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BACKGROUND: Mammographic density (MD), expressed as percentage of fibroglandular breast tissue, is an important risk factor for breast cancer. Our objective is to investigate the relationship between MD and residential proximity to pollutant industries in premenopausal Spanish women. METHODS: A cross-sectional study was carried out in a sample of 1225 women extracted from the DDM-Madrid study. Multiple linear regression models were used to assess the association of MD percentage (and their 95% confidence intervals (95%CIs)) and proximity (between 1 km and 3 km) to industries included in the European Pollutant Release and Transfer Register. RESULTS: Although no association was found between MD and distance to all industries as a whole, several industrial sectors showed significant association for some distances: "surface treatment of metals and plastic" (ß = 4.98, 95%CI = (0.85; 9.12) at =1.5 km, and ß = 3.00, 95%CI = (0.26; 5.73) at =2.5 km), "organic chemical industry" (ß = 6.73, 95%CI = (0.50; 12.97) at =1.5 km), "pharmaceutical products" (ß = 4.14, 95%CI = (0.58; 7.70) at =2 km; ß = 3.55, 95%CI = (0.49; 6.60) at =2.5 km; and ß = 3.11, 95%CI = (0.20; 6.01) at =3 km), and "urban waste-water treatment plants" (ß = 8.06, 95%CI = (0.82; 15.30) at =1 km; ß = 5.28; 95%CI = (0.49; 10.06) at =1.5 km; ß = 4.30, 95%CI = (0.03; 8.57) at =2 km; ß = 5.26, 95%CI = (1.83; 8.68) at =2.5 km; and ß = 3.19, 95%CI = (0.46; 5.92) at =3 km). Moreover, significant increased MD was observed in women close to industries releasing specific pollutants: ammonia (ß = 4.55, 95%CI = (0.26; 8.83) at =1.5 km; and ß = 3.81, 95%CI = (0.49; 7.14) at =2 km), dichloromethane (ß = 3.86, 95%CI = (0.00; 7.71) at =2 km), ethylbenzene (ß = 8.96, 95%CI = (0.57; 17.35) at =3 km), and phenols (ß = 2.60, 95%CI = (0.21; 5.00) at =2.5 km). CONCLUSIONS: Our results suggest no statistically significant relationship between MD and proximity to industries as a whole, although we detected associations with various industrial sectors and some specific pollutants, which suggests that MD could have a mediating role in breast carcinogenesis.

Breast density assessed from digital mammograms is a known biomarker related to a higher risk of developing breast cancer. Supervised learning algorithms have been implemented to determine this. However, the performance of these algorithms depends on the quality of the ground-truth information, which expert readers usually provide. These expert labels are noisy approximations to the ground truth, as there is both intra- and inter-observer variability among them. Thus, it is crucial to provide a reliable method to measure breast density from mammograms. This paper presents a fully automated method based on deep learning to estimate breast density, including breast detection, pectoral muscle exclusion, and dense tissue segmentation. We propose a novel confusion matrix (CM)-YNet model for the segmentation step. This architecture includes networks to model each radiologist's noisy label and gives the estimated ground-truth segmentation as well as two parameters that allow interaction with a threshold-based labeling tool. A multi-center study involving 1785 women whose "for presentation" mammograms were obtained from 11 different medical facilities was performed. A total of 2496 mammograms were used as the training corpus, and 844 formed the testing corpus. Additionally, we included a totally independent dataset from a different center, composed of 381 women with one image per patient. Each mammogram was labeled independently by two expert radiologists using a threshold-based tool. The implemented CM-Ynet model achieved the highest DICE score averaged over both test datasets (0.82±0.14) when compared to the closest dense-tissue segmentation assessment from both radiologists. The level of concordance between the two radiologists showed a DICE score of 0.76±0.17. An automatic breast density estimator based on deep learning exhibited higher performance when compared with two experienced radiologists. This suggests that modeling each radiologist's label allows for better estimation of the unknown ground-truth segmentation. The advantage of the proposed model is that it also provides the threshold parameters that enable user interaction with a threshold-based tool.

