Spinal Gout: An Unusual Cause of Low Back Pain.

Low back pain is the most common musculoskeletal complaint accounting for over 30 million visits to primary care physicians annually. Serious pathology is found in less than 1% of these visits. Therefore it is often a challenge to distinguish worrisome findings requiring further workup and treatment from common complaints of pain. Gout is an inflammatory arthritis that most commonly affects the appendicular skeleton. It is characterized by the saturation of uric acid and deposition of monosodium urate crystals in joints and tissues. Spinal involvement is rare and is not typically considered on the differential diagnosis for a patient presenting with acute low back pain. We present such a case of a 35-year-old male who presented with intractable back pain, highlighting the need to recognize signs and symptoms that raise suspicion for spinal gout.

Combined MediaPipe and YOLOv5 range of motion assessment system for spinal diseases and frozen shoulder.

Spinal diseases and frozen shoulder are prevalent health problems in Asian populations. Early assessment and treatment are very important to prevent the disease from getting worse and reduce pain. In the field of computer vision, it is a challenging problem to assess the range of motion. In order to realize efficient, real-time and accurate assessment of the range of motion, an assessment system combining MediaPipe and YOLOv5 technologies was proposed in this study. On this basis, Convolutional Block Attention Module (CBAM) is introduced into the YOLOv5 target detection model, which can enhance the extraction of feature information, suppress background interference, and improve the generalization ability of the model. In order to meet the requirements of large-scale computing, a client/server (C/S) framework structure is adopted. The evaluation results can be obtained quickly after the client uploads the image data, providing a convenient and practical solution. In addition, a game of "Picking Bayberries" was developed as an auxiliary treatment method to provide patients with interesting rehabilitation training.

Research progress on long non­coding RNAs in non­infectious spinal diseases (Review).

Spinal diseases, including intervertebral disc degeneration (IDD), ankylosing spondylitis, spinal cord injury and other non­infectious spinal diseases, severely affect the quality of life of patients. Current treatments for IDD and other spinal diseases can only relieve symptoms and do not completely cure the disease. Therefore, there is an urgent need to explore the causes of these diseases and develop new treatment approaches. Long non­coding RNA (lncRNA), a form of non­coding RNA, is abundant in diverse sources, has numerous functions, and plays an important role in the occurrence and development of spinal diseases such as IDD. However, the mechanism of action of lncRNAs has not been fully elucidated, and significant challenges remain in the use of lncRNAs as new therapeutic targets. The present article reviews the sources, classification and functions of lncRNAs, and introduces the role of lncRNAs in spinal diseases, such as IDD, and their therapeutic potential.

Application of metagenomic next-generation sequencing for rapid molecular identification in spinal infection diagnosis.

Objective: This study aimed to determine the sensitivity and specificity of metagenomic next-generation sequencing (mNGS) for detecting pathogens in spinal infections and to identify the differences in the diagnostic performance between mNGS and targeted next-generation sequencing (tNGS). Methods: A total of 76 consecutive patients with suspected spinal infections who underwent mNGS, culture, and histopathological examinations were retrospectively studied. The final diagnosis of the patient was determined by combining the clinical treatment results, pathological examinations, imaging changes and laboratory indicators. The sensitivity and specificity of mNGS and culture were determined. Results: The difference between the two detection rates was statistically significant (p < 0.001), with mNGS exhibiting a significantly higher detection rate (77.6% versus 18.4%). The average diagnosis time of mNGS was significantly shorter than that of bacterial culture (p < 0.001, 1.65 versus 3.07 days). The sensitivity and accuracy of mNGS were significantly higher than that of the culture group (p < 0.001, 82.3% versus 17.5%; 75% versus 27.6%), whereas the specificity of mNGS (42.9%) was lower than that of the culture group (p > 0.05, 42.9% versus 76.9%). The sensitivity, specificity, accuracy, and positive predictive value (PPV) of pus were higher than those of tissue samples for mNGS, whereas for culture, the sensitivity, specificity, accuracy, and PPV of tissue samples were higher than those of pus. tNGS demonstrated higher sensitivity and accuracy in diagnosing tuberculosis (TB) than mNGS (80% versus 50%; 87.5% versus 68.8%). Conclusion: mNGS for spinal infection demonstrated better diagnostic value in developing an antibiotic regimen earlier, and it is recommended to prioritize pus samples for testing through mNGS. Moreover, tNGS outperformed other methods for diagnosing spinal TB and identifying antibiotic-resistance genes in drug-resistant TB.

