{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T17:07:27Z","timestamp":1790356047606,"version":"4.1.0"},"reference-count":52,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"vor","delay-in-days":22,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Pulmonary congestion is a major determinant of symptoms, hospitalization, and prognosis in cardiovascular disease, yet its quantitative assessment remains challenging. Remote dielectric sensing is a non-invasive electromagnetic method that provides a quantitative estimate of pulmonary fluid content within \u223c1 min. This narrative review summarizes the principles, validation, clinical interpretation, applications, and limitations of remote dielectric sensing. In a validation study of 46 hospitalized patients, including 28 with heart failure, remote dielectric sensing correlated with computed tomography-derived high-attenuation lung area (r = 0.65, P &amp;lt; .001). In a prospective study of 153 patients with heart failure, remote dielectric sensing correlated with lung ultrasound B-line count (r = 0.544); a threshold of 34.5% identified lung ultrasound-defined pulmonary congestion with an area under the curve of 0.748, sensitivity of 73.5%, and specificity of 70.2%. In 133 patients hospitalized with acute heart failure, with a median age of 78 years, 59% men, and a median left ventricular ejection fraction of 57%, an increase in remote dielectric sensing from admission to discharge was associated with all-cause death or heart failure rehospitalisation (adjusted hazard ratio 4.37, 95% confidence interval 1.13\u201316.81). In a proof-of-concept randomized trial of 100 patients hospitalized with acute decompensated heart failure, the primary endpoint occurred in 2% with remote dielectric sensing-guided care vs 20% with routine care (hazard ratio 0.094). Available evidence supports diagnostic validity and potential prognostic value, but external validation remains limited. Evidence that remote dielectric sensing-guided management improves clinical outcomes remains preliminary. Remote dielectric sensing should be considered a complementary component of multimodality congestion assessment.<\/jats:p>","DOI":"10.1093\/eschf\/xvag241","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T19:18:19Z","timestamp":1789672699000},"source":"Crossref","is-referenced-by-count":0,"title":["Remote dielectric sensing for pulmonary congestion assessment: current concepts and clinical perspectives"],"prefix":"10.1093","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7294-7637","authenticated-orcid":false,"given":"Teruhiko","family":"Imamura","sequence":"first","affiliation":[{"name":"The Second Department of Internal Medicine, University of Toyama , 2630 Sugitani, Toyama, Toyama 930-0194 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