| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT
|
Hallinan, James Thomas Patrick Decourcy
|
|
|
32 |
11 |
p. 3815-3824
|
artikel
|
| 2 |
Adolescent idiopathic scoliosis is associated with muscle area asymmetries in the lumbar spine
|
Becker, Luis
|
|
|
32 |
11 |
p. 3979-3986
|
artikel
|
| 3 |
Announcement
|
|
|
|
32 |
11 |
p. 4076
|
artikel
|
| 4 |
A nomogram prediction model for refracture in elderly patients with osteoporotic vertebral compression fractures after percutaneous vertebroplasty
|
Ju, Gang
|
|
|
32 |
11 |
p. 3919-3926
|
artikel
|
| 5 |
Answer to the Letter to the Editor of T. Sugita et al. concerning "Alterations of 3D acetabular and lower limb parameters in adolescent idiopathic scoliosis" by Karam M, et al. (Eur Spine J [2020]; 29(8):2010–2017): Does windswept deformity of the knee exist in 274 participants with adolescent idiopathic scoliosis?
|
Karam, Mohamad
|
|
|
32 |
11 |
p. 4074-4075
|
artikel
|
| 6 |
Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and meta-analysis
|
Compte, Roger
|
|
|
32 |
11 |
p. 3764-3787
|
artikel
|
| 7 |
Characteristics of paraspinal muscle degeneration in patients with adult degenerative scoliosis
|
Zhou, Mengmeng
|
|
|
32 |
11 |
p. 4020-4029
|
artikel
|
| 8 |
Deep learning-based high-accuracy detection for lumbar and cervical degenerative disease on T2-weighted MR images
|
Yi, Wei
|
|
|
32 |
11 |
p. 3807-3814
|
artikel
|
| 9 |
Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification
|
Ito, Sadayuki
|
|
|
32 |
11 |
p. 3797-3806
|
artikel
|
| 10 |
Deep phenotyping the cervical spine: automatic characterization of cervical degenerative phenotypes based on T2-weighted MRI
|
Niemeyer, Frank
|
|
|
32 |
11 |
p. 3846-3856
|
artikel
|
| 11 |
Developing a new tool for scoliosis screening in a tertiary specialistic setting using artificial intelligence: a retrospective study on 10,813 patients: 2023 SOSORT award winner
|
Negrini, Francesco
|
|
|
32 |
11 |
p. 3836-3845
|
artikel
|
| 12 |
Development of personalized machine learning-based prediction models for short-term postoperative outcomes in patients undergoing cervical laminoplasty
|
Karabacak, Mert
|
|
|
32 |
11 |
p. 3857-3867
|
artikel
|
| 13 |
Distal fusion level, complications, and reoperations in individuals with cerebral palsy undergoing surgery for scoliosis
|
Green-Petersen, I.
|
|
|
32 |
11 |
p. 4037-4044
|
artikel
|
| 14 |
Efficacy of two opportunistic methods for screening osteoporosis in lumbar spine surgery patients
|
Xu, Ting-Ting
|
|
|
32 |
11 |
p. 3912-3918
|
artikel
|
| 15 |
Evaluation of cerebellum volume and trunk oscillation velocity in cases with adolescent idiopathic scoliosis: a preliminary report
|
Batin, Sabri
|
|
|
32 |
11 |
p. 4012-4019
|
artikel
|
| 16 |
Impact of mental health components on the development of back pain in young adults with adolescent idiopathic scoliosis
|
Lau, Kenney Ki Lee
|
|
|
32 |
11 |
p. 3970-3978
|
artikel
|
| 17 |
Incidence of genitourinary anomalies in congenital scoliosis: systematic review and meta-analysis
|
Lorente, Rafael
|
|
|
32 |
11 |
p. 3961-3969
|
artikel
|
| 18 |
Learning curve across 2000 thoracolumbar pedicle screw placements using O-arm navigation: technical difficulties and their solutions
|
Hadgaonkar, Shailesh
|
|
|
32 |
11 |
p. 3753-3763
|
artikel
|
| 19 |
Letter to the Editor concerning "Alterations of 3D acetabular and lower limb parameters in adolescent idiopathic scoliosis" by Karam M, et al. (Eur Spine J [2020]; 29(8):2010–2017): Does windswept deformity of the knee exist in 274 participants with adolescent idiopathic scoliosis?
