International journal of radiation biology最新文献

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Effect of 1800 MHz radiofrequency field exposure on cytokine and signal transduction protein expression in differentiated THP-1 cells. 1800 兆赫射频场暴露对分化的 THP-1 细胞中细胞因子和信号转导蛋白表达的影响。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-09-09 DOI: 10.1080/09553002.2024.2398090
Pascale V Bellier, Gregory W McGarr, Sandy Smiley, James P McNamee
{"title":"Effect of 1800 MHz radiofrequency field exposure on cytokine and signal transduction protein expression in differentiated THP-1 cells.","authors":"Pascale V Bellier, Gregory W McGarr, Sandy Smiley, James P McNamee","doi":"10.1080/09553002.2024.2398090","DOIUrl":"10.1080/09553002.2024.2398090","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the effects of 1800 MHz continuous wave (CW) and global system for mobile communications (GSM) modulated radiofrequency electromagnetic field (RFEMF) exposures on signal transduction (ST) protein and cytokine expression in differentiated human-derived monocytic THP-1 cells.</p><p><strong>Materials and methods: </strong>THP-1 cells were differentiated into adherent macrophage-like cells using phorbol 12-myristate 13-acetate (PMA). Following differentiation, cells were exposed to 1800 MHz CW or GSM modulated RFEMF for 0.5, 4, or 24 h at a specific absorption rate (SAR) of 0 (sham) or 2.0 W/kg. Concurrent positive controls (lipopolysaccharide for cytokines; anisomycin for ST proteins) and negative controls were included in each experiment. The expression levels of cytokines (GM-CSF, IFN-γ, IL-1β, IL-6, IL-10, TNF-α) from culture media and phosphorylated and total ST proteins (CREB, JNK, NF-κB, p38, ERK1/2, Akt, p70S6k, STAT3, STAT5) from cell lysates were assessed using Milliplex magnetic bead array panels.</p><p><strong>Results: </strong>No consistent effect of RFEMF exposure was observed in differentiated THP-1 cells. A statistically significant effect of overall exposure condition was observed for IL-6 with GSM modulation (P = 0.042), but no difference between RFEMF and sham for any exposure condition remained following adjustment for multiple comparisons (P ≥ 0.128). No statistically significant effect of exposure condition was detected for any other cytokine evaluated with either of the RFEMF modulations (P ≥ 0.078). There were no statistically significant changes in expression levels for any of the ST proteins under any studied exposure condition (P ≥ 0.320).</p><p><strong>Conclusions: </strong>In this study, no evidence of changes were observed in differentiated human derived THP-1 cells following exposure of up to 24 h to 1800 MHz RFEMF at SARs of 0 and 2.0 W/kg on the expression of ST proteins or cytokines.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1594-1600"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142157053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Variation in ultraviolet-B (UV-B)-induced DNA damage repair mechanisms in plants and humans: an avenue for developing protection against skin photoaging. 紫外线-B(UV-B)诱导的 DNA 损伤修复机制在植物和人类中的变异:开发防止皮肤光老化的途径。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-09-04 DOI: 10.1080/09553002.2024.2398081
Gideon Sadikiel Mmbando
{"title":"Variation in ultraviolet-B (UV-B)-induced DNA damage repair mechanisms in plants and humans: an avenue for developing protection against skin photoaging.","authors":"Gideon Sadikiel Mmbando","doi":"10.1080/09553002.2024.2398081","DOIUrl":"10.1080/09553002.2024.2398081","url":null,"abstract":"<p><strong>Purpose: </strong>The increasing amounts of ultraviolet-B (UV-B) light in our surroundings have sparked worries about the possible effects on humans and plants. The detrimental effects of heightened UV-B exposure on these two vital elements of terrestrial life are different due to their unique and concurrent nature. Understanding common vulnerabilities and distinctive adaptations of UV-B radiation by exploring the physiological and biochemical responses of plants and the effects on human health is of huge importance. The comparative effects of UV-B radiation on plants and animals, however, are poorly studied. This review sheds light on the sophisticated web of UV-B radiation effects by navigating the complex interaction between botanical and medical perspectives, drawing upon current findings.