Imaging and diagnostic advances for intracranial meningiomas

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Imaging and diagnostic advances for intracranial meningiomas. / Huang, Raymond Y; Bi, Wenya Linda; Griffith, Brent; Kaufmann, Timothy J; la Fougère, Christian; Schmidt, Nils Ole; Tonn, Jöerg C; Vogelbaum, Michael A; Wen, Patrick Y; Aldape, Kenneth; Nassiri, Farshad; Zadeh, Gelareh; Dunn, Ian F; International Consortium on Meningiomas (ICOM).

in: NEURO-ONCOLOGY, Jahrgang 21, Nr. Suppl 1, 14.01.2019, S. i44-i61.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Huang, RY, Bi, WL, Griffith, B, Kaufmann, TJ, la Fougère, C, Schmidt, NO, Tonn, JC, Vogelbaum, MA, Wen, PY, Aldape, K, Nassiri, F, Zadeh, G, Dunn, IF & International Consortium on Meningiomas (ICOM) 2019, 'Imaging and diagnostic advances for intracranial meningiomas', NEURO-ONCOLOGY, Jg. 21, Nr. Suppl 1, S. i44-i61. https://doi.org/10.1093/neuonc/noy143

APA

Huang, R. Y., Bi, W. L., Griffith, B., Kaufmann, T. J., la Fougère, C., Schmidt, N. O., Tonn, J. C., Vogelbaum, M. A., Wen, P. Y., Aldape, K., Nassiri, F., Zadeh, G., Dunn, I. F., & International Consortium on Meningiomas (ICOM) (2019). Imaging and diagnostic advances for intracranial meningiomas. NEURO-ONCOLOGY, 21(Suppl 1), i44-i61. https://doi.org/10.1093/neuonc/noy143

Vancouver

Huang RY, Bi WL, Griffith B, Kaufmann TJ, la Fougère C, Schmidt NO et al. Imaging and diagnostic advances for intracranial meningiomas. NEURO-ONCOLOGY. 2019 Jan 14;21(Suppl 1):i44-i61. https://doi.org/10.1093/neuonc/noy143

Bibtex

@article{36292a1a26e044ebbeff19f4b3e604c5,
title = "Imaging and diagnostic advances for intracranial meningiomas",
abstract = "The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.",
keywords = "Journal Article",
author = "Huang, {Raymond Y} and Bi, {Wenya Linda} and Brent Griffith and Kaufmann, {Timothy J} and {la Foug{\`e}re}, Christian and Schmidt, {Nils Ole} and Tonn, {J{\"o}erg C} and Vogelbaum, {Michael A} and Wen, {Patrick Y} and Kenneth Aldape and Farshad Nassiri and Gelareh Zadeh and Dunn, {Ian F} and {International Consortium on Meningiomas (ICOM)}",
year = "2019",
month = jan,
day = "14",
doi = "10.1093/neuonc/noy143",
language = "English",
volume = "21",
pages = "i44--i61",
journal = "NEURO-ONCOLOGY",
issn = "1522-8517",
publisher = "Oxford University Press",
number = "Suppl 1",

}

RIS

TY - JOUR

T1 - Imaging and diagnostic advances for intracranial meningiomas

AU - Huang, Raymond Y

AU - Bi, Wenya Linda

AU - Griffith, Brent

AU - Kaufmann, Timothy J

AU - la Fougère, Christian

AU - Schmidt, Nils Ole

AU - Tonn, Jöerg C

AU - Vogelbaum, Michael A

AU - Wen, Patrick Y

AU - Aldape, Kenneth

AU - Nassiri, Farshad

AU - Zadeh, Gelareh

AU - Dunn, Ian F

AU - International Consortium on Meningiomas (ICOM)

PY - 2019/1/14

Y1 - 2019/1/14

N2 - The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.

AB - The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.

KW - Journal Article

U2 - 10.1093/neuonc/noy143

DO - 10.1093/neuonc/noy143

M3 - SCORING: Journal article

C2 - 30649491

VL - 21

SP - i44-i61

JO - NEURO-ONCOLOGY

JF - NEURO-ONCOLOGY

SN - 1522-8517

IS - Suppl 1

ER -