Evidence map›Paper›PMID 40470279›Full record

ArticleFrontiers in veterinary science2025

Time-resolved imaging of contrast kinetics magnetic resonance angiography for the assessment of vascular characteristics in intracranial and extracranial tumors in veterinary patients.

Sunghwa Hong, Soyeon Kim, Junghee Yoon, Jihye Choi

Abstract read
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Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Sunghwa HongDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Soyeon KimDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Junghee YoonDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Jihye ChoiDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to compare the imaging characteristics and diagnostic utility of Time-Resolved Imaging of Contrast Kinetics (TRICKS) Magnetic Resonance Angiography (MRA) and Computed Tomography Angiography (CTA) for assessing intracranial and extracranial vascular structures in veterinary patients. Methods: This retrospective methods comparison study included nine client-owned dogs and one cat with head and neck tumors, all of which underwent both CTA and TRICKS MRA. A qualitative assessment of major intracranial and extracranial vessels, as well as tumorassociated vessels-including feeding and draining vessels-was performed. In addition, the signal intensity (SI) of the vessels was quantitatively measured. Results: Both imaging techniques provided similar SI measurements, although CTA demonstrated significantly higher SI in the basilar artery. CTA also offered higher visibility and clearer delineation of certain arteries and veins, with a significantly shorter acquisition time. However, TRICKS MRA demonstrated comparable or superior performance in visualizing venous structures and effectively identified tumor-related vessels, showing similar diagnostic performance to CTA in detecting feeding and draining vessels. Additionally, TRICKS exhibited a distinct advantage in differentiating vessels from surrounding bone, effectively reducing bone-related artifacts that can interfere with vascular delineation in CTA. Discussion: TRICKS MRA is a valuable imaging modality for vascular assessment, particularly for evaluating venous structures and tumor-associated circulation. While CTA remains superior for arterial imaging due to its higher spatial resolution and shorter scan time, TRICKS MRA enables dynamic vascular assessment with reduced dependency on contrast injection timing. These findings suggest that TRICKS MRA could serve as a complementary imaging modality in veterinary neuro-oncology, especially for surgical and radiation therapy planning.

Indexed as

angiographyCATcomputed tomographydogMRI

Identifiers

PMID40470279
PMCPMC12135079

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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.