Evidence map›Paper›PMID 29891207›Full record

ArticleInternational journal of radiation oncology, biology, physics2018

Changes in Regional Ventilation During Treatment and Dosimetric Advantages of CT Ventilation Image Guided Radiation Therapy for Locally Advanced Lung Cancer.

Tokihiro Yamamoto, Sven Kabus, Matthieu Bal, Karl Bzdusek, Paul J Keall, Cari Wright, Stanley H Benedict, Megan E Daly

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors at 6 institutions in 4 countries.

Tokihiro YamamotoDepartment of Radiation Oncology, University of California Davis, Sacramento, California. Electronic address: toyamamoto@ucdavis.edu.
Sven KabusDepartment of Digital Imaging, Philips Research, Hamburg, Germany.
Matthieu BalPhilips Healthcare, Best, The Netherlands.
Karl BzdusekPhilips Healthcare, Fitchburg, Wisconsin.
Paul J KeallRadiation Physics Laboratory, Sydney Medical School, University of Sydney, New South Wales, Australia.
Cari WrightDepartment of Radiation Oncology, University of California Davis, Sacramento, California.
Stanley H BenedictDepartment of Radiation Oncology, University of California Davis, Sacramento, California.
Megan E DalyDepartment of Radiation Oncology, University of California Davis, Sacramento, California.
University of California, Davis · USPhilips (Germany) · DEPhilips (Netherlands) · NLPhilips (United States) · USThe University of Sydney · AUUniversity of California Davis Medical Center · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI PRIMO N. LARA · 2002 to 2026
$84.9M
UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
NCI NIH HHS K12 CA138464NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

purposeLung functional image guided radiation therapy (RT) that avoids irradiating highly functional regions has potential to reduce pulmonary toxicity following RT. Tumor regression during RT is common, leading to recovery of lung function. We hypothesized that computed tomography (CT) ventilation image-guided treatment planning reduces the functional lung dose compared to standard anatomic image-guided planning in 2 different scenarios with or without plan adaptation. METHODS AND MATERIALS: CT scans were acquired before RT and during RT at 2 time points (16-20 Gy and 30-34 Gy) for 14 patients with locally advanced lung cancer. Ventilation images were calculated by deformable image registration of four-dimensional CT image data sets and image analysis. We created 4 treatment plans at each time point for each patient: functional adapted, anatomic adapted, functional unadapted, and anatomic unadapted plans. Adaptation was performed at 2 time points. Deformable image registration was used for accumulating dose and calculating a composite of dose-weighted ventilation used to quantify the lung accumulated dose-function metrics. The functional plans were compared with the anatomic plans for each scenario separately to investigate the hypothesis at a significance level of 0.05.

resultsTumor volume was significantly reduced by 20% after 16 to 20 Gy (P = .02) and by 32% after 30 to 34 Gy (P < .01) on average. In both scenarios, the lung accumulated dose-function metrics were significantly lower in the functional plans than in the anatomic plans without compromising target volume coverage and adherence to constraints to critical structures. For example, functional planning significantly reduced the functional mean lung dose by 5.0% (P < .01) compared to anatomic planning in the adapted scenario and by 3.6% (P = .03) in the unadapted scenario.

conclusionsThis study demonstrated significant reductions in the accumulated dose to the functional lung with CT ventilation image-guided planning compared to anatomic image-guided planning for patients showing tumor regression and changes in regional ventilation during RT.

Indexed as

AgedAged, 80 and overFemaleHumansLungLung NeoplasmsMaleMiddle AgedProspective StudiesPulmonary VentilationRadiotherapy DosageRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedTumor Burden

Identifiers

PMID29891207
PMCPMC6443402
OpenAlexW2801321057

What OpenQuestion holds

Textmetadata
LicenceTDM
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.