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Institution

Leicester Royal Infirmary

HealthcareLeicester, United Kingdom
About: Leicester Royal Infirmary is a healthcare organization based out in Leicester, United Kingdom. It is known for research contribution in the topics: Population & Carotid endarterectomy. The organization has 5300 authors who have published 6204 publications receiving 208464 citations.


Papers
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Journal Article
TL;DR: The wall of intact Toxoplasma tissue cysts within the brains of mice with congenital toxoplasmosis was investigated and contained cystozoites were shown by ultrastructural examination to be surrounded by a layer of microtubules; immunohistochemical staining revealed that this layer contained neurofilament protein.
Abstract: The wall of intact Toxoplasma tissue cysts within the brains of mice with congenital toxoplasmosis was investigated. Smaller cysts were identified within the soma of neurones. With larger cysts, the contained cystozoites were shown by ultrastructural examination to be surrounded by a layer of microtubules; immunohistochemical staining revealed that this layer contained neurofilament protein. Interior to this layer was a much convoluted parasitophorus vacuole membrane; exterior was the host cell membrane. In most cases, synaptic plates were noted on the outer plasma membrane. In no instance were tissue cysts observed either within neuroglial cells or in the absence of host cells. These observations are discussed in relation to the pathogenesis of congenital toxoplasmosis in the brain.

59 citations

Journal ArticleDOI
TL;DR: It is concluded that Breslow depth and Clark's level should not be the sole basis of wide excision protocols because of the high degree of observer variation and where surgical management is potentially disfiguring it is not high enough.
Abstract: We have assessed the degree of observer variation of both Breslow depth and Clark's level in a series of 50 thin malignant melanomas. Our findings are similar to those of previous international studies in the Breslow depth is the more reproducible measure. Significant intra- and inter-observer variation exists and in some cases it was up to +/- 0.86 mm. Even small differences will potentially affect patient management at our centre and this was analysed using kappa statistics. Good agreement was found between observers and this could be improved by comparing the mean of two or more measurements. This removes larger errors, but smaller observer errors and differences in subjective interpretation of the deepest malignant cell mean that agreement will never be more than 90 per cent. This is high compared with studies of observer variation in other pathological conditions, e.g., dysplasia of the cervix, but where surgical management is potentially disfiguring it is not high enough. We conclude that Breslow depth and Clark's level should not be the sole basis of wide excision protocols.

59 citations

Journal ArticleDOI
TL;DR: This work illustrates the induction and time course for excretion of ultraviolet-induced lesions, perhaps alluding to repair and ultimately offering the potential to define psoralen plus ultraviolet A dosage regimes in terms of minimizing DNA damage and hence cancer risk.

59 citations

Journal ArticleDOI
TL;DR: All patients before labor at term possess an area of fetal membranes that are located in the lower uterine pole that exhibit altered morphology that is associated with myofibroblastic activation in the chorionic connective tissue.

59 citations

Journal ArticleDOI
01 May 2007
TL;DR: A new approach to probabilistic interpretation of Bayesian DT ensembles is presented, based on the quantitative evaluation of uncertainty of the DTs, and allows experts to find a DT that provides a high predictive accuracy and confident outcomes.
Abstract: Bayesian averaging (BA) over ensembles of decision models allows evaluation of the uncertainty of decisions that is of crucial importance for safety-critical applications such as medical diagnostics. The interpretability of the ensemble can also give useful information for experts responsible for making reliable decisions. For this reason, decision trees (DTs) are attractive decision models for experts. However, BA over such models makes an ensemble of DTs uninterpretable. In this paper, we present a new approach to probabilistic interpretation of Bayesian DT ensembles. This approach is based on the quantitative evaluation of uncertainty of the DTs, and allows experts to find a DT that provides a high predictive accuracy and confident outcomes. To make the BA over DTs feasible in our experiments, we use a Markov Chain Monte Carlo technique with a reversible jump extension. The results obtained from clinical data show that in terms of predictive accuracy, the proposed method outperforms the maximum a posteriori (MAP) method that has been suggested for interpretation of DT ensembles

59 citations


Authors

Showing all 5314 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Nilesh J. Samani149779113545
Peter M. Rothwell13477967382
John F. Thompson132142095894
James A. Russell124102487929
Paul Bebbington11958346341
John P. Neoptolemos11264852928
Richard C. Trembath10736841128
Andrew J. Wardlaw9231133721
Melanie J. Davies8981436939
Philip Quirke8937834071
Kenneth J. O'Byrne8762939193
David R. Jones8770740501
Keith R. Abrams8635530980
Martin J. S. Dyer8537324909
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202219
2021168
2020120
2019110
2018121