Literature DB >> 31592732

MRI Atlas of IDH Wild-Type Supratentorial Glioblastoma: Probabilistic Maps of Phenotype, Management, and Outcomes.

Alexandre Roux1, Pauline Roca1, Myriam Edjlali1, Kanako Sato1, Marc Zanello1, Edouard Dezamis1, Pietro Gori1, Stéphanie Lion1, Ariane Fleury1, Frédéric Dhermain1, Jean-François Meder1, Fabrice Chrétien1, Emmanuèle Lechapt1, Pascale Varlet1, Catherine Oppenheim1, Johan Pallud1.   

Abstract

Background Tumor location is a main prognostic parameter in patients with glioblastoma. Probabilistic MRI-based brain atlases specifying the probability of tumor location associated with important demographic, clinical, histomolecular, and management data are lacking for isocitrate dehydrogenase (IDH) wild-type glioblastomas. Purpose To correlate glioblastoma location with clinical phenotype, surgical management, and outcomes by using a probabilistic analysis in a three-dimensional (3D) MRI-based atlas. Materials and Methods This retrospective study included all adults surgically treated for newly diagnosed IDH wild-type supratentorial glioblastoma in a tertiary adult surgical neuro-oncology center (2006-2016). Semiautomated tumor segmentation and spatial normalization procedures to build a 3D MRI-based atlas were validated. The authors performed probabilistic analyses by using voxel-based lesion symptom mapping technology. The Liebermeister test was used for binary data, and the generalized linear model was used for continuous data. Results A total of 392 patients (mean age, 61 years ± 13; 233 men) were evaluated. The authors identified the preferential location of glioblastomas according to subventricular zone, age, sex, clinical presentation, revised Radiation Therapy Oncology Group-Recursive Partitioning Analysis class, Karnofsky performance status, O6-methylguanine DNA methyltransferase promoter methylation status, surgical management, and survival. The superficial location distant from the eloquent area was more likely associated with a preserved functional status at diagnosis (348 of 392 patients [89%], P < .05), a large surgical resection (173 of 392 patients [44%], P < .05), and prolonged overall survival (163 of 334 patients [49%], P < .05). In contrast, deep location and location within eloquent brain areas were more likely associated with an impaired functional status at diagnosis (44 of 392 patients [11%], P < .05), a neurologic deficit (282 of 392 patients [72%], P < .05), treatment with biopsy only (183 of 392 patients [47%], P < .05), and shortened overall survival (171 of 334 patients [51%], P < .05). Conclusion The authors identified the preferential location of isocitrate dehydrogenase wild-type glioblastomas according to parameters of interest and provided an image-based integration of multimodal information impacting survival results. This suggests the role of glioblastoma location as a surrogate and multimodal parameter integrating several known prognostic factors. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Huang in this issue.

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Year:  2019        PMID: 31592732     DOI: 10.1148/radiol.2019190491

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

1.  High-grade gliomas in adolescents and young adults highlight histomolecular differences from their adult and pediatric counterparts.

Authors:  Alexandre Roux; Johan Pallud; Raphaël Saffroy; Myriam Edjlali-Goujon; Marie-Anne Debily; Nathalie Boddaert; Marc Sanson; Stéphanie Puget; Steven Knafo; Clovis Adam; Thierry Faillot; Dominique Cazals-Hatem; Emmanuel Mandonnet; Marc Polivka; Georges Dorfmüller; Aurélie Dauta; Mathilde Desplanques; Albane Gareton; Mélanie Pages; Arnault Tauziede-Espariat; Jacques Grill; Franck Bourdeaut; François Doz; Frédéric Dhermain; Karima Mokhtari; Fabrice Chretien; Dominique Figarella-Branger; Pascale Varlet
Journal:  Neuro Oncol       Date:  2020-08-17       Impact factor: 12.300

2.  Preferential tumor localization in relation to 18F-FDOPA uptake for lower-grade gliomas.

Authors:  Hiroyuki Tatekawa; Hiroyuki Uetani; Akifumi Hagiwara; Jingwen Yao; Talia C Oughourlian; Issei Ueda; Catalina Raymond; Albert Lai; Timothy F Cloughesy; Phioanh L Nghiemphu; Linda M Liau; Shadfar Bahri; Whitney B Pope; Noriko Salamon; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2021-03-11       Impact factor: 4.130

3.  Survival of glioblastoma in relation to tumor location: a statistical tumor atlas of a population-based cohort.

Authors:  Even Hovig Fyllingen; Lars Eirik Bø; Ingerid Reinertsen; Asgeir Store Jakola; Lisa Millgård Sagberg; Erik Magnus Berntsen; Øyvind Salvesen; Ole Solheim
Journal:  Acta Neurochir (Wien)       Date:  2021-03-20       Impact factor: 2.216

4.  Topographical Mapping of 436 Newly Diagnosed IDH Wildtype Glioblastoma With vs. Without MGMT Promoter Methylation.

Authors:  Fatih Incekara; Sebastian R van der Voort; Hendrikus J Dubbink; Peggy N Atmodimedjo; Rishi Nandoe Tewarie; Geert Lycklama; Arnaud J P E Vincent; Johan M Kros; Stefan Klein; Martin van den Bent; Marion Smits
Journal:  Front Oncol       Date:  2020-05-12       Impact factor: 6.244

5.  Glioblastoma Distance From the Subventricular Neural Stem Cell Niche Does Not Correlate With Survival.

Authors:  Akshitkumar M Mistry; Nishit Mummareddy; Sanjana Salwi; Larry T Davis; Rebecca A Ihrie
Journal:  Front Oncol       Date:  2020-12-11       Impact factor: 6.244

6.  Age influences the distribution of diffuse gliomas.

Authors:  Alexandre Roux; Pascale Varlet; Johan Pallud
Journal:  Aging (Albany NY)       Date:  2021-08-09       Impact factor: 5.682

7.  Feasibility, Safety and Impact on Overall Survival of Awake Resection for Newly Diagnosed Supratentorial IDH-Wildtype Glioblastomas in Adults.

Authors:  Alessandro Moiraghi; Alexandre Roux; Sophie Peeters; Jean-Baptiste Pelletier; Marwan Baroud; Bénédicte Trancart; Catherine Oppenheim; Emmanuèle Lechapt; Chiara Benevello; Eduardo Parraga; Pascale Varlet; Fabrice Chrétien; Edouard Dezamis; Marc Zanello; Johan Pallud
Journal:  Cancers (Basel)       Date:  2021-06-10       Impact factor: 6.575

8.  Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET.

Authors:  Hiroyuki Tatekawa; Akifumi Hagiwara; Hiroyuki Uetani; Shadfar Bahri; Catalina Raymond; Albert Lai; Timothy F Cloughesy; Phioanh L Nghiemphu; Linda M Liau; Whitney B Pope; Noriko Salamon; Benjamin M Ellingson
Journal:  Cancer Imaging       Date:  2021-03-10       Impact factor: 3.909

  8 in total

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