Evidence map›Paper›PMID 32476247›Full record

ArticleJournal of applied clinical medical physics2020

The dosimetric impact of stabilizing spinal implants in radiotherapy treatment planning with protons and photons: standard titanium alloy vs. radiolucent carbon-fiber-reinforced PEEK systems.

Birgit S Müller, Yu-Mi Ryang, Markus Oechsner, Mathias Düsberg, Bernhard Meyer, Stephanie E Combs, Jan J Wilkens

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Safety and efficacy of carbon fiber-reinforced polyetheretherketone implants in primary and metastatic spinal tumors: a systematic review and meta-analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
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  8. Mitigating dosimetric perturbations from large metal implants utilizing spot-scanning proton arc therapy.Medical dosimetry : official journal of the American Association of Medical Dosimetrists · 2026
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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

7 authors at 2 institutions in 1 country.

Birgit S MüllerDepartment of Radiation Oncology, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Yu-Mi RyangDepartment of Neurosurgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Markus OechsnerDepartment of Radiation Oncology, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Mathias DüsbergDepartment of Radiation Oncology, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Bernhard MeyerDepartment of Neurosurgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Stephanie E CombsDepartment of Radiation Oncology, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Jan J WilkensDepartment of Radiation Oncology, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.
Klinikum rechts der Isar · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThroughout the last years, carbon-fibre-reinforced PEEK (CFP) pedicle screw systems were introduced to replace standard titanium alloy (Ti) implants for spinal instrumentation, promising improved radiotherapy (RT) treatment planning accuracy. We compared the dosimetric impact of both implants for intensity modulated proton (IMPT) and volumetric arc photon therapy (VMAT), with the focus on uncertainties in Hounsfield unit assignment of titanium alloy.

methodsRetrospective planning was performed on CT data of five patients with Ti and five with CFP implants. Carbon-fibre-reinforced PEEK systems comprised radiolucent pedicle screws with thin titanium-coated regions and titanium tulips. For each patient, one IMPT and one VMAT plan were generated with a nominal relative stopping power (SP) (IMPT) and electron density (ρ) (VMAT) and recalculated onto the identical CT with increased and decreased SP or ρ by ±6% for the titanium components.

resultsRecalculated VMAT dose distributions hardly deviated from the nominal plans for both screw types. IMPT plans resulted in more heterogeneous target coverage, measured by the standard deviation σ inside the target, which increased on average by 7.6 ± 2.3% (Ti) vs 3.4 ± 1.2% (CFP). Larger SPs lead to lower target minimum doses, lower SPs to higher dose maxima, with a more pronounced effect for Ti screws.

conclusionsWhile VMAT plans showed no relevant difference in dosimetric quality between both screw types, IMPT plans demonstrated the benefit of CFP screws through a smaller dosimetric impact of CT-value uncertainties compared to Ti. Reducing metal components in implants will therefore improve dose calculation accuracy and lower the risk for tumor underdosage.

Indexed as

Proton TherapyRadiotherapy, Intensity-ModulatedAlloysBenzophenonesCarbon FiberHumansKetonesPhotonsPolyethylene GlycolsPolymersProtonsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective StudiesTitaniumAlloysBenzophenonesCarbon FiberKetonespolyetheretherketonePolyethylene GlycolsPolymersProtonsTitaniumcarbon-fibre-reinforced PEEKIMPTradiation therapyradiolucent spinal implantsspinal instrumentationtreatment planning

Identifiers

PMID32476247
PMCPMC7484848
OpenAlexW3030192215

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.