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Proton beam therapy in non-small cell lung cancer: state of the art

Overview of attention for article published in Lung Cancer: Targets and Therapy, August 2017
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11 tweeters
2 Facebook pages


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Readers on

26 Mendeley
Proton beam therapy in non-small cell lung cancer: state of the art
Published in
Lung Cancer: Targets and Therapy, August 2017
DOI 10.2147/lctt.s117647
Pubmed ID

Hideyuki Harada, Shigeyuki Murayama


This review summarizes the past and present status of proton beam therapy (PBT) for lung cancer. PBT has a unique characteristic called the Bragg peak that enables a reduction in the dose of normal tissue around the tumor, but is sensitive to the uncertainties of density changes. The heterogeneity in electron density for thoracic lesions, such as those in the lung and mediastinum, and tumor movement according to respiration necessitates respiratory management for PBT to be applied in lung cancer patients. There are two types of PBT - a passively scattered approach and a scanning approach. Typically, a passively scattered approach is more robust for respiratory movement and a scanning approach could result in a more conformal dose distribution even when the tumor shape is complex. Large tumors of centrally located lung cancer may be more suitably irradiated than with intensity-modulated radiotherapy (IMRT) or stereotactic body radiotherapy (SBRT). For a locally advanced lung cancer, PBT can spare the lung and heart more than photon IMRT. However, no randomized controlled trial has reported differences between PBT and IMRT or SBRT for early-stage and locally advanced lung cancers. Therefore, a well-designed controlled trial is warranted.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Ph. D. Student 4 15%
Researcher 4 15%
Lecturer 2 8%
Professor > Associate Professor 2 8%
Other 8 31%
Unknown 1 4%
Readers by discipline Count As %
Medicine and Dentistry 14 54%
Physics and Astronomy 5 19%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 2 8%