Evidence map›Paper›PMID 42182907›Full record

ArticleFrontiers in veterinary science2026

Case Report: Preliminary evaluation of time-resolved imaging of contrast kinetics magnetic resonance imaging for assessing temporal enhancement patterns in small animal head and neck tumors.

Sunghwa Hong, Soyeon Kim, Eunji Kim, Junghee Yoon, Jihye Choi

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Article in Frontiers in veterinary science, 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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0citing papers in PubMed
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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 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.
Eunji 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

Time-resolved magnetic resonance angiography provides dynamic information on contrast passage reflecting tumor vascularity and enhancement kinetics. Time-Resolved Imaging of Contrast KineticS (TRICKS) is established in veterinary medicine for vascular mapping; however, its specific utility for evaluating intratumoral enhancement heterogeneity and treatment response has not been described. This case series aimed to evaluate the feasibility of TRICKS for assessing temporal enhancement patterns and semi-quantitative temporal indices in small animal head and neck tumors undergoing radiation therapy. Three client-owned animals (two dogs with intracranial meningiomas and one cat with ceruminous gland adenocarcinoma) underwent MRI including TRICKS, as well as triple-phase computed tomography, for diagnostic evaluation, radiation therapy planning, or post-treatment follow-up. Across all cases, TRICKS provided temporally resolved enhancement information that was not appreciable on conventional contrast-enhanced T1-weighted MRI or triple-phase CT. TRICKS delineated delayed peripheral filling, inward-progressive enhancement, and intratumoral temporal heterogeneity, enabling clearer differentiation of rapidly enhancing regions from delayed or suspected non-enhancing components. Semi-quantitative parameters (enhancement integral, mean time to enhance, maximum slope of increase, and mean slope of decrease) demonstrated regional differences consistent with these enhancement patterns. In two cases, TRICKS identified post-radiation changes and delineated non-enhancing parenchymal defects chronologically prior to their clear appearance on other modalities. These exploratory findings suggests TRICKS can provide time-resolved enhancement surrogates in veterinary patient tumors, contributing to improved characterization of tumor compartmentalization and post-treatment evaluation. However, this serves as a preliminary technical feasibility report, and further studies with larger cohorts and histopathological validation are warranted to validate these observations.

Indexed as

caninecase reportfelineradiation therapytime resolved MRAtricks

Identifiers

PMID42182907
PMCPMC13189805

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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.