Literature DB >> 28234553

FDG PET/MR Imaging Coregistration Helps Predict Survival in Patients with Glioblastoma and Radiologic Progression after Standard of Care Treatment.

Carlos Leiva-Salinas1, David Schiff1, Lucia Flors1, James T Patrie1, Patrice K Rehm1.   

Abstract

Purpose To determine the correlation between metabolic activity at fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography (PET) and survival in patients with glioblastoma and suspected progression at posttherapy magnetic resonance (MR) imaging. Materials and Methods The authors retrospectively examined the relationship between metabolic activity at FDG PET in the residual lesion identified at brain MR imaging and survival time in 56 patients with glioblastoma who were treated with postoperative concurrent radiation and temozolomide therapy and who underwent FDG PET/computed tomography because of radiologic deterioration at follow-up MR imaging between 2006 and 2015. A normalized metric of metabolic activity in the residual lesion (standardized uptake value ratio [SUVr]) was calculated as the maximum standardized uptake value (SUVmax) in the tumor relative to that in healthy white matter. The primary end point of the study was survival time from PET. Patients were stratified according to SUVr. Comparisons of risk for death between subgroups were made with the log-hazard ratio of the Cox proportional hazard model. Results There was a significant association between overall survival and SUVr in the residual lesion (P = .006), and a survival benefit was observed in patients with SUVr of less than 1.7, who had a median survival time of 23.1 months (95% confidence interval [CI]: 12.7, 38.9), which was significantly longer than that in patients with an SUVr of 2.0 to less than 2.5 and those with an SUVr of at least 2.5, who had a median survival time of 10.1 (95% CI: 2.4, 15.9; P = .008) and 7.5 (95% CI: 3.9, 9.7; P < .001) months, respectively. Conclusion Patients with glioblastoma whose posttherapy MR images showed a residual lesion with high relative metabolic activity at FDG PET had a shorter survival time than did those with low activity at FDG PET. © RSNA, 2016.

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Year:  2016        PMID: 28234553     DOI: 10.1148/radiol.2016161172

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


  7 in total

1.  Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.

Authors:  Guan-Min Quan; Yong-Li Zheng; Tao Yuan; Jian-Ming Lei
Journal:  J Neurooncol       Date:  2018-03-21       Impact factor: 4.130

2.  Congress of Neurological Surgeons systematic review and evidence-based guidelines update on the role of imaging in the management of progressive glioblastoma in adults.

Authors:  Derek Richard Johnson; Chad Allan Glenn; Ramin Javan; Jeffrey James Olson
Journal:  J Neurooncol       Date:  2021-10-25       Impact factor: 4.130

Review 3.  Neuro-Oncology Practice Clinical Debate: FDG PET to differentiate glioblastoma recurrence from treatment-related changes.

Authors:  Ephraim E Parent; Derek R Johnson; Tyler Gleason; Javier E Villanueva-Meyer
Journal:  Neurooncol Pract       Date:  2021-05-04

Review 4.  The biology and mathematical modelling of glioma invasion: a review.

Authors:  J C L Alfonso; K Talkenberger; M Seifert; B Klink; A Hawkins-Daarud; K R Swanson; H Hatzikirou; A Deutsch
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

Review 5.  Contribution of Different Positron Emission Tomography Tracers in Glioma Management: Focus on Glioblastoma.

Authors:  Aurélie Moreau; Olivia Febvey; Thomas Mognetti; Didier Frappaz; David Kryza
Journal:  Front Oncol       Date:  2019-11-01       Impact factor: 6.244

Review 6.  Dynamic FDG-PET demonstration of functional brain abnormalities.

Authors:  Mark Quigg; Bijoy Kundu
Journal:  Ann Clin Transl Neurol       Date:  2022-09-07       Impact factor: 5.430

7.  Normalized Subtraction of Serial Brain Magnetic Resonance Images and Fludeoxyglucose-Positron Emission Tomography Images for Tumor Treatment Monitoring: Case Report and Method Description.

Authors:  Nghi C Nguyen; Medhat M Osman
Journal:  J Clin Imaging Sci       Date:  2018-06-28
  7 in total

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