Bioimpedance Based Biomarker for the Detection of Precancerous and Cancerous Lesions of the Pancreas: Feasibility Animal Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Bioimpedance Based Biomarker for the Detection of Precancerous and Cancerous Lesions of the Pancreas: Feasibility Animal Study Federica Dibennardo, Martina Guidetti, Onur Fidaner, Daniel S Gehrke, and 14 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3879897/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 May, 2024 Read the published version in Translational Medicine Communications → Version 1 posted 5 You are reading this latest preprint version Abstract Background: Pancreatic cancer (PC) remains a significant healthcare challenge due to its aggressive nature and poor prognosis. The current gold standard that combines imaging modalities, endoscopy, and biopsies has limited diagnostic efficacy due to various shortcomings. Methods: We propose a feasibility study for the use of a bioimpedance biomarker to detect PC. The biomarker was evaluated in a double blind study on ex vivo pancreata of mice: 15 LSL-KrasG12D; LSL-p53R172H; Pdx1-Cre, 2 LSL-KrasG12D, and 9 wild type controls (Study 1). To determine if the biomarker can distinguish between PC and acute pancreatitis (AP), we challenged it with 18 cerulein-induced AP and 6 saline-injected controls (Study 2). Results: The results from Study 1 showed 100% specificity and 94% sensitivity against histopathology outcomes; for Study 2 all AP and saline-injected pancreases were diagnosed as non-cancerous. Regression analysis revealed a positive correlation between biomarker and pathologically analyzed cancer-induced fibrosis (r(24)= 0.73 (p<0.001)). Conclusion: These findings demonstrate the potential of this bioimpedance biomarker as a diagnostic tool for PC. Bioimpedance Biomarker KPC Model Pancreatic Cancer Detection Cole Relaxation Frequency Full Text Cite Share Download PDF Status: Published Journal Publication published 03 May, 2024 Read the published version in Translational Medicine Communications → Version 1 posted Editorial decision: Minor revision 03 Mar, 2024 Reviewers agreed at journal 19 Feb, 2024 Reviewers invited by journal 19 Feb, 2024 Editor assigned by journal 18 Jan, 2024 First submitted to journal 18 Jan, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3879897","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":273889462,"identity":"b09f4750-6d70-46f7-8aa0-9e05a1e29ab7","order_by":0,"name":"Federica Dibennardo","email":"","orcid":"","institution":"NovaScan Inc","correspondingAuthor":false,"prefix":"","firstName":"Federica","middleName":"","lastName":"Dibennardo","suffix":""},{"id":273889463,"identity":"980bcaad-d4b5-4be2-b0ea-9a5d0426eeec","order_by":1,"name":"Martina 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