Nicola Büttiker , David Koch , Annegret Mündermann , Stefan Schären , Stephen J. Ferguson , Cordula Netzer , Corina Nüesch
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Postural agreement between the two modalities was assessed using Bland-Altman analysis of the vertical distances between the posterior and anterior superior iliac spine markers (ASIS-PSIS) and the horizontal distances between the C7 and sacrum markers (SACR-C7). The influence of postural variation between modalities on alignment parameters was estimated using trigonometric analysis. Radiographic parameters differed notably from motion-capture derived parameters, particularly sacral slope, with an average offset of 31.1° (range: –0.4°–46.4°). The mean vertical ASIS-PSIS distance was −3.3 mm (LoA (limits of agreement): [−21.4; 14.8] mm) and the mean horizontal SACR-C7 distance was +4.9 mm (LoA: [−16.3; 26.1] mm), corresponding to maximum angular deviations of 5.9° for sacral slope and 3.7° for spine inclination. In conclusion, the large offset ranges underscore the need for radiography and individual offset corrections to approximate spinopelvic alignment parameters using motion capture. However, the close replication of the EOS posture highlights this method’s potential for assessing spinopelvic alignment in dynamic conditions.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"191 ","pages":"Article 112894"},"PeriodicalIF":2.4000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing radiographic spinopelvic alignment parameters using motion capture\",\"authors\":\"Nicola Büttiker , David Koch , Annegret Mündermann , Stefan Schären , Stephen J. Ferguson , Cordula Netzer , Corina Nüesch\",\"doi\":\"10.1016/j.jbiomech.2025.112894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>While radiographic imaging is the gold standard for assessing spinopelvic alignment, it may not fully reflect symptom severity in patients with lumbar spinal stenosis (LSS) as patients employ dynamic compensatory strategies. This study aimed to develop a method to align static spinopelvic alignment parameters derived from motion capture with radiographic definitions. 27 patients underwent EOS radiography and motion capture analysis in a standardized posture. Radiopaque and retroreflective markers were placed on the same anatomical landmarks before EOS radiography and motion capture analysis, respectively. Offset angles were calculated to align motion capture-derived with radiographic parameters. Postural agreement between the two modalities was assessed using Bland-Altman analysis of the vertical distances between the posterior and anterior superior iliac spine markers (ASIS-PSIS) and the horizontal distances between the C7 and sacrum markers (SACR-C7). The influence of postural variation between modalities on alignment parameters was estimated using trigonometric analysis. Radiographic parameters differed notably from motion-capture derived parameters, particularly sacral slope, with an average offset of 31.1° (range: –0.4°–46.4°). The mean vertical ASIS-PSIS distance was −3.3 mm (LoA (limits of agreement): [−21.4; 14.8] mm) and the mean horizontal SACR-C7 distance was +4.9 mm (LoA: [−16.3; 26.1] mm), corresponding to maximum angular deviations of 5.9° for sacral slope and 3.7° for spine inclination. In conclusion, the large offset ranges underscore the need for radiography and individual offset corrections to approximate spinopelvic alignment parameters using motion capture. However, the close replication of the EOS posture highlights this method’s potential for assessing spinopelvic alignment in dynamic conditions.</div></div>\",\"PeriodicalId\":15168,\"journal\":{\"name\":\"Journal of biomechanics\",\"volume\":\"191 \",\"pages\":\"Article 112894\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of biomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0021929025004063\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021929025004063","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
摘要
