Evidence map›Paper›PMID 39730522›Full record

ArticleScientific reports2024

Dosimetric comparison of VMAT plans in preoperative short-course rectal radiotherapy.

Qiong Zhou, Qi Wang, Yongwu Li, Chong Shen, Xiaonan Sun

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2024. 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

5 authors.

Qiong ZhouSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Qi WangSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Yongwu LiSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Chong ShenSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Xiaonan SunSir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China. sunxiaonan@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, neoadjuvant short-course radiation therapy (SCRT) has emerged as a valid treatment option for patients with locally advanced rectal cancer (LARC). We assessed SCRT plans using volumetric-modulated arc therapy (VMAT) with Halcyon and Infinity medical linear accelerators (Linacs) and compared the plan quality and delivery efficiency across all cases. Thirty patients who underwent preoperative SCRT for LARC at the hospital were randomly selected. Treatment plans were designed using the Halcyon and Infinity linac platforms, generating Halcyon VMAT plans (Group H) and Infinity VMAT plans (Group I). The target coverage, organ at risk (OAR) dose distribution, number of monitor units, treatment delivery time, and planning complexity of the two groups were compared and analyzed. Plan quality assurance was performed on the ArcCheck phantom. The overall plan quality regarding target volume and OARs was comparable for plans delivered on Halcyon and Infinity Agility machines, with each platform having advantages. Therefore, both radiotherapy platforms are very good options when selecting which technique to use in the clinic.

Indexed as

Radiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRectal NeoplasmsAgedFemaleHumansMaleMiddle AgedNeoadjuvant TherapyOrgans at RiskRadiometryDosimetryPlan qualityRectal cancerShort-course radiotherapy (SCRT)Volumetric modulated arc therapy (VMAT)

Identifiers

PMID39730522
PMCPMC11680786

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.