Literature DB >> 26597591

Incidence and prognostic significance of non-enhancing cortical signal abnormality in glioblastoma.

Arian Lasocki1,2, Frank Gaillard3,4, Mark Tacey5,6, Katharine Drummond7,8, Stephen Stuckey2,9.   

Abstract

INTRODUCTION: The presence of non-enhancing cortical signal abnormality is useful for differentiating between glioblastoma and metastatic disease, but its significance has not been studied. We aimed to determine the incidence and prognostic implications of non-enhancing cortical signal abnormality in glioblastomas.
METHODS: Patients with a new diagnosis of glioblastoma between September 2007 and December 2010 were identified. Only patients with at least fluid-attenuated inversion recovery (FLAIR) and post-contrast T1-weighted sequences were included. Pre-operative MRIs were reviewed together by two readers to determine whether there was evidence of non-enhancing cortical signal abnormality, based primarily on the FLAIR sequence. The results were compared with patient survival using both univariate and multivariate analysis.
RESULTS: One hundred fifty-one patients met the inclusion criteria. Seventy-seven patients (51%) had evidence of non-enhancing cortical signal abnormality. On both univariate and multivariate analysis, there was overall no significant difference in survival between patients with non-enhancing cortical signal abnormality and those without. Peripheral enhancing lesions (51 patients) were generally associated with the longest survival, but subgroup analysis suggested that non-enhancing signal abnormality was associated with worse survival in these patients (P = 0.004), conveying an intermediate prognosis.
CONCLUSIONS: Non-enhancing cortical signal abnormality is a common feature of glioblastomas, occurring in about half of cases. It does not affect survival overall, but appears to be associated with worse survival in the setting of a peripherally located enhancing lesion. This has the potential to alter surgical management.
© 2015 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  brain neoplasms; diagnostic imaging; glioblastoma; glioma; neuroimaging

Mesh:

Year:  2015        PMID: 26597591     DOI: 10.1111/1754-9485.12421

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  8 in total

Review 1.  Non-Contrast-Enhancing Tumor: A New Frontier in Glioblastoma Research.

Authors:  A Lasocki; F Gaillard
Journal:  AJNR Am J Neuroradiol       Date:  2019-04-04       Impact factor: 3.825

2.  The incidence and significance of multicentric noncontrast-enhancing lesions distant from a histologically-proven glioblastoma.

Authors:  Arian Lasocki; Frank Gaillard; Mark A Tacey; Katharine J Drummond; Stephen L Stuckey
Journal:  J Neurooncol       Date:  2016-07-13       Impact factor: 4.130

3.  18F-FDOPA PET and MRI characteristics correlate with degree of malignancy and predict survival in treatment-naïve gliomas: a cross-sectional study.

Authors:  Chirag B Patel; Elisa Fazzari; Ararat Chakhoyan; Jingwen Yao; Catalina Raymond; Huytram Nguyen; Jasmine Manoukian; Nhung Nguyen; Whitney Pope; Timothy F Cloughesy; Phioanh L Nghiemphu; Johannes Czernin; Albert Lai; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2018-04-20       Impact factor: 4.130

4.  Gyriform infiltration as imaging biomarker for molecular glioblastomas.

Authors:  Emmanuel Mesny; Marc Barritault; Cristina Izquierdo; Delphine Poncet; Anne d'Hombres; Jacques Guyotat; Emmanuel Jouanneau; Roxana Ameli; Jérôme Honnorat; David Meyronet; François Ducray
Journal:  J Neurooncol       Date:  2022-04-01       Impact factor: 4.506

5.  FLAIRectomy: Resecting beyond the Contrast Margin for Glioblastoma.

Authors:  Alexander F Haddad; Jacob S Young; Ramin A Morshed; Mitchel S Berger
Journal:  Brain Sci       Date:  2022-04-25

6.  Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival.

Authors:  Yizhou Wan; Roushanak Rahmat; Stephen J Price
Journal:  Acta Neurochir (Wien)       Date:  2020-07-13       Impact factor: 2.216

7.  A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors.

Authors:  Zhe Zhang; Zeping Jin; Dayuan Liu; Yang Zhang; Chunzhao Li; Yazhou Miao; Xiaohan Chi; Jie Feng; Yaming Wang; Shuyu Hao; Nan Ji
Journal:  Front Oncol       Date:  2020-12-02       Impact factor: 6.244

8.  Refinement of response assessment in neuro-oncology (RANO) using non-enhancing lesion type and contrast enhancement evolution pattern in IDH wild-type glioblastomas.

Authors:  Hye Hyeon Moon; Ho Sung Kim; Ji Eun Park; Young-Hoon Kim; Jeong Hoon Kim
Journal:  BMC Cancer       Date:  2021-06-01       Impact factor: 4.430

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.