亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Diagnostic approach for mediastinal masses with radiopathological correlation

医学 恶性肿瘤 纵隔肿块 放射科 纵隔 鉴别诊断 淋巴瘤 病理
作者
Masashi Taka,Satoshi Kobayashi,Kaori Mizutomi,Dai Inoue,Shigeyuki Takamatsu,Toshifumi Gabata,Isao Matsumoto,Hiroko Ikeda,Takeshi Kobayashi,Hiroshi Minato,Hitoshi Abo
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:162: 110767-110767 被引量:15
标识
DOI:10.1016/j.ejrad.2023.110767
摘要

Purpose Mediastinal masses have various histopathological and radiological findings. Although lymphoma is the most common type of tumor, thymic epithelial and neurogenic tumors are common in adults and children, respectively, but several other types are difficult to distinguish. No previous review has simply and clearly shown how to differentiate mediastinal masses. Method We conducted a review of the latest mediastinal classifications and mass differentiation methods, with a focus on neoplastic lesions. Both older and recent studies were searched, and imaging and histopathological findings of mediastinal masses were reviewed. Original simple-to-use differentiation flowcharts are presented. Results Assessing localizations and internal characteristics is very important for mediastinal mass differentiation. The mass location and affected organ/tissue should be accurately assessed first, followed by more qualitative diagnosis, and optimization of the treatment strategy. In 2014, the International Thymic Malignancy Interest Group presented a new mediastinal clinical classification. In this classification, mediastinal masses are categorized into three groups according to location: prevascular (anterior)-, visceral (middle)-, and paravertebral (posterior)-compartment masses. Then, the internal characteristics and functional images are evaluated. Conclusions Differentiation of mediastinal masses is very difficult. However, if typical imaging findings and clinical characteristics are combined, reasonable differentiation is possible. In each patient, proper differential diagnosis may contribute to better treatment selection.
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
安详的忆安完成签到 ,获得积分10
刚刚
lchen完成签到,获得积分10
2秒前
CipherSage应助科研通管家采纳,获得10
2秒前
chenlin应助科研通管家采纳,获得30
2秒前
IfItheonlyone完成签到 ,获得积分10
2秒前
4秒前
王小乔完成签到 ,获得积分10
5秒前
粗心的书竹完成签到,获得积分10
8秒前
johnhush完成签到 ,获得积分10
8秒前
yanxueyi完成签到 ,获得积分10
9秒前
玖玖发布了新的文献求助10
11秒前
hill完成签到,获得积分10
15秒前
15秒前
研友_VZG7GZ应助hu采纳,获得10
19秒前
大力的保温杯完成签到 ,获得积分10
19秒前
青鱼同学完成签到 ,获得积分10
20秒前
情怀应助玖玖采纳,获得10
21秒前
从容冷安完成签到 ,获得积分10
24秒前
28秒前
丰富的灭绝完成签到 ,获得积分10
29秒前
32秒前
32秒前
33秒前
研友_LNoAMn发布了新的文献求助10
34秒前
海荷完成签到,获得积分10
35秒前
liujunchao完成签到,获得积分10
36秒前
heihei完成签到,获得积分10
37秒前
77发布了新的文献求助10
37秒前
39秒前
FashionBoy应助hsuan风向仪采纳,获得30
41秒前
研友_LNoAMn完成签到,获得积分10
44秒前
li完成签到,获得积分10
45秒前
斯文败类应助小破孩采纳,获得30
55秒前
77完成签到,获得积分10
58秒前
woshi123应助认真的乘风采纳,获得10
1分钟前
8R60d8完成签到,获得积分0
1分钟前
1分钟前
shentaii完成签到,获得积分0
1分钟前
Spice完成签到 ,获得积分10
1分钟前
小破孩发布了新的文献求助10
1分钟前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 7585298
求助须知:如何正确求助?哪些是违规求助? 9163618
关于积分的说明 19611544
捐赠科研通 7166673
什么是DOI,文献DOI怎么找? 3266600
关于科研通互助平台的介绍 2431588
邀请新用户注册赠送积分活动 2258276