Literature DB >> 30085283

Response assessment of meningioma: 1D, 2D, and volumetric criteria for treatment response and tumor progression.

Raymond Y Huang1, Prashin Unadkat1, Wenya Linda Bi2, Elizabeth George1, Matthias Preusser3, Jay D McCracken4, Joseph R Keen5, William L Read4, Jeffrey J Olson4, Katharina Seystahl6, Emilie Le Rhun7,8, Ulrich Roelcke9, Susanne Koeppen10, Julia Furtner11, Michael Weller6, Jeffrey J Raizer12, David Schiff13,14,15, Patrick Y Wen16.   

Abstract

BACKGROUND: Meningiomas are the most common primary brain tumors in adults. Due to their variable growth rates and irregular tumor shapes, response assessment in clinical trials remains challenging and no standard criteria have been defined. We evaluated 1D, 2D, and volume imaging criteria to assess whether a volumetric approach might be a superior surrogate for overall survival (OS).
METHODS: In this retrospective multicenter study, we evaluated the clinical and imaging data of 93 patients with recurrent meningiomas treated with pharmacotherapy. One-dimensional (1D), 2D, and volumetric measurements of enhancing tumor on pre- and post-treatment MRI were compared at 6 and 12 months after treatment initiation. Cox proportional hazards models were used to examine the relationship between each imaging criterion and OS.
RESULTS: The median age of the patient cohort is 51 years (range 12-88), with 14 World Health Organization (WHO) grade I, 53 WHO grade II, and 26 WHO grade III meningiomas. Volumetric increase of 40% and unidimensional increase by 10 mm at 6 months and 12 months provided the strongest association with overall survival (HR = 2.58 and 3.24 respectively, p<0.01). Setting a volume change threshold above 40% did not correlate with survival. The interobserver agreement of 1D, 2D, and volume criteria is only moderate (kappa = 0.49, 0.46, 0.52, respectively). None of the criteria based on tumor size reduction were associated with OS (P > 0.09).
CONCLUSION: Compared with 1D (Response Evaluation Criteria In Solid Tumors 1.1) and 2D (Response Assessment in Neuro-Oncology) approaches, volumetric criteria for tumor progression has a stronger association with OS, although the differences were only modest. The interobserver variability is moderate for all 3 methods. Further validation of these findings in an independent patient cohort is needed.
© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  MRI; meningioma; response; survival; volume

Year:  2019        PMID: 30085283      PMCID: PMC6374755          DOI: 10.1093/neuonc/noy126

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  17 in total

1.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

2.  Somatostatin receptor-targeted radionuclide therapy for progressive meningioma: benefit linked to 68Ga-DOTATATE/-TOC uptake.

Authors:  Katharina Seystahl; Veit Stoecklein; Ulrich Schüller; Elisabeth Rushing; Guillaume Nicolas; Niklaus Schäfer; Harun Ilhan; Athina Pangalu; Michael Weller; Jörg-Christian Tonn; Michael Sommerauer; Nathalie L Albert
Journal:  Neuro Oncol       Date:  2016-04-21       Impact factor: 12.300

Review 3.  Response assessment criteria for brain metastases: proposal from the RANO group.

Authors:  Nancy U Lin; Eudocia Q Lee; Hidefumi Aoyama; Igor J Barani; Daniel P Barboriak; Brigitta G Baumert; Martin Bendszus; Paul D Brown; D Ross Camidge; Susan M Chang; Janet Dancey; Elisabeth G E de Vries; Laurie E Gaspar; Gordon J Harris; F Stephen Hodi; Steven N Kalkanis; Mark E Linskey; David R Macdonald; Kim Margolin; Minesh P Mehta; David Schiff; Riccardo Soffietti; John H Suh; Martin J van den Bent; Michael A Vogelbaum; Patrick Y Wen
Journal:  Lancet Oncol       Date:  2015-05-27       Impact factor: 41.316

Review 4.  Historical benchmarks for medical therapy trials in surgery- and radiation-refractory meningioma: a RANO review.

