Evidence map›Paper›PMID 29416607›Full record

ArticleOncotarget2018

A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer.

Seong-Hee Kang, Siyong Kim, Dong-Su Kim, Tae-Ho Kim, So-Hyun Park, Dong-Seok Shin, Kyeong-Hyeon Kim, Min-Seok Cho, YeonSil Kim, Tae Suk Suh

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Seong-Hee KangDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.
Siyong KimDepartment of Radiation Oncology, Virginia Commonwealth University, Virginia, USA.
Dong-Su KimDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.
Tae-Ho KimDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.
So-Hyun ParkDepartment of Radiation Oncology, College of Medicine, Yonsei University, Seoul, South Korea.
Dong-Seok ShinDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.
Kyeong-Hyeon KimDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.
Min-Seok ChoDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.
YeonSil KimDepartment of Radiation Oncology, The Catholic University of Korea, Seoul, South Korea.
Tae Suk SuhDepartment of Biomedical Engineering and Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo propose an effective and simple cost value function to determine an optimal respiratory phase for lung treatment using either respiratory gating or breath-hold technique.

resultsThe optimized phase was obtained at a phase close to end inhalation in 11 out of 15 patients. For the rest of patients, the optimized phase was obtained at a phase close to end exhalation indicating that optimal phase can be patient specific. The mean doses of the Organs-at-risk (OARs) significantly decreased at the optimized phase without compromising the planning target volume (PTV) coverage (about 8% for all 3 OARs considered). MATERIALS AND

methodsFifteen lung patients were included for the feasibility test of the cost function. For all patients and all phases, delineation of the target volume and selected OARs such as esophagus, heart, and spinal cord was performed, and then cost values were calculated for all phases. After the breathing phases were ranked according to the cost values obtained, the relationship between score and dose distribution was evaluated by comparing dose volume histogram (DVH).

conclusionsThe proposed cost value function can play an important role in choosing an optimal phase with minimal effort, that is, without actual plan optimization at all phases.

Indexed as

breath-holdlung canceroverlap volume histogramrespiratory gated radiotherapyrespiratory phase optimization

Identifiers

PMID29416607
PMCPMC5787457

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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.