Evidence map›Paper›PMID 24219161›Full record

ReviewVeterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association

Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patients.

John H Rossmeisl, Paulo A Garcia, Gregory B Daniel, John Daniel Bourland, Waldemar Debinski, Nikolaos Dervisis, Shawna Klahn

Abstract readReview
In one paragraph

Review in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evaluation ofFrontiers in veterinary science · 2023
    Article
  7. Intracranial Virotherapy for a Canine Hemangioma.International journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Companion animal models of neurological disease.Journal of neuroscience methods · 2020
    Review
  12. Review
  13. Consensus recommendations on standardized magnetic resonance imaging protocols for multicenter canine brain tumor clinical trials.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2018
    Article
  14. Review
  15. Article
  16. Article
  17. Optic nerve astrocytoma in a dog.Clinical case reports · 2016
    Article
  18. Review
  19. Article
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

7 authors.

John H RossmeislDepartment of Small Animal Clinical Sciences, Virginia-Maryland Regional College of Veterinary Medicine, VA, 24061; Biomechanical Systems and Veterinary and Comparative Neuro-oncology Laboratories, Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, VA, 24061.
Paulo A Garcia
Gregory B Daniel
John Daniel Bourland
Waldemar Debinski
Nikolaos Dervisis
Shawna Klahn

Funding

Molecular Combinatorial Therapy of Glioblastoma MultiformeR01CA139099 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEBINSKI, WALDEMAR · 2010 to 2014
$1.5M
NCI NIH HHS 1R01 CA139099NCI NIH HHS R01 CA139099
6 · The paper itself

Abstract

The evaluation of therapeutic response using cross-sectional imaging techniques, particularly gadolinium-enhanced MRI, is an integral part of the clinical management of brain tumors in veterinary patients. Spontaneous canine brain tumors are increasingly recognized and utilized as a translational model for the study of human brain tumors. However, no standardized neuroimaging response assessment criteria have been formulated for use in veterinary clinical trials. Previous studies have found that the pathophysiologic features inherent to brain tumors and the surrounding brain complicate the use of the response evaluation criteria in solid tumors (RECIST) assessment system. Objectives of this review are to describe strengths and limitations of published imaging-based brain tumor response criteria and propose a system for use in veterinary patients. The widely used human Macdonald and response assessment in neuro-oncology (RANO) criteria are reviewed and described as to how they can be applied to veterinary brain tumors. Discussion points will include current challenges associated with the interpretation of brain tumor therapeutic responses such as imaging pseudophenomena and treatment-induced necrosis, and how advancements in perfusion imaging, positron emission tomography, and magnetic resonance spectroscopy have shown promise in differentiating tumor progression from therapy-induced changes. Finally, although objective endpoints such as MR imaging and survival estimates will likely continue to comprise the foundations for outcome measures in veterinary brain tumor clinical trials, we propose that in order to provide a more relevant therapeutic response metric for veterinary patients, composite response systems should be formulated and validated that combine imaging and clinical assessment criteria.

Indexed as

Practice Guidelines as TopicAnimalsBrain NeoplasmsDog DiseasesDogsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNeuroimagingOutcome Assessment, Health CarePerfusion ImagingPositron-Emission Tomographybrain tumorMRIneurologyoncology

Identifiers

PMID24219161
PMCPMC3949168

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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.