Imperial College London
Alternate

DrKirillVeselkov

Faculty of Medicine, Department of Surgery & Cancer

Lecturer
 
 
 
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Contact

 

kirill.veselkov04

 
 
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Location

 

ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Balog:2013:10.1126/scitranslmed.3005623,
author = {Balog, J and Sasi-Szabo, L and Kinross, J and Lewis, MR and Muirhead, LJ and Veselkov, K and Mirnezami, R and Dezso, B and Damjanovich, L and Darzi, A and Nicholson, JK and Takats, Z},
doi = {10.1126/scitranslmed.3005623},
journal = {Science Translational Medicine},
pages = {1--11},
title = {Intraoperative tissue identification using rapid evaporative ionization mass spectrometry},
url = {http://dx.doi.org/10.1126/scitranslmed.3005623},
volume = {5},
year = {2013}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Rapid evaporative ionization mass spectrometry (REIMS) is an emerging technique that allows near–real-time characterization of human tissue in vivo by analysis of the aerosol (“smoke”) released during electrosurgical dissection. The coupling of REIMS technology with electrosurgery for tissue diagnostics is known as the intelligent knife (iKnife). This study aimed to validate the technique by applying it to the analysis of fresh human tissue samples ex vivo and to demonstrate the translation to real-time use in vivo in a surgical environment. A variety of tissue samples from 302 patients were analyzed in the laboratory, resulting in 1624 cancerous and 1309 noncancerous database entries. The technology was then transferred to the operating theater, where the device was coupled to existing electrosurgical equipment to collect data during a total of 81 resections. Mass spectrometric data were analyzed using multivariate statistical methods, including principal components analysis (PCA) and linear discriminant analysis (LDA), and a spectral identification algorithm using a similar approach was implemented. The REIMS approach differentiated accurately between distinct histological and histopathological tissue types, with malignant tissues yielding chemical characteristics specific to their histopathological subtypes. Tissue identification via intraoperative REIMS matched the postoperative histological diagnosis in 100% (all 81) of the cases studied. The mass spectra reflected lipidomic profiles that varied between distinct histological tumor types and also between primary and metastatic tumors. Thus, in addition to real-time diagnostic information, the spectra provided additional information on divergent tumor biochemistry that may have mechanistic importance in cancer.
AU  - Balog,J
AU  - Sasi-Szabo,L
AU  - Kinross,J
AU  - Lewis,MR
AU  - Muirhead,LJ
AU  - Veselkov,K
AU  - Mirnezami,R
AU  - Dezso,B
AU  - Damjanovich,L
AU  - Darzi,A
AU  - Nicholson,JK
AU  - Takats,Z
DO  - 10.1126/scitranslmed.3005623
EP  - 11
PY  - 2013///
SN  - 1946-6234
SP  - 1
TI  - Intraoperative tissue identification using rapid evaporative ionization mass spectrometry
T2  - Science Translational Medicine
UR  - http://dx.doi.org/10.1126/scitranslmed.3005623
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000321904400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://stm.sciencemag.org/content/5/194/194ra93
VL  - 5
ER  -
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