Literature DB >> 33591538

Recommendations for simulating and measuring with biofabricated lung equivalent materials based on atomic composition analysis.

Paul H Charles1,2,3, Scott Crowe4,5,6,7, Tanya Kairn4,5,6,7.   

Abstract

Monte Carlo simulations of lung equivalent materials often involve the density being artificially lowered rather than a true lung tissue (or equivalent plastic) and air composition being simulated. This study used atomic composition analysis to test the suitability of this method. Atomic composition analysis was also used to test the suitability of 3D printing PLA or ABS with air to simulate lung tissue. It was found that there was minimal atomic composition difference when using an artificially lowered density, with a 0.8 % difference in Nitrogen the largest observed. Therefore, excluding infill pattern effects, lowering the density of the lung tissue (or plastic) in simulations should be sufficiently accurate to simulate an inhaled lung, without the need to explicitly include the air component. The average electron density of 3D printed PLA and air, and ABS and air were just 0.3 % and 1.3 % different to inhaled lung, confirming their adequacy for MV photon dosimetry. However large average atomic number differences (5.6 % and 20.4 % respectively) mean that they are unlikely to be suitable for kV photon dosimetry.

Entities:  

Keywords:  3D printing; ABS; Atomic composition; Lung; Monte Carlo; PLA

Year:  2021        PMID: 33591538     DOI: 10.1007/s13246-021-00979-3

Source DB:  PubMed          Journal:  Phys Eng Sci Med        ISSN: 2662-4729


  2 in total

1.  The water equivalence of solid phantoms for low energy photon beams.

Authors:  Robin Hill; Zdenka Kuncic; Clive Baldock
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  An in-depth Monte Carlo study of lateral electron disequilibrium for small fields in ultra-low density lung: implications for modern radiation therapy.

Authors:  Brandon Disher; George Hajdok; Stewart Gaede; Jerry J Battista
Journal:  Phys Med Biol       Date:  2012-03-06       Impact factor: 3.609

  2 in total

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