[Adequacy of provision of procedures for early detection of breast cancer in the Brazilian Unified National Health System: a cross-sectional study conducted in Brazil and its regions, 2019]. / Adequação da oferta de procedimentos para a detecção precoce do câncer de mama no Sistema Único de Saúde: um estudo transversal, Brasil e regiões, 2019.

Early detection is a major strategy in breast cancer control and, for this reason, it is important to ensure access to investigation of suspected cases for care continuity and timely treatment. This study aimed to estimate the need for procedures of breast cancer early detection and assess their adequacy for providing care to screened and symptomatic women in the Brazilian Unified National Health System (SUS) in 2019. A descriptive cross-sectional study was conducted to analyze the provision of tests for breast cancer early detection, comparing the estimated need with the procedures performed in the SUS. Parameters provided by the Brazilian National Cancer Institute were used to estimate the population and the need for early detection tests. The number of procedures performed in 2019 was obtained from the Outpatient Information System of the SUS. A deficit in screening mammograms was observed in the country (-45.1%), ranging from -31.4% in the South Region to -70.5 % in the North Region. If this test was offered to the target population, the deficit in the country would reduce to -14.8% and there would be an oversupply in the South Region (6.2%). Diagnostic investigation procedures varied between the regions, with higher deficits in coarse needle biopsy (-90.8%) and breast lump biopsy/excision (-80.6%) observed in the Central-West Region, and the highest deficit in anatomopathological exams in the North Region (-88.5%). The comparison between the production and need for procedures of breast cancer early detection in Brazil and its regions identified deficits and inadequacies that must be better understood and addressed at the state and municipal levels.

A detecção precoce é uma das estratégias para o controle do câncer de mama e, para tanto, é fundamental garantir o acesso à investigação dos casos suspeitos para continuidade do cuidado e tratamento oportuno. Este estudo tem por objetivo estimar a necessidade de procedimentos para detecção precoce dessa neoplasia e avaliar a sua adequação no atendimento às mulheres rastreadas e sintomáticas no Sistema Único de Saúde (SUS), no ano de 2019. Foi realizado um estudo descritivo transversal para analisar a oferta de exames de detecção precoce do câncer de mama, comparando a necessidade estimada com os procedimentos realizados no SUS. Foram utilizados os parâmetros disponibilizados pelo Instituto Nacional de Câncer para estimar a população e a necessidade de exames para a detecção precoce. No Sistema de Informações Ambulatoriais do SUS, obteve-se o número de procedimentos realizados em 2019. Observou-se um déficit de mamografias de rastreamento no país (-45,1%), variando entre -31,4% na Região Sul a -70,5% na Região Norte. Se a oferta desse exame fosse direcionada para a população-alvo do rastreamento, o déficit no país reduziria para -14,8% e haveria sobreoferta no Sul (6,2%). Os procedimentos de investigação diagnóstica apresentaram variações entre as regiões, com maiores déficits de punção por agulha grossa (-90,8%) e biópsia/exérese de nódulo da mama (-80,6%) observados no Centro-oeste, e o maior déficit de exames anatomopatológicos no Norte (-88,5%). A comparação entre a produção e a necessidade de procedimentos para detecção precoce do câncer de mama no Brasil identificou déficits e inadequações que devem ser melhor conhecidos e equacionados em nível estadual e municipal.

La detección temprana es una de las estrategias para el control del cáncer de mama y, para ello, es fundamental garantizar el acceso a la investigación de los casos sospechosos para la continuidad del cuidado y el tratamiento oportuno. El presente estudio tiene como objetivo estimar la necesidad de procedimientos para la detección temprana de esta neoplasia y evaluar su adecuación en la atención a las mujeres rastreadas y sintomáticas en el Sistema Único de Salud (SUS) brasileño, en el año 2019. Se realizó un estudio descriptivo transversal para analizar la oferta de pruebas para la detección temprana del cáncer de mama, comparando la necesidad estimada con los procedimientos realizados en el SUS. Se utilizaron los parámetros proporcionados por el Instituto Nacional del Cáncer para estimar la población y la necesidad de pruebas para la detección temprana. El número de procedimientos realizados en el 2019 se obtuvo del Sistema de Información Ambulatoria del SUS. Se observó un déficit de mamografías de tamizaje en el país (-45,1%), oscilando entre el -31,4% en la Región Sur y el -70,5% en la Región Norte. Si la oferta de esta prueba se dirigiera a la población objetivo del rastreo, el déficit en el país se reduciría al -14,8% y habría una sobreoferta en el Sur (6,2%). Los procedimientos de investigación diagnóstica presentaron variaciones entre regiones, observándose mayores déficits en punción con aguja gruesa (-90,8%) y biopsia/escisión de nódulo mamario (-80,6%) en el Centro-Oeste, y el mayor déficit de pruebas anatomopatológicas en el Norte (-88,5%). La comparación entre la producción y la necesidad de procedimientos para la detección temprana del cáncer de mama en Brasil y en las regiones identificó déficits e insuficiencias que deben ser mejor conocidos y abordados a nivel estatal y municipal.

