Evidence map›Paper›PMID 36847997›Full record

ArticleJournal of veterinary internal medicine2023

Quantitative analysis of magnetic resonance images for characterization of blood-brain barrier dysfunction in dogs with brain tumors.

Erez Hanael, Shelly Baruch, Orit Chai, Liron Lishitsky, Tal Blum, Kira Rapoport, Marco Ruggeri, Zahi Aizenberg, Dana Peery, Nina Meyerhoff and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Agreement and Accuracy of the Dural Tail Sign for Differentiating Canine Meningioma From Glioma on MRI.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
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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

16 authors at 4 institutions in 4 countries.

Erez HanaelThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.ORCID https://orcid.org/0000-0003-1284-895X
Shelly BaruchThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Orit ChaiThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Liron LishitskyThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Tal BlumThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Kira RapoportThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Marco RuggeriThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.ORCID https://orcid.org/0000-0002-0150-8178
Zahi AizenbergThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Dana PeeryThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Nina MeyerhoffSchool of Veterinary Medicine Hannover, Small Animal Medicine and Surgery, Hannover, Germany.
Holger Andreas VolkSchool of Veterinary Medicine Hannover, Small Animal Medicine and Surgery, Hannover, Germany.ORCID https://orcid.org/0000-0002-7312-638X
Steven De DeckerDepartment of Clinical Sciences, Royal Veterinary College, University of London, Hertfordshire, UK.ORCID https://orcid.org/0000-0002-2505-2152
Andrea TipoldSchool of Veterinary Medicine Hannover, Small Animal Medicine and Surgery, Hannover, Germany.ORCID https://orcid.org/0000-0002-9421-942X
Wolfgang BaumgaertnerSchool of Veterinary Medicine Hannover, Small Animal Medicine and Surgery, Hannover, Germany.
Alon FriedmanFaculty of Medicine, Department of Medical Neuroscience Halifax, Dalhousie University, Nova Scotia, Canada.
Merav ShamirThe Koret School of Veterinary Medicine, Neurology and Neurosurgery, Hebrew University of Jerusalem, Reehovot, Israel.
Hebrew University of Jerusalem · ILUniversity of Veterinary Medicine Hannover, Foundation · DEBen-Gurion University of the Negev · ILUniversity of London · GB

Funding

ISF- Israel Science Foundation 717/15
6 · The paper itself

Abstract

backgroundBlood-brain barrier (BBB) permeability can be assessed quantitatively using advanced imaging analysis. HYPOTHESIS/

objectivesQuantification and characterization of blood-brain barrier dysfunction (BBBD) patterns in dogs with brain tumors can provide useful information about tumor biology and assist in distinguishing between gliomas and meningiomas. ANIMALS: Seventy-eight hospitalized dogs with brain tumors and 12 control dogs without brain tumors.

methodsIn a 2-arm study, images from a prospective dynamic contrast-enhanced (DCE; n = 15) and a retrospective archived magnetic resonance imaging study (n = 63) were analyzed by DCE and subtraction enhancement analysis (SEA) to quantify BBB permeability in affected dogs relative to control dogs (n = 6 in each arm). For the SEA method, 2 ranges of postcontrast intensity differences, that is, high (HR) and low (LR), were evaluated as possible representations of 2 classes of BBB leakage. BBB score was calculated for each dog and was associated with clinical characteristics and tumor location and class. Permeability maps were generated, using the slope values (DCE) or intensity difference (SEA) of each voxel, and analyzed.

resultsDistinctive patterns and distributions of BBBD were identified for intra- and extra-axial tumors. At a cutoff of 0.1, LR/HR BBB score ratio yielded a sensitivity of 80% and specificity of 100% in differentiating gliomas from meningiomas. CONCLUSIONS AND CLINICAL IMPORTANCE: Blood-brain barrier dysfunction quantification using advanced imaging analyses has the potential to be used for assessment of brain tumor characteristics and behavior and, particularly, to help differentiating gliomas from meningiomas.

Indexed as

Brain NeoplasmsDog DiseasesGliomaMeningeal NeoplasmsMeningiomaAnimalsBlood-Brain BarrierContrast MediaDogsMagnetic Resonance ImagingProspective StudiesRetrospective StudiesContrast Mediablood-brain barrierCNS disordersepilepsygliomameningiomaneurologystructural epilepsy

Identifiers

PMID36847997
PMCPMC10061168
OpenAlexW4322492489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.