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Degenerative Cervical Myelopathy

Goel A

  • Neurospine.
  • 2019 Dec;16(4):793-795.
  • doi: 10.14245/ns.1938384.192
No abstract available.
Rod Fracture Causing Relief of Back Pain That Developed After Adult Lumbar Degenerative Flat-Back Correction Surgery: A Case Report

Choi JH, Jang JS, Jang IT

  • Neurospine.
  • 2019 Dec;16(4):789-792.
  • doi: 10.14245/ns.1836198.099
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...
Complications of Spine Surgery in Elderly Japanese Patients: Implications for Future of World Population Aging

Umekawa M, Takai K, Taniguchi

  • Neurospine.
  • 2019 Dec;16(4):780-788.
  • doi: 10.14245/ns.1938184.092
OBJECTIVE: To analyze the relationship between age and perioperative complications of spine surgery in a Japanese cohort with the longest average life expectancy in the world. METHODS: Patients with spinal stenosis...
Impact of Iliac Crest Bone Grafting on Postoperative Outcomes and Complication Rates Following Minimally Invasive Transforaminal Lumbar Interbody Fusion

Haws BE, Khechen B, Patel DV, Yoo JS, Guntin JA, Cardinal K, Ahn J, Singh K

  • Neurospine.
  • 2019 Dec;16(4):772-779.
  • doi: 10.14245/ns.1938006.003
OBJECTIVE: The relationship between bone graft technique and postoperative outcomes for minimally invasive transforaminal lumbar interbody fusion (MIS TLIF) has not been well-defined. This study aims to determine the effect...
Spine Surgeons Are Facing the Great Challenge of Contributing to the Realization of a Society of Health and Longevity

Takami T

  • Neurospine.
  • 2019 Dec;16(4):770-771.
  • doi: 10.14245/ns.19edi.019
No abstract available.
Is Spinal Surgery Safe for Elderly Patients Aged 80 and Above? Predictors of Mortality and Morbidity in an Asian Population

Tan JY, Kaliya-Perumal AK, Oh JY

  • Neurospine.
  • 2019 Dec;16(4):764-769.
  • doi: 10.14245/ns.1836336.168
OBJECTIVE: We aimed to determine the 2-year mortality and morbidity rates following spine surgery in elderly patients (age ≥80 years) and to study the associated risk factors. METHODS: The records of...
High Prevalence of Multifocal Spine Infections Involving the Cervical and Thoracic Regions: A Case for Imaging the Entire Spine

Balcescu C, Odeh K, Rosinski A, Wang J, Prasad P, Leasure J, Ungurean V, Kondrashov D

  • Neurospine.
  • 2019 Dec;16(4):756-763.
  • doi: 10.14245/ns.1836296.148
OBJECTIVE: Pyogenic spinal infections account for 2%–4% of orthopaedic infections. They are often difficult to diagnose, resulting in a delay in diagnosis. Risk factors for orthopaedic and spinal infection are...
Morphometry of the Uncinate Process, Vertebral Body, and Lamina of the C3–7 Vertebrae Relevant to Cervical Spine Surgery

Raveendranath V, Kavitha T, Umamageswari A

  • Neurospine.
  • 2019 Dec;16(4):748-755.
  • doi: 10.14245/ns.1836272.136
OBJECTIVE: The cervical spine consists of 4 typical and 3 atypical vertebrae. The uncinate process is one of the unique features of the cervical vertebrae. Uncinectomy and uncoforaminotomy are widely...
A Radiological Study of the Association of Facet Joint Tropism and Facet Angulation With Degenerative Spondylolisthesis

Rai RR, Shah Y, Shah S, Palliyil N, Dalvie S

  • Neurospine.
  • 2019 Dec;16(4):742-747.
  • doi: 10.14245/ns.1836232.116
OBJECTIVE: To study the association of facet joint angulation and joint tropism with degenerative spondylolisthesis (DS) through a comparison with a matched control group. METHODS: This radiographic study was carried out...
Acidic Fibroblast Growth Factor in Spinal Cord Injury: A Potential Therapy Which Merits Further Investigation