Authors:  Thomas Kaley; Igor Barani; Marc Chamberlain; Michael McDermott; Katherine Panageas; Jeffrey Raizer; Leland Rogers; David Schiff; Michael Vogelbaum; Damien Weber; Patrick Wen
Journal:  Neuro Oncol       Date:  2014-02-04       Impact factor: 12.300

5.  A new metric for detecting change in slowly evolving brain tumors: validation in meningioma patients.

Authors:  Kilian M Pohl; Ender Konukoglu; Sebastian Novellas; Nicholas Ayache; Andriy Fedorov; Ion-Florin Talos; Alexandra Golby; William M Wells; Ron Kikinis; Peter M Black
Journal:  Neurosurgery       Date:  2011-03       Impact factor: 4.654

6.  A phase II trial of PTK787/ZK 222584 in recurrent or progressive radiation and surgery refractory meningiomas.

Authors:  Jeffrey J Raizer; Sean A Grimm; Alfred Rademaker; James P Chandler; Kenji Muro; Irene Helenowski; Laurie Rice; Katie McCarthy; Sandra K Johnston; Maciej M Mrugala; Marc Chamberlain
Journal:  J Neurooncol       Date:  2014-01-22       Impact factor: 4.130

7.  CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014.

Authors:  Quinn T Ostrom; Haley Gittleman; Peter Liao; Toni Vecchione-Koval; Yingli Wolinsky; Carol Kruchko; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2017-11-06       Impact factor: 12.300

8.  Kinetics of tumor size and peritumoral brain edema before, during, and after systemic therapy in recurrent WHO grade II or III meningioma.

Authors:  Julia Furtner; Veronika Schöpf; Katharina Seystahl; Emilie Le Rhun; Roberta Rudà; Ulrich Roelcke; Susanne Koeppen; Anna Sophie Berghoff; Christine Marosi; Paul Clement; Marina Faedi; Colin Watts; Wolfgang Wick; Riccardo Soffietti; Michael Weller; Matthias Preusser
Journal:  Neuro Oncol       Date:  2015-09-09       Impact factor: 12.300

9.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

10.  Medical management of meningioma in the era of precision medicine.

Authors:  Saksham Gupta; Wenya Linda Bi; Ian F Dunn
Journal:  Neurosurg Focus       Date:  2018-04       Impact factor: 4.047

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Journal:  J Neuroradiol       Date:  2019-05-25       Impact factor: 3.447

2.  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

3.  Role of 3D volume growth rate for drug activity evaluation in meningioma clinical trials: the example of the CEVOREM study.

Authors:  Thomas Graillon; Loic Ferrer; Jason Siffre; Marc Sanson; Matthieu Peyre; Hadrien Peyrière; Grégory Mougel; Didier Autran; Emeline Tabouret; Dominique Figarella-Branger; Anne Barlier; Michel Kalamarides; Henry Dufour; Thierry Colin; Olivier Chinot
Journal:  Neuro Oncol       Date:  2021-07-01       Impact factor: 12.300

4.  Possible Abscopal Effect Observed in Frontal Meningioma After Localized IMRT on Posterior Meningioma Resection Cavity Without Adjuvant Immunotherapy.

Authors:  Danielle Golub; Kevin Kwan; Jonathan P S Knisely; Michael Schulder
Journal:  Front Oncol       Date:  2019-10-18       Impact factor: 6.244

Review 5.  Prognostic impact of genetic alterations and methylation classes in meningioma.

Authors:  Anna S Berghoff; Thomas Hielscher; Gerda Ricken; Julia Furtner; Daniel Schrimpf; Georg Widhalm; Ursula Rajky; Christine Marosi; Johannes A Hainfellner; Andreas von Deimling; Felix Sahm; Matthias Preusser
Journal:  Brain Pathol       Date:  2022-03       Impact factor: 6.508

6.  Deep neural networks allow expert-level brain meningioma segmentation and present potential for improvement of clinical practice.

Authors:  Alessandro Boaro; Jakub R Kaczmarzyk; Vasileios K Kavouridis; Maya Harary; Marco Mammi; Hassan Dawood; Alice Shea; Elise Y Cho; Parikshit Juvekar; Thomas Noh; Aakanksha Rana; Satrajit Ghosh; Omar Arnaout
Journal:  Sci Rep       Date:  2022-09-14       Impact factor: 4.996

7.  Long-Term Clinical Outcome of First Recurrence Skull Base Meningiomas.

Authors:  Yuki Kuranari; Ryota Tamura; Noboru Tsuda; Kenzo Kosugi; Yukina Morimoto; Kazunari Yoshida; Masahiro Toda
Journal:  J Clin Med       Date:  2019-12-31       Impact factor: 4.241

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