Breast cancer is a global health issue affecting countries worldwide, imposing a significant economic burden due to expensive treatments and medical procedures, given the increasing incidence. In this review, our focus is on exploring the distinct imaging features of known molecular subtypes of breast cancer, underlining correlations observed in clinical practice and reported in recent studies. The imaging investigations used for assessment include screening modalities such as mammography and ultrasonography, as well as more complex investigations like MRI, which offers high sensitivity for loco-regional evaluation, and PET, which determines tumor metabolic activity using radioactive tracers. The purpose of this review is to provide a better understanding as well as a revision of the imaging differences exhibited by the molecular subtypes and histopathological types of breast cancer.

Mammography can reduce breast cancer incidence and mortality. Studies on the utilization of mammography among migrant and non-migrant women are inconsistent. Many of these studies do not take the heterogeneity of migrants in terms of ethnicity and country of origin into account. The aim of the present study was to examine disparities in the use of mammography between non-migrant women and the five largest migrant groups in Austria. The study used data from a nationwide population-based survey of 5118 women aged 45 years and older and analyzed the participation in mammography as a dependent variable. Multivariable logistic regression was used to compare mammography uptake between the aforementioned groups of women, while adjusting for socioeconomic and health variables. The study shows that all migrant groups involved tended to use mammography less frequently than non-migrant women; statistically significant differences, however, were only observed for Hungarian migrant women (adjusted OR = 0.36; 95%-CI: 0.13, 0.95; p = 0.038) and women from a Yugoslavian successor state (adjusted OR = 0.55; 95%-CI: 0.31, 0.99; p = 0.044). These findings are consistent with other studies in Europe and beyond, highlighting the heterogeneity of migrant populations and emphasizing the need for a diversity-sensitive approach to health care.

In order to increase the likelihood of obtaining treatment and achieving a complete recovery, early illness identification and diagnosis are crucial. Artificial intelligence is helpful with this process by allowing us to rapidly start the necessary protocol for treatment in the early stages of disease development. Artificial intelligence is a major contributor to the improvement of medical treatment for patients. In order to prevent and foresee this problem on the individual, family, and generational levels, Monitoring the patient\'s therapy and recovery is crucial. This study\'s objective is to outline a non-invasive method for using mammograms to detect breast abnormalities, classify breast disorders, and identify cancerous or benign tumor tissue in the breast. We used classification models on a dataset that has been pre-processed so that the number of samples is balanced, unlike previous work on the same dataset. Identifying cancerous or benign breast tissue requires the use of supervised learning techniques and algorithms, such as random forest (RF) and decision tree (DT) classifiers, to examine up to thirty features, such as breast size, mass, diameter, circumference, and the nature of the tumor (solid or cystic). To ascertain if the tissue is malignant or benign, the examination\'s findings are employed. These features are mostly what determines how effectively anything may be categorized. The DT classifier was able to get a score of 95.32%, while the RF satisfied a far higher 98.83 percent.

BACKGROUND: Despite the relatively low breast cancer incidence in Estonia, mortality remains high, and participation in mammography screening is below the recommended 70%. The objective of this register-based study was to evaluate incidence-based (IB) breast cancer mortality before and after the introduction of organized mammography screening in 2004.
METHODS: Breast cancer deaths individually linked to breast cancer diagnosis were obtained from the Estonian Cancer Registry and used for calculating IB mortality. We compared age-specific IB mortality rates across 5-year birth cohorts and 5-year periods. Poisson regression was used to compare IB mortality for one age group invited to screening (50-63) and three age groups not invited to screening (30-49, 65-69, and 70+) during two periods before and after screening initiation (1993-2003 and 2004-2014). Joinpoint regression was used for age-standardized incidence and IB mortality trends.
RESULTS: Age-standardized IB mortality has been decreasing since 1997. Age-specific IB mortality for birth cohorts never exposed to screening showed a continuous increase with age, while in cohorts exposed to organized screening the mortality curve flattened or declined after the age of first invitation. Significant decreases in mortality from 1993-2003 to 2004-2014 were seen in the 30-49 (age-adjusted rate ratio 0.51, 95% CI 90.42-0.63) and 50-63 (0.65, 95% CI 0.56-0.74) age groups, while no decline was seen in the 65-69 and 70+ age groups.
CONCLUSIONS: The age specific IB mortality curves in birth cohorts exposed to screening and the significant mortality decline in the target age group after the initiation of the organized program suggest a beneficial effect of screening. Improved treatment without screening has not reduced mortality in older age groups. Our results support raising the upper screening age limit to 74 years.

