Evidence map›Paper›PMID 26085859›Full record

ArticleNuclear medicine and molecular imaging2015

Correlation of Primary Tumor FDG Uptake with Histopathologic Features of Advanced Gastric Cancer.

Hae Won Kim, Kyoung Sook Won, Bong-Il Song, Yu Na Kang

Abstract read
In one paragraph

Article in Nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

The trial behind it

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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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Prognostic Value of [Cancers · 2023
    Article
  6. Article
  7. Article
  8. Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
    Article
  9. European journal of nuclear medicine and molecular imaging · 2021
    Article
  10. Establishment of a [Journal of gastric cancer · 2020
    Article
  11. Observational
  12. Article
  13. BMC medical imaging · 2016
    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

4 authors.

Hae Won KimDepartment of Nuclear Medicine, Keimyung University Dongsan Medical Center, 56 Dalseong-ro, Jung-Gu, Daegu Republic of Korea.
Kyoung Sook WonDepartment of Nuclear Medicine, Keimyung University Dongsan Medical Center, 56 Dalseong-ro, Jung-Gu, Daegu Republic of Korea.
Bong-Il SongDepartment of Nuclear Medicine, Keimyung University Dongsan Medical Center, 56 Dalseong-ro, Jung-Gu, Daegu Republic of Korea.
Yu Na KangDepartment of Pathology, Keimyung University Dongsan Medical Center, Jung-Gu, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHistopathologic features could affect the FDG uptake of primary gastric cancer and detection rate on FDG PET/CT. The aim of this study was to evaluate the FDG uptake of primary gastric cancer by correlating it with the histopathologic features of the tumors.

methodsFifty patients with locally advanced gastric adenocarcinoma who were referred for preoperative FDG-PET/CT scans were enrolled in this study. The detection rate of PET/CT and maximum standardized uptake values (SUVmax) of the primary tumor were compared using the WHO, Lauren, Ming and Borrmann classifications and tumor size and location.

resultsIn 45 of the 50 patients (90 %), the primary gastric tumors were detected by FDG PET/CT. On comparison using the WHO classification, the detection rate and SUVmax of the tubular type were significantly higher than those of the poorly cohesive type. On comparison using the Lauren and Ming classifications, the SUVmaxs of the intestinal type and expanding type were significantly higher than those of the diffuse and infiltrative type, respectively. On comparison using the Borrmann classification and tumor size and location, there was no significant difference in the detection rate and SUVmax of primary gastric tumors.

conclusionThis study demonstrates that the poorly cohesive type according to the WHO classification, diffuse type according to the Lauren classification and infiltrative type according to the Ming classification have low FDG uptake in patients with locally advanced gastric carcinoma. Understanding the relationship between primary tumor FDG uptake and histopathologic features would be helpful in detecting the primary tumor by FDG PET/CT in patients with gastric cancer.

Indexed as

FDGGastric carcinomaLauren classificationMing classificationPET/CTWHO classification

Identifiers

PMID26085859
PMCPMC4463880

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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.