Evidence map›Paper›PMID 32488293›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2021

Evaluation of automatic VMAT plans in locally advanced nasopharyngeal carcinoma.

Quanbin Zhang, Liya Ou, Yingying Peng, Hui Yu, Linjing Wang, Shuxu Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2021. 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
2.1field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022
    Article
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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

6 authors at 2 institutions in 1 country.

Quanbin ZhangRadiotherapy center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Liya OuGuangzhou Medical University, Guangzhou, China. 644170008@qq.com.
Yingying PengRadiotherapy center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Hui YuRadiotherapy center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Linjing WangRadiotherapy center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Shuxu ZhangRadiotherapy center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China. gthzsx@163.com.ORCID http://orcid.org/0000-0001-9416-0782
Guangzhou Medical University · CNGuangzhou Medical University Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the quality of locally advanced nasopharyngeal carcinoma (NPC) radiotherapy plans generated by the automated planning module of a commercial treatment planning system (TPS).

methodsData of 30 patients with locally advanced NPC were retrospectively investigated. For each patient, volumetric modulated arc therapy (VMAT) plans with double arcs were generated manually by experienced physicists and automatically in the Pinnacle

resultsNot all treatment plans fully met the dose objectives for planning target volumes (PTVs) and OARs, particularly in T4 patients. Overall, automatic VMAT provides a comparable or superior plan quality to manual VMAT in most cases. In stratified analysis, plan quality is mainly independent on T category but is also affected by anatomic distance. If the anatomic distance is less than 5 mm, the automatic VMAT plan quality is equal or even inferior to manual VMAT performed by experienced physicists. Conversely, if the anatomic distance is greater than 5 mm, the automatic VMAT plan quality is superior to manual VMAT. Gamma pass rates for quality assurance are similar between manual and automatic VMAT plans for the former case, but significantly higher in automatic VMAT for the latter.

conclusionThe selection of manual versus automatic VMAT planning in locally advanced NPC should be made individually based on the anatomic distance, rather than blindly and habitually, since automatic VMAT is not good enough to completely replace manual VMAT.

Indexed as

AdultAgedFemaleHumansMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRetrospective StudiesNasopharyngeal carcinomaOrgans at riskQuality of lifeRadiotherapy, intensity modulatedRadiotherapy planning, computer-assisted

Identifiers

PMID32488293
OpenAlexW3032150387

What OpenQuestion holds

Textmetadata
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.