scholarly journals An update on effects of ionizing radiation exposure on the eye

2020 ◽  
Vol 93 (1115) ◽  
pp. 20190829 ◽  
Author(s):  
Nobuyuki Hamada ◽  
Tamara V. Azizova ◽  
Mark P. Little

The International Commission on Radiological Protection (ICRP) has considered for over 60 years that the lens of the eye is among the most radiosensitive tissues, and has recommended dose limits for the lens to prevent occurrence of vision impairing cataracts (VICs). Epidemiological evidence that doses much lower than previously thought produce cataracts led ICRP to recommend reducing dose threshold for VICs and reducing an occupational equivalent dose limit for the lens in 2011, when only a single threshold of 0.5 Gy was recommended. On the basis of epidemiological evidence, ICRP assumed progression of minor opacities into VICs and no dose rate effect. This contrasts with previously recommended separate thresholds for minor opacities and VICs, and for different exposure scenarios. Progression was assumed based on similar risks of cataracts and cataract surgery in Japanese atomic bomb survivors. The absence of dose rate effect derived from the observed similar thresholds for protracted exposures in Chernobyl cleanup workers and in atomic bomb survivors. Since 2011, there has been an increasing body of epidemiological evidence relating to cataracts and other ocular diseases (i.e. glaucoma and macular degeneration), particularly at low doses and low dose rates. This review paper gives an overview of the scientific basis of the 2011 ICRP recommendation, discusses the plausibility of these two assumptions in the light of emerging scientific evidence, and considers the radiosensitivity of the lens among ocular structures.

2020 ◽  
Vol 59 (4) ◽  
pp. 601-629 ◽  
Author(s):  
Alexander Ulanowski ◽  
Elena Shemiakina ◽  
Denise Güthlin ◽  
Janine Becker ◽  
Dale Preston ◽  
...  

Abstract ProZES is a software tool for estimating the probability that a given cancer was caused by preceding exposure to ionising radiation. ProZES calculates this probability, the assigned share, for solid cancers and hematopoietic malignant diseases, in cases of exposures to low-LET radiation, and for lung cancer in cases of exposure to radon. User-specified inputs include birth year, sex, type of diagnosed cancer, age at diagnosis, radiation exposure history and characteristics, and smoking behaviour for lung cancer. Cancer risk models are an essential part of ProZES. Linking disease and exposure to radiation involves several methodological aspects, and assessment of uncertainties received particular attention. ProZES systematically uses the principle of multi-model inference. Models of radiation risk were either newly developed or critically re-evaluated for ProZES, including dedicated models for frequent types of cancer and, for less common diseases, models for groups of functionally similar cancer sites. The low-LET models originate mostly from the study of atomic bomb survivors in Hiroshima and Nagasaki. Risks predicted by these models are adjusted to be applicable to the population of Germany and to different time periods. Adjustment factors for low dose rates and for a reduced risk during the minimum latency time between exposure and cancer are also applied. The development of the methodology and software was initiated and supported by the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) taking up advice by the German Commission on Radiological Protection (SSK, Strahlenschutzkommission). These provide the scientific basis to support decision making on compensation claims regarding malignancies following occupational exposure to radiation in Germany.


2021 ◽  
Vol 23 (7) ◽  
pp. 4217-4229
Author(s):  
Shahid Maqbool ◽  
Yongsheng Li ◽  
Suleman Muhammad ◽  
Zhengwei Yan ◽  
Shujing Shi

Radiation-enhanced precipitation (REP) in Fe–Cu alloys results in higher volume fraction and radius of Cu precipitates.


2021 ◽  
Vol 640 (3) ◽  
pp. 032006
Author(s):  
U A Bliznyuk ◽  
P Yu Borchegovskaya ◽  
A P Chernyaev ◽  
V S Ipatova ◽  
V A Leontiev ◽  
...  

Author(s):  
V. S. Pershenkov ◽  
D. V. Savchenkov ◽  
A. S. Bakerenkov ◽  
V. N. Ulimov ◽  
A. Y. Nikiforov ◽  
...  

1999 ◽  
Vol 40 (Suppl.) ◽  
pp. 45-52 ◽  
Author(s):  
HIROSHI TAUCHI ◽  
SATORU ENDO ◽  
KIYOMI EGUCHI-KASAI ◽  
YOSHIYA FURUSAWA ◽  
MASAO SUZUKI ◽  
...  

Author(s):  
V. S. Pershenkov ◽  
A. S. Bakerenkov ◽  
V. A. Telets ◽  
V. V. Belyakov ◽  
V. A. Felitsyn ◽  
...  

1984 ◽  
Vol 23 (Part 2, No. 6) ◽  
pp. L417-L420 ◽  
Author(s):  
Masao Tamura ◽  
Shoji Shukuri ◽  
Tohru Ishitani ◽  
Masakazu Ichikawa ◽  
Takahisa Doi

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