Automated detection, labelling and radiological grading of clinical spinal MRIs.

Spinal magnetic resonance (MR) scans are a vital tool for diagnosing the cause of back pain for many diseases and conditions. However, interpreting clinically useful information from these scans can be challenging, time-consuming and hard to reproduce across different radiologists. In this paper, we alleviate these problems by introducing a multi-stage automated pipeline for analysing spinal MR scans. This pipeline first detects and labels vertebral bodies across several commonly used sequences (e.g. T1w, T2w and STIR) and fields of view (e.g. lumbar, cervical, whole spine). Using these detections it then performs automated diagnosis for several spinal disorders, including intervertebral disc degenerative changes in T1w and T2w lumbar scans, and spinal metastases, cord compression and vertebral fractures. To achieve this, we propose a new method of vertebrae detection and labelling, using vector fields to group together detected vertebral landmarks and a language-modelling inspired beam search to determine the corresponding levels of the detections. We also employ a new transformer-based architecture to perform radiological grading which incorporates context from multiple vertebrae and sequences, as a real radiologist would. The performance of each stage of the pipeline is tested in isolation on several clinical datasets, each consisting of 66 to 421 scans. The outputs are compared to manual annotations of expert radiologists, demonstrating accurate vertebrae detection across a range of scan parameters. Similarly, the model's grading predictions for various types of disc degeneration and detection of spinal metastases closely match those of an expert radiologist. To aid future research, our code and trained models are made publicly available.

Is complementary medicine and diagnosis associated among spinal patients in the secondary sector: a cross-sectional study.

PURPOSE: The services defined as complementary and alternative medicine/healthcare (CAM) are used to varying degrees according to the nature of the health problem, and musculoskeletal disorders, in particular, often lead to the use of CAM. Chronic pain is often cited as a reason for using CAM, and it is also the cardinal symptom of patients with back pain referred for specialist care. However, previous studies do not consider the heterogeneity of back pain when examining the use of CAM. Thus, this study aimed to explore the associations between CAM use and clinical findings incl. ICD-10 diagnostic codes in such a context. METHODS: In a cross-sectional study, a logistic regression analysis examined associations between CAM use and clinical findings at a public outpatient spine department. Chi-squared test examined the association between self-reported reasons for CAM use and the diagnostic groups. RESULTS: Of the 432 patients in the study population, 23.8% reported using CAM within 12 months prior to clinical assessment. CAM use was associated with being female and of younger age. Seeking CAM was not associated with clinical findings nor diagnosis, and no statistically significant association between the reasons for seeking CAM and the diagnostic groups was described. CONCLUSIONS: Among patients referred to specialist care for back pain, this study provides no evidence that the spinal condition should be expected to lead to the use of CAM. Only the individual demographic findings, specifically age and gender, were associated with CAM use.

Chiropractors' perceptions on the use of spinal radiographs in clinical practice: a qualitative study.

BACKGROUND: Radiography is commonly used in the assessment of spinal disorders, despite a lack of high-quality evidence demonstrating improved clinical outcomes or additional benefit to the patient. There is disagreement amongst chiropractors regarding the appropriate use of radiography for clinical management. This study aims to qualitatively explore chiropractors' perceptions on the use of spinal radiographs in clinical practice with respect to how they determine when to order radiographs; and how they use radiographs to inform clinical management. METHODS: Online qualitative semi-structured interviews were conducted with 17 Australian chiropractors who currently manage patients with spinal disorders. Convienence, snowball, and purposive sampling strategies were used to ensure an appropriate breadth and depth of participant characterisitcs and beliefs. Interview data were recorded, transcribed and analysed using framework analysis. RESULTS: Three themes were developed to describe how chiropractors determined when to order radiographs. These themes included specific findings from the clinical encounter that may inform clinical management, their perceptions of radiation risk, and the influence of clinical experience/intuition. Three themes and four subthemes were developed for how chiropractors use radiographs to inform their management. These themes explored the use of radiography for the application of chiropractic technique, as well as the role of radiographs in predicting patient prognosis, and as an educational tool to provide reassurance. CONCLUSION: Australian chiropractors' decision-making around spinal radiography is diverse and can be influenced by a number of clinical and external factors. Previously unexplored uses of spinal radiography in clinical practice were highlighted. Some chiropractors reported potential benefits of radiography that are currently not supported by research evidence. Future research should address how radiographic findings are reported to patients with spinal disorders and how this could be optimised to improve patient outcomes.

