Literature DB >> 22302235

Computer-aided volumetric analysis as a sensitive tool for the management of incidental meningiomas.

Victor Chang1, Jayang Narang, Lonni Schultz, Ahmad Issawi, Rajan Jain, Jack Rock, Mark Rosenblum.   

Abstract

INTRODUCTION: Meningiomas are typically slow-growing lesions that, depending on the location, can be relatively benign. Knowing their exact rate of growth can be helpful in determining whether surgery is necessary.
METHODS: In this study we retrospectively reviewed the meningioma practices of the two senior authors (JR, MR). Our goal was to measure meningioma growth using a variety of methods (linear using diameters, and volumetric using the computer-aided perimeter and cross-sectional diameter methods) to compare rates of growth among the methods. Of 295 meningioma patients seen over an 8-year period, we identified a cohort of 31 patients with at least 30 months of follow-up. Volumes were calculated using medical imaging software with T1 post-contrast magnetic resonance imaging. Doubling times and growth rates were calculated.
RESULTS: Of the 31 patients, 26 (84%) were shown to have growing meningiomas. The perimeter methodology measured higher growth rates than the diameter method for both doubling times as well as percentage annual growth (p<0.01). The mean doubling time was 13.4 years (range, 2.1–72.8 years) and 17.9 years (range, 4–92.3 years) comparing perimeter and diameter methods, respectively. The mean percentage of annual growth was 15.2% (range, 1.8–61.7%) and 5.6% (range, 0.7–12.2%), comparing perimeter and diameter methods, respectively. Linear growth was calculated at 0.7 mm/year.
CONCLUSION: Overall, we found that computer-aided perimeter methods showed a more accurate picture of tumor progression than traditional methods, which generally underestimated growth.

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Year:  2012        PMID: 22302235     DOI: 10.1007/s00701-012-1273-9

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  14 in total

1.  Survival analyses in lung cancer.

Authors:  Kari Chansky; Dragan Subotic; Nathan R Foster; Torsten Blum
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

2.  How should we manage incidental meningiomas?

Authors:  Farshad Nassiri; Gelareh Zadeh
Journal:  Neuro Oncol       Date:  2020-02-20       Impact factor: 12.300

3.  Comparison of ABC/2 estimation and a volumetric computerized method for measurement of meningiomas using magnetic resonance imaging.

Authors:  Charles F Opalak; Matthew Parry; Andrew K Rock; Adam P Sima; Matthew T Carr; Vyshak Chandra; Kathryn G Workman; Aravind Somasundaram; William C Broaddus
Journal:  J Neurooncol       Date:  2019-08-10       Impact factor: 4.130

4.  Volumetric growth rate of incidental asymptomatic meningiomas: a single-center prospective cohort study.

Authors:  Pedro David Delgado-López; Antonio Montalvo-Afonso; Javier Martín-Alonso; Vicente Martín-Velasco; José Manuel Castilla-Díez; Ana María Galacho-Harriero; Sara Ortega-Cubero; Antonio Sánchez-Rodríguez; Antonio Rodríguez-Salazar
Journal:  Acta Neurochir (Wien)       Date:  2021-03-22       Impact factor: 2.216

5.  Volumetric measurement of intracranial meningiomas: a comparison between linear, planimetric, and machine learning with multiparametric voxel-based morphometry methods.

Authors:  Jonadab Dos Santos Silva; Cláudia Abib Schreiner; Lázaro de Lima; Carlos Eduardo Pinheiro Leal Brigido; Christopher D Wilson; Luke McVeigh; Joseph Acchiardo; José Alberto Landeiro; Marcus André Acioly; Aaron Cohen-Gadol
Journal:  J Neurooncol       Date:  2022-09-05       Impact factor: 4.506

6.  Imaging and diagnostic advances for intracranial meningiomas.

Authors:  Raymond Y Huang; Wenya Linda Bi; Brent Griffith; Timothy J Kaufmann; Christian la Fougère; Nils Ole Schmidt; Jöerg C Tonn; Michael A Vogelbaum; Patrick Y Wen; Kenneth Aldape; Farshad Nassiri; Gelareh Zadeh; Ian F Dunn
Journal:  Neuro Oncol       Date:  2019-01-14       Impact factor: 12.300

Review 7.  Overview: progression-free survival as an endpoint in clinical trials with solid tumors.

Authors:  Ronald L Korn; John J Crowley
Journal:  Clin Cancer Res       Date:  2013-05-15       Impact factor: 12.531

Review 8.  Meningioma.

Authors:  Ali-Reza Fathi; Ulrich Roelcke
Journal:  Curr Neurol Neurosci Rep       Date:  2013-04       Impact factor: 5.081

Review 9.  Volumetric growth rates of meningioma and its correlation with histological diagnosis and clinical outcome: a systematic review.

Authors:  Daniel M Fountain; Wai Cheong Soon; Tomasz Matys; Mathew R Guilfoyle; Ramez Kirollos; Thomas Santarius
Journal:  Acta Neurochir (Wien)       Date:  2017-01-18       Impact factor: 2.216

10.  Alteration of the Ki-67 Proliferative Index following Surgical Resection with or without Radiation Therapy of Intracranial Meningiomas.

Authors:  Amir H Faraji; Daniel A Tonetti; John C Flickinger; Johnathan A Engh
Journal:  Cureus       Date:  2017-11-23
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