Impact of walking on knee articular cartilage T2 values estimated with a dictionary-based approach - A pilot study

IF 2.5 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
J.M. Coelho , T.T. Fernandes , S.M. Alves , R.G. Nunes , L. Nogueira , A. Oliveira
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引用次数: 0

Abstract

Introduction

Walking is crucial for knee articular cartilage (KAC) health. Routine MRI sequences lack sensitivity for early cartilage changes, and the use of parametric T2 maps to study the effect of walking on KAC composition is limited. This study aimed to evaluate if quantitative T2 maps using an Echo Modulation Curve (EMC) matching algorithm can detect KAC T2 variations due to water content changes after walking.

Methods

Seven asymptomatic volunteers (3 females, 4 males, mean age 28.3 years) without knee pathologies participated. Sagittal knee MRI scans were performed before and after a 9-min treadmill walk using a Modified Bruce protocol. T2-weighted Multi-Echo Spin-Echo KAC images were acquired at 3T. Tibiofemoral cartilage was segmented semi-automatically on three slices per knee, defining 39 KAC samples. Quantitative T2 maps were created using a dictionary-matching algorithm. Paired t-tests assessed exercise impact on KAC T2 values, independent t-tests compared group differences, and Friedman test with Bonferroni correction evaluated regional T2 changes.

Results

Walking increased KAC T2 values (mean difference (md) 0.61 ± 1.71 ms; p = 0.016). Significant differences were observed in “normal” BMI group (md 0.69 ± 1.27 ms; p = 0.021). Regional analysis revealed significant differences in medial femur in males (md 0.9 ± 2.1 ms; p = 0.049) and lateral tibia in females (md 1.4 ± 2.5 ms; p = 0.046). The medial tibia showed significant differences across sub-regions (p = 0.026).

Conclusion

Quantitative T2 maps using the EMC matching algorithm detected consistent changes in KAC T2 values after a short walking period.

Implications for practice

EMC quantitative T2 maps effectively detected knee cartilage changes post-walking. This technique could improve cartilage hydration assessments, aiding early detection in at-risk patients. It also suggests potential for personalized monitoring and rehabilitation, advancing musculoskeletal imaging and non-invasive joint health monitoring.

Abstract Image

基于字典的方法估算的步行对膝关节软骨 T2 值的影响--一项试点研究。
简介步行对膝关节软骨(KAC)的健康至关重要。常规磁共振成像序列对软骨的早期变化缺乏敏感性,使用参数 T2 图研究步行对 KAC 组成的影响也很有限。本研究旨在评估使用回波调制曲线(EMC)匹配算法绘制的定量T2图是否能检测出行走后水分含量变化引起的KAC T2变化:七名无膝关节病变的无症状志愿者(3 名女性,4 名男性,平均年龄 28.3 岁)参加了此次研究。采用 "改良布鲁斯 "方案,在 9 分钟跑步机行走前后进行膝关节矢状位核磁共振扫描。在 3T 下采集了 T2 加权多回波自旋回波 KAC 图像。在每个膝关节的三个切片上对胫股软骨进行半自动分割,定义了39个KAC样本。使用字典匹配算法创建定量 T2 图。配对t检验评估运动对KAC T2值的影响,独立t检验比较组间差异,Friedman检验结合Bonferroni校正评估区域T2变化:步行增加了 KAC T2 值(平均差异 (md) 0.61 ± 1.71 ms; p = 0.016)。在 "正常 "体重指数组观察到显著差异(md 0.69 ± 1.27 ms; p = 0.021)。区域分析显示,男性股骨内侧(md 0.9 ± 2.1 ms;p = 0.049)和女性胫骨外侧(md 1.4 ± 2.5 ms;p = 0.046)存在显著差异。胫骨内侧在各亚区域之间存在显著差异(p = 0.026):结论:使用 EMC 匹配算法绘制的 T2 定量图能检测到短时间行走后 KAC T2 值的一致变化:EMC定量T2图能有效检测到行走后膝关节软骨的变化。这项技术可以改善软骨水合评估,帮助早期发现高危患者。它还为个性化监测和康复提供了潜力,推动了肌肉骨骼成像和无创关节健康监测的发展。
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
Radiography
Radiography RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.70
自引率
34.60%
发文量
169
审稿时长
63 days
期刊介绍: Radiography is an International, English language, peer-reviewed journal of diagnostic imaging and radiation therapy. Radiography is the official professional journal of the College of Radiographers and is published quarterly. Radiography aims to publish the highest quality material, both clinical and scientific, on all aspects of diagnostic imaging and radiation therapy and oncology.
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