Pub Date : 2026-02-03DOI: 10.1007/s00586-026-09788-2
Mitchell K Ng, Leonidas E Mastrokostas, Paul G Mastrokostas, Matthew W Xie, Anton J Cristofoli, Sean Inzerillo, Gregorio Baek, Abigail Razi, Afshin E Razi, Daniel R Fassett, Andrew P Alvarez, Ian David Kaye, Mark F Kurd, Thomas D Cha, Jose A Canseco, Alan S Hilibrand, Alexander R Vaccaro, Gregory D Schroeder, Christopher K Kepler
{"title":"Timing and predictors of in-hospital mortality after cervical fusion: A National Inpatient Sample study from 2016 to 2022.","authors":"Mitchell K Ng, Leonidas E Mastrokostas, Paul G Mastrokostas, Matthew W Xie, Anton J Cristofoli, Sean Inzerillo, Gregorio Baek, Abigail Razi, Afshin E Razi, Daniel R Fassett, Andrew P Alvarez, Ian David Kaye, Mark F Kurd, Thomas D Cha, Jose A Canseco, Alan S Hilibrand, Alexander R Vaccaro, Gregory D Schroeder, Christopher K Kepler","doi":"10.1007/s00586-026-09788-2","DOIUrl":"https://doi.org/10.1007/s00586-026-09788-2","url":null,"abstract":"","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146112697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1007/s00586-026-09755-x
Edisson Nemer, Victor Gabriel El-Hajj, Marcus Roland Victor Gustafsson, Victor E Staartjes, Erik Edström, Adrian Elmi-Terander
{"title":"Impact of obesity on patient-reported outcome measures and complications following anterior cervical surgery for cervical spondylosis: A cohort study Of 7,993 patients.","authors":"Edisson Nemer, Victor Gabriel El-Hajj, Marcus Roland Victor Gustafsson, Victor E Staartjes, Erik Edström, Adrian Elmi-Terander","doi":"10.1007/s00586-026-09755-x","DOIUrl":"https://doi.org/10.1007/s00586-026-09755-x","url":null,"abstract":"","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146112651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Opportunistic screening for osteoporosis remains underutilized in spinal surgery candidates, despite the critical impact of bone quality on postoperative outcomes. While the L1-4 vertebral bone quality (VBQ) score derived from MRI has been proposed as an alternative to dual-energy X-ray absorptiometry (DXA), its reliability is limited in the presence of vertebral fractures or instrumentation. We introduce the TLS-VBQ score, a novel MRI-based metric that samples T11, T12, L3, and S1, to overcome these limitations.
Methods: In this retrospective multicenter study, 218 patients undergoing spinal surgery with preoperative T1-weighted MRI and DXA were included. The TLS-VBQ score was calculated using signal intensities from T11, T12, L3, and S1, normalized to cerebrospinal fluid at L3. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis, and robustness was tested by simulating single-level vertebral exclusions.
Results: The TLS-VBQ score demonstrated a stronger correlation with DXA T-scores (r = - 0.772, p < 0.001) than the conventional L1-4 VBQ (r = - 0.708, p < 0.001). The area under the curve (AUC) for TLS-VBQ was 0.854, significantly higher than that of L1-4 VBQ (0.825, DeLong p < 0.05). TLS-VBQ maintained an AUC > 0.85 even with simulated exclusion of T12 or S1, whereas L1-4 VBQ dropped below 0.80 when L1 or L4 was excluded. Inter-reader reliability was also higher for TLS-VBQ (ICC = 0.914).
Conclusion: The TLS-VBQ score is a robust and reproducible MRI-based tool for assessing bone quality in spinal surgery candidates. It outperforms the conventional L1-4 VBQ in diagnostic accuracy, resilience to vertebral-level exclusions, and inter-observer consistency. TLS-VBQ offers a practical, non-invasive method for opportunistic osteoporosis screening, facilitating early intervention without additional scans or radiation.
