Evidence map›Paper›PMID 41566558›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

The significance of small lymph nodes on CT for advanced poorly cohesive gastric carcinoma.

Gyeongme Cho, Jae Yong Park, Eun Sun Lee, Hyun Ho Shin, Hyun-Wook Park, Hyun Jeong Park, Hee Sung Kim, Jong Won Kim, Beom Jin Kim, Jae Gyu Kim

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gyeongme Cho *Department of Radiology, Chung-Ang University College of Medicine, Seoul, South Korea.
Jae Yong Park *Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, South Korea.
Eun Sun LeeDepartment of Radiology, Chung-Ang University College of Medicine, Seoul, South Korea. seraph377@gmail.com.
Hyun Ho ShinDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, South Korea.
Hyun-Wook ParkDepartment of Preventive Medicine, Chung-Ang University College of Medicine, Seoul, South Korea.
Hyun Jeong ParkDepartment of Radiology, Chung-Ang University College of Medicine, Seoul, South Korea.
Hee Sung KimDepartment of Pathology, Chung-Ang University College of Medicine, Seoul, South Korea.
Jong Won KimDepartment of Surgery, Chung-Ang University College of Medicine, Seoul, South Korea.
Beom Jin KimDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, South Korea.
Jae Gyu KimDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to assess the size of metastatic lymph nodes (LNs) in advanced poorly cohesive gastric carcinoma (PC-GC) on pre-operative CT and to evaluate potential differences based on histological types.

methodsWe included advanced gastric cancer patients who underwent surgery at Chung-Ang University Hospital from February 2018 to May 2023. Two abdominal radiologists, in consensus, reviewed abdominal CT scans to evaluate the presence of gastric cancer and the largest size of visible LNs at each gastric LN station on CT scans. Measurable LNs were correlated with the full pathology report from electronic database records to determine the metastatic status. We used the independent t-test to evaluate the size difference of metastatic LNs across different histologic types.

resultsWe evaluated a total of 136 patients (mean age, 67.25 ± 11.97; 91 males) with advanced gastric cancers. Among them, PC-GC was found in 26 patients (19.1%). Out of 427 measurable LNs, 216 were identified as malignant based on the pathology report. metastatic LNs in PC-GC were significantly smaller than metastatic LNs in other types of gastric cancer (p < 0.001, mean ± standard deviation, 6.226 ± 2.538 mm vs. 8.825 ± 5.598 mm). The best cut-off size of the metastatic LNs was 6 mm in PC-GC, as compared with 8 mm in other types of gastric cancers.

conclusionsThe size of metastatic LNs in advanced PC-GCs is significantly smaller than metastatic LNs in other types of gastric cancer. Therefore, lowering the size threshold to 6 mm could enhance pre-operative CT evaluation of metastatic LNs in PC-GC.

Indexed as

Lymphatic MetastasisLymph NodesStomach NeoplasmsTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesGastric cancerLymph nodesMetastasisMultidetector computed tomography

Identifiers

PMID41566558
PMCPMC12905975

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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.