DNA damage and gene expression changes in patients exposed to low-dose X-radiation during neuro-interventional radiology procedures

Visweswaran, Shangamithra; Joseph, Santhosh; S, Vinay Hegde; Annalakshmi, O.; Jose, M.T.; Prakash, Venkatachalam

doi:10.1016/j.mrgentox.2019.05.011

Cited by 24 publications

(17 citation statements)

References 34 publications

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Section: Introductionmentioning

confidence: 99%

“…3 The increasing use of ionizing radiation (IR) in medical diagnosis and treatment has raised concerns about its potential long-term effects on human health, as prolonged exposure to low-dose radiation has been found to cause adverse health effects including genomic instability and cancer. 4,5 Given this, recent years has seen increased interest in understanding the biological effects of chronic low-dose radiation exposure and its relationship to genomic instability. 6 This work has shown that occupational radiation exposure leads to increased genomic instability; however, little information is available regarding the effects and possible mechanisms of low-dose radiation over a protracted period of time.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Genomic Instability in Medical Workers Exposed to Chronic Low-Dose X-Rays in Northern China

Fang

et al. 2019

Dose-Response

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The increasing use of ionizing radiation (IR) in medical diagnosis and treatment has caused considerable concern regarding the effects of occupational exposure on human health. Despite this concern, little information is available regarding possible effects and the mechanism behind chronic low-dose irradiation. The present study assessed potential genomic damage in workers occupationally exposed to low-dose X-rays. A variety of analyses were conducted, including assessing the level of DNA damage and chromosomal aberrations (CA) as well as cytokinesis-block micronucleus (CBMN) assay, gene expression profiling, and antioxidant level determination. Here, we report that the level of DNA damage, CA, and CBMN were all significantly increased. Moreover, the gene expression and antioxidant activities were changed in the peripheral blood of men exposed to low-dose X-rays. Collectively, our findings indicated a strong correlation between genomic instability and duration of low-dose IR exposure. Our data also revealed the DNA damage repair and antioxidative mechanisms which could result in the observed genomic instability in health-care workers exposed to chronic low-dose IR.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Genomic Instability in Medical Workers Exposed to Chronic Low-Dose X-Rays in Northern China

Fang

et al. 2019

Dose-Response

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“…Most of the studies on the thyroid have assessed the effect of exposure to radiation originating from CT, while a few studies reported on the biological events induced by experimental LDR. LDR < 0.5 Gy could induce increase the significant risk of mediated by ROS generation and DNA damage-responsive expressions of γH2AX and p-p53 (Ser15) in the thyroid ( Kanagaraj et al, 2015 ; Kurashige et al, 2017 ; Visweswaran et al, 2019 ).…”

Section: The Organ-specific Effects Of Ldr In Cell and Mouse Modelsmentioning

confidence: 99%

Organ-Specific Effects of Low Dose Radiation Exposure: A Comprehensive Review

et al. 2020

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Ionizing radiation (IR) is a high-energy radiation whose biological effects depend on the irradiation doses. Low-dose radiation (LDR) is delivered during medical diagnoses or by an exposure to radioactive elements and has been linked to the occurrence of chronic diseases, such as leukemia and cardiovascular diseases. Though epidemiological research is indispensable for predicting and dealing with LDR-induced abnormalities in individuals exposed to LDR, little is known about epidemiological markers of LDR exposure. Moreover, difference in the LDR-induced molecular events in each organ has been an obstacle to a thorough investigation of the LDR effects and a validation of the experimental results in in vivo models. In this review, we summarized the recent reports on LDR-induced risk of organ-specifically arranged the alterations for a comprehensive understanding of the biological effects of LDR. We suggested that LDR basically caused the accumulation of DNA damages, controlled systemic immune systems, induced oxidative damages on peripheral organs, and even benefited the viability in some organs. Furthermore, we concluded that understanding of organ-specific responses and the biological markers involved in the responses is needed to investigate the precise biological effects of LDR.

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“…However, for complicated FGIs, e.g., neuro-interventional procedures, repeatedly acquired digital subtraction angiography acquisitions, cone-beam CT reconstructions, and biplane imaging can lead to high dose values [5][6][7][8][9]. They may cause DNA damage [10] or cataract [11]. To alert physicians of potential deterministic injuries, such as local skin rashes or hair loss [6,[12][13][14], today's interventional X-ray systems are equipped with skin entrance dose tracking techniques based on a patient model [15].…”

Section: Introductionmentioning

confidence: 99%

XDose: toward online cross-validation of experimental and computational X-ray dose estimation

et al. 2020

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Purpose As the spectrum of X-ray procedures has increased both for diagnostic and for interventional cases, more attention is paid to X-ray dose management. While the medical benefit to the patient outweighs the risk of radiation injuries in almost all cases, reproducible studies on organ dose values help to plan preventive measures helping both patient as well as staff. Dose studies are either carried out retrospectively, experimentally using anthropomorphic phantoms, or computationally. When performed experimentally, it is helpful to combine them with simulations validating the measurements. In this paper, we show how such a dose simulation method, carried out together with actual X-ray experiments, can be realized to obtain reliable organ dose values efficiently. Methods A Monte Carlo simulation technique was developed combining down-sampling and super-resolution techniques for accelerated processing accompanying X-ray dose measurements. The target volume is down-sampled using the statistical mode first. The estimated dose distribution is then up-sampled using guided filtering and the high-resolution target volume as guidance image. Second, we present a comparison of dose estimates calculated with our Monte Carlo code experimentally obtained values for an anthropomorphic phantom using metal oxide semiconductor field effect transistor dosimeters. Results We reconstructed high-resolution dose distributions from coarse ones (down-sampling factor 2 to 16) with error rates ranging from 1.62 % to 4.91 %. Using down-sampled target volumes further reduced the computation time by 30 % to 60 %. Comparison of measured results to simulated dose values demonstrated high agreement with an average percentage error of under $$10 \%$$ 10 % for all measurement points. Conclusions Our results indicate that Monte Carlo methods can be accelerated hardware-independently and still yield reliable results. This facilitates empirical dose studies that make use of online Monte Carlo simulations to easily cross-validate dose estimates on-site.

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DNA damage and gene expression changes in patients exposed to low-dose X-radiation during neuro-interventional radiology procedures

Cited by 24 publications

References 34 publications

Assessment of Genomic Instability in Medical Workers Exposed to Chronic Low-Dose X-Rays in Northern China

Assessment of Genomic Instability in Medical Workers Exposed to Chronic Low-Dose X-Rays in Northern China

Organ-Specific Effects of Low Dose Radiation Exposure: A Comprehensive Review

XDose: toward online cross-validation of experimental and computational X-ray dose estimation

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