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TitleA System for Intraoperative Cancer Margin Detection by Diathermy Smoke Analysis
TitleDiatermiasavun analysointiin perustuva leikkauksenaikainen tervekudosmarginaalin tunnistava mittausjärjestelmä
TitleDiatermiasavun analysointiin perustuva leikkauksenaikainen tervekudosmarginaalin tunnistava mittausjärjestelmä
AuthorKontunen, Anton
ContributorsKemia ja biotekniikka – Chemistry and Bioengineering; Teknis-luonnontieteellinen tiedekunta - Faculty of Natural Sciences; Tampere University of Technology; Lekkala, Jukka; Oksala, Niku; Karjalainen, Markus; Roine, Antti
Subject(s)Biotekniikka
AbstractIn this thesis, a method and system capable of intraoperative cancer margin detection, with potential to improve the current methodology, is introduced, tested and validated. The system is based on diathermy smoke analysis by differential ion mobility spectrometry (DMS). Three large measurement sets with different objectives were executed. The first measurement set concentrated on validating the function of a novel filtration device, which is an essential part of the full system proposed in this thesis, and was patented during the thesis work. In the second measurement set, a proof-of-concept study with porcine tissues was conducted to elucidate, whether healthy tissue identification with the system is possible. The third measurement set was a pilot test with two types of clinical human brain tumor samples, with the aim to achieve actual reliable cancer identification with the proposed system. Regarding the objectives, all the three measurement sets were successful. Based on the results, we state that the patented filtration solution works with a high efficiency without compromising tissue identification, and that cancer detection based on the ion mobility spectrometer analysis of tissue smoke can be achieved with our system.
Date2017-08-22T13:51:15Z
Date2019-05-23T11:11:38Z
Date2017-08-22T13:51:15Z
Date2019-05-23T11:11:38Z
Date2017
Date2017-09-06
Typefi= Diplomityö | en=Master’s thesis (technology)|; masterThesis
Identifier
IdentifierURN:NBN:fi:tty-201708241803
Languageen
RightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
RightsopenAccess
Format69
Formatfulltext