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Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core-shell nanochains.基于 AgNWs@ZIF 核壳纳米链的人工智能 SERS 早期口腔癌诊断。
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口腔癌切除边缘的术中评估:光谱学的潜在作用。

Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy.

作者信息

Vlocskó Máté, Piffkó József, Janovszky Ágnes

机构信息

Department of Oral and Maxillofacial Surgery, Albert Szent-Györgyi Medical School, University of Szeged, Kálvária 57, H-6725 Szeged, Hungary.

出版信息

Cancers (Basel). 2023 Dec 26;16(1):121. doi: 10.3390/cancers16010121.

DOI:10.3390/cancers16010121
PMID:38201548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10777979/
Abstract

In parallel with the increasing number of oncological cases, the need for faster and more efficient diagnostic tools has also appeared. Different diagnostic approaches are available, such as radiological imaging or histological staining methods, but these do not provide adequate information regarding the resection margin, intraoperatively, or are time consuming. The purpose of this review is to summarize the current knowledge on spectrometric diagnostic modalities suitable for intraoperative use, with an emphasis on their relevance in the management of oral cancer. The literature agrees on the sensitivity, specificity, and accuracy of spectrometric diagnostic modalities, but further long-term prospective, multicentric clinical studies are needed, which may standardize the intraoperative assessment of the resection margin and the use of real-time spectroscopic approaches.

摘要

随着肿瘤病例数量的增加,对更快、更高效诊断工具的需求也应运而生。目前有多种诊断方法可供选择,如放射成像或组织学染色方法,但这些方法在术中无法提供关于切缘的充分信息,或者耗时较长。本综述的目的是总结适用于术中使用的光谱诊断方法的现有知识,重点关注其在口腔癌治疗中的相关性。文献对光谱诊断方法的敏感性、特异性和准确性已达成共识,但仍需要进一步开展长期前瞻性多中心临床研究,这可能会使术中切缘评估及实时光谱方法的应用标准化。