Evidence map›Paper›PMID 30864652›Full record

ArticleJournal of radiation research2019

Impact of hybrid FDG-PET/CT on gross tumor volume definition of cervical esophageal cancer: reducing interobserver variation.

Ryo Toya, Tomohiko Matsuyama, Tetsuo Saito, Masanori Imuta, Shinya Shiraishi, Yoshiyuki Fukugawa, Ayumi Iyama, Takahiro Watakabe, Fumi Sakamoto, Noriko Tsuda and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of radiation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

15 authors at 2 institutions in 1 country.

Ryo ToyaDepartment of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Tomohiko MatsuyamaDepartment of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Tetsuo SaitoDepartment of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Masanori ImutaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Shinya ShiraishiDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yoshiyuki FukugawaDepartment of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Ayumi IyamaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Takahiro WatakabeDepartment of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Fumi SakamotoDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Noriko TsudaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yoshinobu ShimohigashiDepartment of Radiological Technology, Kumamoto University Hospital, Kumamoto, Japan.
Yudai KaiDepartment of Radiological Technology, Kumamoto University Hospital, Kumamoto, Japan.
Ryuji MurakamiDepartment of Medical Imaging, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yasuyuki YamashitaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Natsuo OyaDepartment of Radiation Oncology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Kumamoto University · JPKumamoto University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensity-modulated radiation therapy is being increasingly used to treat cervical esophageal cancer (CEC); however, delineating the gross tumor volume (GTV) accurately is essential for its successful treatment. The use of computed tomography (CT) images to determine the GTV produces a large degree of interobserver variation. In this study, we evaluated whether the use of [18F]-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET)/CT fused images reduced interobserver variation, compared with CT images alone, to determine the GTV in patients with CEC. FDG-PET/CT scans were obtained for 10 patients with CEC, imaged positioned on a flat tabletop with a pillow. Five radiation oncologists independently defined the GTV for the primary tumors using routine clinical data; they contoured the GTV based on CT images (GTVCT), followed by contouring based on FDG-PET/CT fused images (GTVPET/CT). To determine the geometric observer variation, we calculated the conformality index (CI) from the ratio of the intersection of the GTVs to their union. The interobserver CI was compared using Wilcoxon's signed rank test. The mean (±SD) interobserver CIs of GTVCT and GTVPET/CT were 0.39 ± 0.15 and 0.58 ± 0.10, respectively (P = 0.005). Our results suggested that FDG-PET/CT images reduced interobserver variation when determining the GTV in patients with CEC. FDG-PET/CT may increase the consistency of the radiographically determined GTV in patients with CEC.

Indexed as

Positron Emission Tomography Computed TomographyTumor BurdenAgedEsophageal NeoplasmsFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedObserver VariationFluorodeoxyglucose F18esophageal cancergross tumor volumeintensity-modulated radiation therapypositron emission tomographyradiation therapyradiotherapy planning

Identifiers

PMID30864652
PMCPMC6530614
OpenAlexW2921880308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.