BACKGROUND AND OBJECTIVE: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data System (BI-RADS) categories. Supervised learning algorithms have been developed with this objective in mind, however, the performance of these algorithms depends on the quality of the ground-truth information which is usually labeled by expert readers. These labels are noisy approximations of the ground truth, as there is often intra- and inter-reader variability among labels. Thus, it is crucial to provide a reliable method to obtain digital mammograms matching BI-RADS categories. This paper presents RegL (Labels Regularizer), a methodology that includes different image pre-processes to allow both a correct breast segmentation and the enhancement of image quality through an intensity adjustment, thus allowing the use of deep learning to classify the mammograms into BI-RADS categories. The Confusion Matrix (CM) - CNN network used implements an architecture that models each radiologist's noisy label. The final methodology pipeline was determined after comparing the performance of image pre-processes combined with different DL architectures. METHODS: A multi-center study composed of 1395 women whose mammograms were classified into the four BI-RADS categories by three experienced radiologists is presented. A total of 892 mammograms were used as the training corpus, 224 formed the validation corpus, and 279 the test corpus. RESULTS: The combination of five networks implementing the RegL methodology achieved the best results among all the models in the test set. The ensemble model obtained an accuracy of (0.85) and a kappa index of 0.71. CONCLUSIONS: The proposed methodology has a similar performance to the experienced radiologists in the classification of digital mammograms into BI-RADS categories. This suggests that the pre-processing steps and modelling of each radiologist's label allows for a better estimation of the unknown ground truth labels.

Issue Many cancer risk and protection factors have socially determined conditions. In general, those who pertain to lower socioeconomic groups are more exposed to cancer risk factors and less to protective ones. Description of the problem Current programmes on health promotion and early detection of cancer yield different results according to social group, perpetuating health inequalities. Contest of best practices tackling social inequalities in cancer prevention is an initiative emerged in the framework of Innovative Partnership for Action Against Cancer (iPAAC). This contest identifies interventions proven effective to reduce social inequalities in cancer prevention, with the aim of sharing lessons learned and facilitating replication. Best practice is defined as an intervention implemented in a real life setting which has been favourably assessed in terms of adequacy, effectiveness, and equity. Assessment was conducted on a peer-review basis. To be accepted for evaluation, practices ought to meet compulsory criteria: relevance, equity, and effectiveness; they were further assessed according to gender perspective, efficiency, ethics, sustainability, inter-sectors collaboration, transferability, innovation, evidence based, and public engagement. Results Overall, 15 proposals were submitted from: Belgium, France, United Kingdom, Italy, Slovenia, and Spain. Six out of fifteen (40%) fell under the scope of health promotion; eight proposals (53%) addressed cancer screening. One single practice (7%) approached both primary and secondary prevention. Eleven proposals (73%) were considered best practices. Full details are available at www.ipaac.eu/en/contest-best-practices. Lessons These results suggest that a combination of public health universal interventions together with targeted interventions is effective in preventing cancer in the whole population, integrating specific actions for specific groups otherwise not reached by universal prevention activities. Key messages This contest contributes to provide insight on effective strategies that can be translated to other settings and adapted into more equitable new procedures. Tackling inequities should be included in future best practices criteria.

Background: The population-based Program for the Prevention of Colorectal Cancer (PPCRC) was implemented in 2005 in the Valencian Community, following the guidelines of the European Union. To achieve the desired effectiveness in these programs, it is necessary to achieve a series of requirements, assessable through the program indicators. The objective of this study was to analyze the evolution of the program indicators from 2006 to 2016. Methods: The accumulated indicators for the period were calculated. The Poisson regression model was used to compare the indicators by age groups and sex, by type of screening, by type of fecal occult blood test (FOBT) and by year. Results: The number of people invited to participate was 1,934,266. The participation rate was 44.4%, being 87.6% in the subsequent screening and 33.7% in the initial one, with men over 60 having the lowest participation figures. Except for the positive predictive value (PPV) for low risk adenomas, which was higher in a group of men aged 50 to 59 years of successive screening, the detection rates and PPV for the different types of lesions were higher in the initial screening, with immunological test and in the group of men over 60 years old. Throughout the period, there was a decrease in the test positivity rates and in the advanced adenomas and cancers detection rates. Conclusions: The PPCCR reaches levels of quality for which the effectiveness of the program is demonstrated. However, the insufficient participation of some population groups highlights the need to carry out studies to achieve the desired objectives in all population groups and thus result in greater effectiveness of the program.

