Elasticity-based identification of tumor margins using Brillouin spectroscopy

布里渊光谱学 弹性(物理) 布里渊散射 计算机科学 光谱学 布里渊区 光学 材料科学 光纤 物理 电信 复合材料 天文
作者
Maria Troyanova‐Wood,Zhaokai Meng,Vladislav V. Yakovlev
出处
期刊:Proceedings of SPIE 被引量:13
标识
DOI:10.1117/12.2213268
摘要

The purpose of this study is to demonstrate the efficacy of using Brillouin spectroscopy for differentiation between healthy and cancerous tissues. Previous studies of various cancers indicate that elasticity of the tumor differs from that of the surrounding tissue. We hypothesize that it is possible to distinguish between normal and malignant areas based on their Brillouin measurements. Brillouin spectroscopy is an emerging spectroscopic technique capable of assessing the local elasticity of samples by measuring the Brillouin shift. In the present study, we have used malignant melanoma tissue samples from Sinclair miniature swine to demonstrate the validity of our proposed application. We performed Brillouin measurements on healthy tissue, normal tumor and regressing tumor (as indicated by depigmentation of tissue). Overall, the tumors were found to be stiffer than the surrounding healthy tissue. However, the regressing tumor displayed the elastic properties closer to that of the healthy tissue. Based on the Brillouin measurements, we have successfully differentiated between the tumor and healthy tissues with a high degree of confidence (p<104 for normal tumor, p<0.05 for regressing tumor). Our results indicate that Brillouin spectroscopy is an appropriate tool to not only pinpoint tumor boundaries, but also to monitor tumor growth or evaluate its response to 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
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
bofu发布了新的文献求助10
刚刚
单纯的凡雁完成签到,获得积分20
刚刚
刚刚
ailsa完成签到 ,获得积分10
2秒前
2秒前
3秒前
3秒前
4秒前
momo发布了新的文献求助10
5秒前
5秒前
畅快海云完成签到 ,获得积分10
6秒前
bofu发布了新的文献求助30
6秒前
小曾发布了新的文献求助10
7秒前
7秒前
JW发布了新的文献求助10
7秒前
8秒前
8秒前
toniki完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
9秒前
超帅彩虹发布了新的文献求助10
9秒前
10秒前
CodeCraft应助健忘的藏花采纳,获得10
10秒前
沐紫心完成签到 ,获得积分10
11秒前
11秒前
11秒前
乾乾发布了新的文献求助10
11秒前
11秒前
bofu发布了新的文献求助30
12秒前
12秒前
沐秋发布了新的文献求助10
13秒前
14秒前
小曾完成签到,获得积分20
14秒前
15秒前
15秒前
绿兔子发布了新的文献求助10
15秒前
不会科研的研0完成签到 ,获得积分10
16秒前
Hu完成签到,获得积分10
16秒前
17秒前
Hello应助生椰拿铁采纳,获得30
18秒前
bofu发布了新的文献求助10
19秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
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
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
Interpretation of Mass Spectra, Fourth Edition 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 3956302
求助须知:如何正确求助?哪些是违规求助? 3502493
关于积分的说明 11108085
捐赠科研通 3233179
什么是DOI,文献DOI怎么找? 1787199
邀请新用户注册赠送积分活动 870515
科研通“疑难数据库(出版商)”最低求助积分说明 802105