Literature DB >> 21681688

Neuroradiological response criteria for high-grade gliomas.

K Lutz1, A Radbruch, B Wiestler, P Bäumer, W Wick, M Bendszus.   

Abstract

The recently introduced new response criteria of the response assessment in neuro-oncology (RANO) working group and its clinical implications are the topic of this article. Establishing this working group as a work-in-progress platform and its first report, the RANO criteria represent an important step forward in the accurate assessment of response to therapy in patients with malignant gliomas not only in clinical trials but also in daily practice. Anti-angiogenic therapy and other new treatment modalities have increased the incidence and awareness of novel imaging phenomena, such as pseudoprogression and pseudoresponse not only within clinical trials. The new RANO criteria also take clinical parameters, such as steroid medication and neurological symptoms into account. Neuroradiologists and neuro-oncologists need to be aware of and experienced in applying these new criteria to correctly assess the response to treatment in patients with malignant gliomas. Further research is needed to study new imaging techniques, such as perfusion and diffusion-weighted imaging and to investigate and incorporate these for routine tumor response criteria.

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Year:  2011        PMID: 21681688     DOI: 10.1007/s00062-011-0080-7

Source DB:  PubMed          Journal:  Clin Neuroradiol        ISSN: 1869-1439            Impact factor:   3.649


  21 in total

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Authors:  Tracy T Batchelor; Dan G Duda; Emmanuelle di Tomaso; Marek Ancukiewicz; Scott R Plotkin; Elizabeth Gerstner; April F Eichler; Jan Drappatz; Fred H Hochberg; Thomas Benner; David N Louis; Kenneth S Cohen; Houng Chea; Alexis Exarhopoulos; Jay S Loeffler; Marsha A Moses; Percy Ivy; A Gregory Sorensen; Patrick Y Wen; Rakesh K Jain
Journal:  J Clin Oncol       Date:  2010-05-10       Impact factor: 44.544

2.  Comment to: Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma: pitfalls in perfusion MRI in brain tumors : Tsien C, Galbán CJ, Chenevert TL, Johnson TD, Hamstra DA, Sundgren PC, Junck L, Meyer CR, Rehemtulla A, Lawrence T, Ross BD. J Clin Oncol. 2010;28:2293-9.

Authors:  A Radbruch; M Bendszus; W Wick; S Heiland
Journal:  Clin Neuroradiol       Date:  2010-08       Impact factor: 3.649

3.  Perfusion magnetic resonance imaging for parametric response maps in tumors: is it really that easy?

Authors:  Sabine Heiland; Wolfgang Wick; Martin Bendszus
Journal:  J Clin Oncol       Date:  2010-09-13       Impact factor: 44.544

4.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

Review 5.  New advances that enable identification of glioblastoma recurrence.

Authors:  Isaac Yang; Manish K Aghi
Journal:  Nat Rev Clin Oncol       Date:  2009-10-06       Impact factor: 66.675

6.  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

7.  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

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.  MGMT promoter methylation status can predict the incidence and outcome of pseudoprogression after concomitant radiochemotherapy in newly diagnosed glioblastoma patients.

Authors:  Alba A Brandes; Enrico Franceschi; Alicia Tosoni; Valeria Blatt; Annalisa Pession; Giovanni Tallini; Roberta Bertorelle; Stefania Bartolini; Fabio Calbucci; Alvaro Andreoli; Giampiero Frezza; Marco Leonardi; Federica Spagnolli; Mario Ermani
Journal:  J Clin Oncol       Date:  2008-05-01       Impact factor: 44.544

10.  Bevacizumab plus irinotecan in recurrent glioblastoma multiforme.

Authors:  James J Vredenburgh; Annick Desjardins; James E Herndon; Jennifer Marcello; David A Reardon; Jennifer A Quinn; Jeremy N Rich; Sith Sathornsumetee; Sridharan Gururangan; John Sampson; Melissa Wagner; Leighann Bailey; Darell D Bigner; Allan H Friedman; Henry S Friedman
Journal:  J Clin Oncol       Date:  2007-10-20       Impact factor: 44.544

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  8 in total

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Review 2.  Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patients.

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3.  Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas.

Authors:  Thomas Pyka; Jens Gempt; Daniela Hiob; Florian Ringel; Jürgen Schlegel; Stefanie Bette; Hans-Jürgen Wester; Bernhard Meyer; Stefan Förster
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-29       Impact factor: 9.236

Review 4.  Standards of care for treatment of recurrent glioblastoma--are we there yet?

Authors:  Michael Weller; Timothy Cloughesy; James R Perry; Wolfgang Wick
Journal:  Neuro Oncol       Date:  2012-11-07       Impact factor: 12.300

5.  Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma.

Authors:  Thomas C Booth; Timothy J Larkin; Yinyin Yuan; Mikko I Kettunen; Sarah N Dawson; Daniel Scoffings; Holly C Canuto; Sarah L Vowler; Heide Kirschenlohr; Michael P Hobson; Florian Markowetz; Sarah Jefferies; Kevin M Brindle
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

6.  Tumor-initiating cell frequency is relevant for glioblastoma aggressiveness.

Authors:  Cristina Richichi; Daniela Osti; Massimiliano Del Bene; Lorenzo Fornasari; Monica Patanè; Bianca Pollo; Francesco DiMeco; Giuliana Pelicci
Journal:  Oncotarget       Date:  2016-11-01

7.  Pseudoprogression and pseudoresponse in the management of high-grade glioma : optimal decision timing according to the response assessment of the neuro-oncology working group.

Authors:  Ji Hyun Chang; Chae-Yong Kim; Byung Se Choi; Yu Jung Kim; Jae Sung Kim; In Ah Kim
Journal:  J Korean Neurosurg Soc       Date:  2014-01-31

8.  Fully automated analysis combining [18F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression.

Authors:  K J Paprottka; S Kleiner; C Preibisch; F Kofler; F Schmidt-Graf; C Delbridge; D Bernhardt; S E Combs; J Gempt; B Meyer; C Zimmer; B H Menze; I Yakushev; J S Kirschke; B Wiestler
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06-25       Impact factor: 9.236

  8 in total

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