Literature DB >> 3242530

Comparison of CT and MRI brain tumor imaging using a canine glioma model.

H T Whelan1, J A Clanton, R E Wilson, N B Tulipan.   

Abstract

A canine gliosarcoma model was used to study the effectiveness of magnetic resonance imaging (MRI) with gadolinium contrast enhancement in defining the histologic margins of brain tumors. The effectiveness of this technique was compared to conventional computed tomography (CT) using iodinated contrast enhancement. Cultured canine gliosarcoma cells were injected into the left hemisphere of adult mongrel dogs. The dogs developed brain tumors and progressive clinical signs. Serial MRI with and without gadolinium diethylene triamine penta-acetic acid was compared to serial CT with and without sodium iothalamate obtained on the same days. After the final scans, animals were sacrificed; the brains were removed and processed for routine histopathologic study. All tumors were visualized with contrast-enhanced MRI which proved most sensitive. Gadolinium di-ethylene triamine penta-acetic acid caused bright enhancement of tumors in a distribution that consistently corresponded to areas of pathologically proved tumor infiltration. Gross and microscopic autopsy findings correlated better with MRI than with CT which tended to produce poorer resolution and underrepresent the size of viable tumor. Gadolinium-enhanced MRI is more accurate than unenhanced MRI, unenhanced CT, or enhanced CT in defining the histologic margins of tumors.

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Year:  1988        PMID: 3242530     DOI: 10.1016/0887-8994(88)90066-5

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  8 in total

1.  Supratentorial low-grade glioma resectability: statistical predictive analysis based on anatomic MR features and tumor characteristics.

Authors:  Ion-Florin Talos; Kelly H Zou; Lucila Ohno-Machado; Jui G Bhagwat; Ron Kikinis; Peter M Black; Ferenc A Jolesz
Journal:  Radiology       Date:  2006-05       Impact factor: 11.105

Review 2.  Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patients.

Authors:  John H Rossmeisl; Paulo A Garcia; Gregory B Daniel; John Daniel Bourland; Waldemar Debinski; Nikolaos Dervisis; Shawna Klahn
Journal:  Vet Radiol Ultrasound       Date:  2013-11-13       Impact factor: 1.363

Review 3.  Vertebrate animal models of glioma: understanding the mechanisms and developing new therapies.

Authors:  Leon Chen; Yuqing Zhang; Jingxuan Yang; John P Hagan; Min Li
Journal:  Biochim Biophys Acta       Date:  2013-04-22

4.  Low grade gliomas: comparison of intraoperative ultrasound characteristics with preoperative imaging studies.

Authors:  P D Le Roux; M S Berger; K Wang; L A Mack; G A Ojemann
Journal:  J Neurooncol       Date:  1992-06       Impact factor: 4.130

Review 5.  Dogs are man's best friend: in sickness and in health.

Authors:  R Timothy Bentley; Atique U Ahmed; Amy B Yanke; Aaron A Cohen-Gadol; Mahua Dey
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

6.  Application of Deep Learning Technology in Glioma.

Authors:  Guangdong Hu; Fengyuan Qian; Longgui Sha; Zilong Wei
Journal:  J Healthc Eng       Date:  2022-02-18       Impact factor: 2.682

7.  Computed Tomography and Magnetic Resonance Imaging Are Equivalent in Mensuration and Similarly Inaccurate in Grade and Type Predictability of Canine Intracranial Gliomas.

Authors:  Krystina L Stadler; Jeffrey D Ruth; Theresa E Pancotto; Stephen R Werre; John H Rossmeisl
Journal:  Front Vet Sci       Date:  2017-09-25

Review 8.  Radioresistance in Glioblastoma and the Development of Radiosensitizers.

Authors:  Md Yousuf Ali; Claudia R Oliva; Abu Shadat M Noman; Bryan G Allen; Prabhat C Goswami; Yousef Zakharia; Varun Monga; Douglas R Spitz; John M Buatti; Corinne E Griguer
Journal:  Cancers (Basel)       Date:  2020-09-03       Impact factor: 6.639

  8 in total

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