Evidence map›Paper›PMID 24039369›Full record

ArticleWorld journal of gastroenterology2013

Application value of multi-slice spiral computed tomography for imaging determination of metastatic lymph nodes of gastric cancer.

Chun-Lai Dai, Zhi-Gang Yang, Li-Ping Xue, Yu-Mei Li

Abstract read
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Article in World journal of gastroenterology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

19 citing papers in PubMed.

  1. Article
  2. [Scientific reports · 2026
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  15. A Comprehensive Assessment of Accurate Lymph Node Staging and Preoperative Detection in Resected Pancreatic Cancer.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2018
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  16. Article
  17. Article
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  19. Diffusion MRI on lymph node staging of gastric adenocarcinoma.Quantitative imaging in medicine and surgery · 2015
    Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chun-Lai DaiChun-Lai Dai, Zhi-Gang Yang, Department of Radiology, the First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
Zhi-Gang Yang
Li-Ping Xue
Yu-Mei Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the application value of multi-slice spiral computed tomography (MSCT) for imaging determination of metastatic lymph nodes of gastric cancer and to explore reasonable diagnostic criteria.

methodsSixty patients with gastric cancer underwent 64 MSCT scans before operation. Gastric cancer samples and perigastric lymph nodes were obtained after operation, formalin fixation and haematoxylin-eosin staining. The metastatic conditions of gastric cancer and perigastric lymph nodes were determined under a light microscope. A total of 605 lymph nodes were grouped and assessed according to distribution, size, shape and degree of lymph node enhancement. Then, the findings were compared with the postoperative pathological results.

resultsAmong 605 lymph nodes, 358 were confirmed as metastatic, accounting for 59.2%. A total of 535 lymph nodes were detected in original axis images combined with multiplanar reconstruction images of MSCT. The metastatic lymph nodes had specific signs in computed tomography. This study showed that the long diameter of lymph nodes ≥ 8 mm indicated metastasis; the sensitivity and specificity were 79.6% and 78.8%, respectively. The difference of the mean value of lymph node enhancement density ≥ 80 Hu indicated metastasis; the sensitivity and specificity were 81.6% and 75.6%, respectively. The ratio of short diameter to long diameter of lymph nodes ≥ 0.7 indicated metastasis; the sensitivity and specificity were 85.6% and 71.8%, respectively.

conclusionMSCT is a non-invasive and reliable method for preoperative examination of gastric cancer. Sensitivity and specificity for prediction of lymph node metastasis are high.

Indexed as

AdultAgedCarcinomaFemaleHumansLymphatic MetastasisLymph NodesMaleMiddle AgedRetrospective StudiesStomach NeoplasmsTomography, Spiral ComputedGastric cancerMetastatic lymph nodesX-ray computer

Identifiers

PMID24039369
PMCPMC3769913

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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.