OBJECTIVE: The use of new devices such as the self-sampling for the determination of the Human Papilloma Virus (HPV), could facilitate the implementation of population screening programs and increase the participation of women. The objective of the study was to find out the women´s knowledge and attitudes towards cervical cancer screening as well as the acceptability of self-sampling. METHODS: Analytical cross-sectional study by telephone survey carried out on a random sample of 389 women from 35 to 65 years of age. The women were asked about their attitudes and knowledge of the screening and preference for HPV determination by self-sampling or by a healthcare professional. RESULTS: 86.9% of the women preferred self-sampling as a screening method and 93.3% had undergone a previous cervical cytology. 51.4% of the women had a high level of knowledge about cervical cancer screening. Younger women (POR 9.26; 95% CI 1.04-24.38), higher level of education (POR 4.6; 95% CI: 1.92-11.00), and higher level of knowledge (POR 2.78; 95% CI: 1.69-9.29), presented higher preferences for the determination of HPV by self-sampling. The trend in age, educational level and knowledge was the same for the prevalence of previous cervical cytology. CONCLUSIONS: The acceptance of self-testing as a method of cervical cancer screening is high among women. Efforts should be made to raise awareness among women to reduce possible inequalities in access and to encourage informed participation.

Background: The European Commission recommends ensuring equity in cancer screening. The aim of this study was to find out if there were inequalities in access to cancer screening programmes in Spain. Methods: A transversal study was carried out by means of a survey addressed to the people responsible for breast, colorectal (CRC) and cervical cancer screening programmes in the 19 Autonomous Communities (AC) of Spain in 2013 and 2020. Information was collected on organizational characteristics. inequalities in access and interventions to reduce them. A descriptive analysis was made by AC and time period, by calculating frequencies and percentages. depending on the type of programme (breast, CRC and cervix). Results: In 2013, 14 ACs participated for the breast programme. 8 for the CRC and 7 for the cervical programme; and in 2020, 14, 13 and 11 ACs respectively. All breast programmes were population-based in both periods (14/14 in 2013 and 14/14 in 2020). as well as CRC ones (8/8 in 2013 and 13/13 in 2020), with an increase in cervical cancer programmes (0/7 en 2013 y 611 en 2020). In both periods, social groups not included in the target population and groups that were less involved were identified, with differences according to the type of programme. A total of 53 interventions were carried out to reduce inequalities in access (27 in breast, 22 in RCC and 4 in cervical), 66% of them aimed at specific social groups (35/53). Conclusions: Inequalities in access to cancer screening programmes in Spain are identified, as well as interventions to reduce them.

Background: The use of new devices such as the self-sampli for the determination of the Human Papilloma Virus (HPV), could facilitate the implementation of population screening programs and increase the participation of women. The objective of the study was to find out the women's knowledge and attitudes towards cervical cancer screening as well as the acceptability of self-sampling. Methods: Analytical cross-sectional study by telephone survey carried out on a random sample of 389 women from 35 to 65 years of age. The women were asked about their atfitudes and knowledge of the screening and preference for I IPV determination by self-sampling or by a healthcare professional. Results: 86.9% of the women preferred self-sampling as a screening method and 93.3% had undergone a previous cervical cytology. 51.4% of the women had a high level of knowledge about cervical cancer screening. Younger women (POR 9.26; 954/0 CI 1.04-24.38), higher level of education (POR 4.6; 95% CI: 1.92-11.00), and higher level of knowledge (POR 2.78; 95% CI: 1.0-9.29), presented higher preferences for the determination of HPV by self-sampling. The trend in age, educational level and knowledge was the same for the prevalence of previous cervical cytology. Conclusions: The acceptance of self-testing as a method of cervical cancer screening is high among women. Efforts should be made to raise awareness among women to reduce possible inequalities in access and to encourage informed participation.

Dietary habits are one of the factors that influence the development of gastric cancer and, although it has been seen that the Mediterranean diet has a protective effect on this type of cancer, there are different indexes to assess the degree of adherence to this dietary pattern; this implies differences in the results obtained in the reduction of risk. The aim of this work was to assess the effect of adherence to the Mediterranean diet, measured with five different indexes, on the risk of gastric cancer. The aim was to assess the effect of adherence to the Mediterranean Diet, measured with five different indexes, on the risk of gastric cancer. Data come from the multicase-control study MCC-Spain, which included 354 gastric cancer cases and 3040 controls with data on diet. We used five indexes to evaluate adherence to the Mediterranean diet and assess the association between each pattern with the risk of gastric cancer, using multivariate logistic regression. The analyses were performed for the whole set of gastric cancer cases, by anatomical location (cardia and non-cardia) and by histological type (intestinal and diffuse). According to the used index, a high adherence protects one from gastric cancer (between 48% (aOR = 0.52; CI 95% = 0.28-0.94) and 75% (aOR = 0.25; CI 95% = 0.12-0.52)), from non-cardia (between 48% (aOR = 0.52; CI 95% = 0.36-0.75) and 65% (aOR = 0.35; CI 95% = 0.23-0.52)), and from the intestinal type (between 41% (aOR = 0.59; CI 95% = 0.36-0.95) and 72% (aOR = 0.28; CI 95% = 0.16-0.50)), but not from the diffuse type. In conclusion, high adherence to a Mediterranean diet pattern is a protective factor for the risk of gastric cancer, with greater adherence leading to greater protection.

