10,469 research outputs found
Combined Reconstruction and Registration of Digital Breast Tomosynthesis
Digital breast tomosynthesis (DBT) has the potential to en-
hance breast cancer detection by reducing the confounding e ect of su-
perimposed tissue associated with conventional mammography. In addi-
tion the increased volumetric information should enable temporal datasets
to be more accurately compared, a task that radiologists routinely apply
to conventional mammograms to detect the changes associated with ma-
lignancy. In this paper we address the problem of comparing DBT data
by combining reconstruction of a pair of temporal volumes with their reg-
istration. Using a simple test object, and DBT simulations from in vivo
breast compressions imaged using MRI, we demonstrate that this com-
bined reconstruction and registration approach produces improvements
in both the reconstructed volumes and the estimated transformation pa-
rameters when compared to performing the tasks sequentially
Single-strand selective monofunctional uracil-DNA glycosylase (SMUG1) deficiency is linked to aggressive breast cancer and predicts response to adjuvant therapy
Uracil in DNA is an important cause of mutagenesis. SMUG1 is a uracil DNA glycosylase that removes uracil through base excision repair. SMUG1 also processes radiation induced oxidative base damage as well as 5-fluorouracil incorporated into DNA during chemotherapy. We investigated SMUG1 mRNA expression in 249 primary breast cancers. SMUG1 protein expression was investigated in 1165 breast tumours randomised into two cohorts [training set (n=583) and test set (n=582)]. SMUG1 and chemotherapy response was also investigated in a series of 315 ER negative tumours (n=315). For mechanistic insights, SMUG1 was correlated to biomarkers of aggressive phenotype, DNA repair, cell cycle and apoptosis. Low SMUG1 mRNA expression was associated with adverse disease specific survival (p=0.008) and disease free survival (p=0.008). Low SMUG1 protein expression (25%) was associated with high histological grade (p<0.0001), high mitotic index (p<0.0001), pleomorphism (p<0.0001), glandular de-differentiation (p=0.0001), absence of hormonal receptors (ER-/PgR-/AR) (p<0.0001), presence of basal-like (p<0.0001) and triple negative phenotypes (p<0.0001). Low SMUG1 protein expression was associated with loss of BRCA1 (p<0.0001), ATM (p<0.0001) and XRCC1 (p<0.0001). Low p27 (p<0.0001), low p21 (p=0.023), mutant p53 (p=0.037), low MDM2 (p<0.0001), low MDM4 (p=0.004), low Bcl-2 (p=0.001), low Bax (p=0.003) and high MIB1 (p<0.0001) were likely in low SMUG1 tumours. Low SMUG1 protein expression was associated with poor prognosis in univariate (p<0.001) and multivariate analysis (p<0.01). In ER+ cohort that received adjuvant endocrine therapy, low SMUG1 protein expression remains associated with poor survival (p<0.01). In ER- cohort that received adjuvant chemotherapy, low SMUG1 protein expression is associated with improved survival (p=0.043). Our study suggests that low SMUG1 expression may correlate to adverse clinicopathological features and predict response to adjuvant therapy in breast cancer
A proposed approach to monitor private-sector policies and practices related to food environments, obesity and non-communicable disease prevention
Private-sector organizations play a critical role in shaping the food environments
of individuals and populations. However, there is currently
very limited independent monitoring of private-sector actions related to
food environments. This paper reviews previous efforts to monitor the
private sector in this area, and outlines a proposed approach to monitor
private-sector policies and practices related to food environments, and
their influence on obesity and non-communicable disease (NCD) prevention.
A step-wise approach to data collection is recommended, in which
the first (‘minimal’) step is the collation of publicly available food and
nutrition-related policies of selected private-sector organizations. The
second (‘expanded’) step assesses the nutritional composition of each
organization’s products, their promotions to children, their labelling
practices, and the accessibility, availability and affordability of their
products. The third (‘optimal’) step includes data on other commercial
activities that may influence food environments, such as political lobbying
and corporate philanthropy. The proposed approach will be further
developed and piloted in countries of varying size and income levels.
