Brain stem gliomas: A classification system based on magnetic resonance imaging

Support of the Preuss Foundation

doi:10.1159/000120511

Brain stem gliomas: A classification system based on magnetic resonance imaging

Support of the Preuss Foundation

Research output: Contribution to journal › Article › peer-review

199 Scopus citations

Abstract

MR scans of 87 pediatric patients with brain stem gliomas were retrospectively reviewed to develop a new classification scheme based on MR imaging. The scheme that has been developed utilizes primarily T2-weightcd images, as these most accurately show tumor extent. Tumors are characterized as to location of origin, focality, direction and extent of tumor growth, degree of brain stem enlargement, degree of exophytic growth, and presence or absence of cysts, necrosis, hemorrhage, and hydrocephalus. The use of this classification allowed identification of differences in a population of patients who were selected to be as similar as possible. This system will aid in the assessment of new protocols for treatment of brain stem tumors.

Original language	English (US)
Pages (from-to)	73-83
Number of pages	11
Journal	Pediatric Neurosurgery
Volume	16
Issue number	2
DOIs	https://doi.org/10.1159/000120511
State	Published - 1990

Keywords

Brain stem tumor
Children
Glioma
Magnetic resonance imaging

ASJC Scopus subject areas

Pediatrics, Perinatology, and Child Health
Surgery
Clinical Neurology

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10.1159/000120511

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title = "Brain stem gliomas: A classification system based on magnetic resonance imaging",

abstract = "MR scans of 87 pediatric patients with brain stem gliomas were retrospectively reviewed to develop a new classification scheme based on MR imaging. The scheme that has been developed utilizes primarily T2-weightcd images, as these most accurately show tumor extent. Tumors are characterized as to location of origin, focality, direction and extent of tumor growth, degree of brain stem enlargement, degree of exophytic growth, and presence or absence of cysts, necrosis, hemorrhage, and hydrocephalus. The use of this classification allowed identification of differences in a population of patients who were selected to be as similar as possible. This system will aid in the assessment of new protocols for treatment of brain stem tumors.",

keywords = "Brain stem tumor, Children, Glioma, Magnetic resonance imaging",

author = "{Support of the Preuss Foundation} and Barkovich, {A. J.} and J. Krischer and Kun, {L. F.} and R. Packer and Zimmerman, {R. A.} and Freeman, {C. R.} and Wara, {W. M.} and L. Albright and Allen, {J. C.} and Hoffman, {H. J.}",

year = "1990",

doi = "10.1159/000120511",

language = "English (US)",

volume = "16",

pages = "73--83",

journal = "Pediatric Neurosurgery",

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T2 - A classification system based on magnetic resonance imaging

AU - Support of the Preuss Foundation

AU - Barkovich, A. J.

AU - Krischer, J.

AU - Kun, L. F.

AU - Packer, R.

AU - Zimmerman, R. A.

AU - Freeman, C. R.

AU - Wara, W. M.

AU - Albright, L.

AU - Allen, J. C.

AU - Hoffman, H. J.

PY - 1990

Y1 - 1990

N2 - MR scans of 87 pediatric patients with brain stem gliomas were retrospectively reviewed to develop a new classification scheme based on MR imaging. The scheme that has been developed utilizes primarily T2-weightcd images, as these most accurately show tumor extent. Tumors are characterized as to location of origin, focality, direction and extent of tumor growth, degree of brain stem enlargement, degree of exophytic growth, and presence or absence of cysts, necrosis, hemorrhage, and hydrocephalus. The use of this classification allowed identification of differences in a population of patients who were selected to be as similar as possible. This system will aid in the assessment of new protocols for treatment of brain stem tumors.

AB - MR scans of 87 pediatric patients with brain stem gliomas were retrospectively reviewed to develop a new classification scheme based on MR imaging. The scheme that has been developed utilizes primarily T2-weightcd images, as these most accurately show tumor extent. Tumors are characterized as to location of origin, focality, direction and extent of tumor growth, degree of brain stem enlargement, degree of exophytic growth, and presence or absence of cysts, necrosis, hemorrhage, and hydrocephalus. The use of this classification allowed identification of differences in a population of patients who were selected to be as similar as possible. This system will aid in the assessment of new protocols for treatment of brain stem tumors.

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KW - Glioma

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Brain stem gliomas: A classification system based on magnetic resonance imaging

Abstract

Keywords

ASJC Scopus subject areas

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