TY - JOUR
T1 - Imaging and diagnostic advances for intracranial meningiomas
AU - International Consortium on 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 - Au, Karolyn
AU - Barnhartz-Sloan, Jill
AU - Brastianos, Priscilla K.
AU - Butowski, Nicholas
AU - Carlotti, Carlos
AU - Cusimano, Michael D.
AU - Dimeco, Francesco
AU - Drummond, Katharine
AU - Galanis, Evanthia
AU - Giannini, Caterina
AU - Goldbrunner, Roland
AU - Hashizume, Rintaro
AU - Hanemann, C. Oliver
AU - Herold-Mende, Christel
AU - Horbinski, Craig
AU - James, David
AU - Jenkinson, Michael D.
AU - Jungk, Christine
AU - Kaufman, Timothy J.
AU - Krischek, Boris
AU - Lachance, Daniel
AU - Lafougère, Christian
AU - Lee, Ian
AU - Liu, Jeff C.
AU - Mamatjan, Yasin
AU - Mansouri, Alireza
AU - Mawrin, Christian
AU - McDermott, Michael
AU - Munoz, David
AU - Noushmehr, Houtan
AU - Ng, Ho Keung
AU - Perry, Arie
AU - Pirouzmand, Farhad
AU - Poisson, Laila M.
AU - Pollo, Bianca
AU - Raleigh, David
AU - Sahm, Felix
N1 - Funding Information:
The collaborative effort of the International Consortium on Meningiomas (ICOM) is supported by The Brain Tumour Charity Quest for Cures: Collaborative Team Award and the Canadian
Funding Information:
by an unrestricted grant from the MacFeeters Hamilton Neuro-Oncology Program at the Princess Margaret Cancer Center and by the Dr. Mary Hunter Brain Tumor Research Funds from the Toronto General & Western Hospital Foundation.
Publisher Copyright:
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved.
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.
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U2 - 10.1093/neuonc/noy143
DO - 10.1093/neuonc/noy143
M3 - Article
C2 - 30649491
AN - SCOPUS:85060053105
SN - 1522-8517
VL - 21
SP - I44-I61
JO - Neuro-oncology
JF - Neuro-oncology
ER -