{"title":"TLS-VBQ: a novel MRI-based bone quality score for opportunistic osteoporosis screening in spinal surgery candidates.","authors":"Fayao Yan, Tongrui Zhang, Yongqi Zhang, Yu Yao, Zheng Li, Xingjie Jiang","doi":"10.1007/s00586-026-09769-5","DOIUrl":"https://doi.org/10.1007/s00586-026-09769-5","url":null,"abstract":"<p><strong>Background: </strong>Opportunistic screening for osteoporosis remains underutilized in spinal surgery candidates, despite the critical impact of bone quality on postoperative outcomes. While the L1-4 vertebral bone quality (VBQ) score derived from MRI has been proposed as an alternative to dual-energy X-ray absorptiometry (DXA), its reliability is limited in the presence of vertebral fractures or instrumentation. We introduce the TLS-VBQ score, a novel MRI-based metric that samples T11, T12, L3, and S1, to overcome these limitations.</p><p><strong>Methods: </strong>In this retrospective multicenter study, 218 patients undergoing spinal surgery with preoperative T1-weighted MRI and DXA were included. The TLS-VBQ score was calculated using signal intensities from T11, T12, L3, and S1, normalized to cerebrospinal fluid at L3. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis, and robustness was tested by simulating single-level vertebral exclusions.</p><p><strong>Results: </strong>The TLS-VBQ score demonstrated a stronger correlation with DXA T-scores (r = - 0.772, p < 0.001) than the conventional L1-4 VBQ (r = - 0.708, p < 0.001). The area under the curve (AUC) for TLS-VBQ was 0.854, significantly higher than that of L1-4 VBQ (0.825, DeLong p < 0.05). TLS-VBQ maintained an AUC > 0.85 even with simulated exclusion of T12 or S1, whereas L1-4 VBQ dropped below 0.80 when L1 or L4 was excluded. Inter-reader reliability was also higher for TLS-VBQ (ICC = 0.914).</p><p><strong>Conclusion: </strong>The TLS-VBQ score is a robust and reproducible MRI-based tool for assessing bone quality in spinal surgery candidates. It outperforms the conventional L1-4 VBQ in diagnostic accuracy, resilience to vertebral-level exclusions, and inter-observer consistency. TLS-VBQ offers a practical, non-invasive method for opportunistic osteoporosis screening, facilitating early intervention without additional scans or radiation.</p>","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146112732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1007/s00586-026-09774-8
Curtis A Fedorchuk, Douglas F Lightstone, Cole G Fedorchuk, Christian J Fernandez, Samantha M DeGeorge, Deed E Harrison
{"title":"Improvement in physical and mental quality of life following reduction of lumbar spondylolisthesis using chiropractic BioPhysics<sup>®</sup> corrective spinal rehabilitation: a case series of 117 patients with lumbar anterolisthesis(es).","authors":"Curtis A Fedorchuk, Douglas F Lightstone, Cole G Fedorchuk, Christian J Fernandez, Samantha M DeGeorge, Deed E Harrison","doi":"10.1007/s00586-026-09774-8","DOIUrl":"https://doi.org/10.1007/s00586-026-09774-8","url":null,"abstract":"","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146104443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1007/s00586-026-09764-w
Viprav B Raju, Ramesh M Arnest, Amulya Setlur, Huy Truong, Anjishnu Banerjee, Yin Li, Aditya Vedantam
<p><strong>Purpose: </strong>Degenerative cervical myelopathy (DCM) is a progressive spinal cord disorder that is frequently underdiagnosed, with diagnostic delays averaging 1 to 4 years. A key limitation in current clinical practice is the lack of objective and accessible screening tools. The 10-second grip-and-release test is commonly used to assess hand dysfunction in DCM, but its diagnostic performance is limited, particularly in older individuals with comorbid hand conditions such as osteoarthritis or peripheral neuropathy. To address this limitation, we developed and evaluated a smartphone-based computer vision tool that quantifies finger kinematics during the grip-and-release test. Our primary objective was to determine whether video-derived finger kinematics can provide superior diagnostic performance compared to grip count alone. A secondary objective was to assess how these video features correlate with cervical spinal cord compression on Magnetic Resonance Imaging (MRI).</p><p><strong>Methods: </strong>We collected smartphone videos of 58 participants with DCM and 65 age-matched controls (including healthy individuals and those with non-DCM hand dysfunction) performing the 10-second grip-and-release test. Finger landmarks were extracted using MediaPipe, and 250 kinematic features per finger were computed and combined across both hands. Feature selection was performed using ANOVA (p < 0.05) and mutual information scores (> 0.01). A CatBoost classifier was trained on selected features using an 80/20 train-test split and five-fold cross-validation. A logistic regression model was trained using grip count alone. Model performance was evaluated using AUC, F1-score, sensitivity, and specificity.For the secondary analysis, we used linear regression models to evaluate associations between video-derived kinematics and cervical spinal cord compression, quantified on MRI, in 56 DCM participants.