</p><p><strong>Conclusion: </strong>By providing a comprehensive understanding of the complex effects of heightened UV-B radiation on plants and humans, this study summarizes relevant adaptation strategies to the heightened UV-B radiation stress, which offer new approaches for improving human cellular resilience to environmental stressors.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1505-1516"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Personalized dosimetry assessment of [177Lu]Lu-PSMA-617 radioligand therapy in the management of metastatic castration-resistant prostate cancer. 个性化剂量测定评估[177Lu]Lu-PSMA-617放射性配体疗法在转移性耐受性前列腺癌治疗中的应用。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-09-20 DOI: 10.1080/09553002.2024.2404448
Mahmood Kazemi-Jahromi, Elmira Yazdani, Najme Karamzade-Ziarati, Mahboobeh Asadi, Mahdi Sadeghi, Parham Geramifar
{"title":"Personalized dosimetry assessment of [<sup>177</sup>Lu]Lu-PSMA-617 radioligand therapy in the management of metastatic castration-resistant prostate cancer.","authors":"Mahmood Kazemi-Jahromi, Elmira Yazdani, Najme Karamzade-Ziarati, Mahboobeh Asadi, Mahdi Sadeghi, Parham Geramifar","doi":"10.1080/09553002.2024.2404448","DOIUrl":"10.1080/09553002.2024.2404448","url":null,"abstract":"<p><strong>Introduction: </strong>Prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) is revolutionizing the treatment landscape for metastatic castration-resistant prostate cancer (mCRPC) patients. This study aimed to establish patient-specific radiation dosimetry for [<sup>177</sup>Lu]Lu-PSMA-617 RLT in Iranian patients with mCRPC.</p><p><strong>Method: </strong>Twelve biopsy-proven prostate cancer patients (aged 68.73 ± 5.26 <i>yr</i>) underwent 6.62 ± 0.36 <i>GBq</i> [<sup>177</sup>Lu]Lu-PSMA-617 RLT. Post-therapy whole-body planar scans were acquired approximately at 4, 48, and 72 <i>h</i> post-administration, alongside a single SPECT/CT around 48 <i>h</i> using Siemens Symbia T<sub>2</sub> to obtain cumulated activity. An imaging protocol and dosimetry approach were designed to balance between time efficacy and accuracy in post-therapeutic dosimetry. Using accurate activity calibration, S-values were calculated by importing SPECT/CT images as the source/geometry into the Geant4 application for the tomographic emission (GATE) Monte Carlo (MC) toolkit. The Medical Internal Radiation Dose (MIRD) scheme was followed for subsequent absorbed dose (AD) calculations in organs at risk (OAR) and tumoral lesions using the dose actor and accumulated activities for precise dose estimations.</p><p><strong>Results: </strong>Using the MC approach, the mean ADs to the liver, spleen, right and left kidneys, and tumor lesions were 0.11 ± 0.04 <i>Gy/GBq</i>, 0.08 ± 0.03 <i>Gy/GBq</i>, 0.34 ± 0.09 <i>Gy/GBq</i>, 0.34 ± 0.10 <i>Gy/GBq</i>, and 0.83 ± 0.54 <i>Gy/GBq</i>, respectively. Notably, tumoral lesions demonstrated significantly higher ADs, indicating enhanced uptake of radiopharmaceuticals by malignant cells.</p><p><strong>Conclusions: </strong>This study indicates that the ADs of OARs and tumoral lesions from [<sup>177</sup>Lu]Lu-PSMA-617 RLT in patients with mCRPC are consistent with existing literature. The dosimetry findings suggest that increasing the administered activity of [<sup>177</sup>Lu]Lu-PSMA-617 RLT is feasible and does not pose a significant risk of adverse effects on OARs, as supported by our data. However, to validate the safety and efficacy of higher doses, further clinical follow-up studies are recommended.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1551-1559"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sex differences in radiation research. 会议报告辐射研究中的性别差异。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2023-11-27 DOI: 10.1080/09553002.2023.2283089
Lanyn P Taliaferro, Rajeev K Agarwal, C Norman Coleman, Andrea L DiCarlo, Kimberly A Hofmeyer, Shannon G Loelius, Olivia Molinar-Inglis, Dana C Tedesco, Merriline M Satyamitra
