Intraoperative tissue identification by mass spectrometric technologies

被引:36
作者
St John, Edward R. [1 ]
Rossi, Merja [2 ]
Pruski, Pamela [2 ]
Darzi, Ara [1 ]
Takats, Zoltan [2 ]
机构
[1] Imperial Coll London, Dept BioSurg & Surg Technol, London W2 1NY, England
[2] Imperial Coll London, Div Computat & Syst Med, London SW7 2AZ, England
关键词
DESI; mass spectrometric imaging; MALDI; Margin assessment; Mass spectrometry; REIMS; Metabolic fingerprint; Surgery; Intraoperative; Cancer; DESORPTION ELECTROSPRAY-IONIZATION; HUMAN BRAIN-TUMORS; SOLID-PHASE MICROEXTRACTION; BREAST-CONSERVING SURGERY; MOHS MICROGRAPHIC SURGERY; MARGIN ASSESSMENT; NANOELECTROSPRAY IONIZATION; MOLECULAR ASSESSMENT; RESECTION MARGINS; COMPLEX MATRICES;
D O I
10.1016/j.trac.2016.05.003
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Mass spectrometric (MS) approaches developed for tissue identification in surgical environments are reviewed. MS Imaging (MSI) techniques enable the direct analysis of human tissue and can be used as an alternative means for margin assessment. While MSI-based approaches were demonstrated to improve the examiner-related variance of the data, the time demand and the cost of these analyses remained high. Furthermore, the necessity of MS expertise for the clinical deployment of these techniques has hindered large-scale clinical testing. The advent of 'ambient' MS methods contributed to the application of MSI techniques in this field, however alternative methods have been developed for the direct analysis of tissue samples without sample preparation. One group of methods employs surgical tissue manipulation for ionization while the other one uses minimally invasive probes for sampling prior to ionization. The methods are summarised and compared with regard to the information delivered, turnaround time and tissue identification performance. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.
引用
收藏
页码:2 / 9
页数:8
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