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- Dokumenttyp:
- Journal Article
- Autor(en):
- Port, Matthias; Haupt, Julian; Ostheim, Patrick; Majewski, Matthäus; Combs, Stephanie E; Atkinson, Mike; Abend, Michael
- Titel:
- Software Tools for the Evaluation of Clinical Signs and Symptoms in the Medical Management of Acute Radiation Syndrome-A Five-year Experience.
- Abstract:
- ABSTRACT: A suite of software tools has been developed for dose estimation (BAT, WinFRAT) and prediction of acute health effects (WinFRAT, H-Module) using clinical symptoms and/or changes in blood cell counts. We constructed a database of 191 ARS cases using the METREPOL (n = 167) and the SEARCH-database (n = 24). The cases ranged from unexposed (RC0), to mild (RC1), moderate (RC2), severe (RC3), and lethal ARS (RC4). From 2015-2019, radiobiology students and participants of two NATO meetings predicted clinical outcomes (RC, H-ARS, and hospitalization) based on clinical symptoms. We evaluated the prediction outcomes using the same input datasets with a total of 32 teams and 94 participants. We found that: (1) unexposed (RC0) and mildly exposed individuals (RC1) could not be discriminated; (2) the severity of RC2 and RC3 were systematically overestimated, but almost all lethal cases (RC4) were correctly predicted; (3) introducing a prior education component for non-physicians significantly increased the correct predictions of RC, ARS, and hospitalization by around 10% (p<0.005) with a threefold reduction in variance and a halving of the evaluation time per case; (4) correct outcome prediction was independent of the software tools used; and (5) comparing the dose estimates generated by the teams with H-ARS severity reflected known limitations of dose alone as a surrogate for H-ARS severity. We found inexperienced personnel can use software tools to make accurate diagnostic and treatment recommendations with up to 98% accuracy. Educational training improved the quality of decision making and enabled participants lacking a medical background to perform comparably to experts.
- Zeitschriftentitel:
- Health Phys
- Jahr:
- 2021
- Band / Volume:
- 120
- Heft / Issue:
- 4
- Seitenangaben Beitrag:
- 400-409
- Volltext / DOI:
- doi:10.1097/HP.0000000000001353
- PubMed:
- http://view.ncbi.nlm.nih.gov/pubmed/33315652
- Print-ISSN:
- 0017-9078
- TUM Einrichtung:
- Klinik und Poliklinik für RadioOnkologie und Strahlentherapie
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