Literature DB >> 27515717

The Added Prognostic Value of Metabolic Tumor Size on FDG-PET at First Suspected Recurrence of Glioblastoma Multiforme.

Gloria C Chiang1, Naveen Galla1, Richard Ferraro1, Ilhami Kovanlikaya1.   

Abstract

BACKGROUND AND
PURPOSE: Patients with glioblastoma multiforme (GBM) face a dismal prognosis, with an average survival of 6-7 months after recurrence. There remains no consensus for managing these patients due to the heterogeneity of these tumors. Imaging may affect treatment decisions by helping to stratify patient prognosis. The purpose of this analysis was to evaluate the added utility of 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) over magnetic resonance (MR) imaging metrics in predicting survival.
METHODS: Forty-four consecutive patients who underwent FDG-PET for first recurrence of GBM were included in this analysis. Tumor sizes, using cross products, and volumes on FDG-PET and MRI, maximum standardized uptake value (SUV), minimum apparent diffusion coefficient (ADC) value, presence of satellite lesions, presence of multifocal lesions, and presence of bilateral tumor were considered as prognostic variables. Survival was assessed using Cox hazard and logistic regression models based on the time interval between the PET scan and the patient's date of death.
RESULTS: Tumor volumes on FDG-PET (P = .046), tumor cross products on FDG-PET (P = .017), and tumor cross products on MRI (P = .031) were significant prognostic variables, adjusting for the extent of the initial resection. Enhancing tumor volume, tumor cross product on a T2-weighted MRI sequence, maximum SUV on FDG-PET, minimum ADC value, presence of satellites, multifocality, and bilaterality were not prognostic (P > .5). Prognostic accuracy of predicting short survival increased from 58% with tumor cross product on MRI alone to 74% after including tumor cross product from PET.
CONCLUSIONS: Tumor size on FDG-PET adds prognostic information to enhancing tumor size on MRI at first suspected recurrence of GBM.
Copyright © 2016 by the American Society of Neuroimaging.

Entities:  

Keywords:  Brain tumor; PET; imaging

Mesh:

Substances:

Year:  2016        PMID: 27515717     DOI: 10.1111/jon.12386

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  4 in total

1.  Regarding "Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study".

Authors:  A D Schweitzer; G C Chiang; J Ivanidze; H Baradaran; R J Young; R D Zimmerman
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-01       Impact factor: 3.825

Review 2.  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 3.  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 4.  Magnetic Resonance Spectroscopy, Positron Emission Tomography and Radiogenomics-Relevance to Glioma.

Authors:  Gloria C Chiang; Ilhami Kovanlikaya; Changho Choi; Rohan Ramakrishna; Rajiv Magge; Dikoma C Shungu
Journal:  Front Neurol       Date:  2018-02-05       Impact factor: 4.003

  4 in total

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