Literature DB >> 31078973

Repeatability and reproducibility of relative cerebral blood volume measurement of recurrent glioma in a multicentre trial setting.

Marion Smits1, Martin Bendszus2, Sandra Collette3, Linda A Postma4, Frederic Dhermain5, Rogier E Hagenbeek6, Paul M Clement7, Yan Liu3, Wolfgang Wick2, Martin J van den Bent8, Sabine Heiland2.   

Abstract

BACKGROUND: Measurement of relative cerebral blood volume (rCBV) with dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) is used extensively for brain tumour diagnosis and follow-up. The aim of this pilot study was to assess the robustness of rCBV measurement in patients with enhancing recurrent glioma in a European multicentre trial setting.
METHODS: We included pre-treatment postcontrast T1 weighted (T1w) and DSC scans of 20 patients with recurrent glioma from 2 European Organisation for Research and Treatment of Cancer trials (26101 and 26091). Three reviewers independently placed a fixed circular region of interest of 70 mm2 in the tumour area of highest rCBV (rCBVmax). To calculate the normalised rCBVmax (nrCBVmax), three ROIs were placed in the anterior, middle and posterior centrum semiovale normal-appearing white matter of the contralateral hemisphere. After several months, each observer repeated the assessments blinded for initial findings. Repeatability and reproducibility were estimated with a mixed model. Each measurement was also classified according to 4 clinically meaningful categories.
RESULTS: Three patients were post hoc excluded from analysis because of lack of enhancing tumour. The mean nrCBVmax repeatability was 49.5%, and reproducibility was 5.5%. In 14 of 17 patients, at least 2 reviewers classified the patient into the same category.
CONCLUSIONS: Our results indicate that a well-established review process needs to be applied upfront to assess perfusion in a multicentre trial setting. While awaiting further validation, we propose as a strategy to measure rCBV in the context of recurrent glioma trials to use two central reviewers and an adjudicator in case of disagreement.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Advanced imaging; Biomarker; Glioma; MRI; Perfusion; Quantification

Mesh:

Substances:

Year:  2019        PMID: 31078973     DOI: 10.1016/j.ejca.2019.03.007

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  8 in total

1.  Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies.

Authors:  J M Hoxworth; J M Eschbacher; A C Gonzales; K W Singleton; G D Leon; K A Smith; A M Stokes; Y Zhou; G L Mazza; A B Porter; M M Mrugala; R S Zimmerman; B R Bendok; D P Patra; C Krishna; J L Boxerman; L C Baxter; K R Swanson; C C Quarles; K M Schmainda; L S Hu
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-12       Impact factor: 3.825

2.  Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients.

Authors:  Ashley M Stokes; Maurizio Bergamino; Lea Alhilali; Leland S Hu; John P Karis; Leslie C Baxter; Laura C Bell; C Chad Quarles
Journal:  J Cereb Blood Flow Metab       Date:  2021-08-20       Impact factor: 6.960

3.  Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma.

Authors:  Valentina Kouwenberg; Lusien van Santwijk; Frederick J A Meijer; Dylan Henssen
Journal:  Cancer Imaging       Date:  2022-06-17       Impact factor: 5.605

Review 4.  MRI biomarkers in neuro-oncology.

Authors:  Marion Smits
Journal:  Nat Rev Neurol       Date:  2021-06-20       Impact factor: 42.937

5.  Twenty Years On: RECIST as a Biomarker of Response in Solid Tumours an EORTC Imaging Group - ESOI Joint Paper.

Authors:  Laure Fournier; Lioe-Fee de Geus-Oei; Daniele Regge; Daniela-Elena Oprea-Lager; Melvin D'Anastasi; Luc Bidaut; Tobias Bäuerle; Egesta Lopci; Giovanni Cappello; Frederic Lecouvet; Marius Mayerhoefer; Wolfgang G Kunz; Joost J C Verhoeff; Damiano Caruso; Marion Smits; Ralf-Thorsten Hoffmann; Sofia Gourtsoyianni; Regina Beets-Tan; Emanuele Neri; Nandita M deSouza; Christophe M Deroose; Caroline Caramella
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

Review 6.  A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue.

Authors:  Jan Petr; Louise Hogeboom; Pavel Nikulin; Evita Wiegers; Gwen Schroyen; Jesper Kallehauge; Marek Chmelík; Patricia Clement; Ruben E Nechifor; Liviu-Andrei Fodor; Philip C De Witt Hamer; Frederik Barkhof; Cyril Pernet; Maarten Lequin; Sabine Deprez; Radim Jančálek; Henk J M M Mutsaerts; Francesca B Pizzini; Kyrre E Emblem; Vera C Keil
Journal:  MAGMA       Date:  2021-12-17       Impact factor: 2.310

7.  Radiotherapy Target Volume Definition in Newly Diagnosed High-Grade Glioma Using 18F-FET PET Imaging and Multiparametric MRI: An Inter Observer Agreement Study.

Authors:  Brieg Dissaux; Doria Mazouz Fatmi; Julien Ognard; Bastien Allard; Nathalie Keromnes; Amina Latreche; Amandine Lepeuve; Ulrike Schick; Vincent Bourbonne; Douraied Ben Salem; Gurvan Dissaux; Solène Querellou
Journal:  Tomography       Date:  2022-08-16

8.  Assessment of the hypervascularized fraction of glioblastomas using a volume analysis of dynamic susceptibility contrast-enhanced MRI may help to identify pseudoprogression.

Authors:  Margaux Roques; Isabelle Catalaa; Magali Raveneau; Justine Attal; Aurore Siegfried; Jean Darcourt; Christophe Cognard; Nicolas Menjot de Champfleur; Fabrice Bonneville
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

  8 in total

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