NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2347106.553
G. Vadalà, G. Papalia, F. Russo, P. Brigato, L. Ambrosio, R. Papalia, Vincenzo Denaro
{"title":"Intraoperative Cone-Beam Computed Tomography Navigation Versus 2-Dimensional Fluoroscopy in Single-Level Lumbar Spinal Fusion: A Comparative Analysis","authors":"G. Vadalà, G. Papalia, F. Russo, P. Brigato, L. Ambrosio, R. Papalia, Vincenzo Denaro","doi":"10.14245/ns.2347106.553","DOIUrl":"https://doi.org/10.14245/ns.2347106.553","url":null,"abstract":"Objective Several studies have advocated for the higher accuracy of transpedicular screw placement under cone-beam computed tomography (CBCT) compared to conventional 2-dimensional (2D) fluoroscopy. The superiority of navigation systems in perioperative and postoperative outcomes remains a topic of debate. This study aimed to compare operative time, screw placement time and accuracy, total radiation dose, perioperative and postoperative outcomes in patients who underwent transpedicular screw fixation for degenerative lumbar spondylolisthesis (DLS) using intraoperative CBCT navigation versus 2D fluoroscopy. Methods A retrospective analysis was conducted on patients affected by single-level DLS who underwent posterior lumbar instrumentation with transpedicular screw fixation using surgical CBCT navigation (NV group) or 2D fluoroscopy-assisted freehand technique (FH group). Demographics, screw placement time and accuracy, operative time, total radiation dose, intraoperative blood loss, screw revision rate, complications, and length of stay (LOS) were assessed. Results The study included a total of 30 patients (NV group: n = 15; FH group: n = 15). The mean screw placement time, operative time, and LOS were significantly reduced in the NV group compared to the FH group (p < 0.05). The total radiation dose was significantly higher in the NV group (p < 0.0001). No significant difference was found in terms of blood loss and postoperative complications. Conclusion This study suggests that intraoperative CBCT-navigated single-level lumbar transpedicular screw fixation is superior in terms of mean screw placement time, operative time, and LOS compared to 2D fluoroscopy, despite a higher intraoperative radiation exposure.","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140359202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2347310.655
Bashar Zaidat, Nancy Shrestha, Ashley M. Rosenberg, Wasil Ahmed, Rami Rajjoub, Timothy Hoang, Mateo Restrepo Mejia, A. Duey, Justin E. Tang, Jun S. Kim, Samuel K. Cho
{"title":"Performance of a Large Language Model in the Generation of Clinical Guidelines for Antibiotic Prophylaxis in Spine Surgery","authors":"Bashar Zaidat, Nancy Shrestha, Ashley M. Rosenberg, Wasil Ahmed, Rami Rajjoub, Timothy Hoang, Mateo Restrepo Mejia, A. Duey, Justin E. Tang, Jun S. Kim, Samuel K. Cho","doi":"10.14245/ns.2347310.655","DOIUrl":"https://doi.org/10.14245/ns.2347310.655","url":null,"abstract":"Objective Large language models, such as chat generative pre-trained transformer (ChatGPT), have great potential for streamlining medical processes and assisting physicians in clinical decision-making. This study aimed to assess the potential of ChatGPT’s 2 models (GPT-3.5 and GPT-4.0) to support clinical decision-making by comparing its responses for antibiotic prophylaxis in spine surgery to accepted clinical guidelines. Methods ChatGPT models were prompted with questions from the North American Spine Society (NASS) Evidence-based Clinical Guidelines for Multidisciplinary Spine Care for Antibiotic Prophylaxis in Spine Surgery (2013). Its responses were then compared and assessed for accuracy. Results Of the 16 NASS guideline questions concerning antibiotic prophylaxis, 10 responses (62.5%) were accurate in ChatGPT’s GPT-3.5 model and 13 (81%) were accurate in GPT-4.0. Twenty-five percent of GPT-3.5 answers were deemed as overly confident while 62.5% of GPT-4.0 answers directly used the NASS guideline as evidence for its response. Conclusion ChatGPT demonstrated an impressive ability to accurately answer clinical questions. GPT-3.5 model’s performance was limited by its tendency to give overly confident responses and its inability to identify the most significant elements in its responses. GPT-4.0 model’s responses had higher accuracy and cited the NASS guideline as direct evidence many times. While GPT-4.0 is still far from perfect, it has shown an exceptional ability to extract the most relevant research available compared to GPT-3.5. Thus, while ChatGPT has shown far-reaching potential, scrutiny should still be exercised regarding its clinical use at this time.","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140359837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2347168.584
L. Ambrosio, G. Vadalà, Javad Tavakoli, L. Scaramuzzo, G. B. Brodano, Stephen J Lewis, So Kato, Samuel K. Cho, S. T. Yoon, Ho-Joong Kim, Matthew F. Gary, Vincenzo Denaro
