Quantitative MRI for Evaluation of Musculoskeletal Disease

磁共振成像 医学 生物医学工程 放射科
作者
Brendan Eck,Mingrui Yang,John J. Elias,Carl S. Winalski,Faysal Altahawi,Naveen Subhas,Xiaojuan Li
出处
期刊:Investigative Radiology [Lippincott Williams & Wilkins]
卷期号:58 (1): 60-75 被引量:10
标识
DOI:10.1097/rli.0000000000000909
摘要

Abstract Magnetic resonance imaging (MRI) is a valuable tool for evaluating musculoskeletal disease as it offers a range of image contrasts that are sensitive to underlying tissue biochemical composition and microstructure. Although MRI has the ability to provide high-resolution, information-rich images suitable for musculoskeletal applications, most MRI utilization remains in qualitative evaluation. Quantitative MRI (qMRI) provides additional value beyond qualitative assessment via objective metrics that can support disease characterization, disease progression monitoring, or therapy response. In this review, musculoskeletal qMRI techniques are summarized with a focus on techniques developed for osteoarthritis evaluation. Cartilage compositional MRI methods are described with a detailed discussion on relaxometric mapping (T 2 , T 2 *, T 1ρ ) without contrast agents. Methods to assess inflammation are described, including perfusion imaging, volume and signal changes, contrast-enhanced T 1 mapping, and semiquantitative scoring systems. Quantitative characterization of structure and function by bone shape modeling and joint kinematics are described. Muscle evaluation by qMRI is discussed, including size (area, volume), relaxometric mapping (T 1 , T 2 , T 1ρ ), fat fraction quantification, diffusion imaging, and metabolic assessment by 31 P-MR and creatine chemical exchange saturation transfer. Other notable technologies to support qMRI in musculoskeletal evaluation are described, including magnetic resonance fingerprinting, ultrashort echo time imaging, ultrahigh-field MRI, and hybrid MRI-positron emission tomography. Challenges for adopting and using qMRI in musculoskeletal evaluation are discussed, including the need for metal artifact suppression and qMRI standardization.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
wy4869发布了新的文献求助10
刚刚
thynkz完成签到,获得积分10
1秒前
卡卡完成签到 ,获得积分10
1秒前
魔术师发布了新的文献求助10
1秒前
2秒前
ye发布了新的文献求助10
2秒前
小夏完成签到,获得积分10
2秒前
天天快乐应助Woho采纳,获得10
2秒前
2秒前
Rich发布了新的文献求助30
2秒前
蓝天驳回了Hello应助
2秒前
传奇3应助Gel采纳,获得10
2秒前
科研通AI6.4应助美丽涵菱采纳,获得10
3秒前
3秒前
风月三千界完成签到 ,获得积分10
3秒前
alan完成签到,获得积分20
3秒前
4秒前
一一发布了新的文献求助10
4秒前
搜集达人应助科研通管家采纳,获得10
4秒前
njseu发布了新的文献求助10
4秒前
小蘑菇应助科研通管家采纳,获得10
4秒前
5秒前
5秒前
xzh应助科研通管家采纳,获得10
5秒前
Avalonx应助科研通管家采纳,获得10
5秒前
5秒前
cdercder应助科研通管家采纳,获得10
5秒前
所所应助科研通管家采纳,获得10
5秒前
烟花应助科研通管家采纳,获得10
5秒前
果里里发布了新的文献求助10
5秒前
科目三应助科研通管家采纳,获得10
5秒前
Avalonx应助科研通管家采纳,获得10
5秒前
脑洞疼应助科研通管家采纳,获得10
5秒前
cdercder应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
iitj应助科研通管家采纳,获得20
6秒前
6秒前
cdercder应助科研通管家采纳,获得10
6秒前
6秒前
Joel应助科研通管家采纳,获得10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7308835
求助须知:如何正确求助?哪些是违规求助? 8926211
关于积分的说明 18917315
捐赠科研通 6971185
什么是DOI,文献DOI怎么找? 3212864
关于科研通互助平台的介绍 2381358
邀请新用户注册赠送积分活动 2190650