{"title":"Sex differences in radiation research.","authors":"Lanyn P Taliaferro, Rajeev K Agarwal, C Norman Coleman, Andrea L DiCarlo, Kimberly A Hofmeyer, Shannon G Loelius, Olivia Molinar-Inglis, Dana C Tedesco, Merriline M Satyamitra","doi":"10.1080/09553002.2023.2283089","DOIUrl":"10.1080/09553002.2023.2283089","url":null,"abstract":"<p><strong>Purpose: </strong>The <i>Sex Differences in Radiation Research</i> workshop addressed the role of sex as a confounder in radiation research and its implication in real-world radiological and nuclear applications.</p><p><strong>Methods: </strong>In April 2022, HHS-wide partners from the Radiation and Nuclear Countermeasures Program, the Office of Research on Women's Health National Institutes of Health Office of Women's Health, U.S. Food and Drug Administration, and the Radiological and Nuclear Countermeasures Branch at the Biomedical Advanced Research and Development Authority conducted a workshop to address the scientific implication and knowledge gaps in understanding sex in basic and translational research. The goals of this workshop were to examine sex differences in 1. Radiation animal models and understand how these may affect radiation medical countermeasure development; 2. Biodosimetry and/or biomarkers used to assess acute radiation syndrome, delayed effects of acute radiation exposure, and/or predict major organ morbidities; 3. medical research that lacks representation from both sexes. In addition, regulatory policies that influence inclusion of women in research, and the gaps that exist in drug development and device clearance were discussed. Finally, real-world sex differences in human health scenarios were also considered.</p><p><strong>Results: </strong>This report provides an overview of the two-day workshop, and open discussion among academic investigators, industry researchers, and U.S. government representatives.</p><p><strong>Conclusions: </strong>This meeting highlighted that current study designs lack the power to determine statistical significance based on sex, and much is unknown about the underlying factors that contribute to these differences. Investigators should accommodate both sexes in all stages of research to ensure that the outcome is robust, reproducible, and accurate, and will benefit public health.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"466-485"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10922591/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138292652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An inter-comparison between radiobiological characteristics of a commercial low-energy IORT system by Geant4-DNA and MCDS Monte Carlo codes. 通过 Geant4-DNA 和 MCDS 蒙特卡罗代码对商用低能量 IORT 系统的放射生物学特性进行相互比较。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-01-02 DOI: 10.1080/09553002.2023.2295290
Reza Shamsabadi, Hamid Reza Baghani
{"title":"An inter-comparison between radiobiological characteristics of a commercial low-energy IORT system by Geant4-DNA and MCDS Monte Carlo codes.","authors":"Reza Shamsabadi, Hamid Reza Baghani","doi":"10.1080/09553002.2023.2295290","DOIUrl":"10.1080/09553002.2023.2295290","url":null,"abstract":"<p><strong>Introduction: </strong>The need for accurate relative biological effectiveness (RBE) estimation for low energy therapeutic X-rays (corresponding to 50 kV nominal energy of a commercial low-energy IORT system (INTRABEAM)) is a crucial issue due to increased radiobiological effects, respect to high energy photons. Modeling of radiation-induced DNA damage through Monte Carlo (MC) simulation approaches can give useful information. Hence, this study aimed to evaluate and compare RBE of low energy therapeutic X-rays using Geant4-DNA toolkit and Monte Carlo damage simulation (MCDS) code.</p><p><strong>Materials and methods: </strong>RBE calculations were performed considering the emitted secondary electron spectra through interactions of low energy X-rays inside the medium. In Geant4-DNA, the DNA strand breaks were obtained by employing a B-DNA model in physical stage with 10.79 eV energy-threshold and the probability of hydroxyl radical's chemical reactions of about 0.13%. Furthermore, RBE estimations by MCDS code were performed under fully aerobic conditions.</p><p><strong>Results: </strong>Acquired results by two considered MC codes showed that the same trend is found for RBE<sub>DSB</sub> and RBE<sub>SSB</sub> variations. Totally, a reasonable agreement between the calculated RBE values (both RBE<sub>SSB</sub> and RBE<sub>DSB</sub>) existed between the two considered MC codes. The mean differences of 9.2% and 1.8% were obtained between the estimated RBE<sub>SSB</sub> and RBE<sub>DSB</sub> values by two codes, respectively.</p><p><strong>Conclusion: </strong>Based on the obtained results, it can be concluded that a tolerable accordance is found between the calculated RBE<sub>DSB</sub> values through MCDS and Geant4-DNA, a fact which appropriates both codes for RBE evaluations of low energy therapeutic X-rays, especially in the case of RBE<sub>DSB</sub> where lethal damages are regarded.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1226-1235"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139081184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Calibration curve for radiation dose estimation using FDXR gene expression biodosimetry - premises and pitfalls. 利用 FDXR 基因表达生物剂量学估算辐射剂量的校准曲线--前提与陷阱。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-07-02 DOI: 10.1080/09553002.2024.2373751
