Evidence map›Paper›PMID 29101643›Full record

ArticleJapanese journal of radiology2018

Dosimetric comparison of 3-dimensional conformal radiotherapy, volumetric modulated arc therapy, and helical tomotherapy for postoperative gastric cancer patients.

Cem Onal, Yemliha Dölek, Berna Akkuş Yıldırım

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Japanese journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Cem OnalDepartment of Radiation Oncology, Adana Dr Turgut Noyan Research and Treatment Centre, Baskent University Faculty of Medicine, 01120, Adana, Turkey. hcemonal@hotmail.com.ORCID http://orcid.org/0000-0002-2742-9021
Yemliha DölekDepartment of Radiation Oncology, Adana Dr Turgut Noyan Research and Treatment Centre, Baskent University Faculty of Medicine, 01120, Adana, Turkey.
Berna Akkuş YıldırımDepartment of Radiation Oncology, Adana Dr Turgut Noyan Research and Treatment Centre, Baskent University Faculty of Medicine, 01120, Adana, Turkey.
Başkent University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare dosimetric data for the planning target volume (PTV) and organs at risk (OARs) between 3-dimensional conformal radiotherapy (3DCRT), volumetric modulated arc therapy (VMAT), and helical tomotherapy [1]. MATERIALS AND

methodsThe dosimetric data for 15 gastric cancer patients treated with 3DCRT, VMAT, or HT techniques were used. Cumulative dosimetric parameters, homogeneity index (HI), and conformal index (CI) were compared for the PTV and OARs.

resultsThe average maximum doses of PTV were significantly higher in VMAT plans than in 3DCRT (p = 0.04) and HT (p = 0.02) plans, whereas minimum dose values were significantly lower in 3DCRT plans compared with VMAT (p < 0.001) and HT (p = 0.02) plans. Liver mean dose (D

conclusionsThe HT plans reduced the maximum dose applied to the target and improved the conformality and homogeneity of radiation, while providing sufficient PTV coverage.

Indexed as

AdultAgedFemaleHumansMaleMiddle AgedOrgans at RiskPostoperative PeriodRadiometryRadiotherapy, ConformalRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedStomach NeoplasmsDosimetryGastric cancerHelical tomotherapyVolumetric arc therapy

Identifiers

PMID29101643
OpenAlexW2766574104

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.