Deep learning reconstruction for lumbar spine MRI acceleration: a prospective study.

BACKGROUND: We compared magnetic resonance imaging (MRI) turbo spin-echo images reconstructed using a deep learning technique (TSE-DL) with standard turbo spin-echo (TSE-SD) images of the lumbar spine regarding image quality and detection performance of common degenerative pathologies. METHODS: This prospective, single-center study included 31 patients (15 males and 16 females; aged 51 ± 16 years (mean ± standard deviation)) who underwent lumbar spine exams with both TSE-SD and TSE-DL acquisitions for degenerative spine diseases. Images were analyzed by two radiologists and assessed for qualitative image quality using a 4-point Likert scale, quantitative signal-to-noise ratio (SNR) of anatomic landmarks, and detection of common pathologies. Paired-sample t, Wilcoxon, and McNemar tests, unweighted/linearly weighted Cohen κ statistics, and intraclass correlation coefficients were used. RESULTS: Scan time for TSE-DL and TSE-SD protocols was 2:55 and 5:17 min:s, respectively. The overall image quality was either significantly higher for TSE-DL or not significantly different between TSE-SD and TSE-DL. TSE-DL demonstrated higher SNR and subject noise scores than TSE-SD. For pathology detection, the interreader agreement was substantial to almost perfect for TSE-DL, with κ values ranging from 0.61 to 1.00; the interprotocol agreement was almost perfect for both readers, with κ values ranging from 0.84 to 1.00. There was no significant difference in the diagnostic confidence or detection rate of common pathologies between the two sequences (p ≥ 0.081). CONCLUSIONS: TSE-DL allowed for a 45% reduction in scan time over TSE-SD in lumbar spine MRI without compromising the overall image quality and showed comparable detection performance of common pathologies in the evaluation of degenerative lumbar spine changes. RELEVANCE STATEMENT: Deep learning-reconstructed lumbar spine MRI protocol enabled a 45% reduction in scan time compared with conventional reconstruction, with comparable image quality and detection performance of common degenerative pathologies. KEY POINTS: • Lumbar spine MRI with deep learning reconstruction has broad application prospects. • Deep learning reconstruction of lumbar spine MRI saved 45% scan time without compromising overall image quality. • When compared with standard sequences, deep learning reconstruction showed similar detection performance of common degenerative lumbar spine pathologies.

Trends in degenerative lumbar spinal surgery during the early COVID-19 pandemic in Republic of Korea: A national study utilizing the national health insurance database.

During the first year of the COVID-19 pandemic, the Republic of Korea (ROK) experienced three epidemic waves in February, August, and November 2020. These waves, combined with the overarching pandemic, significantly influenced trends in spinal surgery. This study aimed to investigate the trends in degenerative lumbar spinal surgery in ROK during the early COVID-19 pandemic, especially in relation to specific epidemic waves. Using the National Health Information Database in ROK, we identified all patients who underwent surgery for degenerative lumbar spinal diseases between January 1, 2019 and December 31, 2020. A joinpoint regression was used to assess temporal trends in spinal surgeries over the first year of the COVID-19 pandemic. The number of surgeries decreased following the first and second epidemic waves (p<0.01 and p = 0.34, respectively), but these were offset by compensatory increases later on (p<0.01 and p = 0.05, respectively). However, the third epidemic wave did not lead to a decrease in surgical volume, and the total number of surgeries remained comparable to the period before the pandemic. When compared to the pre-COVID-19 period, average LOH was reduced by 1 day during the COVID-19 period (p<0.01), while mean hospital costs increased significantly from 3,511 to 4,061 USD (p<0.01). Additionally, the transfer rate and the 30-day readmission rate significantly decreased (both p<0.01), while the reoperation rate remained stable (p = 0.36). Despite the impact of epidemic waves on monthly surgery numbers, a subsequent compensatory increase was observed, indicating that surgical care has adapted to the challenges of the pandemic. This adaptability, along with the stable total number of operations, highlights the potential for healthcare systems to continue elective spine surgery during public health crises with strategic resource allocation and patient triage. Policies should ensure that surgeries for degenerative spinal diseases, particularly those not requiring urgent care but crucial for patient quality of life, are not unnecessarily halted.

