Radiation Hormesis and the Linear-No-Threshold Assumption

Nonfiction, Health & Well Being, Medical, Specialties, Radiology & Nuclear Medicine, Science & Nature, Technology, Environmental
Cover of the book Radiation Hormesis and the Linear-No-Threshold Assumption by Charles L. Sanders, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Charles L. Sanders ISBN: 9783642037207
Publisher: Springer Berlin Heidelberg Publication: November 7, 2009
Imprint: Springer Language: English
Author: Charles L. Sanders
ISBN: 9783642037207
Publisher: Springer Berlin Heidelberg
Publication: November 7, 2009
Imprint: Springer
Language: English

Current radiation protection standards are based upon the application of the linear no-threshold (LNT) assumption, which considers that even very low doses of ionizing radiation can cause cancer. The radiation hormesis hypothesis, by contrast, proposes that low-dose ionizing radiation is beneficial. In this book, the author examines all facets of radiation hormesis in detail, including the history of the concept and mechanisms, and presents comprehensive, up-to-date reviews for major cancer types. It is explained how low-dose radiation can in fact decrease all-cause and all-cancer mortality and help to control metastatic cancer. Attention is also drawn to biases in epidemiological research when using the LNT assumption. The author shows how proponents of the LNT assumption consistently reject, manipulate, and deliberately ignore an overwhelming abundance of published data and falsely claim that no reliable data are available at doses of less than 100 mSv.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Current radiation protection standards are based upon the application of the linear no-threshold (LNT) assumption, which considers that even very low doses of ionizing radiation can cause cancer. The radiation hormesis hypothesis, by contrast, proposes that low-dose ionizing radiation is beneficial. In this book, the author examines all facets of radiation hormesis in detail, including the history of the concept and mechanisms, and presents comprehensive, up-to-date reviews for major cancer types. It is explained how low-dose radiation can in fact decrease all-cause and all-cancer mortality and help to control metastatic cancer. Attention is also drawn to biases in epidemiological research when using the LNT assumption. The author shows how proponents of the LNT assumption consistently reject, manipulate, and deliberately ignore an overwhelming abundance of published data and falsely claim that no reliable data are available at doses of less than 100 mSv.

More books from Springer Berlin Heidelberg

Cover of the book NF-kB in Health and Disease by Charles L. Sanders
Cover of the book Spatial Filtering for the Control of Smart Structures by Charles L. Sanders
Cover of the book Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder and Its Treatment by Charles L. Sanders
Cover of the book Upper and Lower Bounds for Stochastic Processes by Charles L. Sanders
Cover of the book Early Warning for Geological Disasters by Charles L. Sanders
Cover of the book Matrix Information Geometry by Charles L. Sanders
Cover of the book New Insights into the Theory of Giffen Goods by Charles L. Sanders
Cover of the book Mathematical Modeling and Validation in Physiology by Charles L. Sanders
Cover of the book Geoinformation Metadata in INSPIRE and SDI by Charles L. Sanders
Cover of the book Industrial Image Processing by Charles L. Sanders
Cover of the book The Mount Pinatubo Eruption by Charles L. Sanders
Cover of the book Antiemetics in the Supportive Care of Cancer Patients by Charles L. Sanders
Cover of the book Hemopoietic System by Charles L. Sanders
Cover of the book Human-Centric Decision-Making Models for Social Sciences by Charles L. Sanders
Cover of the book Rule of Law in China by Charles L. Sanders
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy