Peter Thomson
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Explore the profile of Peter Thomson including associated specialties, affiliations and a list of published articles.
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111
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1247
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Recent Articles
11.
Edgar B, Kingsmore D, Aitken E, Calder F, Franchin M, Geddes C, et al.
BMJ Open
. 2023 Jul;
13(7):e071646.
PMID: 37419647
Introduction: Decisions regarding the optimal vascular access for haemodialysis patients are becoming increasingly complex, and the provision of vascular access is open to variations in systems of care as well...
12.
Alkandari A, Ho J, Choi S, Thomson P
BMC Cancer
. 2023 Jun;
23(1):503.
PMID: 37270559
Objectives: To investigate the risk and prognosis of oral squamous cell carcinoma (SCC) between Indigenous and non-Indigenous populations of Queensland. Materials And Methods: Retrospective analysis of data from the Queensland...
13.
Wang W, Zhang Q, Thomson P, Sharma D, Ramamurthy P, Choi S
J Oral Pathol Med
. 2023 May;
52(7):628-636.
PMID: 37247328
Background: Nomograms are graphical calculating devices that predict response to treatment during cancer management. Oral squamous cell carcinoma (OSCC) is a lethal and deforming disease of rising incidence and global...
14.
Kingsmore D, White R, Mestres G, Stephens M, Calder F, Papadakis G, et al.
J Vasc Access
. 2023 Mar;
25(4):1069-1080.
PMID: 36905207
Although randomised controlled trials (RCT) are considered the optimal form of evidence, there are relatively few in surgery. Surgical RCT are particularly likely to be discontinued with poor recruitment cited...
15.
Sun A, Sharma D, Choi S, Ramamurthy P, Thomson P
J Oral Pathol Med
. 2023 Feb;
52(4):328-334.
PMID: 36852511
Background: Oral cancer, predominantly squamous cell carcinoma (SCC), is a lethal and deforming disease of rising incidence. Although largely preventable by eliminating harmful tobacco and alcohol risk factor behaviour, 5-year...
16.
Curtin J, Thomson P, Wong G, Lam A, Choi S
Cancers (Basel)
. 2023 Feb;
15(3).
PMID: 36765549
Importance: The extent to which surgical management of oral squamous cell carcinoma (OSCC) disseminates cancer is currently unknown. Objective: To determine changes in numbers of malignant cells released into systemic...
17.
Adeoye J, Akinshipo A, Koohi-Moghadam M, Thomson P, Su Y
Front Oncol
. 2022 Dec;
12:976168.
PMID: 36531037
Background: The impact and utility of machine learning (ML)-based prediction tools for cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision-making have been largely described and realized in the...
18.
Adeoye J, Zheng L, Thomson P, Choi S, Su Y
Oral Oncol
. 2022 Dec;
136:106278.
PMID: 36525782
Objectives: Artificial intelligence could enhance the use of disparate risk factors (crude method) for better stratification of patients to be screened for oral cancer. This study aims to construct a...
19.
Sayal L, Hamadah O, AlMasri A, Idrees M, Thomson P, Kujan O
J Oral Pathol Med
. 2022 Dec;
52(1):29-36.
PMID: 36459078
Background: Cell-free DNA (cfDNA) and cell-free mitochondrial DNA (cf-mtDNA) have been postulated as potential diagnostic and prognostic biomarkers for different human malignancies. Early detection of head and neck malignancies is...
20.
Predicting Overall Survival Using Machine Learning Algorithms in Oral Cavity Squamous Cell Carcinoma
Tan J, Adeoye J, Thomson P, Sharma D, Ramamurthy P, Choi S
Anticancer Res
. 2022 Dec;
42(12):5859-5866.
PMID: 36456152
Background/aim: Machine learning (ML) models are often modelled to predict cancer prognosis but rarely consider spatial factors in a region. Hence this study explored machine learning algorithms utilising Local Government...