Literature DB >> 27111014

Comparison of visual metric and planimetry methods for brain tumor measurement in dogs.

Chris B Thomson, Kevin H Haynes, G Elizabeth Pluhar.   

Abstract

OBJECTIVE To compare the orthogonal diameter (visual metric) method against a manual perimeter tracing (planimetry) method to measure volume of brain tumors in dogs by use of MRI scans. SAMPLE 22 sets of MRI brain scans pertaining to 22 client-owned dogs with histologically confirmed glioma. PROCEDURES MRI scans were reviewed by 2 operators, and scans revealing tumors with a degree of gadolinium enhancement that allowed discrimination between tumor tissue and healthy parenchyma were used. Each operator calculated tumor volume for each set of scans twice by use of visual metric and planimetry methods. Inter- and intraoperator variability were assessed by calculation of an agreement index (AI). RESULTS Mean ± SD intraoperator AIs were 0.79 ± 0.24 for the visual metric method and 0.89 ± 0.17 for the planimetry method. Intraoperator variability for both operators was significantly less when the planimetry method was used than when the visual metric method was used. No significant differences were identified in mean interoperator AI between visual metric (0.68 ± 0.28) and planimetry (0.67 ± 0.31) methods. CONCLUSIONS AND CLINICAL RELEVANCE The lower intraoperator variability achieved with the planimetry versus visual metric method should result in more precise volume assessments when the same operator performs multiple volume measurements of brain tumors in dogs. Equivocal results for interoperator variability may have been due to method variance or inadequate preliminary training. Additional studies are needed to evaluate the suitability of planimetry for assessing response to treatment.

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Year:  2016        PMID: 27111014     DOI: 10.2460/ajvr.77.5.471

Source DB:  PubMed          Journal:  Am J Vet Res        ISSN: 0002-9645            Impact factor:   1.156


  4 in total

1.  Incidence and type of brain herniation associated with intracranial meningioma in dogs and cats.

Authors:  Simone Minato; Giunio B Cherubini; Daniele Della Santa; Stefano Salvadori; Massimo Baroni
Journal:  J Vet Med Sci       Date:  2020-12-21       Impact factor: 1.267

2.  Relationship between histological tumor margins and magnetic resonance imaging signal intensities in brain neoplasia of dogs.

Authors:  Philippa J Johnson; Benjamin C Rivard; Jonathan H Wood; Mattisen L DiRubio; Joshua G Henry; Andrew D Miller
Journal:  J Vet Intern Med       Date:  2022-04-30       Impact factor: 3.175

3.  Comparison of linear and volumetric criteria for the determination of therapeutic response in dogs with intracranial gliomas.

Authors:  Josefa Karina Garcia Mora; John Robertson; Fang-Chi Hsu; Richard Levon Shinn; Martha M Larson; Christopher G Rylander; Christopher T Whitlow; Waldemar Debinski; Rafael V Davalos; Gregory B Daniel; John H Rossmeisl
Journal:  J Vet Intern Med       Date:  2022-03-11       Impact factor: 3.175

4.  Comparative evaluation of a novel, moderately hypofractionated radiation protocol in 56 dogs with symptomatic intracranial neoplasia.

Authors:  Philip Schwarz; Valeria Meier; Alena Soukup; Randi Drees; Jürgen Besserer; Katrin Beckmann; Malgorzata Roos; Carla Rohrer Bley
Journal:  J Vet Intern Med       Date:  2018-10-11       Impact factor: 3.333

  4 in total

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