Navigating challenges in spine surgery in Nigeria: the current state and strategies for advancing spine care.

The provision of specialized spine care in Nigeria presents a pressing challenge amid limited resources and geographical disparities. This correspondence offers a comprehensive roadmap for improving spine surgery and care within the country. We examine the current state of spinal health infrastructure, highlighting barriers such as limited access to specialists and facilities, particularly in rural areas, and financial constraints for patients. Innovations in spinal treatment, including the adoption of minimally invasive techniques and advancements in surgical modalities, are discussed alongside persistent challenges such as disparities in access and equipment costs. Training and education of spine surgeons emerge as critical areas requiring attention, with a shortage of qualified professionals exacerbated by inadequate training programs and resource constraints. We advocate for fostering local and international collaborations to address these gaps, emphasizing the role of partnerships in capacity building and knowledge exchange. Additionally, we explore the potential of public-private partnerships and investments to enhance the Nigerian spine healthcare system, calling for strategic initiatives to modernize infrastructure and improve accessibility. Finally, we propose a strategic blueprint encompassing infrastructure enhancement, training programs, research initiatives, policy advocacy, and public awareness campaigns. Through concerted efforts from local stakeholders and international partners, we envision a future where spine care in Nigeria is comprehensive, accessible, and of high quality, leading to improved health outcomes and a higher quality of life for those affected by spinal conditions.

Super-elderly, spinal surgery, evaluating the risks and benefits: a retrospective single-centre cohort study.

INTRODUCTION: An increasingly ageing population presents emerging healthcare challenges. Adequate clinical evaluation and understanding of outcome-predicting factors are integral to delivering safe spinal surgery to super-elderly patients. AIM: To evaluate spine surgery outcomes in patients aged 80 or above. METHODS: We retrospectively evaluated patients 80 years and above who underwent elective or emergency spinal surgery between 2017 and 2022. The Eurospine Surgery Classification (ESC) was used to classify operations into Large, Medium, and Small. We calculated and compared Clinical Frailty Scores (CFS) pre- and post-operatively. RESULTS: Two hundred forty-five patients met the inclusion criteria. Most were male (n = 145). The age range was 80 to 99 (mean 83.3). Most operations were elective (n = 151, 62%). In our cohort, 211, 22, 10,2 and 1 patients had degenerative, trauma, tumour, infective and vascular pathologies, respectively. According to the Eurospine classification, 201 (82.0%) had Minor spine surgery (63 emergently and 138 electively), 38 had Medium surgery (15.5% - 30 emergently and 8 electively), and 6 had Large surgery (2.4% - 1 emergently and 5 electively). 163 (66.5%) were discharged or under follow-up. There were 11 in-patient mortalities (4.5%). Outpatient mortality was 51 (20.8%), with the median time from surgery to death being 504.5 days, all the outpatient mortalities were neither non-spinal pathology nor spinal surgical related. CFS improved across the cohort, from 5 pre-operatively to 4 post-operatively (p < 0.001). CONCLUSION: Spine surgery in those over the 80s can be performed safely and improve their quality of life, as demonstrated by improvements in the CFS. Good patient selection and adequate pre-operative workup is essential, although it may not be possible in emergencies.

Surgeon variation: a south african spinal pathology treatment survey.

