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Patient characteristics, surgical treatment, and outcomes in spinal gout: a systematic review of 315 cases
Netanja I. Harlianto & Zaneta N. Harlianto
doi : 10.1007/s00586-023-07942-8
Volume 32, issue 11, November 2023
Publication retraction in spine surgery: a systematic review
Jordan J. Levett, Lior M. Elkaim, Naif M. Alotaibi, Michael H. Weber, Nicolas Dea & Muhammad M. Abd-El-Barr
The Norwegian registry for spine surgery (NORspine): cohort profile
Eirik Mikkelsen, Tor Ingebrigtsen, Anette M. Thyrhaug, Lena Ringstad Olsen, Øystein P. Nygaard, Ivar Austevoll, Jens Ivar Brox, Christian Hellum, Frode Kolstad, Greger Lønne & Tore K. Solberg
The Finnish spine register (FinSpine): development, design, validation and utility
Johan Marjamaa, Jukka Huttunen, Jyrki Kankare, Antti Malmivaara, Katri Pernaa, Jyrki Salmenkivi & Liisa Pekkanen
Prevalence and consequences of spinal pain among people with type 1 and type 2 diabetes mellitus in Denmark
Behnam Liaghat, Lars Folkestad, Søren T. Skou, Bart Koes, Amalie Frost Stammerjohan & Jan Hartvigsen
Learning curve across 2000 thoracolumbar pedicle screw placements using O-arm navigation: technical difficulties and their solutions
Shailesh Hadgaonkar, Alok Gupta, Siddharth Aiyer, Pramod Bhilare & Parag Sancheti
Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and meta-analysis
Roger Compte, Isabelle Granville Smith, Amanda Isaac, Nathan Danckert, Terence McSweeney, Panagiotis Liantis & Frances M. K. Williams
Machine-learning-based approach for nonunion prediction following osteoporotic vertebral fractures
Shinji Takahashi, Hidetomi Terai, Masatoshi Hoshino, Tadao Tsujio, Minori Kato, Hiromitsu Toyoda, Akinobu Suzuki, Koji Tamai, Akito Yabu & Hiroaki Nakamura
Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification
Sadayuki Ito, Hiroaki Nakashima, Toshitaka Yoshii, Satoru Egawa, Kenichiro Sakai, Kazuo Kusano, Shinji Tsutui, Takashi Hirai, Yu Matsukura, Kanichiro Wada, Keiichi Katsumi, Masao Koda, Atsushi Kimura, Takeo Furuya, Satoshi Maki, Narihito Nagoshi, Norihiro Nishida, Yukitaka Nagamoto, Yasushi Oshima, Kei Ando, Masahiko Takahata, Kanji Mori, Hideaki Nakajima, Kazuma Murata, Masayuki Miyagi, Takashi Kaito, Kei Yamada, Tomohiro Banno, Satoshi Kato, Tetsuro Ohba, Satoshi Inami, Shunsuke Fujibayashi, Hiroyuki Katoh, Haruo Kanno, Masahiro Oda, Kensaku Mori, Hiroshi Taneichi, Yoshiharu Kawaguchi, Katsushi Takeshita, Morio Matsumoto, Masashi Yamazaki, Atsushi Okawa & Shiro Imagama
Deep learning-based high-accuracy detection for lumbar and cervical degenerative disease on T2-weighted MR images
Wei Yi, Jingwei Zhao, Wen Tang, Hongkun Yin, Lifeng Yu, Yaohui Wang & Wei Tian
A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT
James Thomas Patrick Decourcy Hallinan, Lei Zhu, Hui Wen Natalie Tan, Si Jian Hui, Xinyi Lim, Bryan Wei Loong Ong, Han Yang Ong, Sterling Ellis Eide, Amanda J. L. Cheng, Shuliang Ge, Tricia Kuah, Shi Wei Desmond Lim, Xi Zhen Low, Ee Chin Teo, Qai Ven Yap, Yiong Huak Chan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur & Jiong Hao Tan
Machine learning for the prediction of postoperative nosocomial pulmonary infection in patients with spinal cord injury
Meng-Pan Li, Wen-Cai Liu, Jia-Bao Wu, Kun Luo, Yu Liu, Yu Zhang, Shi-Ning Xiao, Zhi-Li Liu, Shan-Hu Huang & Jia-Ming Liu
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
Francesco Negrini, Andrea Cina, Irene Ferrario, Fabio Zaina, Sabrina Donzelli, Fabio Galbusera & Stefano Negrini
Deep phenotyping the cervical spine: automatic characterization of cervical degenerative phenotypes based on T2-weighted MRI
Frank Niemeyer, Fabio Galbusera, Youping Tao, Frank M. Phillips, Howard S. An, Philip K. Louie, Dino Samartzis & Hans-Joachim Wilke
Development of personalized machine learning-based prediction models for short-term postoperative outcomes in patients undergoing cervical laminoplasty
Mert Karabacak & Konstantinos Margetis
Pre-operative prediction of post-operative urinary retention in lumbar surgery: a prospective validation of machine learning model
Ken Porche, Carolina B. Maciel, Brandon Lucke-Wold, Yusuf Mehkri, Yasmeen Murtaza, Michael Goutnik, Steven A. Robicsek & Katharina M. Busl
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
Lin Chen, Xin-yi Wu, Qi Jin, Guang-yao Chen & Xiao Ma
Vertebral compression fractures managed with brace: risk factors for progression
R. Gutierrez-Gonzalez, C. Ortega, A. Royuela & A. Zamarron
MRI-based radiomics assessment of the imminent new vertebral fracture after vertebral augmentation
Jinhui Cai, Chen Shen, Tingqian Yang, Yang Jiang, Haoyi Ye, Yaoqin Ruan, Xuemin Zhu, Zhifeng Liu & Qingyu Liu
Vertebral bone quality score for opportunistic osteoporosis screening: a correlation and optimal threshold analysis
Emre Özmen, Ozancan Biçer, Emre Meriç, Esra Circi, Alican Barış & Serdar Yüksel
Efficacy of two opportunistic methods for screening osteoporosis in lumbar spine surgery patients
Ting-Ting Xu, Xue-Ying Huang & Yan-Wei Jiang
A nomogram prediction model for refracture in elderly patients with osteoporotic vertebral compression fractures after percutaneous vertebroplasty
Gang Ju & Xiaoqing Liu
Robot-assisted spinal augmentation procedures: is it worth the increased effort?
