Literature DB >> 15330185

Correlation of FDG-PET interpretation with survival in a cohort of glioma patients.

Francisco S Pardo1, Hannu J Aronen, Markus Fitzek, David N Kennedy, James Efird, Bruce R Rosen, Alan J Fischman.   

Abstract

Adult supratentorial gliomas continue to be one of the most challenging diagnostic and therapeutic problems for the neuro-oncologist. Despite a variety of therapeutic approaches, local control and survival rates remain disappointingly low, largely due to a relative inability to localize diffusely infiltrating glial tumor cells. FDG PET provides a relatively noninvasive method for studying glucose metabolism in normal and pathologic brain tissues. In order to assess the usefulness of FDG PET in a prospective cohort of patients, a group of 31 glial tumor patients underwent serial FDG PET scans at specified evaluation time points: initial or perioperative scan; scan following completion of radiation or chemotherapy; scan(s) at 3-month follow-up intervals until last follow-up exam or death. FDG PET score categories were established to provide a visual and clinically useful means for assessing tumor progression and response to treatment. Both progression-free and overall actuarial survival were determined. There were a total of 137 scans interpreted, on a semi-quantitative basis, by two board-certified radiologists. Patients with high FDG PET scores were more likely to progress clinically and demonstrated lower overall actuarial survival times and revealed statistically significant correlations with other determinants of survival (p < 0.05, Kaplan Meier). Further prospective studies on an expanded patient population are necessary in order to define the role of FDG PET, compared with conventional magnetic resonance imaging (MRI) and computed tomography (CT), in the evaluation and care of patients with malignant gliomas.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15330185

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  9 in total

1.  Independent prognostic value of pre-treatment 18-FDG-PET in high-grade gliomas.

Authors:  Cécile Colavolpe; Philippe Metellus; Julien Mancini; Maryline Barrie; Céline Béquet-Boucard; Dominique Figarella-Branger; Olivier Mundler; Olivier Chinot; Eric Guedj
Journal:  J Neurooncol       Date:  2011-12-15       Impact factor: 4.130

2.  Prognostic significance of parameters derived from co-registered 18F-fluorodeoxyglucose PET and contrast-enhanced MRI in patients with high-grade glioma.

Authors:  M J Paldino; T Z Wong; D A Reardon; H S Friedman; D P Barboriak
Journal:  Br J Radiol       Date:  2010-10-19       Impact factor: 3.039

3.  Evaluation of treatment-associated inflammatory response on diffusion-weighted magnetic resonance imaging and 2-[18F]-fluoro-2-deoxy-D-glucose-positron emission tomography imaging biomarkers.

Authors:  Craig J Galbán; Mahaveer S Bhojani; Kuei C Lee; Charles R Meyer; Marcian E Van Dort; Kyle K Kuszpit; Robert A Koeppe; Rajesh Ranga; Bradford A Moffat; Timothy D Johnson; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Clin Cancer Res       Date:  2010-02-16       Impact factor: 12.531

4.  Hypoxic glucose metabolism in glioblastoma as a potential prognostic factor.

Authors:  Takuya Toyonaga; Shigeru Yamaguchi; Kenji Hirata; Kentaro Kobayashi; Osamu Manabe; Shiro Watanabe; Shunsuke Terasaka; Hiroyuki Kobayashi; Naoya Hattori; Tohru Shiga; Yuji Kuge; Shinya Tanaka; Yoichi M Ito; Nagara Tamaki
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-10-18       Impact factor: 9.236

5.  A novel, integrated PET-guided MRS technique resulting in more accurate initial diagnosis of high-grade glioma.

Authors:  Ellen S Kim; Martin Satter; Marilyn Reed; Ronald Fadell; Arash Kardan
Journal:  Neuroradiol J       Date:  2016-04-27

6.  Conventional MRI cannot predict survival in childhood diffuse intrinsic pontine glioma.

Authors:  Darren Hargrave; Nathaniel Chuang; Eric Bouffet
Journal:  J Neurooncol       Date:  2007-10-02       Impact factor: 4.130

7.  Genetic and metabolic predictors of chemosensitivity in oligodendroglial neoplasms.

Authors:  C Walker; B Haylock; D Husband; K A Joyce; D Fildes; M D Jenkinson; T Smith; J Broome; K Kopitzki; D G du Plessis; J Prosser; S Vinjamuri; P C Warnke
Journal:  Br J Cancer       Date:  2006-10-10       Impact factor: 7.640

Review 8.  Emerging treatment strategies for glioblastoma multiforme.

Authors:  Steven K Carlsson; Shaun P Brothers; Claes Wahlestedt
Journal:  EMBO Mol Med       Date:  2014-11       Impact factor: 12.137

Review 9.  Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy - detecting illusive disease, defining response.

Authors:  Raymond Y Huang; Martha R Neagu; David A Reardon; Patrick Y Wen
Journal:  Front Neurol       Date:  2015-02-23       Impact factor: 4.003

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.