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Institution

Guy's and St Thomas' NHS Foundation Trust

HealthcareLondon, United Kingdom
About: Guy's and St Thomas' NHS Foundation Trust is a healthcare organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 7686 authors who have published 9631 publications receiving 399353 citations. The organization is also known as: Guy's and St Thomas' National Health Service Foundation Trust & Guy's and St Thomas' National Health Service Trust.


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Journal ArticleDOI
TL;DR: The technique can determine unknown patient motion or use knowledge of motion from other measures as a starting estimate and is iteratively refined using the image entropy to enable automatic focusing of motion corrupted magnetic resonance images.
Abstract: Presents the use of an entropy focus criterion to enable automatic focusing of motion corrupted magnetic resonance images. The authors demonstrate the principle using illustrative examples from cooperative volunteers. Their technique can determine unknown patient motion or use knowledge of motion from other measures as a starting estimate. The motion estimate is used to compensate the acquired data and is iteratively refined using the image entropy. Entropy focuses the whole image principally by favoring the removal of motion induced ghosts and blurring from otherwise dark regions of the image. Using only the image data, and no special hardware or pulse sequences, the authors demonstrate correction for arbitrary rigid-body translational motion in the imaging plane and for a single rotation. Extension to three-dimensional (3-D) and more general motion should be possible. The algorithm is able to determine volunteer motion well. The mean absolute deviation between algorithm and navigator-echo-determined motion is comparable to the displacement step size used in the algorithm. Local deviations from the recorded motion or navigator-determined motion are explained and the authors indicate how enhanced focus criteria may be derived. In all cases they were able to compensate images for patient motion, reducing blurring and ghosting.

259 citations

Journal ArticleDOI
TL;DR: A genome-wide association study (GWAS) of predominantly estrogen receptor (ER)-positive disease and BRCA1 mutation carrier GWAS observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies, which explain approximately 16% of the familial risk of this breast cancer subtype.
Abstract: Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

258 citations

Journal ArticleDOI
01 Feb 2016-Thorax
TL;DR: The UKLS pilot trial demonstrated that it is possible to detect lung cancer at an early stage and deliver potentially curative treatment in over 80% of cases and health economic analysis suggests that the intervention would be cost effective.
Abstract: Background: Lung cancer screening using low-dose CT (LDCT) was shown to reduce lung cancer mortality by 20% in the National Lung Screening Trial. Methods: The pilot UK Lung Cancer Screening (UKLS) is a randomised controlled trial of LDCT screening for lung cancer versus usual care. A population-based questionnaire was used to identify high-risk individuals. CT screen-detected nodules were managed by a pre-specified protocol. Cost effectiveness was modelled with reference to the National Lung Cancer Screening Trial mortality reduction. Results: 247 354 individuals aged 50–75 years were approached; 30.7% expressed an interest, 8729 (11.5%) were eligible and 4055 were randomised, 2028 into the CT arm (1994 underwent a CT). Forty-two participants (2.1%) had confirmed lung cancer, 34 (1.7%) at baseline and 8 (0.4%) at the 12-month scan. 28/42 (66.7%) had stage I disease, 36/42 (85.7%) had stage I or II disease. 35/42 (83.3%) had surgical resection. 536 subjects had nodules greater than 50 mm3 or 5 mm diameter and 41/536 were found to have lung cancer. One further cancer was detected by follow-up of nodules between 15 and 50 mm3 at 12 months. The baseline estimate for the incremental cost-effectiveness ratio of once-only CT screening, under the UKLS protocol, was £8466 per quality adjusted life year gained (CI £5542 to £12 569). Conclusions: The UKLS pilot trial demonstrated that it is possible to detect lung cancer at an early stage and deliver potentially curative treatment in over 80% of cases. Health economic analysis suggests that the intervention would be cost effective—this needs to be confirmed using data on observed lung cancer mortality reduction.

258 citations

Journal ArticleDOI
01 May 2010-Thorax
TL;DR: Post-ex exacerbation rehabilitation in COPD can reduce re-exacerbation events that require admission or hospital attendance over a 3-month period.
Abstract: BACKGROUND Exacerbations of chronic obstructive pulmonary disease (COPD) are characterised by increased dyspnoea, reduced quality of life and muscle weakness. Re-exacerbation and hospital admission are common. Pulmonary rehabilitation (PR) administered after hospital admission for an exacerbation can improve quality of life and exercise capacity. OBJECTIVE To determine whether outpatient post-exacerbation PR (PEPR) could reduce subsequent hospital admission episodes. METHODS Patients admitted to hospital for an exacerbation of COPD were randomised to receive either usual follow-up care (UC) or PEPR after discharge. Hospital admission and emergency department attendances for COPD exacerbations were recorded over a 3-month period and analysed on an intention-to-treat basis. Secondary outcomes included exercise capacity and quadriceps strength. RESULTS 60 patients underwent concealed randomisation at the time of their hospital discharge (UC: n=30, mean (SD) age 65 (10) years, forced expiratory volume in 1 s (FEV(1)) 52 (22)% predicted; PEPR: n=30, 67(10) years, 52 (20)% predicted). The proportion of patients re-admitted to hospital with an exacerbation was 33% in the UC group compared with 7% in those receiving PEPR (OR 0.15, 95% CI 0.03 to 0.72, p=0.02). The proportion of patients that experienced an exacerbation resulting in an unplanned hospital attendance (either admission or review and discharge from the emergency department) was 57% in the UC group and 27% in those receiving PEPR (OR 0.28, 95% CI 0.10 to 0.82, p=0.02). CONCLUSIONS Post-exacerbation rehabilitation in COPD can reduce re-exacerbation events that require admission or hospital attendance over a 3-month period. Clinical Trials Registration Number NCT00557115.

