SmartProbe: a bioimpedance sensing system for head and neck cancer tissue detection.
Journal
Physiological measurement
ISSN: 1361-6579
Titre abrégé: Physiol Meas
Pays: England
ID NLM: 9306921
Informations de publication
Date de publication:
08 06 2020
08 06 2020
Historique:
pubmed:
24
4
2020
medline:
4
5
2021
entrez:
24
4
2020
Statut:
epublish
Résumé
This study presents SmartProbe, an electrical bioimpedance (EBI) sensing system based on a concentric needle electrode (CNE). The system allows the use of commercial CNEs for accurate EBI measurement, and was specially developed for in-vivo real-time cancer detection. Considering the uncertainties in EBI measurements due to the CNE manufacturing tolerances, we propose a calibration method based on statistical learning. This is done by extracting the correlation between the measured impedance value |Z|, and the material conductivity σ, for a group of reference materials. By utilizing this correlation, the relationship of σ and |Z| can be described as a function and reconstructed using a single measurement on a reference material of known conductivity. This method simplifies the calibration process, and is verified experimentally. Its effectiveness is demonstrate by results that show less than 6% relative error. An additional experiment is conducted for evaluating the system's capability to detect cancerous tissue. Four types of ex-vivo human tissue from the head and neck region, including mucosa, muscle, cartilage and salivary gland, are characterized using SmartProbe. The measurements include both cancer and surrounding healthy tissue excised from 10 different patients operated on for head and neck cancer. The measured data is then processed using dimension reduction and analyzed for tissue classification. The final results show significant differences between pathologic and healthy tissues in muscle, mucosa and cartilage specimens. These results are highly promising and indicate a great potential for SmartProbe to be used in various cancer detection tasks.
Identifiants
pubmed: 32325435
doi: 10.1088/1361-6579/ab8cb4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM