Literature DB >> 28842741

Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma.

Fatima Tensaouti1, Jonathan Khalifa2, Amélie Lusque3, Benjamin Plas4, Jean Albert Lotterie5,6, Isabelle Berry5,6, Anne Laprie5,2, Elizabeth Cohen-Jonathan Moyal2,7, Vincent Lubrano5,4.   

Abstract

PURPOSE: The purpose of the study was to evaluate Response Assessment in Neuro-Oncology (RANO) criteria in glioblastoma multiforme (GBM), with respect to the Macdonald criteria and changes in contrast-enhancement (CE) volume. Related variations in relative cerebral blood volume (rCBV) were investigated.
METHODS: Forty-three patients diagnosed between 2006 and 2010 were included. All underwent surgical resection, followed by temozolomide-based chemoradiation. MR images were retrospectively reviewed. Times to progression (TTPs) according to RANO criteria, Macdonald criteria and increased CE volume (CE-3D) were compared, and the percentage change in the 75th percentile of rCBV (rCBV75) was evaluated.
RESULTS: After a median follow-up of 22.7 months, a total of 39 patients had progressed according to RANO criteria, 32 according to CE-3D, and 42 according to Macdonald. Median TTPs were 6.4, 9.3, and 6.6 months, respectively. Overall agreement was 79.07% between RANO and CE-3D and 93.02% between RANO and Macdonald. The mean percentage change in rCBV75 at RANO progression onset was over 73% in 87.5% of patients.
CONCLUSIONS: In conclusion, our findings suggest that CE-3D criterion is not yet suitable to assess progression in routine clinical practice. Indeed, the accurate threshold is still not well defined. To date, in our opinion, early detection of disease progression by RANO combined with advanced MRI imaging techniques like MRI perfusion and diffusion remains the best way to assess disease progression. Further investigations that would examine the impact of treatment modifications after progression determined by different criteria on overall survival would be of great value.

Entities:  

Keywords:  Contrast enhancement; Criteria; Disease progression; Glioblastoma; Perfusion magnetic resonance imaging

Mesh:

Substances:

Year:  2017        PMID: 28842741     DOI: 10.1007/s00234-017-1899-7

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  31 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging measurements.

Authors:  L S Hu; L C Baxter; K A Smith; B G Feuerstein; J P Karis; J M Eschbacher; S W Coons; P Nakaji; R F Yeh; J Debbins; J E Heiserman
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-04       Impact factor: 3.825

3.  Response criteria for phase II studies of supratentorial malignant glioma.

Authors:  D R Macdonald; T L Cascino; S C Schold; J G Cairncross
Journal:  J Clin Oncol       Date:  1990-07       Impact factor: 44.544

4.  Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma.

Authors:  Christina Tsien; Craig J Galbán; Thomas L Chenevert; Timothy D Johnson; Daniel A Hamstra; Pia C Sundgren; Larry Junck; Charles R Meyer; Alnawaz Rehemtulla; Theodore Lawrence; Brian D Ross
Journal:  J Clin Oncol       Date:  2010-04-05       Impact factor: 44.544

5.  ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma.

Authors:  Martha Nowosielski; Wolfgang Recheis; Georg Goebel; Ozgür Güler; Gerd Tinkhauser; Herwig Kostron; Michael Schocke; Thaddaeus Gotwald; Günther Stockhammer; Markus Hutterer
Journal:  Neuroradiology       Date:  2010-12-02       Impact factor: 2.804

6.  Glioblastoma: a method for predicting response to antiangiogenic chemotherapy by using MR perfusion imaging--pilot study.

Authors:  Rahul N Sawlani; Jeffrey Raizer; Sandra W Horowitz; Wanyong Shin; Sean A Grimm; James P Chandler; Robert Levy; Christopher Getch; Timothy J Carroll
Journal:  Radiology       Date:  2010-05       Impact factor: 11.105

7.  Corticosteroid-induced magnetic resonance imaging changes in patients with recurrent malignant glioma.

Authors:  C J Watling; D H Lee; D R Macdonald; J G Cairncross
Journal:  J Clin Oncol       Date:  1994-09       Impact factor: 44.544

8.  End point assessment in gliomas: novel treatments limit usefulness of classical Macdonald's Criteria.

Authors:  Martin J van den Bent; Michael A Vogelbaum; Patrick Y Wen; David R Macdonald; Susan M Chang
Journal:  J Clin Oncol       Date:  2009-05-18       Impact factor: 44.544

9.  Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial.

Authors:  Roger Stupp; Monika E Hegi; Warren P Mason; Martin J van den Bent; Martin J B Taphoorn; Robert C Janzer; Samuel K Ludwin; Anouk Allgeier; Barbara Fisher; Karl Belanger; Peter Hau; Alba A Brandes; Johanna Gijtenbeek; Christine Marosi; Charles J Vecht; Karima Mokhtari; Pieter Wesseling; Salvador Villa; Elizabeth Eisenhauer; Thierry Gorlia; Michael Weller; Denis Lacombe; J Gregory Cairncross; René-Olivier Mirimanoff
Journal:  Lancet Oncol       Date:  2009-03-09       Impact factor: 41.316

Review 10.  Advances in MRI assessment of gliomas and response to anti-VEGF therapy.

Authors:  Whitney B Pope; Jonathan R Young; Benjamin M Ellingson
Journal:  Curr Neurol Neurosci Rep       Date:  2011-06       Impact factor: 5.081

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  4 in total

1.  Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa El-Serougy; Mohamed Abdelsalam; Gada Gaballa; Mona Talaat
Journal:  Neuroradiology       Date:  2017-12-07       Impact factor: 2.804

2.  Inter-rater agreement in glioma segmentations on longitudinal MRI.

Authors:  M Visser; D M J Müller; R J M van Duijn; M Smits; N Verburg; E J Hendriks; R J A Nabuurs; J C J Bot; R S Eijgelaar; M Witte; M B van Herk; F Barkhof; P C de Witt Hamer; J C de Munck
Journal:  Neuroimage Clin       Date:  2019-02-22       Impact factor: 4.881

3.  Perfusion Magnetic Resonance Imaging Changes in Normal Appearing Brain Tissue after Radiotherapy in Glioblastoma Patients may Confound Longitudinal Evaluation of Treatment Response.

Authors:  Markus Fahlström; Erik Blomquist; Tufve Nyholm; Elna-Marie Larsson
Journal:  Radiol Oncol       Date:  2018-06-06       Impact factor: 4.214

4.  MRI Response Assessment in Glioblastoma Patients Treated with Dendritic-Cell-Based Immunotherapy.

Authors:  Johanna Heugenhauser; Malik Galijasevic; Stephanie Mangesius; Georg Goebel; Johanna Buchroithner; Friedrich Erhart; Josef Pichler; Georg Widhalm; Günther Stockhammer; Sarah Iglseder; Christian F Freyschlag; Stefan Oberndorfer; Karin Bordihn; Gord von Campe; Thomas Czech; Birgit Surböck; Tadeja Urbanic Purkart; Christine Marosi; Thomas Felzmann; Martha Nowosielski
Journal:  Cancers (Basel)       Date:  2022-03-20       Impact factor: 6.639

  4 in total

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