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Growth Analysis of Untreated Meningiomas under Observation.
Opalak, Charles F; Sima, Adam P; Carr, Matthew Thomas; Rock, Andrew; Somasundaram, Aravind; Workman, Kathryn G; Dincer, Alper; Chandra, Vyshak; Vega, Rafael A; Broaddus, William C.
Afiliação
  • Opalak CF; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
  • Sima AP; Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, United States.
  • Carr MT; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
  • Rock A; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
  • Somasundaram A; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
  • Workman KG; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
  • Dincer A; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
  • Chandra V; Department of Neurosurgery, University of Florida, Gainesville, Florida, United States.
  • Vega RA; Department of Neurosurgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.
  • Broaddus WC; Department of Neurosurgery, Virginia Commonwealth University Health System, Richmond, Virginia, United States.
J Neurol Surg A Cent Eur Neurosurg ; 84(2): 109-115, 2023 Mar.
Article em En | MEDLINE | ID: mdl-34897618
ABSTRACT

BACKGROUND:

When meningiomas are small or asymptomatic, the decision to observe rather than treat requires balancing the growth potential of the lesion with the outcome and side effects of treatment. The aim of this study is to characterize the growth patterns of untreated meningiomas to better inform the clinical decision-making process.

METHODS:

Patients with meningiomas were identified from 2005 to 2015. Those without treatment who had been followed for 1.5 years, with three magnetic resonance imaging (MRI) scans, were identified. Scans were measured with orthogonal diameters, geometric mean diameters, and volumes using the ABC/2 method. Regression modeling determined what growth pattern these parameters best approximated.

RESULTS:

Two hundred and fifteen MRI scans for 34 female (82.9%) and 7 male (17%) patients with 43 tumors were evaluated. Initial tumor volumes ranged from 0.13 to 9.98 mL. The mean and median initial volumes were 2.44 and 1.52 mL, respectively. Follow-up times ranged from 21 to 144 months, with a median of 70 months. There were 12 tumors (28%) whose growth rates were significantly greater than zero. For all tumors, use of a linear regression model allowed accurate prediction of the future size using prior data.

CONCLUSION:

Three-quarters of presumptive meningiomas managed conservatively do not grow significantly. The remainder have significant growth over time, and the behavior could be approximated with linear regression models.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Meníngeas / Meningioma Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Meníngeas / Meningioma Idioma: En Ano de publicação: 2023 Tipo de documento: Article