Kamil Brzóska, Michael Abend, Grainne O'Brien, Eric Gregoire, Matthias Port, Christophe Badie
{"title":"Calibration curve for radiation dose estimation using FDXR gene expression biodosimetry - premises and pitfalls.","authors":"Kamil Brzóska, Michael Abend, Grainne O'Brien, Eric Gregoire, Matthias Port, Christophe Badie","doi":"10.1080/09553002.2024.2373751","DOIUrl":"10.1080/09553002.2024.2373751","url":null,"abstract":"<p><strong>Purpose: </strong>Radiation-induced alterations in gene expression show great promise for dose reconstruction and for severity prediction of acute health effects. Among several genes explored as potential biomarkers, FDXR is widely used due to high upregulation in white blood cells following radiation exposure. Nonetheless, the absence of a standardized protocols for gene expression-based biodosimetry is a notable gap that warrants attention to enhance the accuracy, reproducibility and reliability. The objective of this study was to evaluate the sensitivity of transcriptional biodosimetry to differences in protocols used by different laboratories and establish guidelines for the calculation of calibration curve using FDXR expression data.</p><p><strong>Material and methods: </strong>Two sets of irradiated blood samples generated during RENEB exercise were used. The first included samples irradiated with known doses including: 0, 0.25, 0.5, 1, 2, 3 and 4 Gy. The second set consisted of three 'blind' samples irradiated with 1.8 Gy, 0.4 Gy and a sham-irradiated sample. After irradiation, samples were incubated at 37 °C over 24 h and sent to participating laboratories, where RNA isolation and FDXR expression analysis by qPCR were performed using sets of primers/probes and reference genes specific for each laboratory. Calibration curves based on FDXR expression data were generated using non-linear and linear regression and used for dose estimation of 'blind' samples.</p><p><strong>Results: </strong>Dose estimates for sham-irradiated sample (0.020-0.024 Gy) and sample irradiated with 0.4 Gy (0.369-0.381 Gy) showed remarkable consistency across all laboratories, closely approximating the true doses regardless variation in primers/probes and reference genes used. For sample irradiated with 1.8 Gy the dose estimates were less precise (1.198-2.011 Gy) but remained within an acceptable margin for triage within the context of high dose range.</p><p><strong>Conclusion: </strong>Methodological differences in reference genes and primers/probes used for FDXR expression measurement do not have a significant impact on the dose estimates generated, provided that all reference genes performed as expected and the primers/probes target a similar set of transcript variants. The preferred method for constructing a calibration curve based on FDXR expression data involves employing linear regression to establish a function that describes the relationship between the logarithm of absorbed dose and FDXR ΔCt values. However, one should be careful with using non-irradiated sample data as these cannot be accurately represented on a logarithmic scale. A standard curve generated using this approach can give reliable dose estimations in a dose range from 50 mGy to 4 Gy at least.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1202-1212"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Radiation dose estimation with multiple artificial neural networks in dicentric chromosome assay. 在双中心染色体测定中利用多重人工神经网络估算辐射剂量。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-04-30 DOI: 10.1080/09553002.2024.2338531
Seungsoo Jang, Janghee Lee, Song-Hyun Kim, Sangsoo Han, Sung-Gyun Shin, Sunghee Lee, Inhyuk Kang, Wol Soon Jo, Sookyung Jeong, Su Jung Oh, Chang Geun Lee
