Evidence map›Paper›PMID 40670116›Full record

ArticleThe Journal of veterinary medical science2025

Pre-contrast hyperattenuating metastatic lymph node on computed tomography due to iodide accumulation in a dog with thyroid carcinoma.

Sang-Kwon Lee, Su-Min Baek, Jin-Kyu Park, Jinsu Kang, Min Jang, Kija Lee

Abstract readCase Reports
In one paragraph

Article in The Journal of veterinary medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sang-Kwon LeeDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.
Su-Min BaekDepartment of Veterinary Pathology, College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.
Jin-Kyu ParkDepartment of Veterinary Pathology, College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.
Jinsu KangDepartment of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.
Min JangDepartment of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.
Kija LeeDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Kyungpook National University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An 11-year-old Bichon Frise presented with a right cervical mass. Computed tomography revealed a thyroid mass without significant lymphadenopathy; however, the caudal portion of the ipsilateral retropharyngeal lymph node exhibited marked hyperattenuation on pre-contrast images. Histopathology of this lymph node confirmed the presence of metastasis from thyroid adenocarcinoma. The caudal portion of the lymph node displayed dense tumor cells with abundant sodium/iodide symporter-positive cells. The observed hyperattenuation of the lymph node was presumed to result from iodide deposition associated with the metastasis of the thyroid tumor. This case suggests that even in the absence of lymph node enlargement, hyperattenuating lymph nodes should raise suspicion for metastasis in dogs with thyroid tumors. However, as this is a single case, further studies are needed to determine the broader applicability of this finding.

Indexed as

AdenocarcinomaDog DiseasesIodidesLymphatic MetastasisThyroid NeoplasmsAnimalsDogsLymph NodesTomography, X-Ray ComputedIodidescaninecomputed tomographyHounsfield unitlymphadenopathysodium/iodide symporter

Identifiers

PMID40670116
PMCPMC12417726

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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.