Large-scale radiological accidents or nuclear terrorist incidents involving radiological or nuclear materials can potentially expose thousands, or hundreds of thousands, of people to unknown radiation doses, requiring prompt dose reconstruction for appropriate triage. Two types of dosimetry methods namely, biodosimetry and physical dosimetry are currently utilized for estimating absorbed radiation dose in humans. Both methods have been tested separately in several inter-laboratory comparison exercises, but a direct comparison of physical dosimetry with biological dosimetry has not been performed to evaluate their dose prediction accuracies. The current work describes the results of the direct comparison of absorbed doses estimated by physical (smartphone components) and biodosimetry (dicentric chromosome assay (DCA) performed in human peripheral blood lymphocytes) methods. For comparison, human peripheral blood samples (biodosimetry) and different components of smartphones, namely surface mount resistors (SMRs), inductors and protective glasses (physical dosimetry) were exposed to different doses of photons (0-4.4 Gy; values refer to dose to blood after correction) and the absorbed radiation doses were reconstructed by biodosimetry (DCA) and physical dosimetry (optically stimulated luminescence (OSL)) methods. Additionally, LiF:Mg,Ti (TLD-100) chips and AlO:C (Luxel) films were used as reference TL and OSL dosimeters, respectively. The best coincidence between biodosimetry and physical dosimetry was observed for samples of blood and SMRs exposed to-rays. Significant differences were observed in the reconstructed doses by the two dosimetry methods for samples exposed to x-ray photons with energy below 100 keV. The discrepancy is probably due to the energy dependence of mass energy-absorption coefficients of the samples extracted from the phones. Our results of comparative validation of the radiation doses reconstructed by luminescence dosimetry from smartphone components with biodosimetry using DCA from human blood suggest the potential use of smartphone components as an effective emergency triage tool for high photon energies.
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http://dx.doi.org/10.1088/1361-6498/ac5815 | DOI Listing |
Nanomedicine (Lond)
December 2024
Nanotheranostics Drug Discovery Research Group, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Nigeria.
The use of nanoparticles (NPs) in treatment of diseases have increased exponentially recently, giving rise to the science of nanomedicine. The safety of these NPs in humans has also led to the science of nanotoxicology. Due to a dearth of both readily available models and precise bio-dispersion characterization techniques, nanotoxicological research has obviously been constrained.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Background: This study aimed to develop and validate a multiregional radiomic-based composite model to predict symptomatic radiation pneumonitis (SRP) in non-small cell lung cancer (NSCLC) patients treated with stereotactic body radiation therapy (SBRT).
Materials And Methods: 189 patients from two institutions were allocated into training, internal validation and external testing cohorts. The associations between the SRP and clinic-dosimetric factors were analyzed using univariate and multivariate regression.
Rev Esp Med Nucl Imagen Mol (Engl Ed)
December 2024
Department of Nuclear Medicine, Gurutzeta-Cruces University Hospital/Biocruces Health Research Institute, Barakaldo, Spain.
Purpose: The main objectives were to study differences between the first and the fourth cycle in dosimetry variables in patients treated for neuroendocrine tumours with four cycles of [Lu]Lu-DOTA-TATE, as well as to look for absorbed dose-effect correlations aiming to help individualise and optimise this therapy for future patients.
Material And Methods: SPECT based dosimetry of tumour lesions and kidneys was performed in the first and the fourth cycles of the [Lu]Lu-DOTA-TATE treatments for 17 patients from 2020 to 2023. Clinical variables of interest were collected in order to look for correlations with some dosimetry variables.
J Appl Clin Med Phys
December 2024
Frontier Technology Center, China Institute for Radiation Protection, Taiyuan, Shanxi, China.
Purpose: This study introduced a novel 3D dosimetry system for radiotherapy in order to address the limitations of traditional quality assurance methods in precision radiotherapy techniques.
Methods: The research required the use of scintillation material, optical measurements, and a dose reconstruction algorithm. The scintillation material, which mimics human soft tissue characteristics, served as a both physical phantom and a radiation detector.
Phys Med Biol
December 2024
Radiology and Physics, The University of British Columbia, 6224 Agricultural Rd, Vancouver, British Columbia, V6T 1Z4, CANADA.
Objective: Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and accuracy, and is thus important for quantitative imaging applications such as dosimetry. The implementation of CDR modeling, however, can become a computational bottleneck when there are substantial components of septal penetration and scatter in the acquired data, since a direct convolution-based approach requires large 2D kernels. This work proposes a 1D convolution and rotation-based CDR model that reduces reconstruction times but maintains consistency with models that employ 2D convolutions.
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