Evidence map›Paper›PMID 28386823›Full record

ArticleJapanese journal of radiology2017

Modifying the planning target volume to optimize the dose distribution in dynamic conformal arc therapy for large metastatic brain tumors.

Kengo Ogura, Yasuhiro Kosaka, Toshiyuki Imagumbai, Kazuhito Ueki, Ryo Narukami, Takayuki Hattori, Masaki Kokubo

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Article in Japanese journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kengo OguraDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan. oguken@kuhp.kyoto-u.ac.jp.
Yasuhiro KosakaDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan.
Toshiyuki ImagumbaiDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan.
Kazuhito UekiDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan.
Ryo NarukamiDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan.
Takayuki HattoriDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan.
Masaki KokuboDepartment of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi Chuo-ku, Kobe, 6500047, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhen treating large metastatic brain tumors with stereotactic radiotherapy (SRT), high dose conformity to target is difficult to achieve. Employing a modified planning target volume (mPTV) instead of the original PTV may be one way to improve the dose distribution in linear accelerator-based SRT using a dynamic conformal technique. In this study, we quantitatively analyzed the impact of a mPTV on dose distribution. MATERIALS AND

methodsTwenty-four tumors with a maximum diameter of >2 cm were collected. For each tumor, two plans were created: one used a mPTV and the other did not. The mPTV was produced by shrinking or enlarging the original PTV according to the dose distribution in the original plan. The dose conformity was evaluated and compared between the plans using a two-sided paired t test.

resultsThe conformity index defined by the Radiation Therapy Oncology Group was 1.34 ± 0.10 and 1.41 ± 0.13, and Paddick's conformity index was 0.75 ± 0.05 and 0.71 ± 0.06, for the plans with and without a mPTV, respectively. All of these improvements were statistically significant (P < 0.05).

conclusionThe use of a mPTV can improve target conformity when planning SRT for large metastatic brain tumors.

Indexed as

Brain NeoplasmsHumansMagnetic Resonance ImagingNeoplasm MetastasisRadiotherapy, ConformalRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedDynamic conformal arc radiotherapyMetastatic brain tumorsModified planning target volume (mPTV)Stereotactic radiotherapy (SRT)

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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.