There is potential for this approach to enable national and international
benchmarking of private-sector policies and practices, and to inform
efforts to hold the private sector to account for their role in obesity and
NCD prevention
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What We Can Learn: A Review of Food Policy Innovations in Six Countries
This report brings together examples of food policies from a select group of nations: Denmark, Finland, France, Japan, The Netherlands, and Scotland. It also briefly reviews overarching policies on food security in three middle-income countries: Brazil, India and South Africa. The purpose was to bring together innovative policy ideas from other nations to inform the independent review being conducted by Henry Dimbleby to support the development of a National Food Strategy for England. It includes policies designed to cover the whole food system (“food system policies”), as well as those specific to key dimensions of the food system, such as health, environment, agriculture, food security and land-use. It also includes examples of private sector innovations and partnership approaches. The report first highlights some notable examples of innovative policies from the six countries. It then describes the policies for each country, focusing on those which contain innovative aspects
Monitoring the impacts of trade agreements on food environments
The liberalization of international trade and foreign direct investment through
multilateral, regional and bilateral agreements has had profound implications
for the structure and nature of food systems, and therefore, for the availability,
nutritional quality, accessibility, price and promotion of foods in different
locations. Public health attention has only relatively recently turned to the links
between trade and investment agreements, diets and health, and there is currently
no systematic monitoring of this area. This paper reviews the available evidence on the links between trade agreements, food environments and diets from an obesity and non-communicable disease (NCD) perspective. Based on the key issues identified through the review, the paper outlines an approach for monitoring the potential impact of trade agreements on food environments and
obesity/NCD risks. The proposed monitoring approach encompasses a set of guiding principles, recommended procedures for data collection and analysis, and quantifiable ‘minimal’, ‘expanded’ and ‘optimal’ measurement indicators to be tailored to national priorities, capacity and resources. Formal risk assessment processes of existing and evolving trade and investment agreements,
which focus on their impacts on food environments will help inform the development of healthy trade policy, strengthen domestic nutrition and health
policy space and ultimately protect population nutrition.The following organizations provided funding support for the travel of participants
to Italy for this meeting and the preparation of background research papers: The Rockefeller Foundation, International Obesity Taskforce (IOTF), University of
Auckland, Deakin University, The George Institute, University of Sydney, Queensland University of Technology, University
of Oxford, University of Pennsylvania Perelman School of Medicine, World Cancer Research Fund International, University of Toronto, and The Australian National
University. The Faculty of Health at Deakin University kindly supported the costs for open access availability of this paper,
and the Australian National Health and Medical Research Council Centre for Research Excellence in Obesity Policy and Food Systems (APP1041020) supported the coordination and finalizing of INFORMAS manuscripts
Distribution and abundance of fish and crayfish in a Waikato stream in relation to basin area
The aim of this study was to relate the longitudinal distribution of fish and crayfish to increasing basin area and physical site characteristics in the Mangaotama Stream, Waikato region, North Island, New Zealand. Fish and crayfish were captured with two-pass removal electroshocking at 11 sites located in hill-country with pasture, native forest, and mixed land uses within the 21.6 km2 basin. Number of fish species and lineal biomass of fish increased with increasing basin area, but barriers to upstream fish migration also influenced fish distribution; only climbing and non-migratory species were present above a series of small waterfalls. Fish biomass increased in direct proportion to stream width, suggesting that fish used much of the available channel, and stream width was closely related to basin area. Conversely, the abundance of crayfish was related to the amount of edge habitat, and therefore crayfish did not increase in abundance as basin area increased. Densities of all fish species combined ranged from 17 to 459 fish 100 m-2, and biomass ranged from 14 to 206 g m-2. Eels dominated the fish assemblages, comprising 85-100% of the total biomass; longfinned eels the majority of the biomass at most sites. Despite the open access of the lower sites to introduced brown trout, native species dominated all the fish communities sampled
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning
Multi-task neural network architectures provide a mechanism that jointly
integrates information from distinct sources. It is ideal in the context of
MR-only radiotherapy planning as it can jointly regress a synthetic CT (synCT)
scan and segment organs-at-risk (OAR) from MRI. We propose a probabilistic
multi-task network that estimates: 1) intrinsic uncertainty through a
heteroscedastic noise model for spatially-adaptive task loss weighting and 2)
parameter uncertainty through approximate Bayesian inference. This allows
sampling of multiple segmentations and synCTs that share their network
representation. We test our model on prostate cancer scans and show that it
produces more accurate and consistent synCTs with a better estimation in the
variance of the errors, state of the art results in OAR segmentation and a
methodology for quality assurance in radiotherapy treatment planning.Comment: Early-accept at MICCAI 2018, 8 pages, 4 figure
Searches for New Quarks and Leptons Produced in Z-Boson Decay
We have searched for events with new-particle topologies in 390 hadronic Z decays with the Mark II detector at the SLAC Linear Collider. We place 95%-confidence-level lower limits of 40.7 GeV/c^2 for the top-quark mass, 42.0 GeV/c^2 for the mass of a fourth-generation charge - 1/3 quark, and 41.3 GeV/c^2 for the mass of an unstable Dirac neutral lepton
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45 actions to orient food systems towards environmental sustainability: co-benefits and trade-offs
In 2020, the Centre for Food Policy at City, University of London, the Global Alliance for improved Nutrition (GAIN) and Johns Hopkins University compiled a list of 42 actions to orient food systems towards healthy diets. Thoseactions have the potential to effect change through food supply chains, food environments and consumers.
In this Brief, we build on that work, shifting the focus towards the environment. We extracted a menu of 45 actions to re-orient food systems towards environmental sustainability using the same methodology. To emphasise the potential ramifications that implementing these actions on a large scale could imply, we also incorporated potential trade-offs and nutrition co-benefits within the list. Potential trade-offs have been identified through a review of existing literature, while potential co-benefits with the 42 policies and actions on healthy diets have been identified through a novel methodology designed for this project
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