医学
触诊
癌症手术
癌症
手术切缘
癌细胞
边距(机器学习)
病态的
放射科
外科
病理
内科学
机器学习
计算机科学
作者
Jonathan C. DeLong,Robert M. Hoffman,Michael Bouvet
标识
DOI:10.1586/14737140.2016.1121109
摘要
Curative cancer surgery is dependent on the removal of all primary tumor and metastatic cancer cells. Preoperative imaging, intraoperative inspection and palpation, as well as pathological margin confirmation aid the surgeon, but these methods are lacking in sensitivity and can be highly subjective. Techniques in fluorescence-guided surgery (FGS) are emerging that selectively illuminate cancer cells, enhancing the distinction between tumors and surrounding tissues with the potential for single-cell sensitivity. FGS enhances tumor detection, surgical navigation, margin confirmation, and in some cases can be combined with therapeutic techniques to eliminate microscopic disease. In this review, we describe the preclinical developments and currently-used techniques for FGS.
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