Risk Factors and Mortality Among Women With Interval Breast Cancer vs Screen-Detected Breast Cancer.

Importance: The risk factors for interval breast cancer (IBC) compared with those for screen-detected breast cancer (SBC) and their association with mortality outcomes have not yet been evaluated among Korean women. Objective: To evaluate risk factors associated with IBC and survival among Korean women with IBC compared with those with SBC. Design, Setting, and Participants: This retrospective cohort study used data from the Korean National Health Insurance Service Database. Women who participated in a national mammographic breast cancer screening program between January 1, 2009, and December 31, 2012, were included. Mortality outcomes were calculated from the date of breast cancer diagnosis to the date of death or December 31, 2020. Data were analyzed from March 1 to June 30, 2023. Exposure: Breast cancer diagnosed within 6 to 24 months after a negative screening result (ie, IBC) or within 6 months after a positive screening result (ie, SBC). Main Outcomes and Measures: Risk factors and survival rates for IBC and SBC. Results: This study included 8702 women with IBC (mean [SD] age, 53.3 [8.6] years) and 9492 women with SBC (mean [SD] age, 54.1 [9.0] years). Compared with SBC, the probability of IBC decreased as mammographic density increased. Lower body mass index, menopausal status, hormone replacement therapy (HRT) use, and lack of family history of breast cancer were associated with a higher likelihood of IBC. When stratified by detection time, younger age at breast cancer diagnosis and family history of breast cancer were associated with an increased likelihood of IBC diagnosed at 6 to 12 months but a decreased likelihood of IBC diagnosed at 12 to 24 months. Overall mortality of IBC was comparable with SBC, but total mortality and cancer-related mortality of IBC diagnosed between 6 and 12 months was higher than that of SBC. Conclusions and Relevance: The findings of this cohort study suggest that breast density, obesity, and HRT use were associated with IBC compared with SBC. These findings also suggest that higher supplemental breast ultrasound use among Korean women, especially those with dense breasts, could be attributed to a lower incidence of IBC among women with dense breasts compared with women with SBC, due to greater detection. Finally, overall mortality of IBC was comparable with that of SBC.

Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center.

BACKGROUND: Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup. METHODS: We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression. RESULTS: Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern. CONCLUSIONS: These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

Scelte gestionali per sostenere e migliorare i programmi di screening oncologico.

Improving screening programmes in terms of increasing screening participation and providing appropriate follow-up is a major challenge requiring great planning. This contribution discusses the effect of a major intra-organizational intervention on three population-based oncological screening programs (i.e., breast, cervical, and colorectal cancers) active in a large Italian Screening Centre. A review of the literature data on the key elements for high-quality healthcare was conducted. The PRECEDE-PROCEED model was retrospectively used as a theoretical frame for the improvement strategies adopted in the Centre. Classification of interventions to increase participation was performed according by target: individual, population, health workers, tests, and health service management. To assess the impact of the reorganization on the three screening programmes, the 'participation rate in the first-level screening tests' indicator was considered; the years 2018, 2019, and 2022 were analyzed.The main factors driven by the change were optimization of resources (human and financial), a stronger leadership, a higher collaboration level, stakeholders' engagement, positive work culture, and continuous staff learning. Reminders to non-responders (mobile phone text-message and letter), delivery of publicity by media, offering the self-sampling method for HPV testing, and increasing accessibility were implemented.A significant increase in screening participation was observed for all screening programmes when comparing the participation rates in 2022 to those in 2018 and 2019. In particular, focusing on 2019 (the last standard activity year before the COVID-19 emergency), an increase in participation rate of 3% for breast, 8.5% for cervical, and 4.6% for colorectal cancer screening was observed. This increase can plausibly be an effect of the improvement strategies implemented in the Centre.Performance measurements and internal and external feedback are regularly conducted to ensure ongoing improvement.

[Analysis of predictive factors for non-adherence to organized screening for colorectal and breast cancers in the pre-pandemic period (2018-2019) in Lombardy Region (Northern Italy)]. / Analisi dei fattori predittivi della mancata adesione allo screening organizzato per i tumori del colon retto e della mammella nel periodo pre-pandemico (2018-2019) in Lombardia.

