{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T09:26:39Z","timestamp":1787390799270,"version":"build-2736575974"},"reference-count":37,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_med-2026-1510_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Seawater drowning causes severe lung and alveolar damage, easily inducing acute respiratory distress syndrome with high early mortality. Currently, standardized assessment and treatment approaches for seawater drowning-induced acute lung injury (SWD-ALI) are lacking. This study aimed to explore the lung damage mechanism of seawater drowning and provide early diagnostic and clinical therapeutic references for SWD-ALI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_med-2026-1510_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A novel mouse model of SWD-ALI was established for the first time via the laryngoscopic endotracheal injection (LEI) method. Multiple indicators including lung histopathology, survival rate, bronchoalveolar lavage fluid, lung coefficient and micro-CT were detected in strict accordance with the latest animal acute lung injury testing standards.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_med-2026-1510_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Obvious exudative lesions in lung tissues were detected by CT as early as 0.5\u202fh after seawater-induced injury, enabling early identification of severe acute lung injury.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_med-2026-1510_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Lung CT can realize early diagnosis of SWD-ALI. This finding is critical for guiding clinical treatment and reducing the mortality of seawater drowning patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/med-2026-1510","type":"journal-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T08:58:50Z","timestamp":1787389130000},"source":"Crossref","is-referenced-by-count":0,"title":["Seawater drowning induced acute lung injury: new insights from novel mouse models and micro-CT imaging"],"prefix":"10.1515","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5921-7144","authenticated-orcid":false,"given":"Jinxia","family":"Liu","sequence":"first","affiliation":[{"name":"Medical School of Chinese PLA , Beijing , P.R. China"},{"name":"Department of Pulmonary and Critical Care Medicine , Chinese PLA General Hospital , Beijing , P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2070-9504","authenticated-orcid":false,"given":"Chunsun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine , Chinese PLA General Hospital , Beijing , P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1279-6456","authenticated-orcid":false,"given":"Zhen","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine , Chinese PLA General Hospital , Beijing , P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2153-8963","authenticated-orcid":false,"given":"Yuanhui","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Medicine, Nankai University , Tianjin , P.R. 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