258 citations

Journal ArticleDOI
Yan Guo1, Shaneda Warren Andersen1, Xiao-Ou Shu1, Kyriaki Michailidou2, Manjeet K. Bolla2, Qin Wang2, Montserrat Garcia-Closas, Roger L. Milne3, Roger L. Milne4, Marjanka K. Schmidt, Jenny Chang-Claude5, Jenny Chang-Claude6, Allison M Dunning7, Stig E. Bojesen8, Habibul Ahsan9, Kristiina Aittomäki10, Irene L. Andrulis11, Hoda Anton-Culver12, Volker Arndt6, Matthias W. Beckmann9, Alicia Beeghly-Fadiel1, Javier Benitez13, Natalia Bogdanova14, Bernardo Bonanni, Anne Lise Børresen-Dale15, Judith S. Brand16, Hiltrud Brauch6, Hiltrud Brauch17, Hiltrud Brauch18, Hermann Brenner6, Thomas Brüning19, Barbara Burwinkel6, Graham Casey20, Georgia Chenevix-Trench21, Fergus J. Couch22, Angela Cox7, Simon S. Cross7, Kamila Czene16, Peter Devilee23, Thilo Dörk14, Martine Dumont24, Peter A. Fasching25, Peter A. Fasching26, Jonine Figueroa27, Dieter Flesch-Janys28, Olivia Fletcher, Henrik Flyger8, Florentia Fostira, Marilie D. Gammon29, Graham G. Giles3, Graham G. Giles4, Pascal Guénel30, Christopher A. Haiman20, Ute Hamann6, Maartje J. Hooning31, John L. Hopper3, Anna Jakubowska32, Farzana Jasmine9, Mark A. Jenkins3, Esther M. John33, Esther M. John34, Nichola Johnson, Michael Jones, Maria Kabisch6, Muhammad G. Kibriya9, Julia A. Knight11, Linetta B. Koppert31, Veli-Matti Kosma35, Vessela N. Kristensen15, Loic Le Marchand36, Eunjung Lee20, Jingmei Li16, Annika Lindblom16, Robert Luben2, Jan Lubinski32, Kathi Malone37, Arto Mannermaa35, Sara Margolin16, Frederik Marmé38, Catriona McLean39, Hanne Meijers-Heijboer40, Alfons Meindl41, Susan L. Neuhausen42, Heli Nevanlinna10, Patrick Neven43, Janet E. Olson22, Jose Ignacio Arias Perez, Barbara Perkins2, Paolo Peterlongo, Kelly-Anne Phillips3, Katri Pylkäs44, Anja Rudolph6, Regina M. Santella45, Elinor J. Sawyer46, Rita K. Schmutzler47, Caroline Seynaeve31, Mitul Shah2, Martha J. Shrubsole1, Melissa C. Southey3, Anthony J. Swerdlow, Amanda E. Toland48, Ian Tomlinson49, Diana Torres6, Thérèse Truong30, Giske Ursin15, Rob B. van der Luijt50, Senno Verhoef, Alice S. Whittemore34, Robert Winqvist44, Hui Zhao43, Shilin Zhao1, Per Hall16, Jacques Simard24, Peter Kraft51, Paul D.P. Pharoah2, David J. Hunter51, Douglas F. Easton2, Wei Zheng1 
TL;DR: BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer, differs from the positive association reported from studies using measured adult BMI.
Abstract: BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. METHODS: We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. RESULTS: In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 × 10-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 × 10-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 × 10-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 × 10-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p < 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. CONCLUSIONS: BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.

258 citations


Authors

Showing all 7765 results

NameH-indexPapersCitations
Christopher J L Murray209754310329
Bruce M. Psaty1811205138244
Giuseppe Remuzzi1721226160440
Mika Kivimäki1661515141468
Simon I. Hay165557153307
Theo Vos156502186409
Ali H. Mokdad156634160599
Steven Williams144137586712
Igor Rudan142658103659
Mohsen Naghavi139381169048
Christopher D.M. Fletcher13867482484
Martin McKee1381732125972
David A. Jackson136109568352
Graham G. Giles136124980038
Yang Liu1292506122380
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202298
20211,488
20201,123
2019829
2018767