BASELINE C-SCORE ON WEIGHT-BEARING CT PREDICTS 2-YEAR WORSENING OF KNEE PAIN IN WOMEN

S. Li , N.A. Segal , I. Tolstykh , M.C. Nevitt , T.D. Turmezei
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Abstract

INTRODUCTION

The B-score is a statistical score derived from non-weight-bearing MRI to assess femoral bone shape and its relationship with knee OA. However, CT scans may offer a more reliable and robust evaluations of bone shape, as they not only provide clearer differentiation between bone and soft tissue but also eliminate distortion artefact that can occur with MRI.

OBJECTIVE

To investigate a new “C-score” for femoral bone shape derived from CT as a predictive imaging biomarker for worsening knee pain in men and women with or at risk for knee osteoarthritis.

METHODS

This study included 649 knees from 389 participants (219 women) with a mean±SD age of 63.8±9.6 years and BMI of 28.5±5.0 kg/m². C-scores were calculated from baseline weight-bearing CT (WBCT) imaging of the knee joint: 0.37 mm voxels, FOV 30 × 20 cm, 120 kVp, 5.0 mA on a LineUp scanner, Curvebeam LLC, Warrington, PA. All distal femurs were segmented using Stradview to produce a surface mesh. A canonical distal femur mesh was registered using wxRegSurf to each individual femur to build the study population shape model. Each knee's C-score was derived from the distance along the vector for femur shape between the average KL0/1 and KL2/3/4 shapes from the study population using a custom script in MATLAB. A single unit of the C-score was standardized as 1SD along this vector for the KL0/1 population (Figure 1). Generalized estimating equations adjusted for age, sex, BMI and presence of up to 2 knees per participant were used to assess associations between baseline C-score and 2-year minimally clinically important worsening (MCIW) of the Western Ontario McMaster’s University Osteoarthritis Scale (WOMAC) pain subscore (2 points). MCIW is defined as the smallest difference on a pain scale that either patients perceive as worsening or requires change in treatment.

RESULTS

186 knees demonstrated pain worsening (32.71% women and 23.2% men). 98 knees had MCIW of pain (19.0% women and 9.8% men). C-scores ranged from -2.64 to +3.34 in women and -3.96 to +2.83 in men, with mean±SD values of 0.16±1.06 and -0.52±1.01 respectively (p-value for difference between sexes p=0.0003). Women without MCIW pain had a mean C-score of +0.31, while those with worsening pain had a mean C-score of +0.72. Men had mean C-scores of -0.03 and -0.01, respectively. In fully adjusted models, baseline C-score predicted 2-year MCIW pain (OR: 1.27, 95% CI: 1.00–1.62, p=0.047). In sex-stratified models, the odds ratios for 2-year MCIW pain in women and men were 1.49 (95% CI: 1.10–2.01, p=0.0159) and 1.01 (95% CI: 0.70–1.47, p=0.95), respectively.

CONCLUSION

Higher C-scores in women were significantly associated with worsening knee pain over 2 years, suggesting the C-score as a potential predictive biomarker for knee pain progression.
负重ct基线c评分预测2年女性膝关节疼痛恶化
b评分是通过非负重MRI评估股骨形状及其与膝关节OA的关系得出的统计评分。然而,CT扫描可以提供更可靠、更有力的骨形状评估,因为它们不仅可以更清晰地区分骨骼和软组织,还可以消除MRI可能出现的畸变伪影。目的:研究一种新的CT股骨骨形状“c评分”作为预测患有或有患膝骨关节炎风险的男性和女性膝关节疼痛恶化的成像生物标志物。方法本研究包括389名参与者(219名女性)的649个膝关节,平均±SD年龄为63.8±9.6岁,BMI为28.5±5.0 kg/m²。根据膝关节的基线负重CT (WBCT)成像计算c评分:0.37 mm体素,FOV 30 × 20 cm, 120 kVp, 5.0 mA(在美国宾夕法尼亚州沃灵顿的Curvebeam LLC的一台line扫描仪上)。使用Stradview对所有远端股骨进行分割以产生表面网格。使用wxRegSurf对每个个体股骨注册一个规范的远端股骨网格,以建立研究群体形状模型。使用MATLAB中的自定义脚本,从研究人群的平均KL0/1和KL2/3/4形状之间沿股骨形状矢量的距离得出每个膝关节的c评分。对于KL0/1人群,c评分的单个单位被标准化为1SD(图1)。根据年龄、性别、BMI和每位参与者最多2个膝关节调整的广义估计方程,用于评估基线c评分与西安大略省麦克马斯特大学骨关节炎量表(WOMAC)疼痛亚评分(2分)的2年最低临床重要恶化(MCIW)之间的关系。MCIW被定义为疼痛量表上的最小差异,患者认为其恶化或需要改变治疗。结果186例患者膝关节疼痛加重,其中女性32.71%,男性23.2%。98个膝关节有mcw疼痛(女性19.0%,男性9.8%)。c -评分女性为-2.64 ~ +3.34,男性为-3.96 ~ +2.83,平均±SD值分别为0.16±1.06和-0.52±1.01(两性差异p值p=0.0003)。无MCIW疼痛的妇女的平均c -评分为+0.31,而疼痛加重的妇女的平均c -评分为+0.72。男性的平均c -得分分别为-0.03和-0.01。在完全调整的模型中,基线c评分预测2年MCIW疼痛(OR: 1.27, 95% CI: 1.00-1.62, p=0.047)。在性别分层模型中,女性和男性2年MCIW疼痛的优势比分别为1.49 (95% CI: 1.10-2.01, p=0.0159)和1.01 (95% CI: 0.70-1.47, p=0.95)。结论:女性较高的c -评分与2年内膝关节疼痛恶化显著相关,提示c -评分可作为膝关节疼痛进展的潜在预测性生物标志物。
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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