PURPOSE: To investigate variation in treatment decisions among spine surgeons in South Africa and the association between surgeon characteristics and the treatment they select. METHODS: We surveyed 79 South African spine surgeons. We presented four vignettes (cervical spine distractive flexion injury, lumbar disc herniation, degenerative spondylolisthesis with stenosis, and insufficiency fracture) for them to assess and select treatments. We calculated the index of qualitative variation (IQV) to determine the degree of variability within each vignette. We used Fisher's exact, and Kruskal-Wallis tests to assess the relationships between surgeons' characteristics and their responses per vignette. We compared their responses to the recommendations of a panel of spine specialists. RESULTS: IQVs showed moderate to high variability for cervical spine distractive flexion injury and insufficiency fracture and slightly lower levels of variability for lumbar disc herniation and degenerative spondylolisthesis with stenosis. This confirms the heterogeneity in South African spine surgeons' management of spinal pathologies. The surgeon characteristics associated with their treatment selection that were important were caseload, experience and training, and external funding. Also, 19% of the surgeons selected a treatment option that the Panel did not support. CONCLUSION: The findings make a case for evaluating patient outcomes and costs to identify value-based care. Such research would help countries that are seeking to contract with providers on value. Greater uniformity in treatment and easily accessible outcomes reporting would provide guidance for patients. Further investment in training and participation in fellowship programs may be necessary, along with greater dissemination of information from the literature.

The Epidemiology of Spinal Neurosurgery in Nigeria: A Systematic Review and Patient-Level Analysis.

OBJECTIVE: Spinal pathologies are prevalent in Nigeria, though epidemiological data remains sparse. This systematic review used pooled patient-level data from across the country to generate a standardized epidemiological reference. METHODS: Four research databases and gray literature sources were searched. Risk of bias assessment was conducted using Risk of Bias in Non-Randomised Studies - of Interventions and Cochrane's risk of bias tool. We descriptively analyzed all article metrics and statistically analyzed relevant data variables via paired t-test and χ2 independence tests (α = 0.05). RESULTS: One hundred twenty-seven articles, comprising a patient cohort of 8425 patients, were analyzed. Most were retrospective cohort studies (46.5%) and case reports/series (31.5%), with an overall moderate-high risk of bias. Most studies were published in the last 20 years. Most patients were male (∼2.5 males per female), with an average age of 43.2 years (±16.4). Clinical diagnoses spanned the breadth of spinal neurosurgery. Approximately 45.0% of patients had complete spinal impairment. Pain (41.7%) was the most reported presenting feature. X-ray (45.1%) was the most common investigation used. Intervertebral disc herniation (18.9%) was the most prevalent imaging finding on MRI. Most patients were managed nonoperatively (57.8%), with a favorable outcome in 27.4% of patients. Posttreatment complications included pressure sores, infection, and motor deficits. CONCLUSIONS: This systematic review and pooled analysis provide an epidemiological overview of spinal neurosurgery in Nigeria over the last 60 years and serves as a useful reference to direct future global research in this arena.

Cutting Edge Developments in Spine Surgery at the University of Missouri.

The treatment of spinal pathologies has evolved significantly from the times of Hippocrates and Galen to the current era. This evolution has led to the development of cutting-edge technologies to improve surgical techniques and patient outcomes. The University of Missouri Health System is a high-volume, tertiary care academic medical center that serves a large catchment area in central Missouri and beyond. The Department of Neurosurgery has sought to integrate the best available technologies to serve their spine patients. These technological advancements include intra-operative image guidance, robotic spine surgery, minimally invasive techniques, motion preservation surgery, and interdisciplinary care of metastatic disease to the spine. These advances have resulted in safer surgeries with enhanced outcomes at the University of Missouri. This integration of innovation demonstrates our tireless commitment to ensuring excellence in the comprehensive care of a diverse range of patients with complex spinal pathologies.

Virtual reality skateboarding training for balance and functional performance in degenerative lumbar spine disease.

