MODELING H-ARS USING HEMATOLOGICAL PARAMETERS: A COMPARISON BETWEEN THE NON-HUMAN PRIMATE AND MINIPIG
| Autor: | David L. Bolduc, William F. Blakely, Rolf Bünger, Maria Moroni |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Swine
Blood count Risk Assessment Sensitivity and Specificity 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Species Specificity Animals Humans Medicine Computer Simulation Radiology Nuclear Medicine and imaging Radiometry Radiation Non human primate Radiological and Ultrasound Technology Receiver operating characteristic business.industry Models Cardiovascular Public Health Environmental and Occupational Health Reproducibility of Results Acute Radiation Syndrome General Medicine Göttingen minipig Hematologic Diseases Macaca mulatta Radiation risk 030220 oncology & carcinogenesis Swine Miniature Biomarker (medicine) Biological Assay business Nuclear medicine Biomarkers Serum chemistry |
| Zdroj: | Radiation Protection Dosimetry. 172:161-173 |
| ISSN: | 1742-3406 0144-8420 |
| DOI: | 10.1093/rpd/ncw159 |
| Popis: | Multiple hematological biomarkers (i.e. complete blood counts and serum chemistry parameters) were used in a multivariate linear-regression fit to create predictive algorithms for estimating the severity of hematopoietic acute radiation syndrome (H-ARS) using two different species (i.e. Gottingen Minipig and non-human primate (NHP) (Macacca mulatta)). Biomarker data were analyzed prior to irradiation and between 1-60 days (minipig) and 1-30 days (NHP) after irradiation exposures of 1.6-3.5 Gy (minipig) and 6.5 Gy (NHP) 60Co gamma ray doses at 0.5-0.6 Gy min-1 and 0.4 Gy min-1, respectively. Fitted radiation risk and injury categorization (RRIC) values and RRIC prediction percent accuracies were compared between the two models. Both models estimated H-ARS severity with over 80% overall predictive power and with receiver operating characteristic curve area values of 0.884 and 0.825. These results based on two animal radiation models support the concept for the use of a hematopoietic-based algorithm for predicting the risk of H-ARS in humans. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|