Muscle Visualization and Evaluation Methods for Immune Checkpoint Inhibitor-Related Myositis

肌炎 医学 免疫系统 计算生物学 神经科学 计算机科学 免疫学 生物 病理
作者
Xinyue Lian,Nachuan Cheng,Chengqiang Xia,Zhiwei Chen,Yakai Fu,Jie Chen,Yiyangzi Ma,Shuhui Sun,Wenwen Xu,Wanlong Wu,Yan Ye,Xia Lv,Ting Li,Xiaodong Wang,Qiong Fu,Shuang Ye,Wenhua Zhu,Runci Wang
出处
期刊:Journal of Visualized Experiments [MyJOVE]
卷期号: (222) 被引量:1
标识
DOI:10.3791/68178
摘要

Immune checkpoint inhibitors (ICIs) have fundamentally transformed the landscape of cancer therapy, yet their administration frequently correlates with immune-related adverse events (irAEs), amongst which myositis, an inflammatory disorder affecting the muscles, stands out. The prompt identification and thorough assessment of myositis associated with ICIs are imperative for effective therapeutic management and the enhancement of patient prognoses. In this report, we present a detailed evaluation of muscle function aimed at accurately diagnosing and appraising ICI-related myositis. Essential diagnostic methodologies, such as clinical evaluations, assessments of muscle strength, the analysis of laboratory biomarkers, electromyography (EMG), imaging modalities, and muscle biopsies, are scrutinized. The complexities involved in differentiating ICI-induced myositis from other autoimmune disorders, as well as non-autoimmune conditions, are thoroughly explored. A focused evaluation of muscle-specific factors is essential for refining diagnostic precision, optimizing patient management strategies, and establishing standardized protocols for assessment. By addressing these critical aspects, we can facilitate a more nuanced understanding of ICI-related myositis, ultimately leading to improved outcomes for patients affected by this condition. This comprehensive approach not only aids in the timely recognition of myositis but also contributes to the broader aim of maximizing the efficacy of immunotherapy in oncological settings.
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
11111发布了新的文献求助10
1秒前
SciGPT应助天明采纳,获得10
1秒前
柒邪发布了新的文献求助30
1秒前
jing完成签到,获得积分10
1秒前
852应助104zw采纳,获得10
1秒前
1秒前
Annnn完成签到,获得积分10
1秒前
2秒前
miaomiao发布了新的文献求助10
2秒前
wy18567337203发布了新的文献求助10
2秒前
3秒前
小玉应助科研通管家采纳,获得10
4秒前
烟花应助科研通管家采纳,获得10
4秒前
所所应助科研通管家采纳,获得10
4秒前
Ava应助科研通管家采纳,获得10
4秒前
小玉应助科研通管家采纳,获得10
4秒前
无极微光应助科研通管家采纳,获得20
4秒前
4秒前
星辰大海应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
田様应助科研通管家采纳,获得10
5秒前
5秒前
李健应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
5秒前
陆三岁发布了新的文献求助10
5秒前
trigger完成签到,获得积分10
5秒前
lotus完成签到,获得积分10
6秒前
sagitar应助fei采纳,获得20
6秒前
楓秋完成签到 ,获得积分10
6秒前
courage发布了新的文献求助10
7秒前
7秒前
上官若男应助Ysk采纳,获得10
7秒前
皮蛋瘦肉粥完成签到,获得积分10
7秒前
香蕉觅云应助elang采纳,获得30
8秒前
8秒前
丶惑发布了新的文献求助10
9秒前
9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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6520384
求助须知:如何正确求助?哪些是违规求助? 8313350
关于积分的说明 17780555
捐赠科研通 5622453
什么是DOI,文献DOI怎么找? 2927149
邀请新用户注册赠送积分活动 1903985
关于科研通互助平台的介绍 1764384