Literature DB >> 24174422

Report 86: Quantification and reporting of low-dose and other heterogeneous exposures.

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Abstract

The absorbed dose, the mean value of the energy imparted by ionizing radiation to a volume of interest divided by the mass of that volume, is often a very effective way to describe radiation exposures. For example, in radiation therapy and industrial radiation processing, the absorbed dose is usually adequate for predicting the results of the irradiation. However, in situations in which the heterogeneity of the energy deposition or of the target structure results in individual targets (often assumed to be a cell or a cell nucleus) receiving energy depositions that are dramatically different from the mean value, the absorbed dose does not provide sufficient information needed to fully understand the consequences of irradiation or for the use of radiation-response models. In some cases, such as microbeam irradiations, heterogeneous exposures have been created intentionally in order to study mechanisms of response to ionizing radiation. In other situations, such as background-radiation exposure, the heterogeneity occurs as a result of the low level of radiation exposure or of a small local concentration of a radioactive material. When the energy deposition is heterogeneous, the conventional description in terms of absorbed dose can be misleading because it suggests that neighboring structures will incur the same amount of damage, and that the amount received by an individual target can be decreased to as low a value as desired. In fact, the individual targets can receive highly variable energy depositions, with a mean and variance determined by the physical properties of the radiation and the target. Reliance on the mean values rather than the spectrum of individual energy depositions can lead to inappropriate conclusions about the relationship between energy deposited and the initiation of biological response. Even with the same amount of deposited energy, the spectrum of initial damage products depends on radiation quality (sometimes specified in terms of the linear energy transfer). However, the complex combinations of biomolecular processes occurring following irradiation make it unlikely that any single-parameter description of the radiation interaction will be satisfactory for understanding biological processes. This Report recommends that, in cases in which energy deposition is likely to be heterogeneous, a detailed description of the radiation field, with an appropriate description of the irradiated system, should be given. The complete description of the radiation is the energy distribution of the particle radiance as a function of time and particle type. However, simplified descriptions such as the distribution of fluence rate, the probability density of lineal energy, and the event rate, or even the absorbed dose rate and radiation quality are appropriate descriptions of the irradiation in many cases.

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Year:  2011        PMID: 24174422     DOI: 10.1093/jicru/ndr028

Source DB:  PubMed          Journal:  J ICRU        ISSN: 1473-6691


  10 in total

1.  Low-radiation environment affects the development of protection mechanisms in V79 cells.

Authors:  E Fratini; C Carbone; D Capece; G Esposito; G Simone; M A Tabocchini; M Tomasi; M Belli; L Satta
Journal:  Radiat Environ Biophys       Date:  2015-01-31       Impact factor: 1.925

2.  Hemopoietic response to low dose-rates of ionizing radiation shows stem cell tolerance and adaptation.

Authors:  Theodor M Fliedner; Dieter H Graessle; Viktor Meineke; Ludwig E Feinendegen
Journal:  Dose Response       Date:  2012-10-09       Impact factor: 2.658

3.  Physical Considerations for Understanding Responses of Biological Systems to Low Doses of Ionizing Radiation: Nucleosome Clutches Constitute a Heterogeneous Distribution of Target Volumes.

Authors:  Roger W Howell
Journal:  Health Phys       Date:  2016-03       Impact factor: 1.316

4.  Hybrid volumetric-modulated arc therapy for postoperative breast cancer including regional lymph nodes: the advantage of dosimetric data and safety of toxicities.

Authors:  Yoshiko Doi; Minoru Nakao; Hideharu Miura; Shuichi Ozawa; Masahiro Kenjo; Yasushi Nagata
Journal:  J Radiat Res       Date:  2020-09-08       Impact factor: 2.724

5.  Significant impact on the oncologic outcomes with intensity modulated radiotherapy and conformational radiotherapy over conventional radiotherapy in cervix cancer patients treated with radiotherapy.

Authors:  Gustavo Arruda Viani; Fred Muller Dos Santos; Juliana Fernandes Pavoni
Journal:  Rep Pract Oncol Radiother       Date:  2020-06-07

Review 6.  Mechanisms and biological importance of photon-induced bystander responses: do they have an impact on low-dose radiation responses.

Authors:  Masanori Tomita; Munetoshi Maeda
Journal:  J Radiat Res       Date:  2014-10-31       Impact factor: 2.724

7.  Spatial mapping of the biologic effectiveness of scanned particle beams: towards biologically optimized particle therapy.

Authors:  Fada Guan; Lawrence Bronk; Uwe Titt; Steven H Lin; Dragan Mirkovic; Matthew D Kerr; X Ronald Zhu; Jeffrey Dinh; Mary Sobieski; Clifford Stephan; Christopher R Peeler; Reza Taleei; Radhe Mohan; David R Grosshans
Journal:  Sci Rep       Date:  2015-05-18       Impact factor: 4.379

Review 8.  Personalized Dosimetry for Radionuclide Therapy Using Molecular Imaging Tools.

Authors:  Michael Ljungberg; Katarina Sjögreen Gleisner
Journal:  Biomedicines       Date:  2016-11-15

9.  Dosimetric impact on changes in target volumes during intensity-modulated radiotherapy for nasopharyngeal carcinoma.

Authors:  Wafa Mnejja; Hend Daoud; Nejla Fourati; Tarek Sahnoun; Wicem Siala; Leila Farhat; Jamel Daoud
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-16

10.  Patterns of cervical cancer brachytherapy in India: results of an online survey supported by the Indian Brachytherapy Society.

Authors:  Abhishek Chatterjee; Surbhi Grover; Lavanya Gurram; Supriya Sastri; Umesh Mahantshetty
Journal:  J Contemp Brachytherapy       Date:  2019-12-06
  10 in total

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