To examine the impact of a structured rehabilitation programme as part of an integrated multidisciplinary treatment algorithm for adult spinal deformity patients. A prospective cohort study was performed over a 2-year period at a major tertiary referral centre for adult spinal deformity surgery. All consecutive patients requiring 2-stage corrective surgery for sagittal malalignment were included (n=32). Details of physiotherapy initial evaluation, inpatient rehabilitation progress, details of bracing treatment and time to discharge were collected. Clinical outcome scores were measured preoperatively and at 6 weeks, 6 months and 1 year postoperatively. After second stage corrective surgery, the mean time to standing without assistance was 2.1 days, mean time to independent ambulation was 4.2 days, mean time to competent ascending and descending stairs was 5.6 days and mean time to moulded orthosis application 7.1 days. Successful progression through the structured rehabilitation programme was associated with high clinical outcome scores and improved health related quality of life (HRQOL). The introduction of this programme contributed to the development of an enhanced recovery pathway for patients having adult spinal deformity surgery, reducing inpatient length of stay and optimising clinical outcomes

We investigated the incidence of anomalies in the vertebral arteries and Circle of Willis with three-dimensional CT angiography in 55 consecutive patients who had undergone an instrumented posterior fusion of the cervical spine.

We recorded any peri-operative and post-operative complications. The frequency of congenital anomalies was 30.9%, abnormal vertebral artery blood flow was 58.2% and vertebral artery dominance 40%.

The posterior communicating artery was occluded on one side in 41.8% of patients and bilaterally in 38.2%. Variations in the vertebral arteries and Circle of Willis were not significantly related to the presence or absence of posterior communicating arteries. Importantly, 18.2% of patients showed characteristic variations in the Circle of Willis with unilateral vertebral artery stenosis or a dominant vertebral artery, indicating that injury may cause lethal complications. One patient had post-operative cerebellar symptoms due to intra-operative injury of the vertebral artery, and one underwent a different surgical procedure because of insufficient collateral circulation.

Pre-operative assessment of the vertebral arteries and Circle of Willis is essential if a posterior spinal fusion with instrumentation is to be carried out safely.

Cite this article: Bone Joint J 2014;96-B:535–40.

Aims. To determine the major risk factors for unplanned reoperations (UROs) following corrective surgery for adult spinal deformity (ASD) and their interactions, using machine learning-based prediction algorithms and game theory. Methods. Patients who underwent surgery for ASD, with a minimum of two-year follow-up, were retrospectively reviewed. In total, 210 patients were included and randomly allocated into training (70% of the sample size) and test (the remaining 30%) sets to develop the machine learning algorithm. Risk factors were included in the analysis, along with clinical characteristics and parameters acquired through diagnostic radiology. Results. Overall, 152 patients without and 58 with a history of surgical revision following surgery for ASD were observed; the mean age was 68.9 years (SD 8.7) and 66.9 years (SD 6.6), respectively. On implementing a random forest model, the classification of URO events resulted in a balanced accuracy of 86.8%. Among machine learning-extracted risk factors, URO, proximal junction failure (PJF), and postoperative distance from the posterosuperior corner of C7 and the vertical axis from the centroid of C2 (SVA) were significant upon Kaplan-Meier survival analysis. Conclusion. The major risk factors for URO following surgery for ASD, i.e. postoperative SVA and PJF, and their interactions were identified using a machine learning algorithm and game theory. Clinical benefits will depend on patient risk profiles. Cite this article: Bone Joint Res 2023;12(4):245–255

