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1000 Titel
  • Virtual Biopsy by Electrical Impedance Spectroscopy in Barrett’s Carcinoma
1000 Autor/in
  1. Blößer, Sandra |
  2. May, Andrea |
  3. Welsch, Lukas |
  4. Ast, Michael |
  5. Braun, Susanne |
  6. Velten, Thomas |
  7. Biehl, Margit |
  8. Tschammer, Jonas |
  9. Roeb, Elke |
  10. Knabe, Mate |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-09-24
1000 Erschienen in
1000 Quellenangabe
  • 53(4):948-957
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s12029-021-00703-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630236/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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. Trial Registration NCT04046601.
1000 Sacherschließung
lokal Humans [MeSH]
lokal Barrett’s cancer
lokal Esophagoscopy/methods [MeSH]
lokal Esophageal Neoplasms/pathology [MeSH]
lokal Barrett Esophagus/diagnosis [MeSH]
lokal Biopsy/methods [MeSH]
lokal Barrett Esophagus/pathology [MeSH]
lokal Adenocarcinoma/pathology [MeSH]
lokal Electrical impedance spectroscopy
lokal Esophageal Neoplasms/surgery [MeSH]
lokal Esophageal carcinoma
lokal Adenocarcinoma/diagnosis [MeSH]
lokal Dielectric Spectroscopy [MeSH]
lokal Esophageal Neoplasms/diagnosis [MeSH]
lokal Original Research
lokal Adenocarcinoma/surgery [MeSH]
lokal Barrett Esophagus/surgery [MeSH]
lokal Virtual biopsy
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QmzDtsOfZXIsIFNhbmRyYQ==|https://frl.publisso.de/adhoc/uri/TWF5LCBBbmRyZWE=|https://frl.publisso.de/adhoc/uri/V2Vsc2NoLCBMdWthcw==|https://frl.publisso.de/adhoc/uri/QXN0LCBNaWNoYWVs|https://frl.publisso.de/adhoc/uri/QnJhdW4sIFN1c2FubmU=|https://frl.publisso.de/adhoc/uri/VmVsdGVuLCBUaG9tYXM=|https://frl.publisso.de/adhoc/uri/QmllaGwsIE1hcmdpdA==|https://frl.publisso.de/adhoc/uri/VHNjaGFtbWVyLCBKb25hcw==|https://frl.publisso.de/adhoc/uri/Um9lYiwgRWxrZQ==|https://orcid.org/0000-0003-2445-6099
1000 Hinweis
  • DeepGreen-ID: 282fdb9e15244538a02a6a1f6b9bab19 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 @id frl:6445646.rdf
1000 Erstellt am 2023-04-28T10:55:12.544+0200
1000 Erstellt von 322
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1000 Zuletzt bearbeitet 2023-10-20T16:00:55.695+0200
1000 Objekt bearb. Fri Oct 20 16:00:55 CEST 2023
1000 Vgl. frl:6445646
1000 Oai Id
  1. oai:frl.publisso.de:frl:6445646 |
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