|
Sugita, Takehiko
|
|
|
32 |
11 |
p. 4073
|
artikel
|
| 20 |
L1-pelvic angle: a convenient measurement to attain optimal deformity correction
|
Chanbour, Hani
|
|
|
32 |
11 |
p. 4003-4011
|
artikel
|
| 21 |
Machine-learning-based approach for nonunion prediction following osteoporotic vertebral fractures
|
Takahashi, Shinji
|
|
|
32 |
11 |
p. 3788-3796
|
artikel
|
| 22 |
Machine learning for the prediction of postoperative nosocomial pulmonary infection in patients with spinal cord injury
|
Li, Meng-Pan
|
|
|
32 |
11 |
p. 3825-3835
|
artikel
|
| 23 |
MRI-based radiomics assessment of the imminent new vertebral fracture after vertebral augmentation
|
Cai, Jinhui
|
|
|
32 |
11 |
p. 3892-3905
|
artikel
|
| 24 |
Patient characteristics, surgical treatment, and outcomes in spinal gout: a systematic review of 315 cases
|
Harlianto, Netanja I.
|
|
|
32 |
11 |
p. 3697-3703
|
artikel
|
| 25 |
Predictive factors for conversion from conservatively to surgically treatment osteoporotic thoracolumbar compression fractures based on sagittal parameters and magnetic resonance imaging features
|
Sung, Hoon-Seok
|
|
|
32 |
11 |
p. 3933-3940
|
artikel
|
| 26 |
Pre-operative prediction of post-operative urinary retention in lumbar surgery: a prospective validation of machine learning model
|
Porche, Ken
|
|
|
32 |
11 |
p. 3868-3874
|
artikel
|
| 27 |
Prevalence and consequences of spinal pain among people with type 1 and type 2 diabetes mellitus in Denmark
|
Liaghat, Behnam
|
|
|
32 |
11 |
p. 3744-3752
|
artikel
|
| 28 |
Publication retraction in spine surgery: a systematic review
|
Levett, Jordan J.
|
|
|
32 |
11 |
p. 3704-3712
|
artikel
|
| 29 |
Robot-assisted spinal augmentation procedures: is it worth the increased effort?
|
Bettag, Christoph
|
|
|
32 |
11 |
p. 3927-3932
|
artikel
|
| 30 |
Scoliosis in children with severe cerebral palsy: a population-based study of 206 children at GMFCS levels III–V
|
Vinje, Svend
|
|
|
32 |
11 |
p. 4030-4036
|
artikel
|
| 31 |
Systematic review of imaging comparisons of spinal alignment among standing positions in healthy adolescents or adolescents with idiopathic scoliosis: SOSORT 2023 award winner
|
Fehr, Brianna J.
|
|
|
32 |
11 |
p. 3941-3960
|
artikel
|
| 32 |
The contribution of preoperative balanced halo-pelvic traction to severe rigid spinal deformity correction
|
Zhou, Zhenhai
|
|
|
32 |
11 |
p. 4054-4062
|
artikel
|
| 33 |
The correlation between osteoporotic vertebrae fracture risk and bone mineral density measured by quantitative computed tomography and dual energy X-ray absorptiometry: a systematic review and meta-analysis
|
Chen, Lin
|
|
|
32 |
11 |
p. 3875-3884
|
artikel
|
| 34 |
The Finnish spine register (FinSpine): development, design, validation and utility
|
Marjamaa, Johan
|
|
|
32 |
11 |
p. 3731-3743
|
artikel
|
| 35 |
The indication of fusion to the pelvis in neuromuscular scoliosis is based on the underlying disease rather than on pelvic obliquity
|
Geiger, Florian
|
|
|
32 |
11 |
p. 4063-4072
|
artikel
|
| 36 |
The machine-vision image guided surgery system reduces fluoroscopy time, ionizing radiation and intraoperative blood loss in posterior spinal fusion for scoliosis
|
Lim, Kevin Boon Leong
|
|
|
32 |
11 |
p. 3987-3995
|
artikel
|
| 37 |
The Norwegian registry for spine surgery (NORspine): cohort profile
|
Mikkelsen, Eirik
|
|
|
32 |
11 |
p. 3713-3730
|
artikel
|
| 38 |
Value of multi-channel somatosensory evoked potentials recording in patients undergoing scoliosis correction surgery
|
Yuan, Yang
|
|
|
32 |
11 |
p. 4045-4053
|
artikel
|
| 39 |
Vertebral bone quality score as a novel predictor of proximal junctional kyphosis after thoracic adolescent idiopathic scoliosis surgery
|
Wang, Juehan
|
|
|
32 |
11 |
p. 3996-4002
|
artikel
|
| 40 |
Vertebral bone quality score for opportunistic osteoporosis screening: a correlation and optimal threshold analysis
|
Özmen, Emre
|
|
|
32 |
11 |
p. 3906-3911
|
artikel
|
| 41 |
Vertebral compression fractures managed with brace: risk factors for progression
|
Gutierrez-Gonzalez, R.
|
|
|
32 |
11 |
p. 3885-3891
|
artikel
|
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