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The Nuts and Bolts of Low-level Laser (Light) Therapy

Overview of attention for article published in Annals of Biomedical Engineering, November 2011
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Title
The Nuts and Bolts of Low-level Laser (Light) Therapy
Published in
Annals of Biomedical Engineering, November 2011
DOI 10.1007/s10439-011-0454-7
Pubmed ID
Authors

Hoon Chung, Tianhong Dai, Sulbha K. Sharma, Ying-Ying Huang, James D. Carroll, Michael R. Hamblin

Abstract

Soon after the discovery of lasers in the 1960s it was realized that laser therapy had the potential to improve wound healing and reduce pain, inflammation and swelling. In recent years the field sometimes known as photobiomodulation has broadened to include light-emitting diodes and other light sources, and the range of wavelengths used now includes many in the red and near infrared. The term "low level laser therapy" or LLLT has become widely recognized and implies the existence of the biphasic dose response or the Arndt-Schulz curve. This review will cover the mechanisms of action of LLLT at a cellular and at a tissular level and will summarize the various light sources and principles of dosimetry that are employed in clinical practice. The range of diseases, injuries, and conditions that can be benefited by LLLT will be summarized with an emphasis on those that have reported randomized controlled clinical trials. Serious life-threatening diseases such as stroke, heart attack, spinal cord injury, and traumatic brain injury may soon be amenable to LLLT therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 1,040 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Brazil 3 <1%
Germany 3 <1%
United Kingdom 2 <1%
Austria 1 <1%
Sweden 1 <1%
Zimbabwe 1 <1%
France 1 <1%
Canada 1 <1%
Other 6 <1%
Unknown 1016 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 135 13%
Researcher 134 13%
Student > Bachelor 125 12%
Student > Ph. D. Student 107 10%
Student > Doctoral Student 61 6%
Other 201 19%
Unknown 277 27%
Readers by discipline Count As %
Medicine and Dentistry 257 25%
Engineering 72 7%
Agricultural and Biological Sciences 65 6%
Nursing and Health Professions 62 6%
Biochemistry, Genetics and Molecular Biology 46 4%
Other 206 20%
Unknown 332 32%