Dynamic contrast enhanced high field magnetic resonance imaging for canine primary intracranial neoplasia

Based on the results of this study cerebral blood flow measurement can be utilised to differentiate canine intracranial meningiomas from other similar appearing intracranial tumours.

Authors

Institutions

Publication Details

Journal
Frontiers in Veterinary Science
Published
2024-10-04
DOI
https://doi.org/10.3389/fvets.2024.1468831
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic contrast enhanced high field magnetic resonance imaging for canine primary intracranial neoplasia

Sam Long, Caterina Brighi, Simon Choi
Frontiers in Veterinary Science
MRI in cancer diagnosis
article

Dynamic contrast enhanced high field magnetic resonance imaging for canine primary intracranial neoplasia

Sam Long, Caterina Brighi, Simon Choi
article en

Abstract

Based on the results of this study cerebral blood flow measurement can be utilised to differentiate canine intracranial meningiomas from other similar appearing intracranial tumours.

Frontiers in Veterinary ScienceVol. 11
The University of Sydney (AU), Dandenong Hospital (AU)
Peace, Justice and strong institutions
Openalex Percentile: Top 71%
MRI in cancer diagnosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dynamic contrast enhanced high field magnetic resonance imaging for canine primary intracranial neoplasia — Sam Long, Caterina Brighi, et al. · Frontiers in Veterinary Science (2024) | TGRS Research Map | TGRS