Zu Feiyu, Qi Hao, Wang Chenchen, Zhao Zenghui, Wang Zhaoxuan, Wang Chenxi, Chen Wei, Hou Zhiyong, Xue Rui, Zhang Di
Department of Spine Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Road, Shijiazhuang, 050051, China.
Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, 050051, China.
Eur Spine J. 2025 Mar;34(3):910-917. doi: 10.1007/s00586-025-08681-8. Epub 2025 Jan 30.
Spinopelvic sagittal balance ensures efficient posture and minimizes energy expenditure by aligning the spine, pelvis, and lower extremities. Deviations can cause clinical issues like back pain and functional limitations. Key radiographic parameters, including pelvic tilt (PT), pelvic incidence (PI), sacral slope (SS), and lumbar lordosis (LL), are essential for evaluating spinal pathologies and planning surgeries. Accurate PI measurement is challenging in certain conditions, necessitating alternative parameters. This study aimed to introduce a new, easily measurable parameter and examine its reliability and correlation with established sagittal parameters.
This study analyzed 107 asymptomatic adult volunteers (57 males and 50 females), with an average age of 36.75 years. Whole-spine radiographs in the standing position were taken using EOS technology. The established spinopelvic sagittal parameters and a novel parameter, sacrum1-pubic angle (S1PA), were measured. The correlation coefficient of each parameter, the regression equation of PI using S1PA, and the regression equation of PTα using PTβ were obtained. The intraclass correlation coefficients (ICCs) was calculated to evaluate the measurement reliability.
Morphologic (S1PA, PI) and positional parameters (PTα, PTβ, PTγ, SS, LL) showed no significant gender differences (p > 0.05). S1PA had strong correlations with PI (r = -0.883, p < 0.001) and other parameters. PTα demonstrated a strong correlation with PTβ (r = -0.929, p < 0.001). PI could be predicted according to the regression equation: PI = 71.672 - 4.537 × S1PA (R² = 0.779, p < 0.001). The PTα could be predicted using the following equation: PTα = 67.245 - 0.865 × PTβ (R² = 0.864, p < 0.001). Reliability analysis showed high intra- and inter-rater agreement in all the spinopelvic parameters.
The S1PA is a dependable parameter for evaluating the morphology and orientation of the pelvis. PI could be precisely predicted using the S1PA. These insights are valuable for clinicians, enhancing their ability to assess spinopelvic sagittal alignment accurately.
脊柱骨盆矢状面平衡通过使脊柱、骨盆和下肢对齐来确保高效的姿势并将能量消耗降至最低。偏差可能导致背痛和功能受限等临床问题。关键的影像学参数,包括骨盆倾斜度(PT)、骨盆入射角(PI)、骶骨倾斜度(SS)和腰椎前凸(LL),对于评估脊柱病变和规划手术至关重要。在某些情况下,准确测量PI具有挑战性,因此需要替代参数。本研究旨在引入一个新的、易于测量的参数,并检验其可靠性以及与既定矢状面参数的相关性。
本研究分析了107名无症状成年志愿者(57名男性和50名女性),平均年龄为36.75岁。使用EOS技术拍摄站立位全脊柱X线片。测量既定的脊柱骨盆矢状面参数和一个新参数骶骨1-耻骨角(S1PA)。获得每个参数的相关系数、使用S1PA的PI回归方程以及使用PTβ的PTα回归方程。计算组内相关系数(ICC)以评估测量可靠性。
形态学参数(S1PA、PI)和位置参数(PTα、PTβ、PTγ、SS、LL)在性别上无显著差异(p>0.05)。S1PA与PI(r = -0.883,p<0.001)及其他参数有很强的相关性。PTα与PTβ有很强的相关性(r = -0.929,p<0.001)。PI可根据回归方程预测:PI = 71.672 - 4.537×S1PA(R² = 0.779,p<0.001)。PTα可使用以下方程预测:PTα = 67.245 - 0.865×PTβ(R² = 0.864,p<0.001)。可靠性分析表明,所有脊柱骨盆参数在评估者内和评估者间均具有高度一致性。
S1PA是评估骨盆形态和方向的可靠参数。使用S1PA可精确预测PI。这些见解对临床医生很有价值,增强了他们准确评估脊柱骨盆矢状面对齐的能力。