{"title":"Surgeon Preference Regarding Wound Dressing Management in Lumbar Fusion Surgery: An AO Spine Global Cross-Sectional Study","authors":"L. Ambrosio, G. Vadalà, Javad Tavakoli, L. Scaramuzzo, G. B. Brodano, Stephen J Lewis, So Kato, Samuel K. Cho, S. T. Yoon, Ho-Joong Kim, Matthew F. Gary, Vincenzo Denaro","doi":"10.14245/ns.2347168.584","DOIUrl":"https://doi.org/10.14245/ns.2347168.584","url":null,"abstract":"Objective To evaluate the global practice pattern of wound dressing use after lumbar fusion for degenerative conditions. Methods A survey issued by AO Spine Knowledge Forums Deformity and Degenerative was sent out to AO Spine members. The type of postoperative dressing employed, timing of initial dressing removal, and type of subsequent dressing applied were investigated. Differences in the type of surgery and regional distribution of surgeons’ preferences were analyzed. Results Right following surgery, 60.6% utilized a dry dressing, 23.2% a plastic occlusive dressing, 5.7% glue, 6% a combination of glue and polyester mesh, 2.6% a wound vacuum, and 1.2% other dressings. The initial dressing was removed on postoperative day 1 (11.6%), 2 (39.2%), 3 (20.3%), 4 (1.7%), 5 (4.3%), 6 (0.4%), 7 or later (12.5%), or depending on drain removal (9.9%). Following initial dressing removal, 75.9% applied a dry dressing, 17.7% a plastic occlusive dressing, and 1.3% glue, while 12.1% used no dressing. The use of no additional coverage after initial dressing removal was significantly associated with a later dressing change (p < 0.001). Significant differences emerged after comparing dressing management among different AO Spine regions (p < 0.001). Conclusion Most spine surgeons utilized a dry or plastic occlusive dressing initially applied after surgery. The first dressing was more frequently changed during the first 3 postoperative days and replaced with the same type of dressing. While dressing policies tended not to vary according to the type of surgery, regional differences suggest that actual practice may be based on personal experience rather than available evidence.","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2347366.683
W. Yuh, E. Khil, Y. Yoon, Burnyoung Kim, Hongjun Yoon, Jihe Lim, Kyoung Yeon Lee, Yeong Seo Yoo, Kyeong Deuk An
{"title":"Deep Learning-Assisted Quantitative Measurement of Thoracolumbar Fracture Features on Lateral Radiographs","authors":"W. Yuh, E. Khil, Y. Yoon, Burnyoung Kim, Hongjun Yoon, Jihe Lim, Kyoung Yeon Lee, Yeong Seo Yoo, Kyeong Deuk An","doi":"10.14245/ns.2347366.683","DOIUrl":"https://doi.org/10.14245/ns.2347366.683","url":null,"abstract":"Objective This study aimed to develop and validate a deep learning (DL) algorithm for the quantitative measurement of thoracolumbar (TL) fracture features, and to evaluate its efficacy across varying levels of clinical expertise. Methods Using the pretrained Mask Region-Based Convolutional Neural Networks model, originally developed for vertebral body segmentation and fracture detection, we fine-tuned the model and added a new module for measuring fracture metrics—compression rate (CR), Cobb angle (CA), Gardner angle (GA), and sagittal index (SI)—from lumbar spine lateral radiographs. These metrics were derived from six-point labeling by 3 radiologists, forming the ground truth (GT). Training utilized 1,000 nonfractured and 318 fractured radiographs, while validations employed 213 internal and 200 external fractured radiographs. The accuracy of the DL algorithm in quantifying fracture features was evaluated against GT using the intraclass correlation coefficient. Additionally, 4 readers with varying expertise levels, including trainees and an attending spine surgeon, performed measurements with and without DL assistance, and their results were compared to GT and the DL model. Results The DL algorithm demonstrated good to excellent agreement with GT for CR, CA, GA, and SI in both internal (0.860, 0.944, 0.932, and 0.779, respectively) and external (0.836, 0.940, 0.916, and 0.815, respectively) validations. DL-assisted measurements significantly improved most measurement values, particularly for trainees. Conclusion The DL algorithm was validated as an accurate tool for quantifying TL fracture features using radiographs. DL-assisted measurement is expected to expedite the diagnostic process and enhance reliability, particularly benefiting less experienced clinicians.","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01Epub Date: 2024-01-31DOI: 10.14245/ns.2347080.540
Ishan Khosla, Fatima N Anwar, Andrea M Roca, Srinath S Medakkar, Alexandra C Loya, Aayush Kaul, Jacob C Wolf, Vincent P Federico, Arash J Sayari, Gregory D Lopez, Kern Singh
