通过拉曼光谱对切除边缘的术内评估,以指导口腔癌手术
Yassine Aaboubout1,2, Maria R Nunes Soares1,3, Tom C Bakker Schut3,4
1Department of Pathology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands. g.puppels@erasmusmc.nl.
The Analyst
|July 26, 2023
概括
对口腔癌切除边缘的准确的手术内评估至关重要. 一种新的拉曼光谱技术提供了一种快速,客观的方法来测量边缘,改善了口腔状细胞癌患者的手术结果.
科学领域:
- 在瘤学瘤学.
- 频谱学是一种光谱学.
- 手术病理学手术病理学
背景情况:
- 口腔癌手术的目标是>5毫米的无瘤边缘,仅在15-26%的病例中实现.
- 瘤切除边缘的手术内评估 (IOARM) 可以改善手术结果,但目前的方法是不切实际的.
- 现有IOARM的局限性阻碍了其广泛的临床采用和患者受益.
研究的目的:
- 为IOARM开发和验证一种新的高波数拉曼光谱技术.
- 为了能够快速,客观,准确地在新鲜的口腔癌样本上进行切除边缘的手术内测量.
- 在口腔癌手术期间提高瘤切除的精度.
主要方法:
- 开发一个高波数拉曼光谱系统,使用薄光纤针探针.
- 创建一个组织分类模型,以区分口腔状细胞癌 (OCSCC) 和健康的口腔组织.
- 基于拉曼光谱数据的边缘长度预测模型的实施,并与他的病理学进行比较.
主要成果:
- 组织分类模型在OCSCC检测方面实现了0.85的灵敏度和0.92的特异性.
- 边缘长度预测模型显示,与基因病理学相比,平均差异为-0.17毫米.
- 拉曼光谱技术提供了快速和客观的边际评估.
结论:
- 高波数拉曼光谱是一种有前途的技术,用于口腔癌的客观IOARM.
- 这种技术可以显著提高瘤切除边缘的准确性,潜在地减少正边缘.
- 开发的系统提供了一个切实可行的解决方案,以克服当前IOARM方法的局限性,使患者的护理受益.
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