医学
恶性肿瘤
光学相干层析成像
乳腺癌
癌症
黑色素瘤
组织病理学
放射科
活检
临床前影像学
离体
体内
病理
内科学
生物技术
癌症研究
生物
作者
Sarah J. Erickson-Bhatt,Ryan M. Nolan,Nathan D. Shemonski,Steven G. Adie,Jeffrey Putney,Donald Darga,Daniel T. McCormick,Andrew J. Cittadine,Adam M. Zysk,Marina Marjanović,Eric J. Chaney,Guillermo L. Monroy,Fredrick A. South,Kimberly A. Cradock,Z. George Liu,Magesh Sundaram,Partha S. Ray,Stephen A. Boppart
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2015-09-14
卷期号:75 (18): 3706-3712
被引量:128
标识
DOI:10.1158/0008-5472.can-15-0464
摘要
Abstract Wide local excision (WLE) is a common surgical intervention for solid tumors such as those in melanoma, breast, pancreatic, and gastrointestinal cancer. However, adequate margin assessment during WLE remains a significant challenge, resulting in surgical reinterventions to achieve adequate local control. Currently, no label-free imaging method is available for surgeons to examine the resection bed in vivo for microscopic residual cancer. Optical coherence tomography (OCT) enables real-time high-resolution imaging of tissue microstructure. Previous studies have demonstrated that OCT analysis of excised tissue specimens can distinguish between normal and cancerous tissues by identifying the heterogeneous and disorganized microscopic tissue structures indicative of malignancy. In this translational study involving 35 patients, a handheld surgical OCT imaging probe was developed for in vivo use to assess margins both in the resection bed and on excised specimens for the microscopic presence of cancer. The image results from OCT showed structural differences between normal and cancerous tissue within the resection bed following WLE of the human breast. The ex vivo images were compared with standard postoperative histopathology to yield sensitivity of 91.7% [95% confidence interval (CI), 62.5%–100%] and specificity of 92.1% (95% CI, 78.4%–98%). This study demonstrates in vivo OCT imaging of the resection bed during WLE with the potential for real-time microscopic image-guided surgery. Cancer Res; 75(18); 3706–12. ©2015 AACR.
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