Andrew C Peet
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Explore the profile of Andrew C Peet including associated specialties, affiliations and a list of published articles.
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85
Citations
2023
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Recent Articles
11.
Manias K, Gill S, MacPherson L, Oates A, Pinkey B, Davies P, et al.
Neurooncol Pract
. 2019 Dec;
6(6):428-437.
PMID: 31832213
Background: H-magnetic resonance spectroscopy (MRS) facilitates noninvasive diagnosis of pediatric brain tumors by providing metabolite profiles. Prospective studies of diagnostic accuracy and comparisons with conventional MRI are lacking. We aimed...
12.
Huang Y, Liu Y, Zhao D, Liu B, Zhang H, Huang Z, et al.
Sleep Med
. 2019 Sep;
62:53-58.
PMID: 31557687
Objective: To explore the small-world properties of brain functional networks in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS) to aid diagnosis. Methods: A total of 29 OSAHS patients and 26...
13.
Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers
Bennett C, Gill S, Kohe S, Wilson M, Davies N, Arvanitis T, et al.
Sci Rep
. 2019 Jul;
9(1):10473.
PMID: 31324817
Brain tumours are the most common cause of cancer death in children. Molecular studies have greatly improved our understanding of these tumours but tumour metabolism is underexplored. Metabolites measured in...
14.
Wilson M, Andronesi O, Barker P, Bartha R, Bizzi A, Bolan P, et al.
Magn Reson Med
. 2019 Mar;
82(2):527-550.
PMID: 30919510
Proton MRS ( H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR...
15.
Metcalfe-Smith E, Meeus E, Novak J, Dehghani H, Peet A, Zarinabad N
IEEE Trans Biomed Eng
. 2019 Jan;
66(9):2617-2628.
PMID: 30676937
Objective: A new method for fitting diffusion-weighted magnetic resonance imaging (DW-MRI) data composed of an unknown number of multi-exponential components is presented and evaluated. Methods: The auto-regressive discrete acquisition points...
16.
Carlin D, Babourina-Brooks B, Arvanitis T, Wilson M, Peet A
MAGMA
. 2018 Nov;
32(2):247-258.
PMID: 30460431
Objective: To develop and assess a short-duration JPRESS protocol for detection of overlapping metabolite biomarkers and its application to paediatric brain tumours at 3 Tesla. Materials And Methods: The short-duration...
17.
Novak J, Withey S, Lateef S, MacPherson L, Pinkey B, Peet A
Br J Radiol
. 2018 Oct;
92(1094):20170872.
PMID: 30358415
Objective:: To investigate correlations between MRI perfusion metrics measured by dynamic susceptibility contrast and arterial spin labelling in paediatric brain tumours. Methods:: 15 paediatric patients with brain tumours were scanned...
18.
Bennett C, Kohe S, Gill S, Davies N, Wilson M, Storer L, et al.
Sci Rep
. 2018 Aug;
8(1):11992.
PMID: 30097636
Paediatric brain tumors are becoming well characterized due to large genomic and epigenomic studies. Metabolomics is a powerful analytical approach aiding in the characterization of tumors. This study shows that...
19.
Manias K, Harris L, Davies N, Natarajan K, MacPherson L, Foster K, et al.
Pediatr Radiol
. 2018 Aug;
48(11):1630-1641.
PMID: 30062569
Background: A tool for diagnosing childhood cerebellar tumours using magnetic resonance (MR) spectroscopy peak height measurement has been developed based on retrospective analysis of single-centre data. Objective: To determine the...
20.
Babourina-Brooks B, Kohe S, Gill S, MacPherson L, Wilson M, Davies N, et al.
Oncotarget
. 2018 May;
9(27):18858-18868.
PMID: 29721167
Paediatric brain tumours have a high mortality rate and are the most common solid tumour of childhood. Identification of high risk patients may allow for better treatment stratification. Magnetic Resonance...