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:9
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
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
mm完成签到 ,获得积分10
刚刚
AJY发布了新的文献求助10
1秒前
2秒前
科研通AI2S应助甘草采纳,获得10
2秒前
阳光雨发布了新的文献求助20
2秒前
大模型应助一一采纳,获得30
4秒前
17完成签到,获得积分10
5秒前
NexusExplorer应助内向的铁身采纳,获得10
5秒前
邢文瑞发布了新的文献求助10
7秒前
8秒前
CodeCraft应助一个靓仔采纳,获得10
11秒前
12秒前
调皮雨灵完成签到 ,获得积分10
12秒前
hao完成签到,获得积分10
12秒前
英俊的铭应助沙漠大雕采纳,获得10
13秒前
zhq发布了新的文献求助10
13秒前
尛诺完成签到,获得积分10
14秒前
15秒前
芒果发布了新的文献求助10
16秒前
mm发布了新的文献求助10
16秒前
16秒前
Willer完成签到,获得积分10
17秒前
上官若男应助aiyawy采纳,获得10
19秒前
二十五完成签到,获得积分10
19秒前
20秒前
小马甲应助WN采纳,获得10
20秒前
youlico完成签到 ,获得积分10
20秒前
22秒前
23秒前
丁丁猫发布了新的文献求助10
24秒前
八里完成签到,获得积分10
24秒前
24秒前
guard发布了新的文献求助10
26秒前
qy完成签到,获得积分10
29秒前
星辰大海应助Steven采纳,获得10
30秒前
方法发布了新的文献求助10
31秒前
Orange应助天玄一刀采纳,获得10
32秒前
彭于晏应助Billie采纳,获得10
33秒前
风清扬发布了新的文献求助10
34秒前
35秒前
高分求助中
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
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 500
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 3962893
求助须知:如何正确求助?哪些是违规求助? 3508839
关于积分的说明 11143458
捐赠科研通 3241757
什么是DOI,文献DOI怎么找? 1791651
邀请新用户注册赠送积分活动 873058
科研通“疑难数据库(出版商)”最低求助积分说明 803579