• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
[Research Progress of Raman Spectroscopy in the Diagnosis of Early Lung Cancer].[拉曼光谱在早期肺癌诊断中的研究进展]
Zhongguo Fei Ai Za Zhi. 2018 Jul 20;21(7):560-564. doi: 10.3779/j.issn.1009-3419.2018.07.10.
2
Screening and staging for non-small cell lung cancer by serum laser Raman spectroscopy.基于血清激光拉曼光谱的非小细胞肺癌筛查和分期。
Spectrochim Acta A Mol Biomol Spectrosc. 2018 Aug 5;201:34-38. doi: 10.1016/j.saa.2018.04.002. Epub 2018 Apr 13.
3
Raman spectroscopic discrimination of normal and cancerous lung tissues.拉曼光谱法鉴别正常肺组织和癌性肺组织。
Spectrochim Acta A Mol Biomol Spectrosc. 2019 Aug 5;219:257-266. doi: 10.1016/j.saa.2019.04.055. Epub 2019 Apr 22.
4
Diagnosis of early-stage esophageal cancer by Raman spectroscopy and chemometric techniques.通过拉曼光谱和化学计量技术诊断早期食管癌
Analyst. 2016 Feb 7;141(3):1027-33. doi: 10.1039/c5an01323b. Epub 2015 Dec 23.
5
Real-time endoscopic Raman spectroscopy for in vivo early lung cancer detection.用于体内早期肺癌检测的实时内镜拉曼光谱技术。
J Biophotonics. 2017 Jan;10(1):98-110. doi: 10.1002/jbio.201500204. Epub 2016 Jan 8.
6
Dual-modal cancer detection based on optical pH sensing and Raman spectroscopy.基于光学 pH 传感和拉曼光谱的双模癌症检测。
J Biomed Opt. 2017 Oct;22(10):1-6. doi: 10.1117/1.JBO.22.10.105002.
7
Vision 20/20: the role of Raman spectroscopy in early stage cancer detection and feasibility for application in radiation therapy response assessment.视力20/20:拉曼光谱在早期癌症检测中的作用及应用于放射治疗反应评估的可行性。
Med Phys. 2014 May;41(5):050901. doi: 10.1118/1.4870981.
8
Rapid detection of lung cancer based on serum Raman spectroscopy and a support vector machine: a case-control study.基于血清拉曼光谱和支持向量机的肺癌快速检测:一项病例对照研究。
BMC Cancer. 2024 Jul 2;24(1):791. doi: 10.1186/s12885-024-12578-y.
9
Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancer.拉曼光谱学和化学计量学:一种潜在的癌症通用诊断方法。
Spectrochim Acta A Mol Biomol Spectrosc. 2019 Aug 5;219:463-487. doi: 10.1016/j.saa.2019.04.067. Epub 2019 Apr 25.
10
Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer.可解释机器学习辅助血清外泌体光学破译用于肺癌的早期检测、分期和亚型分类。
Anal Chem. 2024 Oct 15;96(41):16227-16235. doi: 10.1021/acs.analchem.4c02914. Epub 2024 Oct 3.

引用本文的文献

1
Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer.深度学习模型作为肺癌肿瘤病理学计算机辅助诊断的新趋势。
J Cancer. 2020 Mar 26;11(12):3615-3622. doi: 10.7150/jca.43268. eCollection 2020.