OBJECTIVE: The European Commission recommends ensuring equity in cancer screening. The aim of this study was to find out if there were inequalities in access to cancer screening programmes in Spain. METHODS: A transversal study was carried out by means of a survey addressed to the people responsible for breast, colorectal (CRC) and cervical cancer screening programmes in the 19 Autonomous Communities (AC) of Spain in 2013 and 2020. Information was collected on organizational characteristics, inequalities in access and interventions to reduce them. A descriptive analysis was made by AC and time period, by calculating frequencies and percentages, depending on the type of programme (breast, CRC and cervix). RESULTS: In 2013, 14 ACs participated for the breast programme, 8 for the CRC and 7 for the cervical programme; and in 2020, 14, 13 and 11 ACs respectively. All breast programmes were population-based in both periods (14/14 in 2013 and 14/14 in 2020), as well as CRC ones (8/8 in 2013 and 13/13 in 2020), with an increase in cervical cancer programmes (0/7 en 2013 y 6/11 en 2020). In both periods, social groups not included in the target population and groups that were less involved were identified, with differences according to the type of programme. A total of 53 interventions were carried out to reduce inequalities in access (27 in breast, 22 in RCC and 4 in cervical), 66% of them aimed at specific social groups (35/53). CONCLUSIONS: Inequalities in access to cancer screening programmes in Spain are identified, as well as interventions to reduce them.

Background: The role of fatty acids (FAs) on mammographic density (MD) is unclear, and available studies are based on self-reported dietary intake. Objectives: This study assessed the association between specific serum phospholipid fatty acids (PLFAs) and MD in premenopausal women. Methods: The cross-sectional study DDM-Madrid recruited 1392 Spanish premenopausal women, aged 39-50 y, who attended a screening in a breast radiodiagnosis unit of Madrid City Council. Women completed lifestyle questionnaires and FFQs. Percentage MD was estimated using a validated computer tool (DM-Scan), and serum PLFA percentages were measured by GC-MS. Multivariable linear regression models were used to quantify the association of FA tertiles with MD. Models were adjusted for age, education, BMI, waist circumference, parity, oral contraceptive use, previous breast biopsies, and energy intake, and they were corrected for multiple testing. Results: Women in the third tertile of SFAs showed significantly higher MD compared with those in the first tertile (beta(T3vsT1) = 7.53; 95% CI: 5.44, 9.61). Elevated relative concentrations of palmitoleic (beta(T3vsT1) = 3.12; 95% CI: 0.99, 5.25) and gondoic (beta(T3vsT1) = 2.67; 95% CI: 0.57, 4.77) MUFAs, as well as high relative concentrations of palmitelaidic (beta(T3vsT1) = 5.22; 95% CI: 3.15, 7.29) and elaidic (beta(T3vsT1) = 2.69; 95% CI: 0.59, 4.79) trans FAs, were also associated with higher MD. On the contrary, women with elevated relative concentrations of n-6 (omega-6) linoleic (beta(T3vsT1) = -5.49; 95% CI; -7.62, -3.35) and arachidonic (beta(T3vsT1) = -4.68; 95% CI: -6.79, -2.58) PUFAs showed lower MD. Regarding desaturation indices, an elevated palmitoleic to palmitic ratio and a low ratio of oleic to steric and arachidonic to dihomo. gamma-linolenic acids were associated with higher MD. Conclusions: Spanish premenopausal women with high relative concentrations of most SFAs and some MUFAs and trans FAs showed an increased MD, whereas those with high relative concentrations of some n-6 PUFAs presented lower density. These results, which should be confirmed in further studies, underscore the importance of analyzing serum FAs individually.