{"title":"Severe Preoperative Disability Is Associated With Greater Mental Health Improvements Following Surgery for Degenerative Spondylolisthesis: A Cohort Matched Analysis.","authors":"Ishan Khosla, Fatima N Anwar, Andrea M Roca, Srinath S Medakkar, Alexandra C Loya, Aayush Kaul, Jacob C Wolf, Vincent P Federico, Arash J Sayari, Gregory D Lopez, Kern Singh","doi":"10.14245/ns.2347080.540","DOIUrl":"10.14245/ns.2347080.540","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate preoperative disability's influence on patient-reported outcomes (PROs) following surgery for degenerative spondylolisthesis (DS).</p><p><strong>Methods: </strong>DS patients who underwent surgical intervention were retrospectively identified from a single-surgeon spine registry. Cohorts based on Oswestry Disability Index (ODI) < 41 (milder disability) and ≥ 41 (severe disability) were created. Demographic differences were accounted for with 1:1 propensity score matching. For the matched sample, perioperative and PRO data were additionally collected. PROs assessed included mental health, physical function, pain, and disability. Pre- and up to 2-year postoperative PROs were utilized. Average time to final follow-up was 15.7 ± 8.8 months. Improvements in PROs and minimal clinically important difference (MCID) rates were calculated. Continuous variables were compared through Student t-test and categorical variables were compared through chi-square tests.</p><p><strong>Results: </strong>Altogether, 214 patients were included with 77 in the milder disability group. The severe disability group had worse postoperative day (POD) 1 pain scores and longer hospital stays (p ≤ 0.038, both). The severe disability group reported worse outcomes pre- and postoperatively (p < 0.011, all), but had greater average improvement in 12-item Short Form health survey mental composite score (SF-12 MCS), 9-Item Patient Health Questionnaire (PHQ-9), visual analogue scale (VAS)-back, and ODI by 6 weeks (p ≤ 0.037, all) and PHQ-9, VAS-back and ODI by final follow-up (p ≤ 0.015, all). The severe disability cohort was more likely to achieve MCID for SF-12 MCS, PHQ-9, and ODI (p ≤ 0.003, all).</p><p><strong>Conclusion: </strong>Patients with greater baseline disability report higher POD 1 pain and discharge later than patients with milder disability. While these patients report inferior physical/mental health before and after surgery, they report greater improvements in mental health and disability postoperatively.</p>","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10992647/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139692548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2448162.081
G. Vadalà, L. Ambrosio, Vincenzo Denaro
{"title":"Safety and Complications Related to Emerging Technologies","authors":"G. Vadalà, L. Ambrosio, Vincenzo Denaro","doi":"10.14245/ns.2448162.081","DOIUrl":"https://doi.org/10.14245/ns.2448162.081","url":null,"abstract":"","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140358890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2448234.117
Seong Yi
{"title":"Artificial Intelligence (AI)-Robotics Started When Human Capability Reached Limit, Human Creativity Begin Again When the Capability of AI-Robotics Reaches a Plateau","authors":"Seong Yi","doi":"10.14245/ns.2448234.117","DOIUrl":"https://doi.org/10.14245/ns.2448234.117","url":null,"abstract":"","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140360899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01Epub Date: 2024-02-01DOI: 10.14245/ns.2347178.589
Raffaele Da Mutten, Olivier Zanier, Sven Theiler, Seung-Jun Ryu, Luca Regli, Carlo Serra, Victor E Staartjes
{"title":"Whole Spine Segmentation Using Object Detection and Semantic Segmentation.","authors":"Raffaele Da Mutten, Olivier Zanier, Sven Theiler, Seung-Jun Ryu, Luca Regli, Carlo Serra, Victor E Staartjes","doi":"10.14245/ns.2347178.589","DOIUrl":"10.14245/ns.2347178.589","url":null,"abstract":"<p><strong>Objective: </strong>Virtual and augmented reality have enjoyed increased attention in spine surgery. Preoperative planning, pedicle screw placement, and surgical training are among the most studied use cases. Identifying osseous structures is a key aspect of navigating a 3-dimensional virtual reconstruction. To automate the otherwise time-consuming process of labeling vertebrae on each slice individually, we propose a fully automated pipeline that automates segmentation on computed tomography (CT) and which can form the basis for further virtual or augmented reality application and radiomic analysis.</p><p><strong>Methods: </strong>Based on a large public dataset of annotated vertebral CT scans, we first trained a YOLOv8m (You-Only-Look-Once algorithm, Version 8 and size medium) to detect each vertebra individually. On the then cropped images, a 2D-U-Net was developed and externally validated on 2 different public datasets.</p><p><strong>Results: </strong>Two hundred fourteen CT scans (cervical, thoracic, or lumbar spine) were used for model training, and 40 scans were used for external validation. Vertebra recognition achieved a mAP50 (mean average precision with Jaccard threshold of 0.5) of over 0.84, and the segmentation algorithm attained a mean Dice score of 0.75 ± 0.14 at internal, 0.77 ± 0.12 and 0.82 ± 0.14 at external validation, respectively.</p><p><strong>Conclusion: </strong>We propose a 2-stage approach consisting of single vertebra labeling by an object detection algorithm followed by semantic segmentation. In our externally validated pilot study, we demonstrate robust performance for our object detection network in identifying individual vertebrae, as well as for our segmentation model in precisely delineating the bony structures.</p>","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10992645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139692550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2448062.031