</p><p><strong>Results: </strong>Mean grip count was significantly lower in the DCM group (7.92 ± 3.27) compared to controls (10.26 ± 3.78; p < 0.001). The CatBoost model trained on 66 selected kinematic features achieved an AUC of 0.90, F1-score of 0.83, sensitivity of 83.3%, and specificity of 84.7%. The grip count-only model achieved lower performance (AUC 0.69, F1-score 0.67, sensitivity 75.0%, specificity 46.2%). Video-derived features were associated with MRI-derived measures of spinal cord compression including transverse diameter (R² = 0.43, p= 0.002), sagittal diameter (R² = 0.45, p = 0.001), compression ratio (R² = 0.42, p = 0.003), and maximum spinal cord compression ratio (R² = 0.36, p = 0.018).</p><p><strong>Conclusion: </strong>We demonstrated that a smartphone-based computer vision tool can accurately detect hand motor impairment specific to DCM. Finger kinematic analysis demonstrated significantly higher diagnostic accuracy than grip count alone and was associated with spinal cord compression on MRI. This approach offers a promising tool fo
{"title":"Video-based finger kinematics for degenerative cervical myelopathy: a smartphone-based computer vision approach for screening.","authors":"Viprav B Raju, Ramesh M Arnest, Amulya Setlur, Huy Truong, Anjishnu Banerjee, Yin Li, Aditya Vedantam","doi":"10.1007/s00586-026-09764-w","DOIUrl":"https://doi.org/10.1007/s00586-026-09764-w","url":null,"abstract":"<p><strong>Purpose: </strong>Degenerative cervical myelopathy (DCM) is a progressive spinal cord disorder that is frequently underdiagnosed, with diagnostic delays averaging 1 to 4 years. A key limitation in current clinical practice is the lack of objective and accessible screening tools. The 10-second grip-and-release test is commonly used to assess hand dysfunction in DCM, but its diagnostic performance is limited, particularly in older individuals with comorbid hand conditions such as osteoarthritis or peripheral neuropathy. To address this limitation, we developed and evaluated a smartphone-based computer vision tool that quantifies finger kinematics during the grip-and-release test. Our primary objective was to determine whether video-derived finger kinematics can provide superior diagnostic performance compared to grip count alone. A secondary objective was to assess how these video features correlate with cervical spinal cord compression on Magnetic Resonance Imaging (MRI).</p><p><strong>Methods: </strong>We collected smartphone videos of 58 participants with DCM and 65 age-matched controls (including healthy individuals and those with non-DCM hand dysfunction) performing the 10-second grip-and-release test. Finger landmarks were extracted using MediaPipe, and 250 kinematic features per finger were computed and combined across both hands. Feature selection was performed using ANOVA (p < 0.05) and mutual information scores (> 0.01). A CatBoost classifier was trained on selected features using an 80/20 train-test split and five-fold cross-validation. A logistic regression model was trained using grip count alone. Model performance was evaluated using AUC, F1-score, sensitivity, and specificity.For the secondary analysis, we used linear regression models to evaluate associations between video-derived kinematics and cervical spinal cord compression, quantified on MRI, in 56 DCM participants.</p><p><strong>Results: </strong>Mean grip count was significantly lower in the DCM group (7.92 ± 3.27) compared to controls (10.26 ± 3.78; p < 0.001). The CatBoost model trained on 66 selected kinematic features achieved an AUC of 0.90, F1-score of 0.83, sensitivity of 83.3%, and specificity of 84.7%. The grip count-only model achieved lower performance (AUC 0.69, F1-score 0.67, sensitivity 75.0%, specificity 46.2%). Video-derived features were associated with MRI-derived measures of spinal cord compression including transverse diameter (R² = 0.43, p= 0.002), sagittal diameter (R² = 0.45, p = 0.001), compression ratio (R² = 0.42, p = 0.003), and maximum spinal cord compression ratio (R² = 0.36, p = 0.018).</p><p><strong>Conclusion: </strong>We demonstrated that a smartphone-based computer vision tool can accurately detect hand motor impairment specific to DCM. Finger kinematic analysis demonstrated significantly higher diagnostic accuracy than grip count alone and was associated with spinal cord compression on MRI. This approach offers a promising tool fo","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146104472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The aim of this study is to present our experience with oblique lateral interbody fusion combined with percutaneous bilateral pedicle screw fixation (OLIF + PPSF) performed under C-arm assistance in a single-position lateral decubitus position, and to report the accuracy of screw placement.
Methods: A prospective analysis was conducted on patients undergoing OLIF+PPSF by a single surgical team between October 2021 and November 2023. Patients were categorized into single-position or dual-position groups based on intraoperative positioning for screw insertion. Data collected included demographics, operative duration, blood loss, and complications. Clinical outcomes were assessed using ODI and VAS scores. Radiographic assessments included segmental lordosis (SL), lumbar lordosis (LL), and CT-based screw accuracy grading.