Background and Objective: Breast cancer is the most frequent cancer in women. The Spanish healthcare network established population-based screening programs in all Autonomous Communities, where mammograms of asymptomatic women are taken with early diagnosis purposes. Breast density assessed from digital mammograms is a biomarker known to be related to a higher risk to develop breast cancer. It is thus crucial to provide a reliable method to measure breast density from mammograms. Furthermore the complete automation of this segmentation process is becoming fundamental as the amount of mammograms increases every day. Important challenges are related with the differences in images from different devices and the lack of an objective gold standard. This paper presents a fully automated framework based on deep learning to estimate the breast density. The framework covers breast detection, pectoral muscle exclusion, and fibroglandular tissue segmentation. Methods: A multi-center study, composed of 1785 women whose "for presentation" mammograms were segmented by two experienced radiologists. A total of 4992 of the 6680 mammograms were used as training corpus and the remaining (1688) formed the test corpus. This paper presents a histogram normalization step that smoothed the difference between acquisition, a regression architecture that learned segmentation parameters as intrinsic image features and a loss function based on the DICE score. Results: The results obtained indicate that the level of concordance (DICE score) reached by the two radiologists (0.77) was also achieved by the automated framework when it was compared to the closest breast segmentation from the radiologists. For the acquired with the highest quality device, the DICE score per acquisition device reached 0.84, while the concordance between radiologists was 0.76. Conclusions: An automatic breast density estimator based on deep learning exhibits similar performance when compared with two experienced radiologists. It suggests that this system could be used to support radiologists to ease its work. (c) 2020 Elsevier B.V. All rights reserved.

Background: The breast dense tissue percentage on digital mammograms is one of the most commonly used markers for breast cancer risk estimation. Geometric features of dense tissue over the breast and the presence of texture structures contained in sliding windows that scan the mammograms may improve the predictive ability when combined with the breast dense tissue percentage. Methods: A case/control study nested within a screening program covering 1563 women with craniocaudal and mediolateral-oblique mammograms (755 controls and the contralateral breast mammograms at the closest screening visit before cancer diagnostic for 808 cases) aging 45 to 70 from Comunitat Valenciana (Spain) was used to extract geometric and texture features. The dense tissue segmentation was performed using DMScan and validated by two experienced radiologists. A model based on Random Forests was trained several times varying the set of variables. A training dataset of 1172 patients was evaluated with a 10-stratified-fold cross-validation scheme. The area under the Receiver Operating Characteristic curve (AUC) was the metric for the predictive ability. The results were assessed by only considering the output after applying the model to the test set, which was composed of the remaining 391 patients. Results: The AUC score obtained by the dense tissue percentage (0.55) was compared to a machine learning-based classifier results. The classifier, apart from the percentage of dense tissue of both views, firstly included global geometric features such as the distance of dense tissue to the pectoral muscle, dense tissue eccentricity or the dense tissue perimeter, obtaining an accuracy of 0.56. By the inclusion of a global feature based on local histograms of oriented gradients, the accuracy of the classifier was significantly improved (0.61). The number of well-classified patients was improved up to 236 when it was 208. Conclusion: Relative geometric features of dense tissue over the breast and histograms of standardized local texture features based on sliding windows scanning the whole breast improve risk prediction beyond the dense tissue percentage adjusted by geometrical variables. Other classifiers could improve the results obtained by the conventional Random Forests used in this study. (C) 2019 Elsevier B.V. All rights reserved.

Objectives The association between occupational exposures and mammographic density (MD), a marker of breast cancer risk, has not been previously explored. Our objective was to investigate the influence of occupational exposure to chemical, physical and microbiological agents on MD in adult women. Methods This is a population-based cross-sectional study based on 1476 female workers aged 45-65 years from seven Spanish breast cancer screening programmes. Occupational history was surveyed by trained staff. Exposure to occupational agents was assessed using the Spanish job-exposure matrix MatEmESp. Percentage of MD was measured by two radiologists using a semiautomatic computer tool. The association was estimated using mixed log-linear regression models adjusting for age, education, body mass index, menopausal status, parity, smoking, alcohol intake, type of mammography, family history of breast cancer and hormonal therapy use, and including screening centre and professional reader as random effects terms. Results Although no association was found with most of the agents, women occupationally exposed to perchloroethylene (e(beta)=1.51; 95% CI 1.04 to 2.19), ionising radiation (e(beta)=1.23; 95% CI 0.99 to 1.52) and mould spores (e(beta)=1.44; 95% CI 1.01 to 2.04) tended to have higher MD. The percentage of density increased 12% for every 5 years exposure to perchloroethylene or mould spores, 11% for every 5 years exposure to aliphatic/alicyclic hydrocarbon solvents and 3% for each 5 years exposure to ionising radiation. Conclusions Exposure to perchloroethylene, ionising radiation, mould spores or aliphatic/alicyclic hydrocarbon solvents in occupational settings could be associated with higher MD. Further studies are needed to clarify the accuracy and the reasons for these findings.