Jun Muto, Ichiro Tateya, Hirofumi Nakatomi, Ichiro Uyama, Yuichi Hirose
{"title":"Transoral Robotic-Assisted Neurosurgery for Skull Base and Upper Spine Lesions","authors":"Jun Muto, Ichiro Tateya, Hirofumi Nakatomi, Ichiro Uyama, Yuichi Hirose","doi":"10.14245/ns.2448062.031","DOIUrl":"https://doi.org/10.14245/ns.2448062.031","url":null,"abstract":"Objective The application of the da Vinci Surgical System in neurosurgery is limited due to technical difficulties requiring precise maneuvers and small instruments. This study details the advantages and disadvantages of robotics in neurosurgery and the reachable range of the transoral approach to lesions of the skull base and upper cervical spine. Methods In a cadaver study, the da Vinci Xi robot, lacking haptic feedback, was utilized for sagittal and coronal approaches on 5 heads, facilitating dura suturing in 3, with a 30°-angled drill for bone removal. Results Perfect exposure of all the nasopharyngeal sites, clivus, sellar, and choana, including the bilateral eustachian tubes, was achieved without any external incisions using this palatal split approach of transoral robotic surgery. The time required to perform a single stitch, knot, and complete single suture in robotic suturing of deep-seated were significantly less compared to manual suturing via the endonasal approach. Conclusion This is the first report to show the feasibility of suturing the dural defect in deep-seated lesions transorally and revealed that the limit of reach in the coronal plane via a transoral approach with incision of the soft palate is the foramen ovale. This preclinical investigation also showed that the transoral robotic approach is feasible for lesions extending from the sellar to the C2 in the sagittal plane. Refinement of robotic instruments for specific anatomic sites and future neurosurgical studies are needed to further demonstrate the feasibility and effectiveness of this system in treating benign and malignant skull base lesions.","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140361260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurospinePub Date : 2024-03-01DOI: 10.14245/ns.2448266.133
T. Yurube
{"title":"Proteoglycan Dysfunction as a Key Hallmark of Intervertebral Disc Degeneration: Commentary on “Proteoglycan Dysfunction: A Common Link Between Intervertebral Disc Degeneration and Skeletal Dysplasia”","authors":"T. Yurube","doi":"10.14245/ns.2448266.133","DOIUrl":"https://doi.org/10.14245/ns.2448266.133","url":null,"abstract":"Low back pain is a global health problem with a markedly high lifetime prevalence— 70%–85% 1 —and socioeconomic burden—up to $102.0 billion/yr in the United States, 2 which is also the most common reason for the worker’s disability. 3 Although the cause of low back pain is largely nonspecific, a large-scale twin study has found intervertebral disc degeneration as the independent, main risk factor for disabling low back pain. 4 A population study of magnetic resonance imaging has further identified the increase in the prevalence of lumbar disc degeneration with age, based on 42% of 18–30 years and 88% of 50–55 years in age, 5 thereby facilitating impaired daily activities of the elderly. 6 Along with severe low back pain, intervertebral disc degeneration can cause neurological disorders such as ra-diculopathy, myelopathy, paralysis, intermittent claudication, and even bladder and bowel dysfunction. 7 Despite successful conservative treatment for degenerative disc disease, 6 non-responders need surgery. 7 The current primary surgical approach is symptomatic disc excision and/or spinal fusion, which results in the loss of load bearing, shock absorption, and movement. 7 Therefore, the development of new biological therapies for degenerative disc disease is an urgent demand to restore the physiological function. The intervertebral disc is unique, as the largest immune-privileged, low-nutrient, avascular organ in the human body. 8 The disc has a complex structure of the central nucleus pulp-osus (NP) encapsulated by the peripheral annulus fibrosus (AF) and sandwiching cartilage endplates. 7 The collagenous, laminar AF maintains the pressurization of the gelatinous, oval NP","PeriodicalId":19269,"journal":{"name":"Neurospine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140359046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}