Evidence map›Paper›PMID 26730164›Full record

ArticleWorld journal of gastroenterology2015

Liver metastasis from hepatoid adenocarcinoma of the stomach mimicking hepatocellular carcinoma: Dynamic computed tomography findings.

Yang-Yu Lin, Chien-Ming Chen, Yu-Hsiu Huang, Cheng-Yu Lin, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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 1 institution in 2 countries.

Yang-Yu LinYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Chien-Ming ChenYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Yu-Hsiu HuangYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Cheng-Yu LinYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Sung-Yu ChuYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Ming-Yi HsuYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Kuang-Tse PanYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Jeng-Hwei TsengYang-Yu Lin, Chien-Ming Chen, Sung-Yu Chu, Ming-Yi Hsu, Kuang-Tse Pan, Jeng-Hwei Tseng, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Memorial Hospital of South Bend · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the dynamic computed tomography (CT) findings of liver metastasis from hepatoid adenocarcinoma of the stomach (HAS) and compared them with hepatocellular carcinoma (HCC).

methodsBetween January 2000 and January 2015, 8 patients with pathologically proven HAS and liver metastases were enrolled. Basic tumor status was evaluated for the primary tumor location and metastatic sites. The CT findings of the liver metastases were analyzed for tumor number and size, presence of tumor necrosis, hemorrhage, venous tumor thrombosis, and dynamic enhancing pattern.

resultsThe body and antrum were the most common site for primary HAS (n = 7), and observed metastatic sites included the liver (n = 8), lymph nodes (n = 7), peritoneum (n = 4), and lung (n = 2). Most of the liver metastases exhibited tumor necrosis regardless of tumor size. By contrast, tumor hemorrhage was observed only in liver lesions larger than 5 cm (n = 4). Three patterns of venous tumor thrombosis were identified: direct venous invasion by the primary HAS (n = 1), direct venous invasion by the liver metastases (n = 7), and isolated portal vein tumor thrombosis (n = 2). Dynamic CT revealed arterial hyperattenuation and late phase washout in all the liver metastases.

conclusionOn dynamic CT, liver metastasis from HAS shared many imaging similarities with HCC. For liver nodules, the presence of isolated portal vein tumor thrombosis and a tendency for tumor necrosis are imaging clues that suggest the diagnosis of HAS.

Indexed as

Tomography, X-Ray ComputedAdenocarcinomaAgedCarcinoma, HepatocellularDiagnosis, DifferentialFemaleHumansLiver NeoplasmsMaleMiddle AgedPredictive Value of TestsRetrospective StudiesStomach NeoplasmsComputed tomographyHepatocellular carcinomaHepatoid adenocarcinomaLiverStomach

Identifiers

PMID26730164
PMCPMC4690182
OpenAlexW2223967158

What OpenQuestion holds

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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.