{"title":"Radiation dose estimation with multiple artificial neural networks in dicentric chromosome assay.","authors":"Seungsoo Jang, Janghee Lee, Song-Hyun Kim, Sangsoo Han, Sung-Gyun Shin, Sunghee Lee, Inhyuk Kang, Wol Soon Jo, Sookyung Jeong, Su Jung Oh, Chang Geun Lee","doi":"10.1080/09553002.2024.2338531","DOIUrl":"10.1080/09553002.2024.2338531","url":null,"abstract":"<p><strong>Purpose: </strong>The dicentric chromosome assay (DCA), often referred to as the 'gold standard' in radiation dose estimation, exhibits significant challenges as a consequence of its labor-intensive nature and dependency on expert knowledge. Existing automated technologies face limitations in accurately identifying dicentric chromosomes (DCs), resulting in decreased precision for radiation dose estimation. Furthermore, in the process of identifying DCs through automatic or semi-automatic methods, the resulting distribution could demonstrate under-dispersion or over-dispersion, which results in significant deviations from the Poisson distribution. In response to these issues, we developed an algorithm that employs deep learning to automatically identify chromosomes and perform fully automatic and accurate estimation of diverse radiation doses, adhering to a Poisson distribution.</p><p><strong>Materials and methods: </strong>The dataset utilized for the dose estimation algorithm was generated from 30 healthy donors, with samples created across seven doses, ranging from 0 to 4 Gy. The procedure encompasses several steps: extracting images for dose estimation, counting chromosomes, and detecting DC and fragments. To accomplish these tasks, we utilize a diverse array of artificial neural networks (ANNs). The identification of DCs was accomplished using a detection mechanism that integrates both deep learning-based object detection and classification methods. Based on these detection results, dose-response curves were constructed. A dose estimation was carried out by combining a regression-based ANN with the Monte-Carlo method.</p><p><strong>Results: </strong>In the process of extracting images for dose analysis and identifying DCs, an under-dispersion tendency was observed. To rectify the discrepancy, classification ANN was employed to identify the results of DC detection. This approach led to satisfaction of Poisson distribution criteria by 32 out of the initial pool of 35 data points. In the subsequent stage, dose-response curves were constructed using data from 25 donors. Data provided by the remaining five donors served in performing dose estimations, which were subsequently calibrated by incorporating a regression-based ANN. Of the 23 points, 22 fell within their respective confidence intervals at <i>p</i> < .05 (95%), except for those associated with doses at levels below 0.5 Gy, where accurate calculation was obstructed by numerical issues. The accuracy of dose estimation has been improved for all radiation levels, with the exception of 1 Gy.</p><p><strong>Conclusions: </strong>This study successfully demonstrates a high-precision dose estimation method across a general range up to 4 Gy through fully automated detection of DCs, adhering strictly to Poisson distribution. Incorporating multiple ANNs confirms the ability to perform fully automated radiation dose estimation. This approach is particularly advantageous in scenarios such as","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"865-874"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140875113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The very (radio)active life of Pierre C.C. 皮埃尔-C.C.非常(无线电)活跃的一生
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-10-22 DOI: 10.1080/09553002.2024.2418495
Christophe Badie, Lourdes Cruz-Garcia, Marc Ammerich
{"title":"The very (radio)active life of Pierre C.C.","authors":"Christophe Badie, Lourdes Cruz-Garcia, Marc Ammerich","doi":"10.1080/09553002.2024.2418495","DOIUrl":"10.1080/09553002.2024.2418495","url":null,"abstract":"<p><strong>Purpose: </strong>In this short tale, we describe a year of Pierre Chris Curry's ionizing radiation (IR) exposure, assessing and summarizing how much he has been exposed to over a year of his fictive life, cumulating the different types of exposures (either due to natural radiation, occupational and medical exposure), while staying reasonably credible. We have limited ourselves to IR exposure. As a recognized specialist in interventional cardiac surgery, Pierre provides lectures at international conferences requiring overseas flights. When not traveling, Pierre lives in Brittany in an area where there is high natural background radiation, owing to significant concentrations of radon, a radioactive gas produced from the natural radioactive decay of uranium found in rocks, granite in this case.