Background. Magnetic resonance imaging (MRI) algorithm identifies end stage severely degenerated disc as ‘black’, and a moderately degenerate to non-degenerated disc as ‘white’. MRI is based on signal intensity changes that identifies loss of proteoglycans, water, and general radial bulging but lacks association with microscopic features such as fissure, endplate damage, persistent inflammatory catabolism that facilitates proteoglycan loss leading to ultimate collapse of annulus with neo-innervation and vascularization, as an indicator of pain. Thus, we propose a novel machine learning based imaging tool that combines quantifiable microscopic histopathological features with macroscopic signal intensities changes for hybrid assessment of disc degeneration. Methods. 100-disc tissue were collected from patients undergoing surgeries and cadaveric controls, age range of 35–75 years. MRI Pfirrmann grades were collected in each case, and each disc specimen were processed to identify the 1) region of interest 2) analytical imaging vector 3) data assimilation, grading and scoring pattern 4) identification of machine learning algorithm 5) predictive learning parameters to form an interface between hardware and software operating system. Results. Kernel algorithm defines non-linear data in xy histogram. X,Y values are scored histological spatial variables that signifies loss of proteoglycans, blood vessels ingrowth, and occurrence of tears or fissures in the inner and outer annulus regions mapped with the dampening and graded series of signal intensity changes. Conclusion. To our knowledge this study is the first to propose a machine learning method between microscopic spatial tissue changes and macroscopic signal intensity grades in the intervertebral disc. No conflict of interest declared.  . Sources of Funding. ICMR/5/4-5/3/42/Neuro/2022-NCD-1, Dr TMA PAI SMU/ 131/ REG/ TMA PURK/ 164/2020. A part of the above study was presented as an oral paper at the International Society for the Study of Lumbar Spine (ISSLS) meeting held on 1–5. th. May 2023, Melbourne, Australia

Introduction. Spine is a common site for haematological malignancies. Multiple myeloma affects the spine in 70% of cases. New guidelines were published in 2015 to help manage spinal haematological malignancies. Despite neural compression or spinal instability, instrumentation of the spine should be avoided. Surgery carries significant risks of wound complications and more importantly delaying the definitive chemotherapy and radiotherapy. Cement augmentation and bracing for pain and prevention of deformity is key to the new strategies. We aimed to evaluate the different treatment modalities adopted in the spine unit at St George's hospital for spinal haematological malignancies. We compared our practice to the current guidelines published in 2015. Methods. Retrospective review of all spinal haematological malignancy patients who were discussed in the spinal MDT and managed through the spine unit at St George's hospital in the period between April 2019 and February 2021. We analysed the demographics of the patients treated in this period and compared the management modalities adopted in the unit to the current British haematological guidelines. Results. 139 patients were included in this study, 61.9% of them were male. 70 cases came through the MSCC pathway. 15 patients had their spinal involvement in the lumbar spine only below the conus. The Bilsky Grades of the other 124 cases were B0: 35.97 % 1a: 4.31%%, 1b: 7.19%, 1c: 3.59%, 2: 5.75% 3: 32.37%. 43 patients (30.9 %) had neurological deficits on presentation. 70 cases were treated conservatively (50.35%), 21 were treated with brace only (15.1%), 25 had BKP (17.98%) and 23 were treated with instrumentation (16.54%). The number of instrumented cases was small and trending down and cement augmentation and bracing were more frequently chosen for these patients. This comes in accordance to the British haematological guidelines. Conclusion. Utilising BJH 2015 guidelines we have reduced our instrumented operative case load. There is a higher percentage of BKP and Bracing in accordance to the algorithm

Purposes and Background. Musculoskeletal disorders including as back and neck pain are leading causes of work disability. Effective interventions exist (i.e. functional restoration, multidisciplinary biopsychosocial rehabilitation, workplace-based interventions, etc.), but it is difficult to select the optimal intervention for specific patients. The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions. The WATT algorithm categorizes patients based on individual, occupational, and clinical characteristics according to likelihood of successful return-to-work following rehabilitation. Internal validation showed acceptable classification accuracy, but WATT has not been tested beyond the original development sample. Our purpose was to externally validate the WATT. Methods and Results. A population-based cohort design was used, with administrative and clinical data extracted from a Canadian provincial compensation database. Data were available on workers being considered for rehabilitation between January 2013 and December 2016. Data was obtained on patient characteristics (ie. age, sex, education level), clinical factors (ie. diagnosis, part of body affected, pain and disability ratings), occupational factors (ie. occupation, employment status, modified work availability), type of rehabilitation program undertaken, and return-to-work outcomes (receipt of wage replacement benefits 30 days after assessment). Analysis included classification accuracy statistics of WATT recommendations for selecting interventions that lead to successful RTW outcomes. The sample included 5296 workers of which 33% had spinal conditions. Sensitivity of the WATT was 0.35 while specificity was 0.83. Overall accuracy was 73%. Conclusion. Accuracy of the WATT for selecting successful rehabilitation programs was modest. Algorithm revision and further validation is needed. No conflicts of interest. Sources of funding: Funding was provided by the Workers' Compensation Board of Alberta