Christoph Bettag, Tim Jann, Veit Rohde, Ingo Fiss, Bawarjan Schatlo & Christian von der Brelie
Predictive factors for conversion from conservatively to surgically treatment osteoporotic thoracolumbar compression fractures based on sagittal parameters and magnetic resonance imaging features
Hoon-Seok Sung, Sang-Il Kim, Hyung-Youl Park, Myung-Sup Ko, Jeong-Han Lee & Young-Hoon Kim
Systematic review of imaging comparisons of spinal alignment among standing positions in healthy adolescents or adolescents with idiopathic scoliosis: SOSORT 2023 award winner
Brianna J. Fehr, Annika Visser & Eric C. Parent
Incidence of genitourinary anomalies in congenital scoliosis: systematic review and meta-analysis
Rafael Lorente, Gonzalo Mariscal & Alejandro Lorente
Impact of mental health components on the development of back pain in young adults with adolescent idiopathic scoliosis
Kenney Ki Lee Lau, Kenny Yat Hong Kwan, Jason Pui Yin Cheung, Karlen Ka Pui Law & Kenneth Man Chee Cheung
Adolescent idiopathic scoliosis is associated with muscle area asymmetries in the lumbar spine
Luis Becker, Zhao Li, Zhen Wang, Matthias Pumberger & Friederike Schömig
The machine-vision image guided surgery system reduces fluoroscopy time, ionizing radiation and intraoperative blood loss in posterior spinal fusion for scoliosis
Kevin Boon Leong Lim, Inez Su Xian Yeo, Stacy Wei Ling Ng, Woei Jack Pan & Nicole Kim Luan Lee
Vertebral bone quality score as a novel predictor of proximal junctional kyphosis after thoracic adolescent idiopathic scoliosis surgery
Juehan Wang, Qian Chen, Youwei Ai, Yong Huang, Ce Zhu, Hong Ding, Ganjun Feng, Limin Liu & Yueming Song
L1-pelvic angle: a convenient measurement to attain optimal deformity correction
Hani Chanbour, William Hunter Waddell, Justin Vickery, Matthew E. LaBarge, Andrew J. Croft, Michael Longo, Steven G. Roth, Jeffrey M. Hills, Amir M. Abtahi, Scott L. Zuckerman & Byron F. Stephens
Evaluation of cerebellum volume and trunk oscillation velocity in cases with adolescent idiopathic scoliosis: a preliminary report
Sabri Batin, Ahmet Payas, Emre Bal, Yakup Ekinci, Erdal Kurtoğlu, Ilyas Uçar, Mustafa Arik, Turgut Seber, Büşra Kepenek Varol, Ersin Kasım Ulusoy, Ayşe Kaçar Bayram, Duygu Ekinci & Erdoğan Unur
Characteristics of paraspinal muscle degeneration in patients with adult degenerative scoliosis
Mengmeng Zhou, Linyan Liu, Ziyu Chen, Boyuan Ma, Xuanhao Fu, Yuelin Cheng, Shunli Kan, Chengjiang Liu, Xinyan Zhao, Sa Feng, Zehua Jiang & Rusen Zhu
Scoliosis in children with severe cerebral palsy: a population-based study of 206 children at GMFCS levels III–V
Svend Vinje, Terje Terjesen & Thomas Kibsgård
Distal fusion level, complications, and reoperations in individuals with cerebral palsy undergoing surgery for scoliosis
I. Green-Petersen, L. Magnano, A. Charalampidis & P. Gerdhem
Value of multi-channel somatosensory evoked potentials recording in patients undergoing scoliosis correction surgery
Yang Yuan, Yongjie Zhang, Xiao Song, Xin Zhang, Chunjuan Li, Tao Yuan, Huaguang Qi & Liang Yan
The contribution of preoperative balanced halo-pelvic traction to severe rigid spinal deformity correction
Zhenhai Zhou, Zhiming Liu, Wenqiang Deng, Shengbiao Ma, Zhaohui Ge, Yingsong Wang, Wenbing Wan, Cao Yang & Kai Cao
The indication of fusion to the pelvis in neuromuscular scoliosis is based on the underlying disease rather than on pelvic obliquity
Florian Geiger, Johanna Eberl, André Wirries, Andreas Forth & Ahmed Hammad
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?
Takehiko Sugita, Toshimi Aizawa, Akira Sasaki, Seiya Miyamoto, Naohisa Miyatake, Masayuki Kamimura & Kenichirou Yahata
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?
Mohamad Karam, Aren Joe Bizdikian, Ismat Ghanem & Ayman Assi
