Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours

Author:

Fetit Ahmed E.12,Novak Jan23,Peet Andrew C.23,Arvanitis Theodoros N.12

Affiliation:

1. Institute of Digital Healthcare, WMG; University of Warwick; Coventry UK

2. Birmingham Children's Hospital NHS Foundation Trust; Birmingham UK

3. School of Cancer Sciences; University of Birmingham; Birmingham UK

Funder

NIHR Research Professorship

Department of Health

Publisher

Wiley

Subject

Spectroscopy,Radiology Nuclear Medicine and imaging,Molecular Medicine

Reference33 articles.

1. CRUK Childhood cancer incidence statistics http://www.cancerresearchuk.org/cancer-info/cancerstats/childhoodcancer/incidence/childhood-cancer-incidence-statistics

2. The value of magnetic resonance spectroscopy in tumour imaging;Peet;Arch. Dis. Child.,2008

3. Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study;Vicente;Eur. J. Cancer,2013

4. Texture analysis: a review of neurologic MR imaging applications;Kassner;Am. J. Neuroradiol.,2010

5. Texture analysis of T1- and T2-weighted MR images and use of probabilistic neural network to discriminate posterior fossa tumours in children;Orphanidou-Vlachou;NMR Biomed.,2014

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