ArticleFrontiers in veterinary science2017
Computed Tomography and Magnetic Resonance Imaging Are Equivalent in Mensuration and Similarly Inaccurate in Grade and Type Predictability of Canine Intracranial Gliomas.
Article in Frontiers in veterinary science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 23 citations in OpenAlex.
- Magnetic resonance imaging of primary central nervous system neoplasms of dogs and cats: Basic concepts for diagnostic pathologists.Veterinary pathology · 2026Review
- Neurologic improvement and tumor shrinkage after radiotherapy in dogs with imaging-based intracranial neoplasia.Journal of veterinary internal medicine · 2026Article
- Common Neurologic Diseases in Geriatric Dogs.Animals : an open access journal from MDPI · 2024Review
- Grading of Gliomas by Contrast-Enhanced CT Radiomics Features.Journal of biomedical physics & engineering · 2024Article
- An Illustrated Scoping Review of the Magnetic Resonance Imaging Characteristics of Canine and Feline Brain Tumors.Animals : an open access journal from MDPI · 2024Article
- Survival Time after Surgical Debulking and Temozolomide Adjuvant Chemotherapy in Canine Intracranial Gliomas.Veterinary sciences · 2022Article
- Clinical and Magnetic Resonance Imaging (MRI) Features, Tumour Localisation, and Survival of Dogs with Presumptive Brain Gliomas.Veterinary sciences · 2022Article
- Clinical features, diagnosis, and survival analysis of dogs with glioma.Journal of veterinary internal medicine · 2021Article
- Definitive-intent uniform megavoltage fractioned radiotherapy protocol for presumed canine intracranial gliomas: retrospective analysis of survival and prognostic factors in 38 cases (2013-2019).BMC veterinary research · 2020Article
- Risk factors for adverse events occurring after recovery from stereotactic brain biopsy in dogs with primary intracranial neoplasia.Journal of veterinary internal medicine · 2020Article
- Companion animal models of neurological disease.Journal of neuroscience methods · 2020Review
- Canine Primary Intracranial Cancer: A Clinicopathologic and Comparative Review of Glioma, Meningioma, and Choroid Plexus Tumors.Frontiers in oncology · 2019Review
- 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 · 2018Article
- The T2-FLAIR mismatch sign as an imaging biomarker for oligodendrogliomas in dogs.Journal of veterinary internal medicineArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While magnetic resonance imaging (MRI) is the gold-standard imaging modality for diagnosis of intracranial neoplasia, computed tomography (CT) remains commonly used for diagnosis and therapeutic planning in veterinary medicine. Despite the routine use of both imaging modalities, comparison of CT and MRI has not been described in the canine patient. A retrospective study was performed to evaluate CT and MRI studies of 15 dogs with histologically confirmed glioma. Multiple lesion measurements were obtained, including two-dimensional and volumetric dimensions in pre-contrast and post-contrast images. Similar measurement techniques were compared between CT and MRI. The glioma type (astrocytoma or oligodendroglioma) and grade (high or low) were predicted on CT and MRI independently. With the exception of the comparison between CT pre-contrast volume to T2-weighted MRI volume, no other statistical differences between CT and MRI measurements were identified. Overall accuracy for tumor grade (high or low) was 46.7 and 53.3% for CT and MRI, respectively. For predicted tumor type, accuracy of CT was 53.3% and MRI and MRI 60%. Based on the results of this study, both CT and MRI contrast measurement techniques are considered equivalent options for lesion mensuration. Given the low-to-moderate predictability of CT and MRI in glioma diagnosis, histopathology remains necessary for accurate diagnosis of canine brain tumors.
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Registered trials
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