Evidence map›Paper›PMID 27564108›Full record

ArticleOncotarget2016

Prognostic value of metabolic parameters on preoperative 18F-fluorodeoxyglucose positron emission tomography/ computed tomography in patients with stage III gastric cancer.

Sae Jung Na, Joo Hyun o, Jae Myung Park, Han Hee Lee, Sung Hak Lee, Kyo Young Song, Myung-Gyu Choi, Cho Hyun Park

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. 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
2.6field-weighted citation impact, top 11% 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, 24 citations in OpenAlex.

  1. The Prognostic Significance of Preoperative StagingMolecular imaging and radionuclide therapy · 2026
    Article
  2. Article
  3. Predictive Value of Preoperative [International journal of general medicine · 2025
    Article
  4. Predictive value ofJournal of cancer research and clinical oncology · 2023
    Article
  5. Intra-tumor metabolic heterogeneity of gastric cancer onClinical and experimental medicine · 2021
    Article
  6. 2-[European journal of nuclear medicine and molecular imaging · 2021
    Article
  7. Article
  8. Volumetric parameters onBMC cancer · 2019
    Article
  9. Metabolic tumor burden on postsurgical PET/CT predicts survival of patients with gastric cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019
    Article
  10. Imaging peritoneal metastasis of gastric cancer withThe British journal of radiology · 2018
    Article
  11. Radiomic signature ofTheranostics · 2018
    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

8 authors at 3 institutions in 1 country.

Sae Jung NaDepartment of Radiology, The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Seoul, Korea.
Joo Hyun oDepartment of Radiology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Jae Myung ParkDepartment of Internal Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Han Hee LeeDepartment of Radiology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Sung Hak LeeDepartment of Hospital Pathology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Kyo Young SongDepartment of Surgery, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Myung-Gyu ChoiDepartment of Radiology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Cho Hyun ParkDepartment of Surgery, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
The Catholic University of Korea Seoul St. Mary's Hospital · KRCatholic University of Korea · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the prognostic value of metabolic parameters determined by 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with stage III gastric cancer. Patients with pre-operative PET/CT and confirmed stage III after curative surgical resection were retrospectively enrolled. Parameters evaluated from pre-operative PET/CTwere maximum standardized uptake value (SUVmax) and peak SUV (SUVpeak) of primary tumor, SUVmax or SUVpeak of tumor to liver ratio (TLRmax and TLRpeak). Volumetric parameters, metabolic tumor volume (MTV) and total lesion glycolysis (TLG), were also evaluated. These PET/CT parameters were compared with the overall survival (OS) and recurrence-free survival (RFS). From total of 133 consecutive patients, tumor recurrence was found in 54 patients (40.6%) and 53 died during the follow-up period (median, 43 mo; range 5-62). In univariate analysis, SUVmax, SUVpeak, TLRmax and TLRpeak were significantly associated with the OS and RFS. In multivariate analysis, high TLRmax and TLRpeak were significantly unfavorable prognostic factors for RFS (both P<0.05) even after adjusting for age, depth of tumor invasion, lymph node metastasis, and chemotherapy. MTV and TLG showed no statistically significant correlation with outcome. In conclusion, glucose metabolism of primary tumor measured by pre-operative PET/CT provides prognostic information, especially for recurrence, in stage III gastric cancer.

Indexed as

Positron Emission Tomography Computed TomographyAdultAgedDisease-Free SurvivalFemaleFluorodeoxyglucose F18Follow-Up StudiesGlycolysisHumansLiverLymphatic MetastasisMaleMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalPrognosisFluorodeoxyglucose F18Radiopharmaceuticalsgastric cancerpositron emission tomographyprognosistumor metabolism

Identifiers

PMID27564108
PMCPMC5325418
OpenAlexW2511976595

What OpenQuestion holds

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LicenceCC BY
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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.