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通过定量半月板损伤参数预测新发放射学膝关节骨关节炎:来自骨关节炎倡议的数据。

Predicting incident radiographic knee osteoarthritis through quantitative meniscal lesion parameters: data from the osteoarthritis initiative.

机构信息

The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.

School of Basic Medical Sciences, Anhui Medical University, Hefei, 230000, China.

出版信息

BMC Musculoskelet Disord. 2024 Aug 6;25(1):626. doi: 10.1186/s12891-024-07706-5.

DOI:10.1186/s12891-024-07706-5
PMID:39107768
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11304704/
Abstract

BACKGROUND

This study investigates the potential of novel meniscal parameters as predictive factors for incident radiographic knee osteoarthritis (ROA) over a span of four years, as part of the Osteoarthritis Initiative (OAI) study.

OBJECTIVES

Quantitative measurements of meniscal parameters alteration could serve as predictors of OA's occurrence and progression.

METHODS AND MATERIALS

A nested matched case-control study design was used to select participants from OAI study. Case knees (n = 178) were defined as those with incident ROA (Kellgren Lawrence Grade (KLG) 0 or 1 at baseline (BL), evolving into KLG 2 or above by year 4). Control knees were matched one-to-one by sex, age and radiographic status with case knees. The mean distance from medial-to-lateral meniscal lesions [Mean(MLD)], mean value of tibial plateau width [Mean(TPW)] and the mean of the relative percentage of the medial-to-lateral meniscal lesions distance [Mean(RMLD)] were evaluated through coronal T2-weighted turbo spin echo (TSE) MRI at P-0 (visit when incident ROA was found on radiograph), P-1(one year prior to P-0) and baseline, respectively. Using the imaging data of one patient, the mechanism was investigated by finite element analysis.

RESULTS

Participants were on average 60.22 years old, predominantly female (66.7%) and overweight (mean BMI: 28.15). Mean(MLD) and Mean(RMLD) were significantly greater for incident knees compared to no incident knees at baseline, P-1 and P-0. [Mean(MLD), Mean(RMLD); (42.56-49.73) mean ± (7.70-9.52) mm SD vs. (38.14-40.78) mean ± (5.51-7.05)mm SD; (58.61-68.95) mean ± (8.52-11.40) mm SD vs. (52.52-56.35) mean ± (6.53-7.85)mm SD, respectively]. Baseline Mean(MLD) and Mean(RMLD), [Adjusted OR, 95%CI: 1.11(1.07 to 1.16) and 1.13(1.09 to 1.17), respectively], were associated with incident ROA during 4 years, However, Mean(TPW) [Adjusted OR, 95%CI: 0.98(0.94 to 1.02)] was not associated with incident ROA during 4 years. While Mean(TPW) at P-1 and P-0 was not associated with the risk of incident ROA, Mean(MLD) and Mean(RMLD) at P-1 and P-0 were significantly positively associated with the risk of incident ROA.

CONCLUSIONS

The meniscal parameters alteration could be an important imaging biomarker to predict the occurrence of ROA.

摘要

背景

本研究旨在探讨新的半月板参数作为预测因素的潜力,这些因素可预测在四年内发生的放射性膝关节骨关节炎(ROA),这是骨关节炎倡议(OAI)研究的一部分。

目的

半月板参数改变的定量测量可作为 OA 发生和进展的预测因子。

方法和材料

采用嵌套匹配病例对照研究设计,从 OAI 研究中选择参与者。病例膝关节(n=178)定义为在基线(BL)时发生 ROA(Kellgren Lawrence 分级(KLG)0 或 1,在第 4 年进展为 KLG 2 或更高)的膝关节。对照膝关节通过性别、年龄和放射学状态与病例膝关节进行一对一匹配。通过冠状位 T2 加权涡轮自旋回波(TSE)MRI 在 P-0(影像学上发现 ROA 时的就诊时间)、P-1(P-0 前一年)和基线分别评估内侧到外侧半月板病变的平均距离[平均(MLD)]、胫骨平台宽度的平均值[平均(TPW)]和内侧到外侧半月板病变距离的相对百分比平均值[平均(RMLD)]。使用一位患者的影像学数据,通过有限元分析研究其机制。

结果

参与者的平均年龄为 60.22 岁,主要为女性(66.7%)和超重(平均 BMI:28.15)。与无 ROA 发生的膝关节相比,基线、P-1 和 P-0 时的病例膝关节的平均(MLD)和平均(RMLD)均显著增加[平均(MLD)、平均(RMLD);(42.56-49.73)平均值±(7.70-9.52)mm SD 与(38.14-40.78)平均值±(5.51-7.05)mm SD;(58.61-68.95)平均值±(8.52-11.40)mm SD 与(52.52-56.35)平均值±(6.53-7.85)mm SD,分别]。基线平均(MLD)和平均(RMLD)[调整后的 OR,95%CI:1.11(1.07 至 1.16)和 1.13(1.09 至 1.17)]与 4 年内发生的 ROA 相关,但平均(TPW)[调整后的 OR,95%CI:0.98(0.94 至 1.02)]与 4 年内发生的 ROA 不相关。虽然 P-1 和 P-0 时的平均(TPW)与 ROA 发生的风险无关,但 P-1 和 P-0 时的平均(MLD)和平均(RMLD)与 ROA 发生的风险呈显著正相关。

结论

半月板参数的改变可能是预测 ROA 发生的重要影像学生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cc0/11304704/441d5d37e069/12891_2024_7706_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cc0/11304704/da93976adb87/12891_2024_7706_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cc0/11304704/da93976adb87/12891_2024_7706_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cc0/11304704/63521d498ecb/12891_2024_7706_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cc0/11304704/115bf17efcc9/12891_2024_7706_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cc0/11304704/441d5d37e069/12891_2024_7706_Fig4_HTML.jpg

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