Objectives: Mammographic density (MD) is a strong risk factor for breast cancer. The present study evaluates the association between relative caloric intake and MD in Spanish women. Study design: We conducted a cross-sectional study in which 3517 women were recruited from seven breast cancer screening centers. MD was measured by an experienced radiologist using craniocaudal mammography and Boyd's semi-quantitative scale. Information was collected through an epidemiological survey. Predicted calories were calculated using linear regression models, including the basal metabolic rate and physical activity as explanatory variables. Overeating and caloric restriction were defined taking into account the 99% confidence interval of the predicted value. Odds ratios (OR) and 95% confidence intervals (95%CI) were estimated using center-specific mixed ordinal logistic regression models, adjusted for age, menopausal status, body mass index, parity, tobacco use, family history of breast cancer, previous biopsies, age at menarche and adherence to a Western diet. Main outcome measure: Mammographic density. Results: Those women with an excessive caloric intake ( > 40% above predicted) presented higher MD (OR = 1.41, 95%CI = 0.97-2.03; p = 0.070). For every 20% increase in relative caloric consumption the probability of having higher MD increased by 5% (OR = 1.05, 95%CI = 0.98-1.14; p = 0.178), not observing differences between the categories of explanatory variables. Caloric restriction was not associated with MD in our study. Conclusions: This is the first study exploring the association between MD and the effect of caloric deficit or excessive caloric consumption according to the energy requirements of each woman. Although caloric restriction does not seem to affect breast density, a caloric intake above predicted levels seems to increase this phenotype.

OBJECTIVE: In this study, the results of six Colorectal Cancer Screening Population Programmes are shown (Catalonia, Valence, Murcia, Cantabria, the Basque Country and the Canary Islands collected between 2005 and 2012. These programmes use the faeces occult blood test (FOBt) biennial. Objective: To determine and compare the results of lesions detected by the programmes, participation, sex, age and test used. METHODS: Retrospective cohort study based on people invited, aged between 50-74 years, in at least a complete round. Lesions considered: Advanced Adenomas (AA), Colorectal Invasive Cancer (CRC) and both of them, known as Advanced Neoplasia (AN). Logistic Regression and time trends are used. RESULTS: 1,995,719 of invitations registered, with an average participation-rate of 46.7%. 21,228 Advanced Neoplasias (2,813 CRC and 18,415 AA). Differences in detection rates observed between programmes (varying from 15.1 to 35.8 between participants). Participation rates were related to lesions' detection rates (OR 1.25 in 40-60% of participation). . Inmunochemical qualitative test showed an OR of 4.79 and quantitative test an OR of 7.30 over the guaiac test. Men showed an OR of 2.73 with respect to women. In 2012 the Advanced Neoplasia rate for women and men was 33.1 and 14.2 by 1,000 participants. CONCLUSIONS: The test used was the most important factor for detecting lesions. Time trends showed an increase in detected lesions caused by the change of the type of test in 2010. OBJETIVO: En este estudio se presentan los resultados de seis programas poblacionales de cribado de cancer colorrectal desde 2005 a 2012 (Cataluna, Valencia, Murcia, Cantabria, Pais Vasco y Canarias) que utilizan diferentes tipos de test de cribado de sangre oculta en heces (SOH) bienal. El objetivo fue describir y comparar los resultados en cuanto a lesiones detectadas tanto por programa, participacion, sexo, edad, tipo de test y comunidad autonoma. METODOS: Estudio de cohorte retrospectivo de las personas participantes en al menos una ronda completa cuya edad estaba comprendida entre los 50 y los 74 anos. Lesiones consideradas: adenomas avanzados (AA), cancer aolorrectal invasivo (CCR) y la suma de ambos, neoplasia avanzada (NA). Se realizo un nalisis de regresion logistica y estudio de tendencias temporales. RESULTADOS: Se obtuvieron 1.995.719 participaciones, lo que supuso el 46,7% de las invitaciones a participar. Se detectaron 21.228 neoplasias avanzadas (2.813 CCR y 18.415 AA). Se observaron diferencias en la deteccion de neoplasia avanzada (NA) entre los programas variando entre 15,1 y 35,8 participantes. La participacion se relaciono con las tasas de deteccion (OR: 1,25 en 40-60% de participacion). El test inmunoquimico cualitativo obtuvo una OR de 4,79 y el cuantitativo de 7,30 sobre guayaco. Los hombres tuvieron una OR de 2,73 sobre las mujeres, observandose en el 2012 una tasa de deteccion de neoplasia avanzada en hombres y mujeres de 33,1 y 14,2 x 1.000 respectivamente. CONCLUSIONES: El tipo de test resulto el factor mas determinante en la deteccion de lesiones. Las tendencias temporales mostraron un aumento de la tasa de deteccion por el cambio de test a partir del 2010.

