Evidence map›Paper›PMID 26460997›Full record

ArticleInternational journal of radiation oncology, biology, physics2015

Reducing Dose Uncertainty for Spot-Scanning Proton Beam Therapy of Moving Tumors by Optimizing the Spot Delivery Sequence.

Heng Li, X Ronald Zhu, Xiaodong Zhang

Abstract readValidation Study
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Roadmap: proton therapy physics and biology.Physics in medicine and biology · 2021
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Robust optimization in intensity-modulated proton therapy to account for anatomy changes in lung cancer patients.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2015
    Article
  18. Advances in proton therapy in lung cancer.Therapeutic advances in respiratory disease
    Review
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

3 authors.

Heng LiDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: hengli@mdanderson.org.
X Ronald ZhuDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Xiaodong ZhangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Funding

Statistics, Data Exchange, Management and SupportP01CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DELANEY, THOMAS F · 1985 to 2013
$28.3M
MDACC Clinical and Research Physics SupportU19CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HONG, THEODORE S · 2014 to 2018
$11.2M
NCI NIH HHS P01 CA021239NCI NIH HHS U19 CA021239
6 · The paper itself

Abstract

purposeTo develop and validate a novel delivery strategy for reducing the respiratory motion-induced dose uncertainty of spot-scanning proton therapy. METHODS AND MATERIALS: The spot delivery sequence was optimized to reduce dose uncertainty. The effectiveness of the delivery sequence optimization was evaluated using measurements and patient simulation. One hundred ninety-one 2-dimensional measurements using different delivery sequences of a single-layer uniform pattern were obtained with a detector array on a 1-dimensional moving platform. Intensity modulated proton therapy plans were generated for 10 lung cancer patients, and dose uncertainties for different delivery sequences were evaluated by simulation.

resultsWithout delivery sequence optimization, the maximum absolute dose error can be up to 97.2% in a single measurement, whereas the optimized delivery sequence results in a maximum absolute dose error of ≤11.8%. In patient simulation, the optimized delivery sequence reduces the mean of fractional maximum absolute dose error compared with the regular delivery sequence by 3.3% to 10.6% (32.5-68.0% relative reduction) for different patients.

conclusionsOptimizing the delivery sequence can reduce dose uncertainty due to respiratory motion in spot-scanning proton therapy, assuming the 4-dimensional CT is a true representation of the patients' breathing patterns.

Indexed as

MovementRespirationUncertaintyComputer GraphicsHumansLung NeoplasmsProton TherapyRadiographyRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRetrospective Studies

Identifiers

PMID26460997
PMCPMC4803501

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Registered trials

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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.