Early cancer detection in blood vessels using mobile nanosensors

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autorinnen und Autoren: Mosayebi R, Ahmadzadeh A, Wicke W, Jamali V, Schober R, Nasiri-Kenari M
Zeitschrift: IEEE Transactions on Nanobioscience
Jahr der Veröffentlichung: 2018
Band: 18
Heftnummer: 2
Seitenbereich: 103-116
ISSN: 1536-1241
Sprache: Englisch


Abstract

In this paper, we propose using mobile nanosensors(MNSs)forearlystageanomalydetection.For concreteness, we focus on the detection of cancer cells locatedinaparticularregionofabloodvessel.Thesecancer cells produce and emit special molecules, so-called biomarkers, which are symptomatic for the presence of anomaly, into the cardiovascular system. Detection of cancer biomarkers with conventional blood tests is difficult in the early stages of a cancer due to the very low concentration of the biomarkers in the samples taken. However, close to thecancercells,theconcentrationofthecancerbiomarkers is high. Hence, detection is possible if a sensor with the ability to detect these biomarkers is placed in the vicinity of the cancer cells. Therefore, in this paper, we study the useofMNSsthatareinjectedatasuitableinjectionsiteand can move through the blood vessels of the cardiovascular system,whichpotentiallycontaincancercells.TheseMNSs can be activated by the biomarkers close to the cancer cells, where the biomarker concentration is sufficiently high. Eventually, the MNSs are collected by a fusion center (FC), where their activation levels are read and exploited to declare the presence of anomaly. We analytically derive thebiomarkerconcentrationina networkof interconnected blood vessels as well as the probability mass function of theMNSs’activationlevelsandvalidatetheobtainedresults via particle-basedsimulations. Then, we derive the optimal decision rule for the FC regarding the presence of anomaly assumingthattheentirenetworkisknownattheFC.Finally, for the FC, we proposea simple sum detector that does not requireknowledgeofthenetworktopology.Oursimulations reveal that while the optimal detector achieves a higher performance than the sum detector, both proposed detectorssignificantlyoutperformabenchmarkschemethatuses fixed nanosensorsat the FC


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Ahmadzadeh, Arman
Lehrstuhl für Digitale Übertragung
Mosayebi, Reza
Lehrstuhl für Digitale Übertragung
Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Wicke, Wayan
Lehrstuhl für Digitale Übertragung


Einrichtungen weiterer Autorinnen und Autoren

Sharif University of Technology / دانشگاه صنعتی شریف (SUT)


Zitierweisen

APA:
Mosayebi, R., Ahmadzadeh, A., Wicke, W., Jamali, V., Schober, R., & Nasiri-Kenari, M. (2018). Early cancer detection in blood vessels using mobile nanosensors. IEEE Transactions on Nanobioscience, 18(2), 103-116. https://dx.doi.org/10.1109/TNB.2018.2885463

MLA:
Mosayebi, Reza, et al. "Early cancer detection in blood vessels using mobile nanosensors." IEEE Transactions on Nanobioscience 18.2 (2018): 103-116.

BibTeX: 

Zuletzt aktualisiert 2019-10-07 um 10:38