Department of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
Department of Rehabilitation, Hospital for Special Surgery, New York City, NY, USA.
Spine Deform. 2022 Sep;10(5):1035-1045. doi: 10.1007/s43390-022-00505-9. Epub 2022 May 8.
This study introduces a novel surface-topographic scanning system capable of automatically generating a suite of objective measurements to characterize torso shape.
what is the reliability of the proposed system for measurement of trunk alignment parameters in patients with adolescent idiopathic scoliosis (AIS) and controls?
Forty-six adolescents (26 with AIS and 20 controls) were recruited for a prospective reliability study. A series of angular, volumetric, and area measures were computed from topographic scans in each of three clinically relevant poses using a fully automated processing pipeline. Intraclass correlation coefficients (ICC(2,1)) were computed within (intra-) and between (inter-) raters. Measurements were also performed on a torso phantom.
Topographic measurements computed on a phantom were highly accurate (mean RMS error 1.7%) compared with CT. For human subjects, intra- and inter-rater reliability were both high (average ICC > 0.90) with intrinsic (pose-independent) measurements having near-perfect reliability (average ICC > 0.98).
The proposed system is a suitable tool for topographic analysis of AIS; topographic measurements offer an objective description of torso shape that may complement other imaging modalities. Further research is needed to compare topographic findings with gold standard imaging of spinal alignment, e.g., standing radiography.
clinical parameters can be reliably measured in a fully automated system, paving the way for objective analysis of symmetry, body shape pre/post-surgery, and tracking of pathology without ionizing radiation.
本研究介绍了一种新颖的表面形貌扫描系统，能够自动生成一系列客观测量值，以描述躯干形状。
所提出的系统用于测量青少年特发性脊柱侧凸（AIS）患者和对照组的躯干对线参数的可靠性如何？
46 名青少年（26 名 AIS 患者和 20 名对照组）被招募进行前瞻性可靠性研究。使用全自动处理流水线，在三个临床相关体位中，从每个体位的形貌扫描中计算出一系列角度、体积和面积测量值。计算了组内（ intra-）和组间（ inter-）评分者的组内相关系数（ ICC（2,1））。还在躯干模型上进行了测量。
与 CT 相比，模型上的形貌测量值高度准确（平均 RMS 误差为 1.7%）。对于人体受试者，内部和外部评分者的可靠性均很高（平均 ICC>0.90），具有固有（体位独立）测量值的可靠性接近完美（平均 ICC>0.98）。
所提出的系统是 AIS 形貌分析的合适工具；形貌测量提供了躯干形状的客观描述，可能补充其他成像方式。需要进一步研究将形貌结果与脊柱对线的金标准成像（例如站立放射摄影）进行比较。
可以在全自动系统中可靠地测量临床参数，为无电离辐射的对称性分析、手术前后的体型、以及病理追踪铺平道路。