Acute angulation at the thoracolumbar junction with segmental subluxation of the spine occurring at the level above an anteriorly hypoplastic vertebra in otherwise normal children is a rare condition described as infantile developmental thoracolumbar kyphosis. Three patient series with total of 18 children have been reported in the literature. We report five children who presented with thoracolumbar kyphosis and discuss the treatment algorithm. We reviewed the medical records and spinal imaging at initial clinical presentation and at minimum two-year follow-up. The mean age at presentation was eight months (two to 12). All five children had L2 anterior vertebral body hypoplasia. The kyphosis improved spontaneously in three children kept under monitoring. In contrast, the deformity was progressive in two patients who were treated with bracing. The kyphosis and segmental subluxation corrected at latest follow-up (mean age 52 months; 48 to 60) in all patients with near complete reconstitution of the anomalous vertebra. The deformity and radiological imaging on a young child can cause anxiety to both parents and treating physicians. Diagnostic workup and treatment algorithm in the management of infantile developmental thoracolumbar kyphosis is proposed. Observation is indicated for non-progressive kyphosis and bracing if there is evidence of kyphosis and segmental subluxation deterioration beyond walking age. Surgical stabilisation of the spine can be reserved for severe progressive deformities unresponsive to conservative treatment. . Cite this article: Bone Joint J 2015;97-B:982–7

Aims

This systematic review aims to identify 3D predictors derived from biplanar reconstruction, and to describe current methods for improving curve prediction in patients with mild adolescent idiopathic scoliosis.

Aims

Implant-related postoperative spondylodiscitis (IPOS) is a severe complication in spine surgery and is associated with high morbidity and mortality. With growing knowledge in the field of periprosthetic joint infection (PJI), equivalent investigations towards the management of implant-related infections of the spine are indispensable. To our knowledge, this study provides the largest description of cases of IPOS to date.

Aims

This study aimed, through bioinformatics analysis and in vitro experiment validation, to identify the key extracellular proteins of intervertebral disc degeneration (IDD).

Background and Purpose. Healthcare for sciatica is usually ‘stepped’ with initial advice and analgesia, then physiotherapy, then more invasive interventions if symptoms continue. The SCOPiC trial tested a stratified care algorithm combining prognostic and clinical characteristics to allocate patients into one of three groups, with matched care pathways, and compared the effectiveness of stratified care (SC) with non-stratified, usual care (UC). Methods. Pragmatic two-parallel arm RCT with 476 adults recruited from 42 GP practices and randomised (1:1) to either SC or UC (238 per arm). In SC, participants in group 1 were offered up to 2 advice/treatment sessions with a physiotherapist, group 2 were offered up to 6 physiotherapy sessions, and group 3 was ‘fast-tracked’ to MRI and spinal specialist opinion. Primary outcome was time to first resolution of sciatica symptoms (6-point ordinal scale) collected via text messages. Secondary outcomes (4 and 12 months) included leg and back pain intensity, physical function, psychological status, time-off-work, satisfaction with care. Primary analysis was by intention to treat. Results. Primary outcome data were obtained from 89.3% (88.3% SC, 90.3% UC). Survival analysis showed a small but not statistically significant difference in time to resolution of symptoms (SC reached resolution 2 weeks earlier than UC; HR 1.14 (95% CI 0.89, 1.46)). There were no significant between-arm differences in secondary outcomes. Conclusion. The SC model, tested in this trial was not more effective than UC. On average, patients in both arms made similar good improvements over time, on most outcomes. No conflicts of interest. Funding: This report presents independent research commissioned by the National Institute for Health Research (NIHR) (NIHR HTA project number 12/201/09). NEF is a Senior NIHR Investigator and was supported through an NIHR Research Professorship (NIHR-RP-011-015). KK was supported by a HEFCE Senior Clinical Lectureship award. The views and opinions expressed by authors in this publication are those of the authors and do not necessarily reflect those of the NHS, the NIHR, MRC, CCF, NETSCC, the Health Technology Assessment programme or the Department of Health

