TY  - JOUR
A1  - Blößer, Sandra
A1  - May, Andrea
A1  - Welsch, Lukas
A1  - Ast, Michael
A1  - Braun, Susanne
A1  - Velten, Thomas
A1  - Biehl, Margit
A1  - Tschammer, Jonas
A1  - Roeb, Elke
A1  - Knabe, Mate
T1  - Virtual biopsy by electrical impedance spectroscopy in Barrett’s carcinoma
T2  - Journal of gastrointestinal cancer
N2  - Purpose: Early detection of adenocarcinomas in the esophagus is crucial for achieving curative endoscopic therapy. Targeted biopsies of suspicious lesions, as well as four-quadrant biopsies, represent the current diagnostic standard. However, this procedure is time-consuming, cost-intensive, and examiner-dependent. The aim of this study was to test whether impedance spectroscopy is capable of distinguishing between healthy, premalignant, and malignant lesions. An ex vivo measurement method was developed to examine esophageal lesions using impedance spectroscopy immediately after endoscopic resection. Methods: After endoscopic resection of suspicious lesions in the esophagus, impedance measurements were performed on resected cork-covered tissue using a measuring head that was developed, with eight gold electrodes, over 10 different measurement settings and with frequencies from 100 Hz to 1 MHz. Results: A total of 105 measurements were performed in 60 patients. A dataset of 400 per investigation and a total of more than 42,000 impedance measurements were therefore collected. Electrical impedance spectroscopy (EIS) was able to detect dysplastic esophageal mucosa with a sensitivity of 81% in Barrett’s esophagus. Conclusion: In summary, EIS was able to distinguish different tissue characteristics in the different esophageal tissues. EIS thus holds potential for further development of targeted biopsies during surveillance endoscopy.
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/63491
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-634917
SN  - 1941-6628
N1  - Open Access funding enabled and organized by Projekt DEAL. This study received funding from the KMU-Innovativ, BMBF Project Z-Zmart Detect Förderkennzeichen, Federal Ministry of Education and Research: 13GW0056A and Stockert GmbH.
N1  - Early View-Version: Online Version of Record before inclusion in an issue.
VL  - 2021
IS  - Online Version of Record before inclusion in an issue
PB  - Springer US
CY  - New York, NY
ER  -