Implications of lumbosacral transitional anatomy on vertebral numbering: evaluation of 3147 adult full-length spine radiographs [0.03%]
腰骶部解剖变异对椎体编号的影响：3147例成人全长脊柱X线片分析
Shahbaaz A Sabri,Renzo A Laynes,Clayton J Hoffman et al.
Shahbaaz A Sabri et al.
Objective: When evaluating anomalous vertebral anatomy, limited consensus exists on how to best label vertebrae, leading to numbering discrepancies between radiologists and surgeons. Errors in vertebral numbering can have...
Removal of painful pelvic screws following spine fusion surgery: outcomes and complications [0.03%]
脊柱融合手术后取出血盆螺钉的疗效及并发症分析
Anthony L Mikula,Zach Pennington,Nikita Lakomkin et al.
Anthony L Mikula et al.
Objective: The purpose of this study was to evaluate the risks and benefits of removing painful pelvic/iliac screws in spine fusion surgery patients. Meth...
Differences across various ideal lumbar lordosis measurement formulas for patient-specific sagittal alignment goals [0.03%]
针对患者特定矢状对齐目标的各类理想腰椎生理曲度测量公式差异
David W Polly,Jason J Haselhuhn,Nathan Keller et al.
David W Polly et al.
Objective: Multiple studies in the past have developed equations to determine the ideal lumbar lordosis (ILL) in the sagittal plane. These equations differ but all look to accomplish the same goal of providing the surgeon...
Distal junctional failure following pelvic instrumentation in spinal fusion: a novel classification system [0.03%]
腰椎融合术后骨盆器械相关的远端连接部功能障碍：一项新的分类系统
Benjamin D Elder,Nikita Lakomkin,Scott L Zuckerman et al.
Benjamin D Elder et al.
Objective: While traditional literature in adult spinal deformity (ASD) examining mechanical complications has focused on proximal junctional kyphosis and failure, distal junctional failure (DJF) of constructs ending at t...
A novel classification of coronal malalignment in degenerative lumbar scoliosis for predicting postoperative coronal imbalance: a multicenter cohort study [0.03%]
一种新的腰椎退变性侧弯冠状面畸形分类方法可预测术后冠状面失衡：多中心队列研究
Weipeng Qiu,Zhuoran Sun,Ze Chen et al.
Weipeng Qiu et al.
Objective: The aim of this study was to investigate the major risk factors of postoperative coronal imbalance (CIB) in patients with degenerative lumbar scoliosis (DLS) and to establish a novel predictive classification s...
Multicenter Study
Neurosurgical focus. 2025 Jun 1;58(6):E4. DOI:10.3171/2025.3.FOCUS2524 2025
Validation and clinical application of the ΔC2 pelvic angle - ΔC2 tilt = Δpelvic tilt equation for predicting pelvic tilt in spinal deformity surgery [0.03%]
验证和临床应用ΔC2骶骨角度-ΔC2倾斜=Δ骶骨倾斜公式预测脊柱畸形手术中骶骨倾斜的角度变化规律
Karan Joseph,Tim Bui,Alexander T Yahanda et al.
Karan Joseph et al.
Objective: Notably, studies have established a consistent link between global sagittal alignment and pelvic tilt (PT) using C2 tilt (C2T) and C2 pelvic angle (C2PA), described by the following equation: C2PA = PT + C2T. T...
Editorial. Tilted foundations, leaning towers: the L4 factor in adult spinal deformity [0.03%]
述评。倾斜的基础和斜塔：成人脊柱畸形的L4因素
Daniel Schneider,Daniel M Sciubba
Daniel Schneider
Early outcomes with virtual surgical planning software and patient-specific instrumentation in adult spinal deformity [0.03%]
成人脊柱畸形手术中虚拟规划软件和个性化器械的近期疗效分析
Joshua H Weinberg,Nathan Ritchey,Joshua L Wang et al.
Joshua H Weinberg et al.
Objective: Software engineering innovations have led to the development of virtual surgical planning software (VSPS) for deformity correction. VSPS uses calibrated radiographs and machine learning predictive models to sim...
Decision regret in adult spinal deformity surgery: a comparison of SRS-22r outcomes and the Decision Regret Scale [0.03%]
成人脊柱畸形手术的决策遗憾：SRS-22R结果与决策遗憾量表的比较
Daniel R Rubio,John C F Clohisy,Munish C Gupta et al.
Daniel R Rubio et al.
Objective: The Decision Regret Scale (DRS) is a valid instrument evaluating the "correctness" of a treatment decision from the patient perspective. The minimal clinically important difference (MCID) is proposed as a thres...
Comparative Study
Neurosurgical focus. 2025 Jun 1;58(6):E3. DOI:10.3171/2025.3.FOCUS2575 2025
Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort [0.03%]
一种新型人工智能模型(SpinePose)的验证：使用脊柱侧弯X光片自动且准确预测脊柱参数在外部队列中的应用有效性
Rushikesh S Joshi,Edward S Harake,Cheng Jiang et al.
Rushikesh S Joshi et al.
Objective: SpinePose was developed in 2024 as a novel artificial intelligence (AI) tool to automatically predict spinopelvic parameters with high accuracy and without the need for manual entry. The authors' published resu...