Purpose of the study. We propose a simple classification for adolescent idiopathic scoliosis (AIS) based on two components which include the curve type and shoulder level and suggest a treatment algorithm for AIS. Introduction. Few Classification systems for adolescent idiopathic scoliosis (AIS) have helped in communicating, understanding and selecting a treatment for this condition; however, most of these classifications are complex and include many subtypes, making it difficult for the orthopaedic surgeon to use them in clinical practice. The variable reliability and reproducibility of these studies make recommendations and comparisons between various operative treatments a difficult task. Furthermore, none of these classifications has taken the shoulder imbalance into account, despite its importance as a clinical parameter and outcome measure. Methods. We developed a classification system with two components: curve type (I through III) and shoulder level (A or B). The curve types are divided into type I: Primary lumbar-thoracolumbar +/− secondary dorsal; type II: Primary dorsal secondary lumbar and type III: Dorsal. Each curve pattern is subdivided into type A or B depending on the shoulder level. In type A, the lower shoulder is ipsilateral to the concavity of the primary curve. In type B, the shoulders are level or the lower shoulder is on the convexity of the primary curve. This classification was tested for interobserver reliability and intraobserver reproducibility by six surgeons using radiographs of 28 patients. We performed a retrospective analysis of the radiographs of 232 consecutive AIS cases to assess the prevalence of curve types and tested the surgical treatment against the proposed treatment algorithm. Results. Three major types and six subtypes were identified, of which type I accounted for 30%, type II 28% and type III 42%. The kappa coefficient for interobserver reliability was 0.943, while the kappa value for intraobserver reproducibility was 0.964. There was a complete concordance with the shoulder level component. Of the 232 cases reviewed, with a minimum two-year follow-up, only three patients developed a decompensation distal to the instrumentation requiring fusion extension. Conclusion. This classification is the first of its kind to specifically address shoulder imbalance in the surgical decision-making process. The high interobserver reliability and intraobserver reproducibility is due in part to the simplicity of this classification, which makes it an invaluable tool to describe scoliosis curves and offers a potential treatment algorithm in correcting scoliosis

Aims

To benchmark the radiation dose to patients during the course of treatment for a spinal deformity.

To evaluate the incidence of complications and the radiographic and clinical outcomes from 2-stage reconstruction including 3-column osteotomy for revision adult spinal deformity. A prospective cohort study performed over 2 years at a major tertiary referral centre for adult spinal deformity surgery. All consecutive patients requiring 2-stage corrective surgery for revision adult spinal deformity were included. Radiographic parameters and clinical outcome measures were collected preoperatively and at 6 weeks, 6 months, 1 year and 2 years postoperatively. Radiographic parameters analysed included pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, thoracic kyphosis and sagittal vertical axis. Clinical outcome measures collected included EQ-5D, ODI, SRS 22 and VAS Pain Scores. Performing anterior column reconstruction followed by 3-column osteotomy and extension of instrumentation for revision spinal deformity resulted an excellent correction of sagittal alignment, minimal surgical complications and significant improvements in HRQOL. Restoration of lumbar lordosis, pelvic tilt and sagittal vertical axis were observed in addition to postoperative improvements in EQ-5D, ODI, SRS 22 and VAS Pain Scores at follow-up. Performing anterior column reconstruction prior to a 3-column osteotomy minimises complications associated with 3-column osteotomy and extension of posterior instrumentation. We propose a treatment algorithm for safe and effective treatment in revision adult deformity surgery