本文引用的文献

1
[Report of Cancer Incidence and Mortality in China, 2014].《2014年中国癌症发病与死亡报告》
Zhonghua Zhong Liu Za Zhi. 2018 Jan 23;40(1):5-13. doi: 10.3760/cma.j.issn.0253-3766.2018.01.002.
2
Cancer statistics, 2018.癌症统计数据,2018 年。
CA Cancer J Clin. 2018 Jan;68(1):7-30. doi: 10.3322/caac.21442. Epub 2018 Jan 4.
3
Selective Surface Enhanced Raman Scattering for Quantitative Detection of Lung Cancer Biomarkers in Superparticle@MOF Structure.超粒子@MOF 结构中用于肺癌生物标志物定量检测的选择性表面增强拉曼散射。
Adv Mater. 2018 Feb;30(5). doi: 10.1002/adma.201702275. Epub 2017 Dec 11.
4
Surface-enhanced Raman spectroscopy: bottlenecks and future directions.表面增强拉曼光谱:瓶颈与未来方向。
Chem Commun (Camb). 2017 Dec 19;54(1):10-25. doi: 10.1039/c7cc05979e.
5
Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer.深度学习与相干反斯托克斯拉曼散射成像相结合,用于肺癌的自动鉴别诊断。
J Biomed Opt. 2017 Oct;22(10):1-10. doi: 10.1117/1.JBO.22.10.106017.
6
Exosome Classification by Pattern Analysis of Surface-Enhanced Raman Spectroscopy Data for Lung Cancer Diagnosis.基于表面增强拉曼光谱数据分析的外泌体分类在肺癌诊断中的应用。
Anal Chem. 2017 Jun 20;89(12):6695-6701. doi: 10.1021/acs.analchem.7b00911. Epub 2017 Jun 5.
7
Ultrasensitive Surface-Enhanced Raman Scattering Sensor of Gaseous Aldehydes as Biomarkers of Lung Cancer on Dendritic Ag Nanocrystals.基于树枝状 Ag 纳米晶的用于肺癌生物标志物气态醛的超高灵敏表面增强拉曼散射传感器。
Anal Chem. 2017 Feb 7;89(3):1416-1420. doi: 10.1021/acs.analchem.6b05117. Epub 2017 Jan 13.
8
Long-term Survival Based on the Surgical Approach to Lobectomy For Clinical Stage I Nonsmall Cell Lung Cancer: Comparison of Robotic, Video-assisted Thoracic Surgery, and Thoracotomy Lobectomy.基于临床I期非小细胞肺癌肺叶切除术手术方式的长期生存情况:机器人手术、电视辅助胸腔镜手术和开胸肺叶切除术的比较
Ann Surg. 2017 Feb;265(2):431-437. doi: 10.1097/SLA.0000000000001708.
9
Urinary Metabolite Risk Biomarkers of Lung Cancer: A Prospective Cohort Study.肺癌的尿液代谢物风险生物标志物:一项前瞻性队列研究。
Cancer Epidemiol Biomarkers Prev. 2016 Jun;25(6):978-86. doi: 10.1158/1055-9965.EPI-15-1191. Epub 2016 Mar 24.
10
Real-time endoscopic Raman spectroscopy for in vivo early lung cancer detection.用于体内早期肺癌检测的实时内镜拉曼光谱技术。
J Biophotonics. 2017 Jan;10(1):98-110. doi: 10.1002/jbio.201500204. Epub 2016 Jan 8.

[拉曼光谱在早期肺癌诊断中的研究进展]

[Research Progress of Raman Spectroscopy in the Diagnosis of Early Lung Cancer].

作者信息

Tian Xiaoru, Zhang Yi

机构信息

Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.

出版信息

Zhongguo Fei Ai Za Zhi. 2018 Jul 20;21(7):560-564. doi: 10.3779/j.issn.1009-3419.2018.07.10.

DOI:10.3779/j.issn.1009-3419.2018.07.10
PMID:30037378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6058664/
Abstract

Lung cancer (LC) is the most common cancer and the leading cause of cancer-related death worldwide. The 5-year survival rate for LC remains low at 18% and is 5% for patients with metastatic disease, while the 5-year overall survival rate of patients with stage I NSCLC can reach 77.9%, hence early diagnosis and treatment of LC is the key to improve the prognosis. As a non-invasive detection technique, Raman spectroscopy can realize the non-destructive detection of the differences in molecular level structure between cancerous tissues and normal tissues, which can be used for the early diagnosis of lung cancer. The aim of this review is to summarize the progress of Raman spectroscopycombined with different tissue or body fluid samplesin the diagnosis of early LC.
.

摘要

肺癌(LC)是全球最常见的癌症,也是癌症相关死亡的主要原因。肺癌的5年生存率仍然很低,仅为18%,而转移性疾病患者的5年生存率为5%,而I期非小细胞肺癌患者的5年总生存率可达77.9%,因此肺癌的早期诊断和治疗是改善预后的关键。作为一种非侵入性检测技术,拉曼光谱可以实现对癌组织和正常组织之间分子水平结构差异的无损检测,可用于肺癌的早期诊断。本综述的目的是总结拉曼光谱结合不同组织或体液样本在早期肺癌诊断中的研究进展。