Engineering nanoprobes for magnetic resonance imaging of brain diseases

磁共振成像 神经影像学 医学 功能磁共振成像 疾病 神经科学 脑病 计算机科学 病理 心理学 放射科
作者
Jingyi Zhang,Luodan Yu,Meihua Yu,Dehong Yu,Yu Chen,Jun Zhang
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:481: 148472-148472 被引量:5
标识
DOI:10.1016/j.cej.2023.148472
摘要

Increasing brain disease incidence has become a common cause of disability and death worldwide. Early diagnosis of brain diseases is crucial to improve the prognosis of patients and reduce the mortality rate. In this regard, magnetic resonance imaging (MRI) is now playing an essential role in the early diagnosis of brain diseases due to its high spatial resolution, outstanding performance of soft tissue imaging, high penetration depth, and noninvasiveness. Brain disease diagnosis by MRI has achieved significant progress, but distinguishing healthy tissues from diseased tissue needs to be substantially improved. The emergence and prosperous development of nanomaterials provides an efficient strategy for the construction of functional magnetic resonance nanoprobes. Based on the nanoprobes with high specificity, desirable sensitivity, prominent signal intensity, targeting, and controllable metabolism, we can achieve better imaging of brain diseases at the structural as well as functional level, which can further provide diagnostic and therapeutic values. In this comprehensive review, we summarized and discussed the current progress of engineering nanoprobes for MR imaging of brain diseases, ranging from the types of MRI probes, stimulus-responsive design, and BBB penetrating methods, to their versatile applications in several typical brain diseases. The unsettled challenges and future perspectives on the rational design of MRI nanoprobes and their further clinical translations have also been discussed and forecasted.
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
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
MOB发布了新的文献求助10
刚刚
刚刚
1秒前
11完成签到 ,获得积分10
1秒前
pK发布了新的文献求助10
1秒前
唐政清发布了新的文献求助10
2秒前
2秒前
2秒前
qq发布了新的文献求助10
2秒前
洁净的雪一完成签到 ,获得积分10
2秒前
科研通AI5应助冷酷的过客采纳,获得10
2秒前
怕黑荠应助热情的嫣娆采纳,获得10
2秒前
xuzekun完成签到,获得积分10
3秒前
斯文败类应助sumu112采纳,获得10
3秒前
张张包完成签到,获得积分10
4秒前
科目三应助qwjy采纳,获得30
6秒前
无印秀秀发布了新的文献求助10
7秒前
LIANG发布了新的文献求助30
8秒前
111111完成签到,获得积分10
8秒前
8秒前
8秒前
执执完成签到,获得积分10
8秒前
王欣瑶完成签到 ,获得积分10
8秒前
www发布了新的文献求助10
9秒前
9秒前
丹D发布了新的文献求助10
9秒前
9秒前
9秒前
9秒前
迟静完成签到,获得积分20
10秒前
科研通AI5应助炙热的寒烟采纳,获得30
11秒前
科目三应助和谐尔阳采纳,获得10
12秒前
13秒前
学术地瓜发布了新的文献求助10
13秒前
14秒前
LFJ发布了新的文献求助10
15秒前
明亮妙芙发布了新的文献求助10
15秒前
科研废物发布了新的文献求助10
16秒前
18秒前
端庄大船发布了新的文献求助10
18秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Time Matters: On Theory and Method 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3560954
求助须知:如何正确求助?哪些是违规求助? 3134721
关于积分的说明 9409376
捐赠科研通 2834952
什么是DOI,文献DOI怎么找? 1558345
邀请新用户注册赠送积分活动 728095
科研通“疑难数据库(出版商)”最低求助积分说明 716686