Evidence map›Paper›PMID 26328628›Full record

ArticleRadiation oncology (London, England)2015

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

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

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Recurrence pattern analysis after [Radiation oncology (London, England) · 2018
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  7. Left-sided breast cancer and risks of secondary lung cancer and ischemic heart disease : Effects of modern radiotherapy techniques.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Steffi KantzDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Steffi.Kantz@med.uni-muenchen.de.
Matthias SöhnDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Matthias.Soehn@med.uni-muenchen.de.
Almut TroellerDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Almut.Troeller@med.uni-muenchen.de.
Michael ReinerDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Michael.Reiner@med.uni-muenchen.de.
Helmut WeingandtDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Helmut.Weingandt@med.uni-munenchen.de.
Markus AlberDepartment of Clinical Medicine, Department of Oncology, Aarhus University, Aarhus, Denmark. malb@oncology.au.dk.
Claus BelkaDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Claus.Belka@med.uni-muenchen.de.
Ute GanswindtDepartment of Radiation Oncology, Ludwig-Maximilians-University, Munich, Germany. Ute.Ganswindt@med.uni-muenchen.de.
Ludwig-Maximilians-Universität München · DEAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 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. MATERIAL AND

methodsTen 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.

resultsAs constrained optimization is used, all plans fulfill the hard constraints. Doses to critical structures do not differ more than 1 Gy between the nine generated plans for each patient. Only larynx, parotids and eyes differ up to 1.5 Gy (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.

conclusionFastest 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.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsHumansMeningeal NeoplasmsMeningiomaOrgans at RiskParticle AcceleratorsRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedSquamous Cell Carcinoma of Head and Neck

Identifiers

PMID26328628
PMCPMC4556413
OpenAlexW2155231934

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.