MRI Texture Analysis of Inguinal Lymph Node Metastasis in Vulvar Cancer – Associations With Histopathology

组织病理学 外阴癌 淋巴结转移 医学 腹股沟淋巴结 转移 病理 淋巴结 癌症 放射科 外阴 内科学
作者
Jakob Leonhardi,LARS-CHRISTIAN HORN,Bahriye Aktas,Timm Denecke,Anne-Kathrin Höhn,Hans‐Jonas Meyer
出处
期刊:Anticancer Research [International Institute of Anticancer Research (IIAR) Conferences 1997. Athens, Greece. Abstracts]
卷期号:44 (6): 2709-2716 被引量:1
标识
DOI:10.21873/anticanres.17078
摘要

Background/Aim: Texture analysis is a quantitative imaging technique that provides novel biomarkers beyond conventional image reading. This study aimed to investigate the correlation between texture parameters and histopathological features of lymph nodes in patients with vulvar cancer. Patients and Methods: Overall, nine female patients (mean age 70.1±13.4 years, range=39-87 years) were included in the analysis. All patients had squamous cell carcinomas and underwent upfront surgery with inguinal lymph node resection. Immunohistochemical assessment was performed using several markers of the epithelial-mesenchymal transition. The presurgical magnetic resonance imaging (MRI) was analyzed with the MaZda package. Results: In discrimination analysis, several parameters derived from T1-weighted images showed statistically significant differences between non-metastatic and metastatic lymph nodes. The highest statistical significance was reached by the texture feature "S(0,3)InvDfMom" (p=0.016). In correlation analysis, significant associations were found between MRI texture parameters derived from both T1-weighted and T2-weighted images and the investigated histopathological features. Notably, S(0,3)InvDfMom derived from T1-weighted images highly correlated with the Vimentin-score (r=0.908, p=0.001). Conclusion: Several associations between MRI texture analysis and immunohistochemical parameters were identified in metastasized lymph nodes of cases with vulvar cancer.

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
润物无声完成签到,获得积分10
1秒前
欢喜完成签到,获得积分10
2秒前
隐形的西牛完成签到,获得积分10
3秒前
彭于晏应助来来采纳,获得10
4秒前
5秒前
li发布了新的文献求助10
5秒前
7秒前
会成功的小孩完成签到,获得积分10
7秒前
波谷完成签到,获得积分10
7秒前
冰安完成签到,获得积分10
8秒前
酷波er应助阳光采纳,获得10
9秒前
9秒前
顺子呀完成签到,获得积分10
9秒前
科研通AI6.2应助一和采纳,获得10
9秒前
ORALAB发布了新的文献求助10
9秒前
10秒前
3en0105完成签到,获得积分10
10秒前
zarik发布了新的文献求助10
11秒前
11秒前
12秒前
YumingYang完成签到,获得积分10
13秒前
111发布了新的文献求助10
14秒前
打打应助无私妙菡采纳,获得10
14秒前
15秒前
调皮从筠发布了新的文献求助10
15秒前
情怀应助欣慰的忻采纳,获得10
15秒前
JJFLYING发布了新的文献求助10
16秒前
yangzhang发布了新的文献求助10
16秒前
16秒前
16秒前
17秒前
bkagyin应助科研通管家采纳,获得10
18秒前
在水一方应助科研通管家采纳,获得10
18秒前
molihuakai应助科研通管家采纳,获得10
18秒前
大个应助科研通管家采纳,获得10
18秒前
汉堡包应助科研通管家采纳,获得10
18秒前
Lucas应助科研通管家采纳,获得10
18秒前
香蕉觅云应助科研通管家采纳,获得10
18秒前
orixero应助科研通管家采纳,获得10
18秒前
今后应助LKOBES采纳,获得10
18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
The Graphene Handbook (2019 Edition) 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Rehabilitation of Long-Standing Groin Pain in Athletes: A Scoping Review of Exercise Content and Reporting 500
The Immune System (Fifth Edition) 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 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 6580998
求助须知:如何正确求助?哪些是违规求助? 8356164
关于积分的说明 17895986
捐赠科研通 5719522
什么是DOI,文献DOI怎么找? 2948108
邀请新用户注册赠送积分活动 1923784
关于科研通互助平台的介绍 1807728