Objectives: The association between breast cancer (BC) and thyroid disorders has been widely explored with unclear results. Mammographic density (MD) is one of the strongest risk factor for BC. This study explores the relationship between thyroid diseases and MD in Spanish women. Materials & methods: This cross-sectional study covered 2883 women aged 47-71 years participating in 7 BC screening programs in 2010. They allowed access to their mammograms, had anthropometrical-measures taken, and answered a telephonic epidemiological interview which included specific questions on thyroid diseases. Percentage of MD was assessed with a semiautomatic-computer tool (DM-scan) by two trained radiologists. We calculated the geometric mean of MD percentages (mean MD). Multivariable mixed linear regression models with random screening-center-specific intercepts were fitted, using log-transformed percentage of MD as dependent variable and adjusting for age, body mass index, menopausal status and other confounders. e(beta) represents the relative increase of mean MD. Results: 13.9% of the participants reported personal history of thyroid disease. MD was not associated to hyperthyroidism (e(beta): 1.05, 95%CI: 0.82-1.36), hypothyroidism (e(beta):1.02, 95%CI: 0.75-1.38), thyroid nodules (e(beta):1.01, 95%CI: 0.85-1.19) or thyroid cancer (e(beta):1.03, 95%CI: 0.56-1.92). However, women with goiter had lower MD (mean MDno-goiter: 13.4% vs mean MDgoiter: 10.6%; e(beta):0.79, 95%CI: 0.64-0.98) and those with Hashimoto thyroiditis had higher MD (mean MDno-thyroiditis: 13.3% vs mean MDthyroidits: 25.8%; e(beta) 95%CI: 1.00-3.77). Conclusion: Functional thyroid disorders were not related to MD. However, MD was lower in women with goiter and higher in those reporting Hashimoto's thyroiditis. These relationships should be confirmed in future studies. (C) 2017 Elsevier Ltd. All rights reserved.

Background: Night-shift work (NSW) has been suggested as a possible cause of breast cancer, and its association with mammographic density (MD), one of the strongest risk factors for breast cancer, has been scarcely addressed. This study examined NSW and MD in Spanish women. Methods: The study covered 2,752 women aged 45-68 years recruited in 2007-2008 in 7 population-based public breast cancer screening centers, which included 243 women who had performed NSW for at least one year. Occupational data and information on potential confounders were collected by personal interview. Two trained radiologist estimated the percentage of MD assisted by a validated semiautomatic computer tool (DM-scan). Multivariable mixed linear regression models with random screening center-specific intercepts were fitted using log-transformed percentage of MD as the dependent variable and adjusting by known confounding variables. Results: Having ever worked in NSW was not associated with MD [e(beta):0.96; 95% confidence interval (CI), 0.86-1.06]. However, the adjusted geometric mean of the percentage of MD in women with NSW for more than 15 years was 25% higher than that of those without NSW history (MD>15 (years):20.7% vs. MDnever:16.5%; e(beta):1.25; 95% CI, 1.01-1.54). This association was mainly observed in postmenopausal participants (e(beta):1.28; 95% CI, 1.00-1.64). Among NSW-exposed women, those with

The Spanish Cancer Screening Network involves the participation of all regional programmes and has been working for over 20 years to co-ordinate strategies and implement quality assurance in current and new regional programmes. In colorectal cancer, the target population is the group aged 50-69 years, who are offered biennial testing using the faecal occult blood test in all programmes, with follow-up colonoscopy if the faecal occult blood test is positive. This article presents the main trends, indicators and differences by sex. The main indicators from 2006 to 2011 were analysed: coverage, participation rate, positivity rate, colonoscopy uptake and lesions detected. Annual trends were adjusted by sex and region. In 2011, coverage was 9.74% of the Spanish target population. A total of 1 001 669 first invitations were registered from 2006 to 2011 and 596 649 individuals participated in the programmes (43.83% participation rate). Results were positive in 30 544 individuals (5.47%), with the lowest positivity rate occurring in 2007 (3.06%) and the highest in 2011 (6.30%) (P < 0.001). In all, 27 568 colonoscopies were registered, with a high compliance rate (90.00% in 2011 and 95.59% in 2007) (P = 0.381). The adenoma and colorectal cancer detection rates increased over the period, reaching 32.25/1000 and 3.42/1000 participants in 2011, respectively (P < 0.001 and P = 0.001). Comparison of differences by sex showed that detection rates were significantly higher in men than in women (P < 0.001). Participation increased over time and has now reached an acceptable rate. Men show low participation but higher detection rates, indicating the need for further intervention. The Spanish Cancer Screening Network provides common evaluation, performance and organizational benchmarking. Copyright (C) 2016 Wolters Kluwer Health, Inc. All rights reserved.

