, 2019
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Suture Repair in Endoscopic Surgery for Craniovertebral Junction
Neurospine. 2019;16(2):257-266.   Published online June 30, 2019
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Objective
Endoscopic approaches to the craniovertebral junction (CVJ) have been established as viable and effective surgical treatments in the past decade. One of the major complications is leakage of the cerebrospinal fluid (CSF). This study aimed to investigate the efficacy and feasibility of suture closure at the nasopharyngeal mucosa upon durotomy.
Methods
A series of consecutive patients who underwent different endoscopic approaches to the CVJ were retrospectively reviewed. The pathologies, surgical corridors, neurological and functional outcomes, radiological evaluations, and complications were analyzed. Different strategies of repair for the intraoperative CSF leakage were described and compared.
Results
A total of 22 patients covering 13 years were analyzed. There were 12, 2, and 8 patients who underwent transnasal, transoral, and combined approaches, respectively. There were 8 patients (36.4%) who experienced intraoperative CSF leakage, and were grouped into 2: 4 in the nonsuture (NS) group and 4 in the suture-repaired (SR) group. The NS group had 3 (75%) persistent CSF leakages postoperation that caused 1 mortality, whereas patients of the SR group had only 1 minor CSF rhinorrhea that healed spontaneously within days.
Conclusion
In this series of 22 patients who required anterior endoscopic resection of pathologies at the CVJ, there was 1 (4.5%) serious complication related to CSF leakage. For patients who had no durotomy, the mucosal incision at the nasopharynx usually healed rapidly and there were few procedure-related complications. For patients with intraoperative CSF leakage, suture closure was technically challenging but could significantly lower the risks of postoperative complications.

Citations

Citations to this article as recorded by  Crossref logo
  • Surgical treatment and clinical outcome in non-inflammatory atlantoaxial degeneration and retro-odontoid pseudotumor
    Raimunde Liang, Bernhard Meyer, Vicki M. Butenschoen
    Brain and Spine.2025; 5: 105621.     CrossRef
  • Navigated Anterior Full-Endoscopic Transcervical Approach Odontoidectomy for Traumatic Posterior Atlantoaxial Dislocation Without Odontoid Fracture
    Juan Felipe Abaunza-Camacho, Sara Gomez-Niebles, Humberto Madrinan-Navia, Alberto Daza-Ovalle, Natalia Guevara-Moriones, Mario Fernando Rodríguez, Jorge Torres Mancera, Camilo Peña, William Mauricio Riveros-Castillo, Javier M. Saavedra
    Operative Neurosurgery.2024; 27(5): 641.     CrossRef
  • Minimally invasive surgery for invaginated CII odontoid process
    A.N. Shkarubo, I.V. Chernov, D.N. Andreev, N.A. Konovalov, M.E. Sinelnikov
    Burdenko's Journal of Neurosurgery.2023; 87(3): 5.     CrossRef
  • Comparative analysis of endoscopic transnasal and microsurgical transoral odontoidectomy: Literature review and own experience
    Alexey N. Shkarubo, Anton G. Nazarenko, Ilya V. Chernov, Dmitry N. Andreev, Alexandr A. Kuleshov, Nikolai A. Konovalov, Igor N. Lisyanskiy, Mikhail E. Sinelnikov
    N.N. Priorov Journal of Traumatology and Orthopedics.2023; 30(1): 41.     CrossRef
  • Endoscopic Transnasal Odontoidectomy for Ventral Decompression of the Craniovertebral Junction: Surgical Technique and Clinical Outcome in a Case Series of 19 Patients
    Vicki M Butenschoen, Maria Wostrack, Bernhard Meyer, Jens Gempt
    Operative Neurosurgery.2021; 20(1): 24.     CrossRef
  • Nonrheumatoid Retro-Odontoid Pseudotumors: Characteristics, Surgical Outcomes, and Time-Dependent Regression After Posterior Fixation
    Ryoko Niwa, Keisuke Takai, Makoto Taniguchi
    Neurospine.2021; 18(1): 177.     CrossRef
  • 10,487 View
  • 148 Download
  • 4 Web of Science
  • 6 Crossref

Case Report

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Anterior Cervical Discectomy and Fusion for Hirayama Disease: A Case Report and Literature Review
Neurospine. 2019;16(3):626-630.   Published online January 4, 2019
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Anterior Cervical Discectomy and Fusion for Hirayama Disease: A Case Report and Literature Review
Neurospine. 2019;16(3):626-630.   Published online January 4, 2019
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Hirayama disease, a juvenile muscular atrophy of the distal upper extremity, is a rare form of cervical flexion myelopathy characterized by insidiously progressive weakness of the hands and forearm muscles (i.e., painless amyotrophy). The pathognomonic finding is a markedly forward-shifted spinal cord during neck flexion, demonstrated by dynamic magnetic resonance imaging (MRI), as in a young man with muscle atrophy in the bilateral distal upper extremities. In this report, the authors describe a 31-year-old man who had the classic radiological and clinical presentations of Hirayama disease. Since prior medical treatment had been ineffective for years, he underwent multilevel instrumented anterior cervical discectomy and fusion (ACDF) to keep his subaxial cervical spine slightly-lordotic (nonflexion). His motor evoked potential amplitude improved immediately during the operation, and there were improvements of myelopathy and a modest reversal of muscle wasting at 1 year postoperatively. Postoperative dynamic cervical spine MRI also demonstrated minimal cord compression and elimination of the venous plexus engorgement dorsal to the thecal sac. Although Hirayama disease is benign in nature and frequently self-limiting, multilevel instrumented ACDF could be a reasonable management option.