Background and purpose. Investigating inter-vertebral biomechanics in vivo using end-of-range imaging is difficult due to high intra subject variation, measurement errors and insufficient data. Quantitative fluoroscopy (QF) can reliably measure continuous motion but may suffer from contamination from uncontrolled loading and muscle contraction which compromises comparisons between studies and limits interpretation of results. This study presents the methods used to overcome these limitations. Methods and results. Forty chronic, non-specific low back pain (CNSLPB) patients and 40 matched controls underwent QF using a passive recumbent protocol which standardised the rate and range of trunk rotation, thus reducing intra-subject variation and excluding loading and muscle contraction factors. Left, right, flexion and extension were recorded from L2-5 and vertebral motion registered using image processing algorithms, Resultant continuous inter-vertebral rotation data were normalised to produce proportional contributions of each segment throughout the trunk bend. The expected continuous proportional contributions at each level and direction were determined by calculating reference intervals (mean +/− 2SD) from controls. Prevalence of patients exceeding these ranges was determined and the association with CNSLBP calculated using Chi-squared analysis. Additionally the variance of the normalised data throughout the continuous motion for each direction was determined and summed to produce an combined number. This was used to measure the difference between patients and controls and entered into ROC curve analysis to investigate discrimination between patients and controls. Conclusion. A methodology for assessment of the differences between the continuous in vivo spine kinematics of CNSLBP patients and healthy controls has been developed and will be presented

To determine the cost-effectiveness of Lumbar Total Disc Replacement (LTDR) with circumferential spinal fusion surgery. Cost utility analysis. We prospectively reviewed a cohort of 32 consecutive patients who underwent LTDR between 2004 and 2008 with a mean follow-up for 3.75 years. Identical data was compared to a similar group of patients (n=37) who underwent fusion in our institution. Oswestry Disability Index, visual analogue scale, quality of life (SF-36) and NHS resource use. Cost-effectiveness was measured by the incremental cost per quality-adjusted life year (QALY) gained. QALY gains were estimated from SF-36 data using standard algorithms. There was no significant intergroup difference in the ODI, VAS and SF-36 pre and post-op. Both treatments produced statistically significant and equivalent improvements in mean health state utility at the 24-month follow-up (0.078 for LTDR, 0.087 for fusion). Costs were significantly lower with LTDR than with fusion due to a shorter mean procedure time (193.6 vs 377.4 minutes) and shorter length of stay (5.8 vs 7 days). The mean cost difference was £2,878 per patient. At 2 years, the cost per QALY gain of the lower-cost option (LTDR) was £48,892 although the cost effectiveness ratio would fall to below £30,000 if it is assumed that the patient benefits of LTDR last for at least 4 years. Both treatments led to significant improvements in patient outcomes which were sustained for at least 24 months. Costs were lower with LTDR which is effective and a more cost-effective alternative

Introduction. It has previously been reported . (. 1. ,. 2. ,. 3. ). that EMG signals from the lumbar spine are highly prone to contamination by ECG artefacts. It has also been reported that Independent Component Analysis is a suitable method for extracting this contamination (. 4. ). Methods. EMG data was recorded from 192 subjects across two years (initial contact, 12 months and 24 months). The data were analysed and the spectral half-widths calculated. The ICA method was then applied to the original raw data. As the power spectrum of ECG runs from 0-20Hz the resultant spectra were analysed to calculate which of them had the most signal energy below 20Hz. A high band pass filter was used to remove all signal data below 20Hz from this independent component. This method was chosen as there was signal data present in the chosen spectrum above 20Hz which would be EMG data. Removing data only below 20Hz preserved this EMG data. The components were then re-integrated and re-analysed to calculate the new half-widths. These new half-widths were compared with the originals to generate the results. Results. Originally the half-width variable distinguished between back pain suffers and non-back pain suffers with a sensitivity of 13.2% and a specificity of 76.5%. However after the ICA algorithms were applied the sensitivity became 30.0% and the specificity 58.6%. This means that while this technique is effective at removing ECG contamination from lumbar EMGs specifically identified as contaminated, the blind application of this technique cannot be recommended