Results: The single-position group included 47 patients (80 levels), and the dual-position group 44 patients (71 levels). The single-position group had a significantly shorter mean operative time (P < 0.05). Postoperative CT revealed an overall screw accuracy of 98% in the single-position group, with no significant difference from the dual-position group. All suboptimal screws (5/248, Grade B/C) occurred within the first 18 cases, none requiring revision or causing neurological symptoms. A learning curve analysis identified 18 cases as the inflection point for operative time stabilization. Both SL and LL improved significantly postoperatively, with no difference between groups.
Conclusion: Our experience demonstrates that although screw placement time was relatively longer and accuracy relatively lower during the initial phase of the learning curve for single-position lateral decubitus screw insertion, this was associated with the surgeon's adaptation process. After 18 cases, both screw placement time and accuracy significantly improved. This technique avoids intraoperative repositioning, reduces operative time, improves surgical efficiency, and demonstrates high reproducibility, making it suitable for widespread adoption.
{"title":"A retrospective review of single-position lateral decubitus oblique lumbar interbody fusion combined with percutaneous pedicle screw fixation cases: early learning curve and screw placement accuracy.","authors":"Yuan Gao, Yanbing Liu, Zhenfang Gu, Zhengqi Zhao, Fengyu Liu, Zhao Liu, Xianze Sun","doi":"10.1007/s00586-026-09789-1","DOIUrl":"https://doi.org/10.1007/s00586-026-09789-1","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study is to present our experience with oblique lateral interbody fusion combined with percutaneous bilateral pedicle screw fixation (OLIF + PPSF) performed under C-arm assistance in a single-position lateral decubitus position, and to report the accuracy of screw placement.</p><p><strong>Methods: </strong>A prospective analysis was conducted on patients undergoing OLIF+PPSF by a single surgical team between October 2021 and November 2023. Patients were categorized into single-position or dual-position groups based on intraoperative positioning for screw insertion. Data collected included demographics, operative duration, blood loss, and complications. Clinical outcomes were assessed using ODI and VAS scores. Radiographic assessments included segmental lordosis (SL), lumbar lordosis (LL), and CT-based screw accuracy grading.</p><p><strong>Results: </strong>The single-position group included 47 patients (80 levels), and the dual-position group 44 patients (71 levels). The single-position group had a significantly shorter mean operative time (P < 0.05). Postoperative CT revealed an overall screw accuracy of 98% in the single-position group, with no significant difference from the dual-position group. All suboptimal screws (5/248, Grade B/C) occurred within the first 18 cases, none requiring revision or causing neurological symptoms. A learning curve analysis identified 18 cases as the inflection point for operative time stabilization. Both SL and LL improved significantly postoperatively, with no difference between groups.</p><p><strong>Conclusion: </strong>Our experience demonstrates that although screw placement time was relatively longer and accuracy relatively lower during the initial phase of the learning curve for single-position lateral decubitus screw insertion, this was associated with the surgeon's adaptation process. After 18 cases, both screw placement time and accuracy significantly improved. This technique avoids intraoperative repositioning, reduces operative time, improves surgical efficiency, and demonstrates high reproducibility, making it suitable for widespread adoption.</p>","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146104440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: This study aimed to test the hypothesis that a dose-response relationship exists between adherence to Enhanced Recovery After Surgery (ERAS) protocols and postoperative outcomes in geriatric patients undergoing separation surgery for spinal metastases.
Methods: In a single-center retrospective cohort study, 128 patients aged ≥ 70 years undergoing elective separation surgery for symptomatic spinal metastases (2020-2023) were included. Adherence to eight core ERAS components was assessed, and an overall adherence score was calculated. The primary outcome was composite complications (Clavien-Dindo Grade ≥ II) within 30 days. Multivariable logistic regression, adjusted for frailty and preoperative albumin, analyzed the association between adherence and outcomes.
Results: Median ERAS adherence was 75%. Each 10% increase in adherence was independently associated with 31% lower odds of major complications (aOR = 0.69; 95% CI: 0.55-0.88; p = 0.002). The High-Adherence group (≥ 75% adherence) experienced significantly shorter length of stay (5 vs. 7 days, p < 0.001) and better pain control at discharge (median VAS 2 vs. 3, p < 0.001) compared to the Low-Adherence group.
Conclusion: Our analysis suggests a significant dose-response relationship between ERAS adherence and improved outcomes in geriatric spine metastasis surgery. Higher adherence was independently associated with lower odds of major complications and shorter recovery time, thereby supporting the concept of a "Precision ERAS" approach.
