{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T04:34:15Z","timestamp":1741754055111,"version":"3.38.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"3-4","license":[{"start":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:00:00Z","timestamp":1728518400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,27]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n               <jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>High-intensity conflicts are on Europe\u2019s doorstep. The French expertise in the medical management of frontline casualties in overseas operations is well established. However, in the management of severe trauma, we lack data on the injuries identified by body scanners in the field. Understanding the associations between injury mechanisms and radiological lesions would enable us to anticipate medical and surgical management. To study this possible link, we collected and interpreted scanogaphic data and analyzed them according to lesion mechanisms, following the algorithm MARCH used to implement the concept of Damage Control Resuscitation, which includes life-saving measures to ensure that the wounded reach medical-surgical facilities alive.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and methods<\/jats:title>\n                  <jats:p>This retrospective monocentric study collected data from body scanners performed in overseas operations between June 2011 and September 2023. Inclusion criteria were to be French military personnel and to have undergone a whole-body scanner in a theater of overseas operations. Exclusion criteria were to have died before the scan, to be foreign, non-military and a minor. Of 164 available files, 96 were eligible, 1 patient declared aged 70 years was excluded, and 95 files were retained.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In our population, 18% of injured patients had a spinal fracture. Compared with road traffic accident casualties, improvised explosive device casualties were the most severely injured patients arriving alive at computed tomography, with a relative risk of Injury Severity Score\u2009&amp;gt;\u20098 of 2.29 [1.09-4.80] (P\u2009=\u2009.019). Improvised explosive device casualties had a relative risk of airway injuries of 2.57 [1.03-6.39] (P\u2009=\u2009.030), injuries leading to functional impairment of 3.21 [1.17-8.82] (P =.013), injuries leading to infection of 2.14 [1.21-3.76] (P\u2009=\u2009.0045), and injuries leading to shock of 3.21 [0.96-10.70] (P\u2009=\u2009.039). Deep metal splinters were only found in the improvised explosive device group.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Preparing the medical corps to deal with war casualties is fundamental. Our study shows that it is essential to consider the mechanism of injury to understand the casualty better and predict potential injuries. In addition, the study of postmortem scans could greatly help analyze potentially avoidable deaths.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/milmed\/usae458","type":"journal-article","created":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T16:20:02Z","timestamp":1728577202000},"page":"e586-e592","source":"Crossref","is-referenced-by-count":0,"title":["Retrospective Observational Analysis of Computed Tomography Scans of Trauma Patients in Overseas Operations (SCANOPEX Study)"],"prefix":"10.1093","volume":"190","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5339-6918","authenticated-orcid":false,"given":"Laura","family":"Ikni","sequence":"first","affiliation":[{"name":"Percy Teaching Hospital , Clamart 92140,","place":["France"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Valbousquet","sequence":"additional","affiliation":[{"name":"Percy Teaching Hospital , Clamart 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