Evidence map›Paper›PMID 30012039›Full record

ArticleTechnology in cancer research & treatment2018

Variability of Gross Tumor Volume Delineation for Stereotactic Body Radiotherapy of the Lung With Tri-

Chan Woo Wee, Hyun Joon An, Hyun-Cheol Kang, Hak Jae Kim, Hong-Gyun Wu

Abstract read
In one paragraph

Article in Technology in cancer research & treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. [Advances in magnetic resonance imaging guided radiation therapy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
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.

Chan Woo Wee1 Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea, Republic of Korea.ORCID 0000-0002-0631-7549
Hyun Joon An1 Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea, Republic of Korea.
Hyun-Cheol Kang1 Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea, Republic of Korea.
Hak Jae Kim1 Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea, Republic of Korea.
Hong-Gyun Wu1 Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo evaluate the intra-/interobserver variability of gross target volumes between delineation based on magnetic resonance imaging and computed tomography in patients simulated for stereotactic body radiotherapy for primary lung cancer and lung metastasis. MATERIALS AND

methodsTwenty-five patients (27 lesions) who underwent computed tomography and magnetic resonance simulation with the MR-

resultsNo significant volumetric difference was observed between all 4 comparisons (GTV

conclusionNo significant differences in volumes between magnetic resonance- and computed tomograpghy-based Gross target volumes were found among 2 ROs. Magnetic resonance-based GTV delineation for lung stereotactic body radiotherapy also demonstrated acceptable interobserver agreement. Tumors >5 cm

Indexed as

RadiosurgeryRadiotherapy, Image-GuidedCobalt RadioisotopesFemaleHumansLungLung NeoplasmsMagnetic Resonance ImagingMaleRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedTumor BurdenCobalt-60Cobalt Radioisotopesgross tumor volumeimage-guided radiotherapylungmagnetic resonance imagingstereotactic ablative body radiotherapystereotactic body radiotherapyViewRay

Identifiers

PMID30012039
PMCPMC6050807

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Registered trials

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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.