BACKGROUND: Breast cancer remains a pervasive threat to women worldwide, with increasing incidence rates necessitating effective screening strategies. Timely detection with mammography has emerged as the primary tool for mass screening. This retrospective study, which is part of the Chiraiya Project, aimed to evaluate breast lesion patients identified during opportunistic mammography screening camps in Jammu Province, India.
METHODS: A total of 1505 women aged 40 years and older were screened using a mobile mammographic unit over a five-year period, excluding 2020 and 2021 due to the COVID-19 pandemic. The inclusion criterion was women in the specified age group, while the exclusion criterion was women with open breast wounds, history of breast cancer or a history of breast surgery. The screening process involved comprehensive data collection using a detailed Proforma, followed by mammographic assessments conducted within strategically stationed mobile units. Radiological interpretations utilizing the BI-RADS system were performed, accompanied by meticulous documentation of patient demographics, habits, literacy, medical history, and breastfeeding practices. Participants were recruited through collaborations with NGOs, army camps, village panchayats, and urban cooperatives. Screening camps were scheduled periodically, with each camp accommodating 90 patients or fewer.
RESULTS: Among the 1505 patients, most were aged 45-50 years. The number of screenings increased yearly, peaking at 441 in 2022. The BI-RADS II was the most common finding (48.77%), indicating the presence of benign lesions, while the BI-RADS 0 (32.96%) required further evaluation. Higher-risk categories (BI-RADS III, IV, V) were less common, with BI-RADS V being the rarest. Follow-up adherence was highest in the BI-RADS III, IV, and V categories, with BI-RADS V achieving 100% follow-up. However, only 320 of 496 BI-RADS 0 patients were followed up, indicating a gap in continuity of care. The overall follow-up rate was 66.89%. Compared to urban areas, rural areas demonstrated greater screening uptake but lower follow-up rates, highlighting the need for tailored interventions to improve follow-up care access, especially in rural contexts.
CONCLUSIONS: This study underscores the efficacy of a mobile mammographic unit in reaching marginalized populations. Adherence to screening protocols has emerged as a linchpin for early detection, improved prognosis, and holistic public health enhancement. Addressing misconceptions surrounding mammographic screenings, especially in rural settings, is crucial. These findings call for intensified efforts in advocacy and education to promote the benefits of breast cancer screening initiatives. Future interventions should prioritize improving access to follow-up care and addressing screening to enhance breast cancer management in Jammu Province.

BACKGROUND: Breast and cervical cancer are major public health issues globally. The reduction in incidence and mortality rates of these cancers is linked to effective prevention, early detection, and appropriate treatment measures. This study aims to analyze the temporal trends in the prevalence of mammography and Papanicolaou test coverage among women living in Brazilian state capitals between 2007 and 2023, and to compare the coverage of these tests before and during the Covid-19 pandemic.
METHODS: A time series study was conducted using data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey from 2007 to 2023. The variables analyzed included mammography and Papanicolaou test coverage according to education level, age group, race/skin color, regions, and Brazilian capitals. The Prais-Winsten regression model was used to analyze the time series, and Student\'s t-test was employed to compare the prevalence rates between 2019 and 2023.
RESULTS: Between 2007 and 2023, mammography coverage showed a stationary trend (71.1% in 2007 and 73.1% in 2023; p-value = 0.75) with a declining trend observed among women with 12 years or more of education (APC= -0.52% 95%CI -1.01%; -0.02%). Papanicolaou test coverage for all women aged between 25 and 64 exhibited a downward trend from 82% in 2007 to 76.8% in 2023 (APC= -0.45% 95%CI -0.76%; -0.13%). This decline was also noticed among those with 9 years or more of education; in the 25 to 44 age group; among women with white and mixed race; and in the Northeast, Central-West, Southeast, and South regions. When comparing coverage before and during Covid-19 pandemic, a reduction was noted for both tests.
CONCLUSIONS: Over the years, there has been stability in mammography coverage and a decline in Papanicolaou test. The COVID-19 pandemic negatively impacted the number of these tests carried out among women, highlighting the importance of actions aimed at increasing coverage, especially among the most vulnerable groups.

UNASSIGNED: To analyze whether the COVID-19 pandemic had an impact on the screening, diagnosis and treatment of breast cancer in women up to 50 years of age in the state of Pará.
UNASSIGNED: Retrospective, cross-sectional study with a quantitative approach, using data from the Information Technology Department of the Brazilian Unified Health System. (DATASUS). The number of exams carried out in the pre-pandemic (2018-2019) and pandemic (2020-2021) period was analyzed based on the percentage variation, application of the chi-square test and G test for the time of exams and start time of treatment.
UNASSIGNED: During the pandemic period, there was a greater number of screening mammograms (+3.68%), cytological (+23.68%), histological (+10.7%) and a lower number of diagnostic mammograms (-38.7%). The time interval for carrying out the exams was up to 30 days for screening and diagnostic exams and more than 60 days to start treatment during the pandemic period.
UNASSIGNED: Although the results indicate an increase in the number of screening and diagnostic procedures for breast cancer during the pandemic period, with the exception of diagnostic mammography, when considering probability values, the study points out that statistically the COVID-19 pandemic did not interfere with actions of breast cancer, in women over 50 years of age, in the state of Pará. Considering the autonomy of nursing and its role in public health, it is up to the professionals who are in charge of primary care programs to implement contingency plans in periods of crisis so that the population is not left unassisted.

