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Magnetic resonance imaging in radiotherapy treatment target volumes definition for brain tumours: a systematic review and meta-analysis

Published online by Cambridge University Press:  11 December 2017

Auwal Abubakar ,
Adamu D. Bojude ,
Aminu U. Usman ,
Idris Garba ,
Abasiama D. Obotiba ,
Mustapha Barde ,
Mutiat N. Miftaudeen  and
Umar Abubakar
Auwal Abubakar*
Affiliation:
Department of Medical Radiography, University of Maiduguri, Maiduguri, Nigeria
Adamu D. Bojude
Affiliation:
Department of Radiology, Gombe Sate University, Gombe, Nigeria
Aminu U. Usman
Affiliation:
Department of Radiology, Gombe Sate University, Gombe, Nigeria
Idris Garba
Affiliation:
Department of Medical Radiography, Bayero University Kano, Kano, Nigeria
Abasiama D. Obotiba
Affiliation:
Department of Medical Radiography, University of Maiduguri, Maiduguri, Nigeria
Mustapha Barde
Affiliation:
Department of Medical Radiography, Bayero University Kano, Kano, Nigeria
Mutiat N. Miftaudeen
Affiliation:
Department of Radiotherapy and Oncology, Usmanu Danfodiyo University Teaching Hospital, Sokkoto, Nigeria
Umar Abubakar
Affiliation:
Department of Radiography, Usmanu Danfodiyo University, Sokoto, Nigeria
*
Correspondence to: Auwal Abubakar, Department of Medical Radiography, College of Medical Sciences, University of Maiduguri, PMB 1069, Maiduguri, Borno State, Nigeria. Tel: +234 706 389 8690. E-mail: [email protected]
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Abstract

Purpose

The aim of this study is to establish clinical evidence regarding the use of magnetic resonance imaging (MRI) in target volume definition for radiotherapy treatment planning of brain tumours.

Methods

Primary studies were systematically retrieved from six electronic databases and other sources. Studies included were only those that quantitatively compared computed tomography (CT) and MRI in target volume definition for radiotherapy of brain tumours. Study characteristics and quality were assessed and the data were extracted from eligible studies. Effect estimates for each study was computed as mean percentage difference based on individual patient data where available. The included studies were then combined in meta-analysis using Review Manager (RevMan) software version 5.0.

Result

Five studies with a total number of 72 patients were included in this review. The quality of the studies was rated strong. The percentages mean differences of the studies were 7·47, 11·36, 30·70, 41·69 and −24·6% using CT as the baseline. The result of statistical analysis showed small-to-moderate heterogeneity; τ2=36·8; χ2=6·23; df=4 (p=0·18); I2=36%. The overall effect estimate was −1·85 [95% confidence interval (CI); −7·24, 10·94], Z=0·40 (p=0·069>0·5).

Conclusion

Brain tumour volumes measured using MRI-based method for radiotherapy treatment planning were larger compared with CT defined volumes but the difference lacks statistical significance.

Keywords

brain tumourscomputed tomographymagnetic resonance imagingmeta-analysisradiotherapy treatment planning
Type
Literature Review
Information
Journal of Radiotherapy in Practice , Volume 17 , Issue 3 , September 2018 , pp. 337 - 346
Copyright
© Cambridge University Press 2017 

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