Imaging and diagnostic advances for intracranial meningiomas

International Consortium on Meningiomas

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)I44-I61
JournalNeuro-oncology
Volume21
DOIs
StatePublished - Jan 14 2019

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Meningioma
Diagnostic Imaging
Central Nervous System Neoplasms
Neoplasms
Information Storage and Retrieval
Nuclear Medicine
Motion Pictures
Tumor Burden
Growth

All Science Journal Classification (ASJC) codes

  • Oncology
  • Clinical Neurology
  • Cancer Research

Cite this

International Consortium on Meningiomas. / Imaging and diagnostic advances for intracranial meningiomas. In: Neuro-oncology. 2019 ; Vol. 21. pp. I44-I61.
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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.",
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International Consortium on Meningiomas 2019, 'Imaging and diagnostic advances for intracranial meningiomas', Neuro-oncology, vol. 21, pp. I44-I61. https://doi.org/10.1093/neuonc/noy143

Imaging and diagnostic advances for intracranial meningiomas. / International Consortium on Meningiomas.

In: Neuro-oncology, Vol. 21, 14.01.2019, p. I44-I61.

Research output: Contribution to journalArticle

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

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AU - Raleigh, David

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