Evidence map›Paper›PMID 30990928›Full record

ArticleJournal of veterinary internal medicine2019

Diagnostic accuracy of stereotactic brain biopsy for intracranial neoplasia in dogs: Comparison of biopsy, surgical resection, and necropsy specimens.

Yukitaka Kani, Thomas E Cecere, Kevin Lahmers, Tanya LeRoith, Kurt L Zimmerman, Scott Isom, Fang-Chi Hsu, Waldemar Debinksi, John L Robertson, John H Rossmeisl

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Common Neurologic Diseases in Geriatric Dogs.Animals : an open access journal from MDPI · 2024
    Review
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  16. Companion animal models of neurological disease.Journal of neuroscience methods · 2020
    Review
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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

10 authors at 2 institutions in 1 country.

Yukitaka KaniVeterinary and Comparative Neuro-oncology Laboratory, Department of Small Animal Clinical Sciences, Virginia Tech, Blacksburg, Virginia.
Thomas E CecereDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia.
Kevin LahmersDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia.
Tanya LeRoithDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia.
Kurt L ZimmermanDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia.
Scott IsomDepartment of Biostatistical Sciences, Wake Forest University, Winston-Salem, North Carolina.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest University, Winston-Salem, North Carolina.
Waldemar DebinksiCancer Biology, Comprehensive Cancer Center and Brain Tumor Center of Excellence, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
John L RobertsonVeterinary and Comparative Neuro-oncology Laboratory, Department of Small Animal Clinical Sciences, Virginia Tech, Blacksburg, Virginia.
John H RossmeislVeterinary and Comparative Neuro-oncology Laboratory, Department of Small Animal Clinical Sciences, Virginia Tech, Blacksburg, Virginia.ORCID https://orcid.org/0000-0003-1655-7076
Virginia–Maryland College of Veterinary Medicine · USWake Forest University · US

Funding

High-frequency Irreversible Electroporation (H-FIRE) combinatorial GBM treatmentR01CA213423 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DAVALOS, RAFAEL VIDAL, VERBRIDGE, SCOTT S · 2017 to 2021
$1.7M
National Cancer Institute R01CA213423National Institutes of Health P01CA207206
6 · The paper itself

Abstract

backgroundStereotactic brain biopsy (SBB) is a technique that allows for definitive diagnosis of brain lesions. Little information is available regarding the diagnostic utility of SBB in dogs with intracranial diseases.

objectiveTo investigate the diagnostic accuracy (DA) of SBB in dogs with brain tumors. ANIMALS: Thirty-one client-owned dogs that underwent SBB followed by surgical resection or necropsy examinations.

methodsRetrospective observational study. Two pathologists blinded to SBB and reference standard diagnoses reviewed histologic specimens and typed and graded tumors according to World Health Organization and revised canine glioma classification criteria. Agreement between tumor type and grade from SBB were compared to reference standards and assessed using kappa statistics. Patient and technical factors associated with agreement also were examined.

resultsStereotactic brain biopsy specimens were obtained from 24 dogs with gliomas and 7 with meningiomas. Tumor type agreement between SBB and the reference standard was observed in 30/31 cases (κ = 0.95). Diagnostic concordance was perfect for meningiomas. Grade agreement among gliomas was observed in 18/23 cases (κ = 0.47). Stereotactic brain biopsy underrepresented the reference standard glioma grade in cases with disagreement. The DA of SBB was 81%, with agreement noted in 56/69 biopsy samples. Smaller tumors and fewer SBB specimens obtained were significantly associated with diagnostic discordance. CONCLUSIONS AND CLINICAL IMPORTANCE: The DA of SBB readily allows for the diagnosis of common brain tumors in dogs. Although glioma grade discordance was frequent, diagnoses obtained from SBB are sufficient to currently inform therapeutic decisions. Multiple SBB specimens should be collected to maximize DA.

Indexed as

AnimalsBiopsyBrain NeoplasmsDog DiseasesDogsFemaleGliomaMaleMeningiomaNeoplasm GradingRetrospective StudiesStereotaxic Techniquesbiopsybrain tumordiagnosisdoggliomameningioma

Identifiers

PMID30990928
PMCPMC6524398
OpenAlexW2938403450

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.