Evidence map›Paper›PMID 31845998›Full record

ArticleJournal of radiation research2020

Questionnaire survey on treatment planning techniques for lung stereotactic body radiotherapy in Japan.

Yoshihiro Ueda, Toru Takakura, Seiichi Ota, Satoshi Kito, Koji Sasaki, Hidetoshi Shimizu, Daisaku Tatsumi, Shinsuke Yano, Mitsuhiro Nakamura

Open access · goldAbstract read
In one paragraph

Article in Journal of radiation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 7 institutions in 1 country.

Yoshihiro UedaDepartment of Radiation Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka-shi, Osaka 541-8567, Japan.
Toru TakakuraDepartment of Radiation Therapy, Uji-Tokushukai Medical Center, 145 Ishibashi, Makishima-cho, Uji-shi, Kyoto 611-0041, Japan.
Seiichi OtaDivision of Radiological Technology, Department of Medical Technology, University Hospital, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi, Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan.
Satoshi KitoDepartment of Radiation Oncology, Tokyo Metropolitan Cancer and Infectious Disease Center Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-ku, Tokyo 113-8677, Japan.
Koji SasakiDepartment of Radiation Therapy Education and Research, Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamiokimachi, Maebashi-shi, Gunma 371-0052, Japan.
Hidetoshi ShimizuDepartment of Radiation Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-Ku, Nagoya, Aichi 464-8681, Japan.
Daisaku TatsumiMiyakojima IGRT Clinic, 1-16-22, Miyakojimahondori, Miyakojima-ku, Osaka 534-0021, Japan.
Shinsuke YanoDivision of Clinical Radiology Service, Kyoto University Hospital, 54 Shogoin-Kawaharacho, Sakyo-ku, Kyoto 606-8507, Japan.
Mitsuhiro NakamuraDivision of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo-ku, Kyoto 606-8507, Japan.
Aichi Cancer Center · JPGunma Prefectural College of Health Sciences · JPKyoto Prefectural University of Medicine · JPKyoto University · JPKyoto University Hospital · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JPTokyo Metropolitan Komagome Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to obtain details regarding treatment planning techniques for lung stereotactic body radiation therapy (SBRT) employed at each institution in Japan by using a questionnaire survey. An Internet questionnaire survey on SBRT procedures performed in 2016 was conducted by the QA/QC committee of the Japan Society of Medical Physics from April to June 2017. The questionnaire assessed two aspects: the environment for SBRT at each institution and the treatment planning techniques with and without respiratory motion management techniques (RMMT). Of the 309 evaluated responses, 218 institutions had performed SBRT. A total of 186 institutions performed SBRT without RMMT and 139 institutions performed SBRT with RMMT. When respiratory motion was ≥10 mm, 69 institutions applied RMMT. The leading RMMT were breath holding (77 institutions), respiratory gating (49 institutions) and real-time tumor tracking (11 institutions). The most frequently used irradiation technique was 3D conformal radiotherapy, which was used in 145 institutions without RMMT and 119 institutions with RMMT. Computed tomography (CT) images acquired under free breathing were mostly used for dose calculation for patients treated without RMMT. The usage ratio of IMRT/VMAT to SBRT is low in Japan, compared to elsewhere in the world (<20% vs ≥70%). Among the available dose calculation algorithms, superposition convolution was the most frequently used regardless of RMMT; however, 2% of institutions have not yet made heterogeneity corrections. In the prescription setting, about half of the institutions applied point prescriptions. The survey results revealed the most frequently used conditions, which may facilitate standardization of treatment techniques in lung SBRT.

Indexed as

RadiosurgeryRadiotherapy Planning, Computer-AssistedSurveys and QuestionnairesAlgorithmsDose-Response Relationship, RadiationHumansJapanLung NeoplasmsPhotonsRadiotherapy, Intensity-Modulatedquestionnaire surveySBRTstandardizationtreatment planning

Identifiers

PMID31845998
PMCPMC6977596
OpenAlexW2996006404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.