{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T06:57:19Z","timestamp":1790060239808,"version":"4.0.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"German Ministry of Defense"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7,24]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>HemoDose is a software tool, which estimates absorbed doses based on blood cell counts (BCC). The aim of our study was to validate HemoDose for early dose estimates. Dose estimates generated by HemoDose were compared with dose estimates stored in SEARCH from radiation victims. Moreover, BCC from unirradiated donors and corresponding HemoDose dose estimates were analysed. We employed linear or logistic regression analysis. There was a significant correlation between calculated doses by HemoDose based on single and multiple lymphocyte counts when omitting lowest and highest dose estimates. Furthermore, there was a significant correlation between calculated doses by HemoDose based on lymphocyte counts and the estimated doses based on DIC. The dose estimates by HemoDose based on lymphocyte counts and DIC showed a comparable correlation with HARS degrees 0 and 4. In conclusion, HemoDose dose estimation based on early lymphocyte counts appears to be a promising biodosimetry tool under certain considerations.<\/jats:p>","DOI":"10.1093\/rpd\/ncaa063","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T15:12:29Z","timestamp":1588605149000},"page":"428-435","source":"Crossref","is-referenced-by-count":5,"title":["USING DICENTRIC DOSE ESTIMATES AND EARLY RADIATION-INDUCED BLOOD CELL COUNT CHANGES OF REAL CASE HISTORIES FOR VALIDATION OF THE HEMODOSE BIODOSIMETRY TOOL"],"prefix":"10.1093","volume":"189","author":[{"given":"Julian","family":"Haupt","sequence":"first","affiliation":[{"name":"Bundeswehr Institute of Radiobiology, Neuherbergstrasse 11, Munich 80937, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Ostheim","sequence":"additional","affiliation":[{"name":"Bundeswehr Institute of Radiobiology, Neuherbergstrasse 11, Munich 80937, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Port","sequence":"additional","affiliation":[{"name":"Bundeswehr Institute of Radiobiology, Neuherbergstrasse 11, Munich 80937, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Abend","sequence":"additional","affiliation":[{"name":"Bundeswehr Institute of Radiobiology, Neuherbergstrasse 11, Munich 80937, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,5,11]]},"reference":[{"key":"2020072410165161400_ref1","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.exphem.2007.01.006","article-title":"Pathophysiological principles underlying the blood cell concentration responses used to assess the severity of effect after accidental whole-body radiation exposure: an essential basis for an evidence-based clinical triage","volume":"35","author":"Fliedner","year":"2007","journal-title":"Exp. 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