Citations

Citations to this article as recorded by  Crossref logo
  • Hirayama Disease and Its Management: Experience of a Tertiary Care Center in Eastern India
    Selvin Prabhakar Vijayan, Christopher Gerber, Anindya Basu, Mona Tiwari, Tosaddeque M. D. Hussain, Jacky Ganguly
    Indian Spine Journal.2025; 8(1): 26.     CrossRef
  • Anterior cervical discectomy and fusion for the treatment of pediatric Hirayama disease
    Marc Prablek, Gabriel Reyes, Varun Kannan, Charles T. Gay, Timothy E. Lotze, Daniel A. Donoho, David F. Bauer
    Child's Nervous System.2024; 40(5): 1427.     CrossRef
  • Phenotypic, Electrophysiologic, and Imaging Spectrum of Hirayama Disease from Northern India
    Saranya B Gomathy, Yamini Priyanka, Ajay Garg, William L Macken, Ayush Agarwal, Tanveer Ahmed, Rohit Bhatia, Vinay Goel, Kanwaljeet Garg, Robert DS Pitceathly, Mary M Reilly, Michael G Hanna, MV Padma Srivastava, Venugopalan Y Vishnu
    Annals of Indian Academy of Neurology.2024; 27(5): 524.     CrossRef
  • Surgical Management of Hirayama Disease (Monomelic Amyotrophy): Systematic Review and Meta-Analysis of Patient-Level Data
    Zach Pennington, Nikita Lakomkin, Giorgos D. Michalopoulos, Anthony L. Mikula, Edward S. Ahn, Mohamad Bydon, Michelle J. Clarke, Benjamin D. Elder, Jeremy L. Fogelson
    World Neurosurgery.2023; 172: e278.     CrossRef
  • Update on the Pathogenesis, Clinical Diagnosis, and Treatment of Hirayama Disease
    Hongwei Wang, Ye Tian, Jianwei Wu, Sushan Luo, Chaojun Zheng, Chi Sun, Cong Nie, Xinlei Xia, Xiaosheng Ma, Feizhou Lyu, Jianyuan Jiang, Hongli Wang
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Hirayama Disease: Review on Pathophysiology, Clinical Features, Diagnosis and Treatment
    Saranya B Gomathy, Ayush Agarwal, Ajay Garg, Venugopalan Y Vishnu
    US Neurology.2022; 18(2): 109.     CrossRef
  • Hirayama Disease: An Important Cause of Focal Hand Weakness in Young Adults
    Nan Jiang, Eroboghene E. Ubogu
    Journal of Investigative Medicine High Impact Case Reports.2021;[Epub]     CrossRef
  • Impact of various cervical surgical interventions in patients with Hirayama’s disease—a narrative review and meta-analysis
    Sandeep Bohara, Kanwaljeet Garg, Shashwat Mishra, Vivek Tandon, P. Sarat Chandra, Shashank Sharad Kale
    Neurosurgical Review.2021; 44(6): 3229.     CrossRef
  • The Relationship Between Preoperative Cervical Sagittal Balance and Clinical Outcome of Patients With Hirayama Disease Treated With Anterior Cervical Discectomy and Fusion
    Xiao Lu, Guang-Yu Xu, Cong Nie, Yu Xuan Zhang, Jian Song, Jian-Yuan Jiang
    Neurospine.2021; 18(3): 618.     CrossRef
  • Markedly improved function in severe Hirayama disease by anterior cervical fusion: A case report
    Kenji Yagi, Keita Kinoshita, Keijirou Hara, Shunji Matsubara, Masaaki Uno
    Interdisciplinary Neurosurgery.2020; 21: 100738.     CrossRef
  • Hirayama Disease Treated by Anterior Cervical Diskectomy and Fusion: Case Report and Literature Review
    Jiaquan Luo, Kanghua Yang, Yanchun Zhong, Yongjun Ye, Chunlin Xiao, Qingshen Zeng, Wenchao Yin, Weimin Huang, Wuyang Liu
    World Neurosurgery.2020; 141: 171.     CrossRef
  • Dynamic Cord Compression Causing Cervical Myelopathy
    Andrei Fernandes Joaquim, Griffin R. Baum, Lee A. Tan, K. Daniel Riew
    Neurospine.2019; 16(3): 448.     CrossRef
  • 13,572 View
  • 309 Download
  • 16 Web of Science
  • 12 Crossref