Louise Wilkinson
Overview
Explore the profile of Louise Wilkinson including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
388
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Recent Articles
1.
Brettschneider J, Morrison B, Jenkinson D, Freeman K, Walton J, Sitch A, et al.
Br J Radiol
. 2024 Jan;
97(1153):98-112.
PMID: 38263823
Objectives: To build a data set capturing the whole breast cancer screening journey from individual breast cancer screening records to outcomes and assess data quality. Methods: Routine screening records (invitation,...
2.
Goodburn R, Kousi E, Sanders C, MacDonald A, Scurr E, Bunce C, et al.
Eur Radiol
. 2023 Jun;
33(9):6621.
PMID: 37358615
No abstract available.
3.
Goodburn R, Kousi E, Sanders C, MacDonald A, Scurr E, Bunce C, et al.
Eur Radiol
. 2023 Apr;
33(9):6204-6212.
PMID: 37017702
Objectives: To investigate whether MRI-based measurements of fibro-glandular tissue volume, breast density (MRBD), and background parenchymal enhancement (BPE) could be used to stratify two cohorts of healthy women: BRCA carriers...
4.
Cushnan D, Young K, Ward D, Halling-Brown M, Duffy S, Given-Wilson R, et al.
Br J Radiol
. 2023 Jan;
96(1143):20211104.
PMID: 36607283
Objective: To pilot a process for the independent external validation of an artificial intelligence (AI) tool to detect breast cancer using data from the NHS breast screening programme (NHSBSP). Methods:...
5.
Chalkidou A, Shokraneh F, Kijauskaite G, Taylor-Phillips S, Halligan S, Wilkinson L, et al.
Lancet Digit Health
. 2022 Nov;
4(12):e899-e905.
PMID: 36427951
Rigorous evaluation of artificial intelligence (AI) systems for image classification is essential before deployment into health-care settings, such as screening programmes, so that adoption is effective and safe. A key...
6.
Taylor-Phillips S, Seedat F, Kijauskaite G, Marshall J, Halligan S, Hyde C, et al.
Lancet Digit Health
. 2022 Jun;
4(7):e558-e565.
PMID: 35750402
Artificial intelligence (AI) could have the potential to accurately classify mammograms according to the presence or absence of radiological signs of breast cancer, replacing or supplementing human readers (radiologists). The...
7.
Ankrett S, Smithson J, Limond J, Behn N, Wade S, Wilkinson L, et al.
Neuropsychol Rehabil
. 2022 Apr;
33(6):1090-1119.
PMID: 35443860
Peer relationship difficulties in adolescents with acquired brain injury (ABI) are under-recognized and targets for intervention are unclear. From a social constructionist position, this study aimed to engage with stakeholders...
8.
Wilkinson L, Gathani T
Br J Radiol
. 2021 Dec;
95(1130):20211033.
PMID: 34905391
Breast cancer is now the most commonly diagnosed cancer in the world. The most recent global cancer burden figures estimate that there were 2.26 million incident breast cancer cases in...
9.
Whelehan P, Ali K, Vinnicombe S, Ball G, Cox J, Farry P, et al.
Br J Radiol
. 2021 Jan;
94(1119):20201105.
PMID: 33411577
Objective: Full-field digital mammography (FFDM) has limited sensitivity for cancer in younger women with denser breasts. Digital breast tomosynthesis (DBT) can reduce the risk of cancer being obscured by overlying...
10.
Goodburn R, Kousi E, MacDonald A, Morgan V, Scurr E, Reddy M, et al.
Br J Radiol
. 2019 Nov;
93(1106):20190639.
PMID: 31674798
Objective: To present and evaluate an automated method to correct scaling between Dixon water/fat images used in breast density (BD) assessments. Methods: Dixon images were acquired in 14 subjects with...