Reliability and agreement of manual and automated morphological radiographic hip measurements

F. Boel , N.S. Riedstra , J. Tang , D.F. Hanff , H. Ahedi , V. Arbabi , N.K. Arden , S.M.A. Bierma-Zeinstra , M.M.A. van Buuren , F.M. Cicuttini , T.F. Cootes , K. Crossley , D. Eygendaal , D.T. Felson , W.P. Gielis , J. Heerey , G. Jones , S. Kluzek , N.E. Lane , C. Lindner , R. Agricola
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引用次数: 0

Abstract

Objective

To determine the reliability and agreement of manual and automated morphological measurements, and agreement in morphological diagnoses.

Methods

Thirty pelvic radiographs were randomly selected from the World COACH consortium. Manual and automated measurements of acetabular depth-width ratio (ADR), modified acetabular index (mAI), alpha angle (AA), Wiberg center edge angle (WCEA), lateral center edge angle (LCEA), extrusion index (EI), neck-shaft angle (NSA), and triangular index ratio (TIR) were performed. Bland-Altman plots and intraclass correlation coefficients (ICCs) were used to test reliability. Agreement in diagnosing acetabular dysplasia, pincer and cam morphology by manual and automated measurements was assessed using percentage agreement. Visualizations of all measurements were scored by a radiologist.

Results

The Bland-Altman plots showed no to small mean differences between automated and manual measurements for all measurements except for ADR. Intraobserver ICCs of manual measurements ranged from 0.26 (95%-CI 0–0.57) for TIR to 0.95 (95%-CI 0.87–0.98) for LCEA. Interobserver ICCs of manual measurements ranged from 0.43 (95%-CI 0.10–0.68) for AA to 0.95 (95%-CI 0.86–0.98) for LCEA. Intermethod ICCs ranged from 0.46 (95%-CI 0.12–0.70) for AA to 0.89 (95%-CI 0.78–0.94) for LCEA. Radiographic diagnostic agreement ranged from 47% to 100% for the manual observers and 63%–96% for the automated method as assessed by the radiologist.

Conclusion

The automated algorithm performed equally well compared to manual measurement by trained observers, attesting to its reliability and efficiency in rapidly computing morphological measurements. This validated method can aid clinical practice and accelerate hip osteoarthritis research.

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人工和自动髋关节形态放射学测量的可靠性和一致性
方法从世界 COACH 联合会中随机抽取 30 张骨盆 X 光片。对髋臼深宽比 (ADR)、改良髋臼指数 (mAI)、α角 (AA)、Wiberg 中心边缘角 (WCEA)、外侧中心边缘角 (LCEA)、挤压指数 (EI)、颈轴角 (NSA) 和三角指数比 (TIR) 进行手动和自动测量。使用Bland-Altman图和类内相关系数(ICC)来检验可靠性。人工和自动测量诊断髋臼发育不良、钳形和凸轮形态的一致性采用一致性百分比进行评估。结果Bland-Altman图显示,除ADR外,自动测量和手动测量的平均值差异不大。手动测量的观察者内ICC从TIR的0.26(95%-CI 0-0.57)到LCEA的0.95(95%-CI 0.87-0.98)不等。人工测量的观察者间 ICC 从 AA 的 0.43(95%-CI 0.10-0.68)到 LCEA 的 0.95(95%-CI 0.86-0.98)不等。方法间 ICC 从 AA 的 0.46(95%-CI 0.12-0.70)到 LCEA 的 0.89(95%-CI 0.78-0.94)不等。结论与训练有素的观察者进行的人工测量相比,自动算法表现同样出色,证明了其在快速计算形态测量值方面的可靠性和效率。这种经过验证的方法可以帮助临床实践,加快髋关节骨性关节炎的研究。
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来源期刊
Osteoarthritis and cartilage open
Osteoarthritis and cartilage open Orthopedics, Sports Medicine and Rehabilitation
CiteScore
3.30
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