Yokota K, Fehlings M

  • Neurospine.
  • 2019 Dec;16(4):739-741.
  • doi: 10.14245/ns.19edi.018
No abstract available.
Acidic Fibroblast Growth Factor in Spinal Cord Injury

Ko CC, Tu TH, Wu JC, Huang WC, Cheng H

  • Neurospine.
  • 2019 Dec;16(4):728-738.
  • doi: 10.14245/ns.1836216.108
Spinal cord injury (SCI), with an incidence rate of 246 per million person-years among adults in Taiwan, remains a devastating disease in the modern day. Elderly men with lower socioeconomic...
Towards Guideline-Based Management of Tethered Cord Syndrome in Spina Bifida: A Global Health Paradigm Shift in the Era of Prenatal Surgery

Bradko V, Castillo H, Janardhan , Dahl B, Gandy K, Castillo J

  • Neurospine.
  • 2019 Dec;16(4):715-727.
  • doi: 10.14245/ns.1836342.171
An estimated 60% of the world's population lives in Asia, where the incidence of neural tube defects is high. Aware that tethered cord syndrome (TCS) is an important comorbidity, the...
Improving the Patient-Physician Relationship in the Digital Era - Transformation From Subjective Questionnaires Into Objective Real-Time and Patient-Specific Data Reporting Tools

Maldaner N, Desai A, Gautschi O, Regli L, Ratliff JK, Park J, Stienen MN

  • Neurospine.
  • 2019 Dec;16(4):712-714.
  • doi: 10.14245/ns.1938400.200
No abstract available.
Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives

Nam KH, Kim DH, Choi BK, Han IH

  • Neurospine.
  • 2019 Dec;16(4):705-711.
  • doi: 10.14245/ns.1938388.194
Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical...
Commentary on An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images

Cheung KM

  • Neurospine.
  • 2019 Dec;16(4):703-704.
  • doi: 10.14245/ns.1938438.219
No abstract available.
An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images

Watanabe K, Aoki Y, Matsumoto

  • Neurospine.
  • 2019 Dec;16(4):697-702.
  • doi: 10.14245/ns.1938426.213
The use of artificial intelligence (AI) as a tool supporting the diagnosis and treatment of spinal diseases is eagerly anticipated. In the field of diagnostic imaging, the possible application of...
Commentary: Artificial Intelligence for Adult Spinal Deformity

Lenke LG

  • Neurospine.
  • 2019 Dec;16(4):695-696.
  • doi: 10.14245/ns.19edi.020
No abstract available.
Artificial Intelligence for Adult Spinal Deformity

Joshi RS, Haddad AF, Lau D, Ames CP

  • Neurospine.
  • 2019 Dec;16(4):686-694.
  • doi: 10.14245/ns.1938414.207
Adult spinal deformity (ASD) is a complex disease that significantly affects the lives of many patients. Surgical correction has proven to be effective in achieving improvement of spinopelvic parameters as...
Predictive Modeling of Outcomes After Traumatic and Nontraumatic Spinal Cord Injury Using Machine Learning: Review of Current Progress and Future Directions

Khan O, Badhiwala , Wilson JR, Jiang F, Martin AR, Fehlings M

  • Neurospine.
  • 2019 Dec;16(4):678-685.
  • doi: 10.14245/ns.1938390.195
Machine learning represents a promising frontier in epidemiological research on spine surgery. It consists of a series of algorithms that determines relationships between data. Machine learning maintains numerous advantages over...
Predictive Analytics in Spine Oncology Research: First Steps, Limitations, and Future Directions

Massaad E, Fatima N, Hadzipasic M, Alvarez-Breckenridge C, Shankar GM, Shin JH

  • Neurospine.
  • 2019 Dec;16(4):669-677.
  • doi: 10.14245/ns.1938402.201
The potential of big data analytics to improve the quality of care for patients with spine tumors is significant. At this moment, the application of big data analytics to oncology...

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