Ultrasound-based statistical shape modeling for quantifying femoral trochlear bone shape post-ACLR

Arjun Parmar , Anthony A. Gatti , Ryan Fajardo , Matthew S. Harkey
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Abstract

Objective

Traditional assessments of femoral bone shape are not always available and do not adequately describe the full complexity of concave bone shape. We aimed to develop and validate an ultrasound-based statistical shape model (SSM) and a derived bone shape score (B-score) to quantify the femoral trochlear morphology associated with anterior cruciate ligament reconstruction (ACLR).

Design

This was a cross-sectional investigation involving 20 individuals with and 28 individuals without a history of ACLR. Bilateral ultrasound images of the femoral trochlear groove were acquired and analyzed. Both the SSM and B-score were validated using 5-fold cross-validation, assessing reconstruction and classification accuracy, respectively.

Results

In held-out test data, the SSM captured over 99% of the bone shape variance with minimal reconstruction error (RMSE = 0.027 ± 0.004 mm). On test data, the B-score accurately quantified bone shape associated with ACLR, demonstrating high accuracy (92.42%), sensitivity (97.37%), specificity (85.71%), and AUROC (0.95). A B-score threshold of 1.41 standard deviations from the mean healthy bone shape was identified for classifying ACLR history.

Conclusions

The ultrasound-based SSM and derived B-score provide a valid and accessible method for quantifying femoral trochlear bone shape changes post-ACLR. This approach offers potential for early detection of bone shape changes associated with disease and injury, improving long-term outcomes for ACLR patients. Future research should focus on enhancing model generalizability and assessment of bone shape changes longitudinally.
超声统计形状建模量化aclr术后股骨滑车骨形态
目的传统的股骨形状评估并不总是可用的,并且不能充分描述凹骨形状的全部复杂性。我们旨在开发和验证基于超声的统计形状模型(SSM)和衍生的骨形状评分(B-score),以量化与前交叉韧带重建(ACLR)相关的股骨滑车形态。这是一项横断面调查,包括20名有ACLR病史的人和28名没有ACLR病史的人。获取双侧股骨滑车沟超声图像并进行分析。SSM和B-score均采用5倍交叉验证进行验证,分别评估重建和分类准确性。结果SSM捕获了99%以上的骨形方差,重建误差最小(RMSE = 0.027±0.004 mm)。根据测试数据,B-score准确地量化了与ACLR相关的骨形状,具有较高的准确性(92.42%)、敏感性(97.37%)、特异性(85.71%)和AUROC(0.95)。b分阈值与平均健康骨骼形状的标准差为1.41,用于分类ACLR病史。结论超声SSM及衍生的b -评分为定量股骨滑车术后骨形态变化提供了一种有效、易行的方法。这种方法为早期发现与疾病和损伤相关的骨形状变化提供了潜力,改善了ACLR患者的长期预后。今后的研究应着重于提高模型的通用性和对骨形态变化的纵向评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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