Positron emission tomography (PET) for prediction of glioma histology: protocol for an individual-level data meta-analysis of test performance.
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Published version
Author(s)
Trikalinos, Nikolaos A
Nihashi, Takashi
Evangelou, Evangelos
Terasawa, Teruhiko
Type
Journal Article
Abstract
INTRODUCTION: Gliomas, the most commonly diagnosed primary brain tumours, are associated with varied survivals based, in part, on their histological subtype. Therefore, accurate pretreatment tumour grading is essential for patient care and clinical trial design. METHODS AND ANALYSIS: We will perform an individual-level data meta-analysis of published studies to evaluate the ability of different types of positron emission tomography (PET) to differentiate high from low-grade gliomas. We will search PubMed and Scopus from inception through 30 July 2017 with no language restriction and full-text evaluation of potentially relevant articles. We will choose studies that assess PET using 18-Fludeoxyglucose (18F-FDG), l-[Methyl-()11C]Methionine (11C-MET), 18F-Fluoro-Ethyl-Tyrosine (18F-FET) or (18)F-Fluorothymidine (18F-FLT)for grading, verified with histological confirmation. We will include both prospective and retrospective studies. Bias will be assessed by two reviewers with the Quality Assessment of Diagnostic Accuracy Studies-2 tool and as per method described by Deekset al. ETHICS AND DISSEMINATION: Ethics approval was not applicable, as this is a meta-analytic study. Results of the analysis will be submitted for publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42017078649.
Date Issued
2018-02-17
Date Acceptance
2018-01-18
Citation
BMJ Open, 2018, 8 (2)
ISSN
2044-6055
Publisher
BMJ Publishing Group
Journal / Book Title
BMJ Open
Volume
8
Issue
2
Copyright Statement
© 2018 The Author(s). This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/29455169
PII: bmjopen-2017-020187
Subjects
glioma
meta-analysis
pet
Publication Status
Published
Coverage Spatial
England
Article Number
e020187