已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Diffusion Tensor Imaging of Brain Metastases in Patients with Breast Cancer According to Molecular Subtypes

乳腺癌 医学 磁共振弥散成像 部分各向异性 有效扩散系数 内科学 脑转移 肿瘤科 癌症 三阴性乳腺癌 病理 转移 磁共振成像 放射科
作者
İsmail Yurtsever,Lütfullah Sarı,Mehmet Ali Gültekin,Hüseyin Toprak,Hacı Mehmet Türk,Altay Aliyev,Abdüsselim Adil Peker,Ayşegül Yabacı,Alpay Alkan
出处
期刊:Current Medical Imaging Reviews [Bentham Science Publishers]
卷期号:17 (1): 120-128 被引量:3
标识
DOI:10.2174/1573405616666200621195655
摘要

Recent studies have shown that diffusion tensor imaging (DTI) parameters are used to follow the patients with breast cancer and correlate well as a prognostic parameter of breast cancer. However, as far as we know, there is no data to compare the DTI features of breast cancer brain metastases according to molecular subtypes in the literature. Our aim is to evaluate whether there are any differences in DTI parameters of brain metastases in patients with breast cancer according to molecular subtypes.Twenty-seven patients with breast cancer and 82 metastatic brain lesions were included. We classified subjects into three subgroups according to their hormone expression; Group 0, triple- negative (n; 6, 19 lesions), group 1, HER2-positive (n;16, 54 lesions) and group 2, hormone-- positive group (n; 5, 9 lesions). The apparent diffusion coefficient (ADC), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) values in DTI were measured and compared between three groups.ADC, AD and RD values of group 2 were significantly lower compared to group 0. No significant differences were found in FA, ADC, AD and RD values between the group 0 and 1 and the group 1 and 2.Metastasis of aggressive triple-negative breast cancer showed higher ADC values compared to the less aggressive hormone-positive group. Higher ADC values in brain metastases of breast cancer may indicate a poor prognosis, so DTI findings could play a role in planning appropriate treatment.
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
YYY完成签到 ,获得积分10
1秒前
所所应助LL采纳,获得10
1秒前
小蘑菇应助土豆采纳,获得10
1秒前
贪玩的采白完成签到 ,获得积分10
1秒前
1秒前
Lucas应助阿智采纳,获得10
2秒前
研友_VZG7GZ应助贺华采纳,获得10
3秒前
3秒前
闪电完成签到,获得积分10
3秒前
瘦瘦隶发布了新的文献求助10
4秒前
失眠追命完成签到,获得积分10
6秒前
6秒前
6秒前
Yuenna发布了新的文献求助10
6秒前
灵巧如凡完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
8秒前
8秒前
8秒前
8秒前
9秒前
XX应助科研通管家采纳,获得10
9秒前
shiyi0709应助科研通管家采纳,获得10
9秒前
自然老师应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
Emper发布了新的文献求助10
9秒前
XX应助科研通管家采纳,获得10
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
苹果饼干发布了新的文献求助10
9秒前
赘婿应助科研通管家采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
Orange应助科研通管家采纳,获得10
10秒前
10秒前
CodeCraft应助科研通管家采纳,获得10
10秒前
无极微光应助科研通管家采纳,获得20
10秒前
Yoga完成签到,获得积分10
11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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 7758961
求助须知:如何正确求助?哪些是违规求助? 9304735
关于积分的说明 20282599
捐赠科研通 7342906
什么是DOI,文献DOI怎么找? 3312365
关于科研通互助平台的介绍 2462997
邀请新用户注册赠送积分活动 2326330