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Impact of MLC properties and IMRT technique in meningioma and head-and-neck treatments

Overview of attention for article published in Radiation Oncology, September 2015
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Title
Impact of MLC properties and IMRT technique in meningioma and head-and-neck treatments
Published in
Radiation Oncology, September 2015
DOI 10.1186/s13014-015-0447-z
Pubmed ID
Authors

Steffi Kantz, Matthias Söhn, Almut Troeller, Michael Reiner, Helmut Weingandt, Markus Alber, Claus Belka, Ute Ganswindt

Abstract

The impact of multileaf collimator (MLC) design and IMRT technique on plan quality and delivery improvements for head-and-neck and meningioma patients is compared in a planning study. Ten previously treated patients (5 head-and-neck, 5 meningioma) were re-planned for step-and-shoot IMRT (ssIMRT), sliding window IMRT (dMLC) and VMAT using the MLCi2 without (-) and with (+) interdigitation and the Agility-MLC attached to an Elekta 6MV linac. This results in nine plans per patient. Consistent patient individual optimization parameters are used. Plans are generated using the research tool Hyperion V2.4 (equivalent to Elekta Monaco 3.2) with hard constraints for critical structures and objectives for target structures. For VMAT plans, the improved segment shape optimization is used. Critical structures are evaluated based on QUANTEC criteria. PTV coverage is compared by EUD, Dmean, homogeneity and conformity. Additionally, MU/plan, treatment times and number of segments are evaluated. As constrained optimization is used, all plans fulfill the hard constraints. Doses to critical structures do not differ more than 1Gy between the nine generated plans for each patient. Only larynx, parotids and eyes differ up to 1.5Gy (Dmean or Dmax) or 7 % (volume-constraint) due to (1) increased scatter, (2) not avoiding structures when using the full range of gantry rotation and (3) improved leaf sequencing with advanced segment shape optimization for VMAT plans. EUD, Dmean, homogeneity and conformity are improved using the Agility-MLC. However, PTV coverage is more affected by technique. MU increase with the use of dMLC and VMAT, while the MU are reduced by using the Agility-MLC. Fastest treatments are always achieved using Agility-MLC, especially in combination with VMAT. Fastest treatments with the best PTV coverage are found for VMAT plans with Agility-MLC, achieving the same sparing of healthy tissue compared to the other combinations of ssIMRT, dMLC and VMAT with either MLCi2(-/+) or Agility.

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Mendeley readers

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Researcher 4 12%
Other 3 9%
Student > Master 3 9%
Student > Ph. D. Student 3 9%
Other 7 21%
Unknown 8 24%
Readers by discipline Count As %
Physics and Astronomy 8 24%
Medicine and Dentistry 7 21%
Mathematics 1 3%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Other 5 15%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2015.
All research outputs
#20,290,425
of 22,826,360 outputs
Outputs from Radiation Oncology
#1,678
of 2,057 outputs
Outputs of similar age
#224,394
of 267,079 outputs
Outputs of similar age from Radiation Oncology
#57
of 64 outputs
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So far Altmetric has tracked 2,057 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.