虽然x线影像学是评估脊柱-骨盆对齐的金标准,但由于患者采用动态代偿策略,它可能不能完全反映腰椎管狭窄(LSS)患者的症状严重程度。本研究旨在开发一种方法,将运动捕捉得出的静态脊柱骨盆对准参数与放射学定义对齐。27例患者在标准化姿势下接受EOS x线摄影和运动捕捉分析。在EOS x线摄影和运动捕捉分析之前,在相同的解剖标记上分别放置不透射线和反射标记。计算偏移角,以对齐运动捕获衍生的射线成像参数。通过Bland-Altman分析髂后上棘和前上棘标记物(ASIS-PSIS)之间的垂直距离以及C7和骶骨标记物(SACR-C7)之间的水平距离来评估两种模式之间的姿势一致性。利用三角函数分析估计了不同模态之间体位变化对对准参数的影响。x线摄影参数与动作捕捉衍生参数明显不同,尤其是骶骨斜率,平均偏移31.1°(范围:-0.4°-46.4°)。ASIS-PSIS平均垂直距离为- 3.3 mm (LoA(一致限):- 21.4;14.8] mm),平均水平SACR-C7距离为+4.9 mm (LoA:[−16.3;26.1] mm),对应于骶骨斜率的最大角度偏差5.9°和脊柱倾角的最大角度偏差3.7°。总之,大偏移范围强调了x线摄影和个体偏移校正的必要性,以使用运动捕捉来近似脊柱骨盆对齐参数。然而,EOS姿势的近距离复制强调了该方法在动态条件下评估脊柱骨盆对齐的潜力。
Assessing radiographic spinopelvic alignment parameters using motion capture
While radiographic imaging is the gold standard for assessing spinopelvic alignment, it may not fully reflect symptom severity in patients with lumbar spinal stenosis (LSS) as patients employ dynamic compensatory strategies. This study aimed to develop a method to align static spinopelvic alignment parameters derived from motion capture with radiographic definitions. 27 patients underwent EOS radiography and motion capture analysis in a standardized posture. Radiopaque and retroreflective markers were placed on the same anatomical landmarks before EOS radiography and motion capture analysis, respectively. Offset angles were calculated to align motion capture-derived with radiographic parameters. Postural agreement between the two modalities was assessed using Bland-Altman analysis of the vertical distances between the posterior and anterior superior iliac spine markers (ASIS-PSIS) and the horizontal distances between the C7 and sacrum markers (SACR-C7). The influence of postural variation between modalities on alignment parameters was estimated using trigonometric analysis. Radiographic parameters differed notably from motion-capture derived parameters, particularly sacral slope, with an average offset of 31.1° (range: –0.4°–46.4°). The mean vertical ASIS-PSIS distance was −3.3 mm (LoA (limits of agreement): [−21.4; 14.8] mm) and the mean horizontal SACR-C7 distance was +4.9 mm (LoA: [−16.3; 26.1] mm), corresponding to maximum angular deviations of 5.9° for sacral slope and 3.7° for spine inclination. In conclusion, the large offset ranges underscore the need for radiography and individual offset corrections to approximate spinopelvic alignment parameters using motion capture. However, the close replication of the EOS posture highlights this method’s potential for assessing spinopelvic alignment in dynamic conditions.
期刊介绍:
The Journal of Biomechanics publishes reports of original and substantial findings using the principles of mechanics to explore biological problems. Analytical, as well as experimental papers may be submitted, and the journal accepts original articles, surveys and perspective articles (usually by Editorial invitation only), book reviews and letters to the Editor. The criteria for acceptance of manuscripts include excellence, novelty, significance, clarity, conciseness and interest to the readership.
Papers published in the journal may cover a wide range of topics in biomechanics, including, but not limited to:
-Fundamental Topics - Biomechanics of the musculoskeletal, cardiovascular, and respiratory systems, mechanics of hard and soft tissues, biofluid mechanics, mechanics of prostheses and implant-tissue interfaces, mechanics of cells.
-Cardiovascular and Respiratory Biomechanics - Mechanics of blood-flow, air-flow, mechanics of the soft tissues, flow-tissue or flow-prosthesis interactions.
-Cell Biomechanics - Biomechanic analyses of cells, membranes and sub-cellular structures; the relationship of the mechanical environment to cell and tissue response.
-Dental Biomechanics - Design and analysis of dental tissues and prostheses, mechanics of chewing.
-Functional Tissue Engineering - The role of biomechanical factors in engineered tissue replacements and regenerative medicine.
-Injury Biomechanics - Mechanics of impact and trauma, dynamics of man-machine interaction.
-Molecular Biomechanics - Mechanical analyses of biomolecules.
-Orthopedic Biomechanics - Mechanics of fracture and fracture fixation, mechanics of implants and implant fixation, mechanics of bones and joints, wear of natural and artificial joints.
-Rehabilitation Biomechanics - Analyses of gait, mechanics of prosthetics and orthotics.
-Sports Biomechanics - Mechanical analyses of sports performance.