Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Label-free classification of breast cancer subtypes in ex vivo human tissues using Raman spectroscopy and machine learning.

Scientific reports·2026
Same author

Delphi consensus on ex vivo fluorescence confocal microscopy in robot-assisted radical prostatectomy.

BJU international·2026
Same author

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy.

BJU international·2026
Same author

Reply to Gonglin Tang and Hongwei Zhao's Letter to the Editor re: Nikhil Mayor, Alexander Light, Anna Silvanto, et al. IP8-FLUORESCE: A Prospective Paired Cohort Study Evaluating the Diagnostic Accuracy of Fluorescence Confocal Microscopy for Real-time Assessment of Surgical Margins in Radical Prostatectomy. Eur Urol. 2026;89:223-32.

European urology·2026
Same author

The LaserSAFE technique for margin assessment during radical prostatectomy: a feasibility study.

BJU international·2025
Same author

Five-year Outcomes for Men after Negative Magnetic Resonance Imaging (MRI) or Negative Biopsy in the RAPID MRI-directed Prostate Cancer Diagnostic Pathway.

European urology·2025

相关实验视频

Updated: Sep 13, 2025

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery
11:05

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

Published on: September 19, 2014

12.3K

扩散反射和光光谱学用于乳房保护手术.

Dhurka Shanthakumar1, Vadzim Chalau2, Yufeng Shi2

  • 1Department of Surgery & Cancer, Imperial College London, London, UK. dshanthakumar08@gmail.com.

Breast cancer research and treatment
|August 1, 2025
PubMed
概括

这项研究表明,扩散反射光谱 (DRS) 和激光诱导内在光光谱 (IFS) 可以将乳腺癌与正常组织区分开来. 需要进行进一步的体内测试,以评估手术内利率.

关键词:
乳腺癌,利率,这些问题.扩散反射光谱学 扩散反射光谱学在手术内进行利率评估,光谱学.内在的光是一种内在的光.

更多相关视频

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
10:35

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

8.0K
Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
08:56

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

11.1K

相关实验视频

Last Updated: Sep 13, 2025

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery
11:05

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

Published on: September 19, 2014

12.3K
Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
10:35

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

8.0K
Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
08:56

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

11.1K

科学领域:

  • 生物医学光学 生物医学光学
  • 手术瘤学手术瘤学
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 乳腺节约手术中的高再切割率源自积极切除边缘.
  • 准确的手术内边缘评估对于有效的乳腺癌治疗至关重要.
  • 正在探索新的光学技术,以改善外科手术的结果.

研究的目的:

  • 评估一种联合的扩散反射光谱 (DRS) 和激光诱导的内在光光谱 (IFS) 技术.
  • 为了确定DRS-IFS能否区分正常和癌症乳腺组织样本.
  • 评估DRS-IFS作为业内保证金评估工具的潜力.

主要方法:

  • 从138名患者的ex vivo乳腺组织样本使用手持式DRS-IFS探针进行了分析.
  • 用机器学习分类器获取和分析光谱数据.
  • 对表现进行了评估,对比了基因病理学基础真相,计算了灵敏度,特异性和AUC.

主要成果:

  • 从181个乳腺组织样本中收集了18349个光谱.
  • 一个极端梯度提升分类器实现了84%的灵敏度,61%的特异性和75%的整体诊断准确度.
  • 区分组织类型的曲线下的面积 (AUC) 为84%.

结论:

  • DRS-IFS技术在区分正常乳腺组织和乳腺癌方面表现出高的诊断准确性.
  • 这些发现表明DRS-IFS在业内保证金评估中的潜力.
  • 需要进一步的体内研究来验证实时手术环境中的诊断准确性.