OBJECTIVE: To examine the association between two dietary patterns (Western and Mediterranean), previously linked to breast cancer risk, and mammographic density. METHODS: This cross-sectional study included 3,584 women attending population-based breast cancer screening programs and recruited between October 7, 2007, and July 14, 2008 (participation rate 74.5%). Collected data included anthropometric measurements; demographic, obstetric, and gynecologic characteristics; family and personal health history; and diet in the preceding year. Mammographic density was blindly assessed by a single radiologist and classified into four categories: less than 10%, 10-25%, 25-50%, and greater than 50%. The association between adherence to either a Western or a Mediterranean dietary pattern and mammographic density was explored using multivariable ordinal logistic regression models with random center-specific intercepts. Models were adjusted for age, body mass index, parity, menopause, smoking, family history, hormonal treatment, and calorie and alcohol intake. Differences according to women's characteristics were tested including interaction terms. RESULTS: Women with a higher adherence to the Western dietary pattern were more likely to have high mammographic density (n=242 [27%]) than women with low adherence (n=169 [19%]) with a fully adjusted odds ratio (ORQ4vsQ1) of 1.25 (95% confidence interval [CI] 1.03-1.52). This association was confined to over-weight-obese women (adjusted ORQ4vsQ1 [95% CI] 1.41 [1.13-1.76]). No association between Mediterranean dietary pattern and mammographic density was observed. CONCLUSION: The Western dietary pattern was associated with increased mammographic density among overweight-obese women. Our results might inform specific dietary recommendations for women with high mammographic density.

Objective: The use of some forms of hormone therapy (HT) is associated with an increase in mammographic density-a major risk factor for breast cancer. The role of isoflavones, however, is unclear. Here, we quantify the prevalence of HT and isoflavone use among postmenopausal Spanish women, determine associated risk factors, and explore the relationship between these therapies and mammographic density. Methods: This cross-sectional study included 2,754 postmenopausal women who underwent breast cancer screening in seven geographical areas. Mammographic density was evaluated using Boyd's semiquantitative scale. Multinomial logistic regression models were adjusted to assess risk factors associated with both therapies. Ordinal regression models were fitted to study the association between HT and isoflavone consumption with mammographic density. Results: The prevalence of ever-use of HT was 12%, whereas that of the current use was 2.3%. Isoflavone lifetime prevalence was 3.7%, and current use was 1.7%. The most common HT types were tibolone and estrogens. Surgical menopause, oral contraceptive use, educational level, population density, and years since menopause were positively associated with HT, whereas body mass index and parity were inversely associated. Mammographic density was not associated with current or past HT use. However, women who reported having consumed isoflavones in the past and those who started their use after menopause had a higher mammographic density when compared with never-users (odds ratio 1.98, 95% CI 1.21-3.25, P = 0.007; and odds ratio 1.60, 95% CI 1.01-2.53, P = 0.045 respectively). Conclusions: Our results show a low prevalence of HT and isoflavone use in postmenopausal Spanish women. In this population, HT use was not associated with mammographic density, whereas some categories of isoflavone users had higher density.

Mammographic density (MD) is an intermediate phenotype for breast cancer. Previous studies have identified genetic variants associated with MD; however, much of the genetic contribution to MD is unexplained. We conducted a two-stage genome-wide association analysis among the participants in the Determinants of Density in Mammographies in Spain study, together with a replication analysis in women from the Australian MD Twins and Sisters Study. Our discovery set covered a total of 3,351 Caucasian women aged 45 to 68 years, recruited from Spanish breast cancer screening centres. MD was blindly assessed by a single reader using Boyd's scale. A two-stage approach was employed, including a feature selection phase exploring 575,374 SNPs in 239 pairs of women with extreme phenotypes and a verification stage for the 183 selected SNPs in the remaining sample (2,873 women). Replication was conducted in 1,786 women aged 40 to 70 years old recruited via the Australian Twin Registry, where MD were measured using Cumulus-3.0, assessing 14 SNPs with a p value