Suppr超能文献

SHG纤维镜检查对胶原蛋白形态的评估及其在乳腺癌光学组织学中的潜力。

SHG Fiberscopy Assessment of Collagen Morphology and Its Potential for Breast Cancer Optical Histology.

作者信息

Hall Gunnsteinn, Liang Wenxuan, Bhujwalla Zaver M, Li Xingde

出版信息

IEEE Trans Biomed Eng. 2024 Aug;71(8):2414-2420. doi: 10.1109/TBME.2024.3372629. Epub 2024 Jul 18.

Abstract

OBJECTIVE

This study is to investigate the feasibility of our recently developed nonlinear fiberscope for label-free in situ breast tumor detection and lymph node status assessment based on second harmonic generation (SHG) imaging of fibrillar collagen matrix with histological details. The long-term goal is to improve the current biopsy-based cancer paradigm with reduced sampling errors.

METHODS

In this pilot study we undertook retrospective SHG imaging study of ex vivo invasive ductal carcinoma human biopsy tissue samples, and carried out quantitative image analysis to search for collagen structural signatures that are associated with the malignance of breast cancer.

RESULTS

SHG fiberscopy image-based quantitative assessment of collagen fiber morphology reveals that: 1) cancerous tissues contain generally less extracellular collagen fibers compared with tumor-adjacent normal tissues, and 2) collagen fibers in lymph node positive biopsies are more aligned than lymph node negative counterparts.

CONCLUSION/SIGNIFICANCE: The results demonstrate the promising potential of our SHG fiberscope for in situ breast tumor detection and lymph node involvement assessment and for offering real-time guidance during ongoing tissue biopsy.

摘要

目的

本研究旨在探讨我们最近开发的非线性纤维内镜基于纤维状胶原基质的二次谐波产生(SHG)成像及组织学细节用于无标记原位乳腺肿瘤检测和淋巴结状态评估的可行性。长期目标是改进当前基于活检的癌症模式,减少采样误差。

方法

在这项初步研究中,我们对离体浸润性导管癌人类活检组织样本进行了回顾性SHG成像研究,并进行了定量图像分析,以寻找与乳腺癌恶性程度相关的胶原结构特征。

结果

基于SHG纤维内镜图像的胶原纤维形态定量评估显示:1)与肿瘤相邻的正常组织相比,癌组织中细胞外胶原纤维通常较少;2)淋巴结阳性活检组织中的胶原纤维比淋巴结阴性活检组织中的胶原纤维排列更整齐。

结论/意义:结果表明我们的SHG纤维内镜在原位乳腺肿瘤检测和淋巴结受累评估以及在进行组织活检期间提供实时指导方面具有广阔的应用前景。

相似文献

本文引用的文献

1
Emerging Advances to Transform Histopathology Using Virtual Staining.利用虚拟染色改变组织病理学的新进展
BME Front. 2020 Aug 25;2020:9647163. doi: 10.34133/2020/9647163. eCollection 2020.
3
Breast Cancer Statistics, 2022.2022 年乳腺癌统计数据。
CA Cancer J Clin. 2022 Nov;72(6):524-541. doi: 10.3322/caac.21754. Epub 2022 Oct 3.

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