Evidence map›Paper›PMID 40005949›Full record

ArticleVeterinary sciences2025

Comparison of Medical Imaging Quality Related to Embalming Solutions in Canine Cadavers.

Ahsa Oh, Sung-Min Nam, Sang-Soep Nahm, Ki-Dong Eom, Woosuk Kim

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. 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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0citing papers in PubMed
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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

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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

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

5 authors.

Ahsa OhDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05030, Republic of Korea.
Sung-Min NamDepartment of Anatomy, School of Medicine and Jesaeng-Euise Clinical Anatomy Center, Wonkwang University, Iksan 54538, Republic of Korea.
Sang-Soep NahmDepartment of Anatomy, College of Veterinary Medicine, Konkuk University, 120 Neuugdonr-ro, Gwangjin-gu, Seoul 05030, Republic of Korea.
Ki-Dong EomDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05030, Republic of Korea.
Woosuk KimDepartment of Anatomy, College of Veterinary Medicine, Konkuk University, 120 Neuugdonr-ro, Gwangjin-gu, Seoul 05030, Republic of Korea.ORCID 0000-0003-4752-2810

Funding

Basic Science Research Program through the National Research Foundation of Korea No. 2018R1D1A2B07046105
6 · The paper itself

Abstract

(1) Background: This study evaluated the quality of medical imaging acquired using radiography, ultrasonography, and computed tomography (CT) in canine cadavers prepared with formalin solution, Thiel solution (TS), and saturated salt solution (SS). Additionally, the duration whereby image quality could be properly reproduced was investigated. (2) Methods: Nine dog cadavers, divided into three groups per embalming solution, were imaged pre- and post-embalming at 6 and 12 weeks using three different imaging modalities. Image quality was qualitatively scored based on human medicine guidelines criteria. The score was assigned as follows: "0 = not invisible, 1 = poorly invisible, 2 = adequately reproduced, 3 = very well reproduced". (3) Results: On plain radiography, most scores were > 1.34, although the quality of all embalming solutions in thoracic and abdominal images decreased over time. Using ultrasound to image the liver, spleen, and kidney, the SS group was evaluated as poorly visible and scored < 0.82 at 6 and 12 weeks. CT images showed a tendency to degrade over time, but all solution groups had properly implemented images and scored > 1.62. (4) Conclusions: Regarding image quality and ease of application, TS is considered the most suitable embalming solution for medical imaging acquisition and is usable over time in all imaging modalities.

Indexed as

canine cadaverformalin solutionmedical imaging qualitysaturated salt solutionThiel solution

Identifiers

PMID40005949
PMCPMC11860766

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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.