Aims

To report the surgical outcome of patients with severe Scheuermann’s kyphosis treated using a consistent technique and perioperative management.

Introduction. Spinal infections constitute a spectrum of disease comprising pyogenic, tuberculous, nonpyogenic-nontuberculous and postoperative spinal infections. The aim of this study was to review the epidemiology, diagnostic yield of first and second biopsy procedures and microbiology trends from Sheffield Spinal Infection Database along with analysing prognostic predictors in spinal infections. Materials and Methods. Sheffield Spinal Infection Database collects data prospectively from regularly held Spinal infection MDTs. We accrued 125 spinal infections between September 2008 and October 2010. The medical records, blood results, radiology and bacteriology results of all patients identified were reviewed. In patients with negative first biopsy, second biopsy is contemplated and parenteral broad spectrum antibiotic treatment initiated. Results. There were 81 pyogenic, 16 tuberculous and 28 postoperative spinal infections. The mean age was 58.4 years (range, 19 to 88 years). There were 71 male and 54 female patients. There were 64 lumbar and 26 thoracic infections. Two level and multi-level spinal infections involving more than two segments occurred in 30 patients. Of sixty positive microbiology yields, the most common organism was methicillin sensitive staphylococcus aureus (n-23) followed by Streptococcal, E Coli and Coagulase negative staphylococcal and Pseudomonas infections. Second biopsy (done when first biopsy negative) was only positive in two patients. Conclusions. Annual incidence of de novo spinal infection was 48 (pyogenic-40, tuberculous-8). The most frequently isolated pathogen was Staphyloccus aureus. Multi-level infection, diabetic patients, resistant TB and postop infection in elderly patients constituted the ‘difficult to treat’ group in our experience. An algorithm for the diagnostic work-up and management of spinal infections is proposed

Introduction. Several disorders have been associated with genetic variants. Copy number variations (CNVs) are documented micro DNA insertions and deletions that may be ten times more frequent than point mutations. We undertook a genome-wide scan to find CNVs associated with adolescent idiopathic scoliosis (AIS). Methods. 879 white individuals with AIS severe spine curvatures and 1486 white controls were evaluated for CNVs with the Affymetrix 6.0 HUSNP array. After implementation of quality filters, data were quantile normalised. Copy number analysis was done with Helix Tree (Golden Helix, Bozeman, MT, USA). The copy number segments were measured with the Golden Helix's univariate segmentation algorithm. Statistically different segments were extracted with mean Log2 ratio intensity for that segment to highlight deletions, neutrals, and duplications. We then undertook association analysis on those segments. A p value of less than 10–7 was regarded as significant. Results. We recorded 143 significant segments or regions associated with AIS. 94 of these regions showed gains of copy whereas 49 had deletions. 63 of these significant regions map to known genes. Biological functions of the proteins coded by the genes identified complex groups associated with embryonic development, nervous system development and function, and bone and soft tissue development. These groups present an extensive overlap with the biological function groups that were generated with associated single-nucleotide polymorphism data from the same group of individuals. Conclusions. For the first time we show significant copy number loss or gain in several genomic regions for patients with AIS with severe spine curves compared with a control population. We are testing CNVs in patients with a mild spine curvature to establish whether they improve the performance of AIS prognostic testing. The identification of novel or rare CNVs in severe cases of AIS could lead to the enhancement of prognostic testing and help to identify specific biological pathways that cause AIS or accelerate AIS progression