Assessing post-traumatic changes in cartilage using T1 dispersion parameters

色散(光学) 软骨 振幅 骨关节炎 生物医学工程 核磁共振 变性(医学) 材料科学 翻转角度 关节软骨 磁共振成像 光学 病理 医学 放射科 解剖 物理 替代医学
作者
Hassaan Elsayed,Jouni Karjalainen,Mikko J. Nissi,Juuso H. Ketola,Abdul Wahed Kajabi,Victor Casula,Štefan Zbýň,Miika T. Nieminen,Matti Hanni
出处
期刊:Magnetic Resonance Imaging [Elsevier BV]
卷期号:97: 91-101 被引量:3
标识
DOI:10.1016/j.mri.2022.12.012
摘要

Degeneration of cartilage can be studied non-invasively with quantitative MRI. A promising parameter for detecting early osteoarthritis in articular cartilage is T1ρ, which can be tuned via the amplitude of the spin-lock pulse. By measuring T1ρ at several spin-lock amplitudes, the dispersion of T1ρ is obtained. The aim of this study is to find out if the dispersion contains diagnostically relevant information complementary to a T1ρ measurement at a single spin-lock amplitude. To this end, five differently acquired dispersion parameters are utilized; A, B, τc, T1ρ/T2, and R2 − R1ρ. An open dataset of an equine model of post-traumatic cartilage was utilized to assess the T1ρ dispersion parameters for the evaluation of cartilage degeneration. Firstly, the parameters were compared for their sensitivity in detecting degenerative changes. Secondly, the relationship of the dispersion parameters to histological and biomechanical reference parameters was studied. Parameters A, T1ρ/T2, and R2 − R1ρ were found to be sensitive to lesion-induced changes in the cartilage within sample. Strong correlations of several dispersion parameters with optical density, as well as with collagen fibril angle were found. Most of the dispersion parameters correlated strongly with individual T1ρ values. The results suggest that dispersion parameters can in some cases provide a more accurate description of the biochemical composition of cartilage as compared to conventional MRI parameters. However, in most cases the information given by the dispersion parameters is more of a refinement than complementary to conventional quantitative MRI.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
只铃子发布了新的文献求助10
1秒前
脑洞疼应助李咏贤采纳,获得10
1秒前
kitchup发布了新的文献求助30
2秒前
wfwt88发布了新的文献求助10
2秒前
小马甲应助yiyi采纳,获得10
4秒前
燕子发布了新的文献求助30
4秒前
安静海露发布了新的文献求助10
5秒前
khaosyi完成签到 ,获得积分10
5秒前
彭于晏应助maoy采纳,获得10
8秒前
钟小熊完成签到,获得积分10
9秒前
薄荷微凉关注了科研通微信公众号
12秒前
13秒前
搜集达人应助啦啦啦采纳,获得30
14秒前
爆米花应助啦啦啦啦采纳,获得10
15秒前
领导范儿应助小韩同学采纳,获得10
16秒前
梨花酒完成签到,获得积分10
17秒前
糖糖发布了新的文献求助10
18秒前
22秒前
26秒前
小韩同学发布了新的文献求助10
28秒前
zzt发布了新的文献求助10
29秒前
故意的山河完成签到,获得积分10
29秒前
jin应助Charlie采纳,获得20
29秒前
量子星尘发布了新的文献求助10
31秒前
人间完成签到,获得积分10
32秒前
34秒前
xin发布了新的文献求助10
35秒前
某慧发布了新的文献求助20
39秒前
糖糖完成签到,获得积分10
40秒前
maoy发布了新的文献求助10
40秒前
40秒前
湘湘完成签到,获得积分10
41秒前
赘婿应助徐雪雯采纳,获得10
43秒前
fdscat发布了新的文献求助10
44秒前
44秒前
科研通AI2S应助活力山蝶采纳,获得10
46秒前
jing发布了新的文献求助20
47秒前
zd发布了新的文献求助10
48秒前
湘湘发布了新的文献求助10
48秒前
awrawsaf发布了新的文献求助10
48秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3959821
求助须知:如何正确求助?哪些是违规求助? 3506056
关于积分的说明 11127696
捐赠科研通 3237994
什么是DOI,文献DOI怎么找? 1789429
邀请新用户注册赠送积分活动 871773
科研通“疑难数据库(出版商)”最低求助积分说明 803021