BACKGROUND: Degenerative lumbar spine disease (DLD) is a prevalent condition in middle-aged and elderly individuals. DLD frequently results in pain, muscle weakness, and motor impairment, which affect postural stability and functional performance in daily activities. Simulated skateboarding training could enable patients with DLD to engage in exercise with less pain and focus on single-leg weight-bearing. The purpose of this study was to investigate the effects of virtual reality (VR) skateboarding training on balance and functional performance in patients with DLD. METHODS: Fourteen patients with DLD and 21 age-matched healthy individuals completed a 6-week program of VR skateboarding training. The motion capture and force platform systems were synchronized to collect data during a single-leg stance test (SLST). Musculoskeletal simulation was utilized to calculate muscle force based on the data. Four functional performance tests were conducted to evaluate the improvement after the training. A Visual Analogue Scale (VAS) was also employed for pain assessment. RESULTS: After the training, pain intensity significantly decreased in patients with DLD (p = 0.024). Before the training, patients with DLD took longer than healthy individuals on the five times sit-to-stand test (p = 0.024). After the training, no significant between-group differences were observed in any of the functional performance tests (p > 0.05). In balance, patients with DLD were similar to healthy individuals after the training, except that the mean frequency (p = 0.014) was higher. Patients with DLD initially had higher biceps femoris force demands (p = 0.028) but shifted to increased gluteus maximus demand after the training (p = 0.037). Gluteus medius strength significantly improved in patients with DLD (p = 0.039), while healthy individuals showed consistent muscle force (p > 0.05). CONCLUSION: This is the first study to apply the novel VR skateboarding training to patients with DLD. VR skateboarding training enabled patients with DLD to achieve the training effects in a posture that relieves lumbar spine pressure. The results also emphasized the significant benefits to patients with DLD, such as reduced pain, enhanced balance, and improved muscle performance.

Influence factors of metagenomic next-generation sequencing negative results in diagnosed patients with spinal infection.

The aim of this study was to evaluate the influence factors of metagenomic next-generation sequencing (mNGS) negative results in the diagnosed patients with spinal infection. mNGS test was applied in a cohort of 114 patients with suspected spinal infection, among which 56 patients had a final diagnosis of spinal infection. mNGS achieved a sensitivity of 75.0% (95% CI, 61.6% to 85.6%) and a specificity of 84.5% (95% CI, 72.6% to 92.7%), using histopathology and culture results as reference. Diagnosed patients with a negative culture result had lower white blood cell account, percentage of neutrophilic granulocyte, C-reactive protein (all P<0.05) and relatively higher rate of prior antimicrobial treatment history (P=0.059). However, diagnosed patients with a negative mNGS result did not have such difference with mNGS-positive patients, suggesting that mNGS was not strictly limited by the above indicators, which presented the advantages of this technique from another point of view.

Clinical applications of AI-prediction tools in spine surgery: a narrative review.

Spine surgery has grown into a wide, complex field encompassing trauma surgery to deformity to tumours. Artificial intelligence (AI) based technology has been particularly useful in improving imaging-reporting and detection of predictive patterns. The purpose of this narrative review is to present practical approaches towards implementing upcoming AI spine research for clinicians to help improve practices, clinical throughput, and surgical decision-making.

Single-center pilot study of remote therapeutic monitoring in patients with operative spinal pathologies.

OBJECTIVES: Spine pathology affects a significant portion of the population, leading to neck and back pain, impacting quality of life, and potentially requiring surgical intervention. Current pre- and postoperative monitoring methods rely on patient reported outcome (PRO) measures and lack continuous objective data on patients' recoveries. Remote therapeutic monitoring (RTM) using wearable devices offers a promising solution to bridge this gap, providing real-time physical function data. This study aims to assess the feasibility and correlation between changes in physical function and daily activity levels using RTM for individuals with operative spinal pathologies. METHODS: A single-center pilot study involving 21 participants with operative spinal pathologies was conducted at an academic hospital. Participants were provided Bluetooth-enabled Fitbit Inspire 2 activity trackers and asked to wear them daily for 100 days. The Healthcare Recovery Solutions (HRS) mobile application facilitated remote administration of the PROMIS - Physical Function Short Form 6b PROs questionnaire at days 1, 30, and 90. Linear regression, Students' paired T tests, and one-way ANOVA were used to analyze collected data. RESULTS: Average compliance with RTM was found to be 82.4% compared to only 48% for PROMs. Changes in daily steps were moderately positively correlated with changes in PROs at both 30 and 90 days. Participant satisfaction with RTM was high, and responses indicated greater satisfaction with RTM compared to PROMs. CONCLUSIONS: RTM offers continuous and objective data collection, presenting a potential solution to the limitations of intermittent clinical assessments and self-reported outcomes. The study demonstrated a moderate correlation between changes in activity levels and changes in PROs, suggesting that RTM data could serve as a surrogate for PROs. Participants' high compliance and satisfaction with RTM underscore its feasibility and potential clinical utility. This study lays the groundwork for larger future investigations into the clinical benefits and broader application of RTM in spine care.