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Radiation exposure determination in a secure, cloud-based online environment.
Shirley, Ben C; Mucaki, Eliseos J; Knoll, Joan H M; Rogan, Peter K.
Afiliação
  • Shirley BC; CytoGnomix Inc., 60 N. Centre Rd., London Ontario N5X 3X5, Canada.
  • Mucaki EJ; Dept. Biochemistry, University of Western Ontario, London Ontario N6A 3K7, Canada.
  • Knoll JHM; CytoGnomix Inc., 60 N. Centre Rd., London Ontario N5X 3X5, Canada.
  • Rogan PK; Dept. Pathology and Laboratory Medicine, University of Western Ontario, London Ontario N6A 3K7, Canada.
Radiat Prot Dosimetry ; 199(14): 1465-1471, 2023 Sep 18.
Article em En | MEDLINE | ID: mdl-37721084
ABSTRACT
Rapid sample processing and interpretation of estimated exposures will be critical for triaging exposed individuals after a major radiation incident. The dicentric chromosome (DC) assay assesses absorbed radiation using metaphase cells from blood. The Automated Dicentric Chromosome Identifier and Dose Estimator System (ADCI) identifies DCs and determines radiation doses. This study aimed to broaden accessibility and speed of this system, while protecting data and software integrity. ADCI Online is a secure web-streaming platform accessible worldwide from local servers. Cloud-based systems containing data and software are separated until they are linked for radiation exposure estimation. Dose estimates are identical to ADCI on dedicated computer hardware. Image processing and selection, calibration curve generation, and dose estimation of 9 test samples completed in < 2 days. ADCI Online has the capacity to alleviate analytic bottlenecks in intermediate-to-large radiation incidents. Multiple cloned software instances configured on different cloud environments accelerated dose estimation to within clinically relevant time frames.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exposição à Radiação / Computação em Nuvem Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exposição à Radiação / Computação em Nuvem Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article