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Positron emission tomography (PET) for prediction of glioma histology: protocol for an individual-level data meta-analysis of test performance.

Positron emission tomography (PET) for prediction of glioma histology: protocol for an individual-level data meta-analysis of test performance.
Author Information (click to view)

Trikalinos NA, Nihashi T, Evangelou E, Terasawa T,


Trikalinos NA, Nihashi T, Evangelou E, Terasawa T, (click to view)

Trikalinos NA, Nihashi T, Evangelou E, Terasawa T,

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BMJ open 2018 02 178(2) e020187 doi 10.1136/bmjopen-2017-020187
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 Deeks.

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.

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