Accelerated hypofractionated radiotherapy as adjuvant regimen after conserving surgery for early breast cancer: interim report of toxicity after a minimum follow up of 3 years

<p>Abstract</p> <p>Background</p> <p>Accelerated hypofractionation is an attractive approach for adjuvant whole breast radiotherapy. In this study we evaluated the adverse effects at least 3 years post an accelerated hypofractionated whole breast radiotherapy schedule.</p> <p>Methods</p> <p>From October 2004 to March 2006, 39 consecutive patients aged over 18 years with pTis, pT1-2, pN0-1 breast adenocarcinoma who underwent conservative surgery were treated with an adjuvant accelerated hypofractionated radiotherapy schedule consisting of 34 Gy in 10 daily fractions over 2 weeks to the whole breast, followed after 1 week by an electron boost dose of 8 Gy in a single fraction to the tumour bed. Skin and lung radiation toxicity was evaluated daily during therapy, once a week for one month after radiotherapy completion, every 3 months for the first year and from then on every six months. In particular lung toxicity was investigated in terms of CT density evaluation, pulmonary functional tests, and clinical and radiological scoring. Paired t-test, Chi-square test and non-parametric Wilcoxon test were performed.</p> <p>Results</p> <p>After a median follow-up of 43 months (range 36-52 months), all the patients are alive and disease-free. None of the patients showed any clinical signs of lung toxicity, no CT-lung toxicity was denoted by radiologist on CT lung images acquired about 1 year post-radiotherapy, no variation of pulmonary density evaluated in terms of normalised Hounsfield numbers was evident. Barely palpable increased density of the treated breast was noted in 9 out of 39 patients (in 2 patients this toxicity was limited to the boost area) and teleangectasia (<1/cm²) limited to the boost area was evident in 2 out of 39 patients. The compliance with the treatment was excellent (100%).</p> <p>Conclusion</p> <p>The radiotherapy schedule investigated in this study (i.e 34 Gy in 3.4 Gy/fr plus boost dose of 8 Gy in single fraction) is a feasible and safe treatment and does not lead to adjunctive acute and late toxicities. A longer follow up is necessary to confirm these favourable results.</p

Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Time series of wetland methane fluxes measured by eddy covariance require gap-filling to estimate daily, sea- sonal, and annual emissions. Gap-filling methane fluxes is challenging because of high variability and complex responses to multiple drivers. To date, there is no widely established gap-filling standard for wetland methane fluxes, with regards both to the best model algorithms and predictors. This study synthesizes results of different gap-filling methods systematically applied at 17 wetland sites spanning boreal to tropical regions and including all major wetland classes and two rice paddies. Procedures are proposed for: 1) creating realistic artificial gap scenarios, 2) training and evaluating gap-filling models without overstating performance, and 3) predicting half- hourly methane fluxes and annual emissions with realistic uncertainty estimates. Performance is compared be- tween a conventional method (marginal distribution sampling) and four machine learning algorithms. The conventional method achieved similar median performance as the machine learning models but was worse than the best machine learning models and relatively insensitive to predictor choices. Of the machine learning models, decision tree algorithms performed the best in cross-validation experiments, even with a baseline predictor set, and artificial neural networks showed comparable performance when using all predictors. Soil temperature was frequently the most important predictor whilst water table depth was important at sites with substantial water table fluctuations, highlighting the value of data on wetland soil conditions. Raw gap-filling uncertainties from the machine learning models were underestimated and we propose a method to calibrate uncertainties to ob- servations. The python code for model development, evaluation, and uncertainty estimation is publicly available. This study outlines a modular and robust machine learning workflow and makes recommendations for, and evaluates an improved baseline of, methane gap-filling models that can be implemented in multi-site syntheses or standardized products from regional and global flux networks (e.g., FLUXNET)

Impact of Italian legislation regulating assisted reproduction techniques on ICSI outcomes in severe male factor infertility: a multicentric survey

BACKGROUND: In 2004, a law regulating assisted reproduction techniques (ART) was passed in Italy. The new rules allow for the formation and transfer of a maximum of three embryos at one time, whereas embryo selection and embryo storage are prohibited. The aim of this study is to evaluate the impact of these restrictions on ICSI outcome in couples affected by severe male factor infertility. METHODS: Thirteen Italian ART Units were involved in this study. Data were collected on ICSI cycles performed during 2 years before (control group) and 2 years after (study group) the enforcement of the law. Only cases of obstructive azoospermia (OA), non-obstructive azoospermia (NOA) and severe oligoastenoteratozoospermia (OAT) (sperm count <or=1 x 10(6) per ml; normal forms <or=5% according to WHO) were included. Laboratory results (fertilization rate, cleavage rate and embryo quality) and clinical outcomes (clinical pregnancy rate, implantation rate, abortion rate) were compared between the two groups. RESULTS: One thousand six hundred and forty ICSI cycles were examined. The control group included 843 cycles (51.4%), whereas the study group consisted in 797 cycles (48.6%). The restrictions imposed by the law significantly reduced the number of good-morphology embryos available for transfer (57.5 versus 50.1%; P < 0.001). In addition, the clinical pregnancy rate (32.6 versus 22.6%; P < 0.001) and the implantation rate (16.0 versus 12.3%; P< 0.05) per cycle were negatively affected by the enforcement of the law. In particular, dramatic reductions in the pregnancy rate (36.6 versus 15.5%; P < 0.001) and the implantation rate (17.8 versus 9.8%; P < 0.001) were observed in the NOA subgroup. CONCLUSIONS: Limiting the number of treated oocytes to three per ICSI cycle significantly reduces the chance of transferring good quality embryos and thus achieving a pregnancy in cases of severe male factor infertility. NOA patients are particularly affected by this restriction imposed by the new Italian law

Innovative solutions to safety and health risks in the construction, healthcare and HORECA sectors

One conclusion from the EU-OSHA economic incentives project is that incentives schemes should not only reward past results of good OSH management (such as accident numbers in experience rating), but should also reward specific prevention efforts that aim to reduce future accidents and ill-health. Experts from the economic incentives project therefore suggested the development of compilations of innovative and evidence-based preventive solutions, starting with the three sectors construction, health care and HORECA (hotels, restaurants, catering). The preventive measures from these compilations are worth promoting in their own right, as well as being applied in economic incentives schemes. These preventive solutions can be used as a basis for incentive-providing organisations to develop their own incentive scheme, adapted to the specific situation in their sector and country