</p><p><strong>Conclusion: </strong>Natural exposures correspond to half of Pierre's total yearly exposure. Therefore, where you live, and your life habits have an important impact on your radiation exposure levels. Medical exposures take the second place in the ranking, but these exposures are punctual. Although his professional exposure is the lowest percentage, this represents a chronic exposure which is continuous over the duration of his working life, and alongside the natural exposure, is building on over-time. Although Pierre calculated total yearly dose was 58.4 mSv, significantly higher than the average in countries such as France, UK or even USA, his excess risk of death from cancer was still very low 0.292%.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1605-1610"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of ionising radiation exposure in offspring and next generations: dosimetric aspects and uncertainties. 电离辐射暴露对后代和下一代的影响:剂量学方面和不确定性。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2023-11-16 DOI: 10.1080/09553002.2023.2280017
Ämilie Degenhardt, Sara Dumit, Augusto Giussani
{"title":"Effects of ionising radiation exposure in offspring and next generations: dosimetric aspects and uncertainties.","authors":"Ämilie Degenhardt, Sara Dumit, Augusto Giussani","doi":"10.1080/09553002.2023.2280017","DOIUrl":"10.1080/09553002.2023.2280017","url":null,"abstract":"<p><strong>Purpose: </strong>The impact of the exposure to ionizing radiation in the offspring and next generation has been investigated in the last decades and currently is the subject of study of the ICRP Task Group 121. Studying the effects of radiation exposure in pre-conceptional and post-conceptional phases can be a challenge since potential effects to the fetus vary depending on the stage of fetal development. Epidemiology and radiobiology studies are the two sources of information one can use to correlate the radiation dose to the human body and tissues and the resulting effects. For a proper evaluation of the outcomes of such studies, and a correct appraisal of the exposure/dose-effect relationship, (i) reliable dosimetry, (ii) accurate reporting, and (iii) reproducibility of results are required. Although variables related to dose, including for instance source of radiation, geometry of irradiation, dose rate etc., are usually known, especially in radiobiology studies, often important details of the irradiation are not reported.</p><p><strong>Conclusions: </strong>Based on standards developed by the National Cancer Institute (NCI), the National Institute of Allergy and Infectious Disease (NIAID) and the National Institute of Standards and Technology (NIST), a review of the scientific studies used by the UNSCEAR to estimate the risk of hereditary effects, and by the ICRP in its current recommendations, was conducted to evaluate the way dosimetry was reported. Dosimetry and the related uncertainties were not adequately described in the vast majority of those studies. This does not necessarily mean that they do not provide relevant information, however it prevents from a thorough verification and reproduction of their findings. In order to guarantee the reliability and robustness of the process of revision of the estimates of risk and detriment it is therefore considered mandatory to include a careful check of the new relevant literature with regard to the criteria on the completeness and reproducibility of the dosimetric information.</p>","PeriodicalId":94057,"journal":{"name":"International journal of radiation biology","volume":" ","pages":"1276-1282"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136400830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The efficacy of coaxial percutaneous iodine-125 seed implantation combined with arterial infusion chemotherapy for advanced pancreatic cancer: a randomized clinical trial. 同轴经皮碘-125粒子植入联合动脉灌注化疗治疗晚期胰腺癌的疗效:随机临床试验。
International journal of radiation biology Pub Date : 2024-01-01 Epub Date: 2024-04-30 DOI: 10.1080/09553002.2024.2347357
HongXiang Yao, Ying ZhuGe, ShiXiang Jin, ShuiBing Chen, HengYiTing Zhang, Dong Zhang, ZhiGang Chen
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