The early detection of breast cancer enables more effective forms of treatment. However, widespread access to its main screening tool, mammography, remains a challenge for the Brazilian public health system. This study aimed to analyze the effect of allocating mammography equipment on women\'s health indicators. In 2013, of the 4,557 municipalities that lacked the equipment, 260 received it up to 2019. The main hypothesis of this study suggests that receiving the mammography device would show a heterogeneous effect between locations and that such receival would depend on observable (propensity score matching) and non-observable variables (fixed effects model). Results indicate that the Brazilian municipalities that had mammography equipment in use from 2014 onward increased their number of exams without short-term effects to diagnoses and deaths due to malignant breast neoplasia. In addition to equipment, a more complex structure involving other factors (such as access to consultations, qualified professionals, waiting time, etc.) is important to improve women\'s health indicators in the analyzed municipalities.
A detecção precoce de câncer de mama permite formas de tratamentos mais eficazes. Entretanto, o acesso generalizado à principal ferramenta de rastreamento, a mamografia, ainda é um desafio para o sistema público de saúde brasileiro. Este estudo tem o objetivo de analisar o efeito da alocação de mamógrafos sobre indicadores de saúde da mulher. Em 2013, dentre os 4.557 municípios que não tinham o equipamento, 260 receberam até 2019. A principal hipótese é que o efeito de receber o mamógrafo seja heterogêneo entre as localidades e que receber o equipamento dependa de variáveis observáveis (pareamento por escore de propensão) e não observáveis (modelo de efeitos fixos). Os resultados indicam que os municípios brasileiros que tiveram mamógrafo em uso a partir de 2014 obtiveram aumentos na realização de exames, porém sem efeitos de curto prazo para diagnósticos e óbitos por neoplasia maligna da mama. Além de equipamentos, uma estrutura mais complexa que envolve outros fatores como acesso a consultas, profissionais qualificados, tempo de espera etc. são importantes para melhorar os indicadores de saúde femininos no recorte de municípios analisados.
La detección temprana del cáncer de mama permite formas de tratamientos más eficaces. Sin embargo, el acceso generalizado a la principal herramienta de seguimiento, la mamografía, sigue siendo un desafío para el sistema público de salud brasileño. Este estudio tiene como objetivo analizar el efecto de la asignación de mamógrafos en los indicadores de salud de la mujer. En 2013, de los 4.557 municipios que no tenían el equipo, 260 lo recibieron hasta 2019. La hipótesis principal es que el efecto de recibir un mamógrafo es heterogéneo entre las localidades y que recibir el equipo depende de variables observables (emparejamiento por puntaje de propensión) y no observables (modelo de efectos fijos). Los resultados indican que en los municipios brasileños que han tenido mamógrafo en uso a partir de 2014 obtuvieron aumentos en la realización de exámenes, pero sin efectos a corto plazo sobre los diagnósticos y las muertes por neoplasia maligna de la mama. Además de los equipos, una estructura más compleja que involucra otros factores como el acceso a consultas, profesionales calificados, tiempo de espera, etc. son importantes para mejorar los indicadores de salud de las mujeres en el recorte de municipios analizados.

Breast cancer affects thousands of women across the world, every year. Methods to predict risk of breast cancer, or to stratify women in different risk levels, could help to achieve an early diagnosis, and consequently a reduction of mortality. This paper aims to review articles that extracted texture features from mammograms and used those features along with machine learning algorithms to assess breast cancer risk. Besides that, deep learning methodologies that aimed for the same goal were also reviewed. In this work, first, a brief introduction to breast cancer statistics and screening programs is presented; after that, research done in the field of breast cancer risk assessment are analyzed, in terms of both methodologies used and results obtained. Finally, considerations about the analyzed papers are conducted. The results of this review allow to conclude that both machine and deep learning methodologies provide promising results in the field of risk analysis, either in a stratification in risk groups, or in a prediction of a risk score. Although promising, future endeavors in this field should consider the possibility of the implementation of the methodology in clinical practice.

BACKGROUND: Internationally, non-participation in breast screening increased with decreasing level of education indicating importance of information campaigns to enhance awareness of screening. However, in Denmark in the 1990s the association between education and non-participation was U-shaped. We therefore analyzed recent Danish data.
METHODS: Data derived from the Capital Region of Denmark, biennial, organized breast screening program 2008-2020, where women aged 50-69 were personally invited to screening. Non-participation was measured as number of women with no participation out of women eligible for at least three invitations. Sociodemographic determinants were identified by linkage to public registers. Results were reported as age adjusted odds ratios (OR) of non-participation including 95% confidence intervals (CI).
RESULTS: Among 196,085 women, 86% participated. Using women with low education as baseline, the OR for professional bachelors was 0.64; and for academics 0.75. The strongest determinants of non-participation were being non-married OR 2.03; born outside Denmark OR 2.04; being self-employed OR 1.67; retired OR 3.12; on public support OR 3.66; or having co-morbidity OR 1.56.
CONCLUSIONS: The U-shaped association between education and non-participation in breast screening prevailed. The data further indicated that screening participation was low in women with pertinent health and social problems.