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Institution

Royal Devon and Exeter Hospital

HealthcareExeter, United Kingdom
About: Royal Devon and Exeter Hospital is a healthcare organization based out in Exeter, United Kingdom. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 2282 authors who have published 2526 publications receiving 78866 citations. The organization is also known as: RD&E.


Papers
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Journal ArticleDOI
TL;DR: Six patients who developed heavy calcification of soft tissue following chest wall and breast irradiation are described here, and relevant literature is reviewed.
Abstract: Subcutaneous calcification as a complication of chest wall irradiation has only been described once before in the literature. Six patients who developed heavy calcification of soft tissue following chest wall and breast irradiation are described here, and relevant literature is reviewed.

21 citations

Journal ArticleDOI
TL;DR: MRI changes can be reliably identified with strong agreement between observers and ALL injury is found more frequently on MRI within 6 weeks of the knee injury (compared to scans performed after this time period) suggesting that some injuries may resolve or become less visible.
Abstract: The magnetic resonance imaging (MRI) appearance of the anterolateral ligament (ALL) has been described. However, the appearance of this structure and injury, in the presence of anterior cruciate ligament (ACL) injury, is less well defined. We studied the incidence of injury to the ALL and the pattern of this injury on MRI. Following Institutional Review Board approval, a retrospective study of 375 consecutive MRI studies was performed. Cases were identified from a prospective database of ACL reconstruction patients. Following exclusions, 280 MRIs (277 patients; 197 males: 80 females; mean age 30.2 years, range, 16–54) were evaluated. Injury was defined as full thickness, partial thickness, or an avulsion fracture. Each study was independently assessed by two consultant musculoskeletal radiologists. Injury to the ALL was identified (by at least one observer) in only 10.7% of cases (2.50% full thickness, 7.50% partial thickness, and 0.71% avulsion fracture). There was an almost perfect level of interobserver agreement for both the identification of an injury (κ = 0.854) and grading of injury (κ = 0.858). The MRI incidence of ALL injury was significantly greater within 6 weeks of the knee injury (18.5 vs. 8.37%; p < 0.05). ALL injury was identified in only one-tenth of cases of ACL rupture. MRI changes can be reliably identified with strong agreement between observers. ALL injury is found more frequently on MRI within 6 weeks of the knee injury (compared to scans performed after this time period) suggesting that some injuries may resolve or become less visible.

21 citations

Journal ArticleDOI
TL;DR: The merits of early antenatal intervention, regular lower uterine segment length monitoring and use of daily progesterone pessaries are discussed, alongside the current supportive evidence, as well as proposed recommendations for obstetric management of pregnancy in women post-radical vaginal trachelectomy.
Abstract: Radical vaginal trachelectomy now affords a fertility-sparing procedure for the treatment of early-stage cervical cancer in young women. Subsequent obstetric management within this group of women remains a challenge to the obstetrician, with risks of premature labour a continuing probability throughout pregnancy. Here we describe four cases of successful pregnancy following radical vaginal trachelectomy within our unit. The merits of early antenatal intervention, regular lower uterine segment length monitoring and use of daily progesterone pessaries are discussed, alongside the current supportive evidence. We conclude with a discussion of proposed recommendations for obstetric management of pregnancy in women post-radical vaginal trachelectomy.

21 citations

Journal ArticleDOI
TL;DR: How genetics studies can be used to investigate the relationship between type 2 diabetes and cancer and how large-scale genome-wide association studies allow for shared genetic architecture are discussed are discussed.
Abstract: Recent developments in the field of genetics have accelerated our understanding of the aetiology of complex diseases. Type 2 diabetes mellitus and cancer are no exception, with large-scale genome-wide association studies (GWAS) facilitating exploration of the underlying pathology. Here, we discuss how genetics studies can be used to investigate the relationship between these complex diseases. Observational epidemiological studies consistently report that people with type 2 diabetes have a higher risk of several types of cancer. Indeed, type 2 diabetes and cancer share many common risk factors, such as obesity, ageing, poor diet and low levels of physical activity. However, questions remain regarding the biological mechanisms that link these two diseases. Large-scale GWAS of type 2 diabetes and cancer allow us to consider the evidence for shared genetic architecture. Several shared susceptibility genes have been identified, yet tissue specificity and direction of effect must be taken into account when considering common genetic aetiology. We also consider how GWAS, and associated techniques such as Mendelian randomisation, allow us to dissect the link between the two diseases and address questions such as 'Does type 2 diabetes cause cancer or is the increased risk observed driven by higher adiposity or another associated metabolic feature?' Graphical abstract.

21 citations

Proceedings Article
03 Jul 2018
TL;DR: In this paper, the authors propose an MCTSnet, which incorporates simulation-based search inside a neural network, by expanding, evaluating and backing-up a vector embedding.
Abstract: Planning problems are among the most important and well-studied problems in artificial intelligence. They are most typically solved by tree search algorithms that simulate ahead into the future, evaluate future states, and back-up those evaluations to the root of a search tree. Among these algorithms, Monte-Carlo tree search (MCTS) is one of the most general, powerful and widely used. A typical implementation of MCTS uses cleverly designed rules, optimized to the particular characteristics of the domain. These rules control where the simulation traverses, what to evaluate in the states that are reached, and how to back-up those evaluations. In this paper we instead learn where, what and how to search. Our architecture, which we call an MCTSnet, incorporates simulation-based search inside a neural network, by expanding, evaluating and backing-up a vector embedding. The parameters of the network are trained end-to-end using gradient-based optimisation. When applied to small searches in the well known planning problem Sokoban, the learned search algorithm significantly outperformed MCTS baselines.

20 citations


Authors

Showing all 2288 results

NameH-indexPapersCitations
Andrew T. Hattersley146768106949
Timothy M. Frayling133500100344
Gordon D.O. Lowe10556044327
Rod S Taylor10452439332
Sian Ellard9763636847
Zoltán Kutalik9032142901
Michael N. Weedon8720160701
Masud Husain8139825682
David Melzer8032833458
Jonathan Mill7830136343
A. John Camm7636849804
David Silver7422781103
Jason D. Warren7338420588
Nicholas J. Talbot7124029205
Andrew R. Wood7021436203
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20225
2021153
2020142
2019160
2018152