目的：本研究旨在验证接受脊柱转移分离手术的老年患者术后依从增强术后恢复（ERAS）方案与术后预后之间存在剂量-反应关系的假设。方法：在一项单中心回顾性队列研究中，纳入128例年龄≥70岁（2020-2023年）接受选择性分离手术治疗症状性脊柱转移的患者。评估对八个核心ERAS组件的依从性，并计算总体依从性评分。主要终点为30天内的复合并发症（Clavien-Dindo分级≥II）。多变量logistic回归，调整虚弱和术前白蛋白，分析依从性和结果之间的关系。结果：ERAS依从性中位数为75%。依从性每增加10%与主要并发症发生率降低31%独立相关（aOR = 0.69; 95% CI: 0.55-0.88; p = 0.002）。高依从性组（≥75%依从性）的住院时间明显缩短（5天vs. 7天）。结论：我们的分析表明，在老年脊柱转移手术中，ERAS依从性与改善预后之间存在显著的剂量-反应关系。较高的依从性与较低的主要并发症发生率和较短的恢复时间独立相关，从而支持“精确ERAS”方法的概念。
{"title":"Dose-response relationship between enhanced recovery protocol adherence and outcomes in geriatric spine metastasis surgery.","authors":"Jian Zhou, An'nan Hu, Xilei Li, Xiaogang Zhou, Jian Dong","doi":"10.1007/s00586-026-09757-9","DOIUrl":"https://doi.org/10.1007/s00586-026-09757-9","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to test the hypothesis that a dose-response relationship exists between adherence to Enhanced Recovery After Surgery (ERAS) protocols and postoperative outcomes in geriatric patients undergoing separation surgery for spinal metastases.</p><p><strong>Methods: </strong>In a single-center retrospective cohort study, 128 patients aged ≥ 70 years undergoing elective separation surgery for symptomatic spinal metastases (2020-2023) were included. Adherence to eight core ERAS components was assessed, and an overall adherence score was calculated. The primary outcome was composite complications (Clavien-Dindo Grade ≥ II) within 30 days. Multivariable logistic regression, adjusted for frailty and preoperative albumin, analyzed the association between adherence and outcomes.</p><p><strong>Results: </strong>Median ERAS adherence was 75%. Each 10% increase in adherence was independently associated with 31% lower odds of major complications (aOR = 0.69; 95% CI: 0.55-0.88; p = 0.002). The High-Adherence group (≥ 75% adherence) experienced significantly shorter length of stay (5 vs. 7 days, p < 0.001) and better pain control at discharge (median VAS 2 vs. 3, p < 0.001) compared to the Low-Adherence group.</p><p><strong>Conclusion: </strong>Our analysis suggests a significant dose-response relationship between ERAS adherence and improved outcomes in geriatric spine metastasis surgery. Higher adherence was independently associated with lower odds of major complications and shorter recovery time, thereby supporting the concept of a \"Precision ERAS\" approach.</p>","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146104446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1007/s00586-026-09754-y
Hulin Yang, Xin Li, Zongxian He, Jie Cai, Jun Wang
{"title":"Comparative clinical outcomes of ACDF for cervical spondylotic myelopathy versus atypical cervical pathology presenting as refractory low back pain with radiating lower limb pain: a retrospective cohort study.","authors":"Hulin Yang, Xin Li, Zongxian He, Jie Cai, Jun Wang","doi":"10.1007/s00586-026-09754-y","DOIUrl":"10.1007/s00586-026-09754-y","url":null,"abstract":"","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146104465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-31DOI: 10.1007/s00586-025-09713-z
Antoine Keraudy, Pierre De Buck, Pierre Haettel, Boulos Ghannam, Richard Assaker, Henri-Arthur Leroy
{"title":"2-staged robot-assisted vertebrectomy for metastatic lumbar spine lesion: a proof-of-concept case.","authors":"Antoine Keraudy, Pierre De Buck, Pierre Haettel, Boulos Ghannam, Richard Assaker, Henri-Arthur Leroy","doi":"10.1007/s00586-025-09713-z","DOIUrl":"https://doi.org/10.1007/s00586-025-09713-z","url":null,"abstract":"","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146092624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiclass classification of infections after cervical spine surgery in the elderly: a machine learning approach based on preoperative and perioperative data.","authors":"Yuezhang Ying, Ziwei Fan, Lequn Fu, Chenyu He, Zhangheng Huang, Honglin Teng","doi":"10.1007/s00586-026-09761-z","DOIUrl":"https://doi.org/10.1007/s00586-026-09761-z","url":null,"abstract":"","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146092604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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