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Natural History and Growth Patterns of Incidentally Discovered Diffusely Infiltrating Low-Grade Gliomas: A Volumetric Study.
- Source :
-
World neurosurgery [World Neurosurg] 2019 Dec; Vol. 132, pp. e133-e139. Date of Electronic Publication: 2019 Sep 07. - Publication Year :
- 2019
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Abstract
- Background: Incidentally discovered diffusely infiltrating low-grade gliomas (iDLGGs) are rare findings on neuroimaging that pose a challenge to neurosurgeons. There is a paucity of data regarding the natural history of these lesions, and thus management is controversial. We characterize the growth rates and patterns of iDLGGs in a cohort of patients who underwent serial magnetic resonance imaging before surgical treatment.<br />Methods: We performed a retrospective review of all adult patients (≥18 years old) with diffuse low-grade glioma diagnosed at our institution between April 2004 and April 2016. iDLGG was defined as any lesion discovered on computed tomography or magnetic resonance imaging performed for reasons and/or symptoms not attributable to the lesion and confirmed on histopathology as low-grade glioma. Tumor growth rates and patterns of growth were analyzed in patients who had serial imaging available.<br />Results: Inclusion criteria were met by 15 patients. Mean velocity of diametric expansion was 2.93 mm/year. Of 15 patients, 11 (73.3%) had tumors with an exponential growth pattern, and 4 (26.7%) had a linear growth pattern. Initial tumor volume was positively correlated (r = 0.78) with velocity of diametric expansion.<br />Conclusions: iDLGGs grow over time, and most exhibit an exponential pattern of growth. Tumor volume at the time of diagnosis is predictive of a faster growth rate, but not the pattern of growth.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Adult
Age Factors
Cohort Studies
Disease Progression
Female
Humans
Incidental Findings
Magnetic Resonance Imaging
Male
Middle Aged
Neoplasm Grading
Neuroimaging
Retrospective Studies
Risk Factors
Tomography, X-Ray Computed
Young Adult
Brain Neoplasms diagnostic imaging
Brain Neoplasms pathology
Glioma diagnostic imaging
Glioma pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1878-8769
- Volume :
- 132
- Database :
- MEDLINE
- Journal :
- World neurosurgery
- Publication Type :
- Academic Journal
- Accession number :
- 31505287
- Full Text :
- https://doi.org/10.1016/j.wneu.2019.08.235