BACKGROUND: according to the International Agency for Cancer Research on Cancer, in 2022, breast cancer is the most common cancer in the Italian population, followed by colorectal cancer. Oncological screenings represent an effective secondary prevention strategy to counteract colorectal and breast cancers, significantly reducing mortality. In Lombardy Region (Northern Italy), screening programmes have been active since 2007, but adherence, especially in specific population subgroups, remains lower than expected. OBJECTIVES: to analyse potential predictors of non-adherence to colorectal and breast cancer screening in the Lombardy Region during the pre-pandemic period of 2018-2019. DESIGN: a retrospective cohort study aimed at investigating the role of sociodemographic variables, health status, and access to the healthcare system on non-adherence to colorectal and breast cancer screening. Statistical analyses were conducted separately by each Agency for Health Protection (ATS). The results of the models were synthesized across the Lombardy region through random-effects meta-analysis. SETTING AND PARTICIPANTS: residents within the territory of each ATS in Lombardy as of 01.01.2018 and aged between 49 and 69 years at the beginning of the follow-up. MAIN OUTCOMES MEASURES: adherence to colorectal and breast cancer screenings. RESULTS: during the study period, across the Lombardy Region, 2,820,138 individuals were eligible to participate in colorectal cancer screening, and 1,357,344 women were eligible to participate in breast cancer screening, with an invitation coverage of 87% and 86%, respectively.For breast cancer screening, older age, cardiopathy, chronic obstructive pulmonary disease (COPD), inflammatory bowel diseases (IBD), autoimmune diseases, and presence of a rare disease are associated with a reduced risk of non-adherence. Conversely, foreign citizenship, oncological diagnosis, transplant, chronic kidney disease/dialysis, diabetes, heart failure, arterial or cerebral vasculopathy, and presence of a neurological diagnosis are associated with significant excess risks of non-participation. For colorectal cancer screening, factors favouring adherence include female gender, older age, cardiopathy, COPD, autoimmune diseases, and having access/utilization of primary care. Non-adherence is associated with foreign citizenship, transplant, chronic kidney disease/dialysis, diabetes, heart failure, arterial or cerebral vasculopathy, IBD, neurological diseases, residence in assisted living facilities, use of integrated home care, and presence of disability. CONCLUSIONS: this is the first study conducted in the Lombardy Region which explores the theme of equity of access to organized screenings. This analysis highlights how sociodemographic determinants, chronic conditions, and access to the healthcare and social healthcare system constitute significant risk factors for non-adherence to screening programmes. Based on the results of this analysis, communication and/or organizational change interventions will be developed to counteract inequalities in access to effective prevention procedures.

Le disuguaglianze di accesso ai programmi di screening dei tumori della mammella, del colon retto e della cervice uterina sono aumentate durante il periodo pandemico. Risultati di un health equity audit condotto dall'Agenzia di Tutela della Salute d.

OBJECTIVES: to evaluate the disparities in access to cancer screening programmes in the Province of Pavia (Lombardy Region, Northern Italy), along with identifying the factors influencing these disparities; to assess the impact of the pandemic emergency on invitation and screening coverage in the three organized screening programmes, which are provided free of charge to the target population. DESIGN: observational retrospective study covering both the pre-pandemic and the pandemic periods. SETTING AND PARTICIPANTS: for breast cancer screening, the eligible population comprises women aged 45 to 74; colorectal cancer screening is offered to men and women aged 50 to 74; cervical cancer screening is tailored based on women age. The management of all three screening programmes is overseen by the Health Protection Agency of Pavia, which proactively invites the eligible population through invitation letters. MAIN OUTCOMES MEASURES: for each screening programme, the examination coverage (the number of screened individuals out of the total eligible population) was analysed considering its influencing factors, with a specific emphasis on equity-related factors such as demographics (sex, age), geographic factors (country and continent of birth, residential district), comorbidities. RESULTS: the SARS-CoV-2 pandemic has led to a reorganization of healthcare services and to a reduction of the offer, resulting in an overall reduction in test coverage for all three programmes (-16.3% for breast and colorectal cancer screening, -8.5% for cervical cancer screening). The disparities in coverage among various population groups, reflecting inequalities in access, further escalated from the pre-pandemic to the pandemic period. Noteworthy, equity-related predictors of reduced screening access were non-Italian nationality and residency in rural or mountainous districts. CONCLUSIONS: during periods of healthcare system strain, such as the pandemic, disparities in access can become more pronounced. It is crucial to implement measures for enhancing access to screening in a more equitable manner.

Ultrasensitive and Rapid Circulating Tumor DNA Liquid Biopsy Using Surface-Confined Gene Amplification on Dispersible Magnetic Nano-Electrodes.

Circulating tumor DNA (ctDNA) detection has been acknowledged as a promising liquid biopsy approach for cancer diagnosis, with various ctDNA assays used for early detection and treatment monitoring. Dispersible magnetic nanoparticle-based electrochemical detection methods have been proposed as promising candidates for ctDNA detection based on the detection performance and features of the platform material. This study proposes a nanoparticle surface-localized genetic amplification approach by integrating Fe3O4-Au core-shell nanoparticles into polymerase chain reactions (PCR). These highly dispersible and magnetically responsive superparamagnetic nanoparticles act as nano-electrodes that amplify and accumulate target ctDNA in situ on the nanoparticle surface upon PCR amplification. These nanoparticles are subsequently captured and subjected to repetitive electrochemical measurements to induce reconfiguration-mediated signal amplification for ultrasensitive (∼3 aM) and rapid (∼7 min) metastatic breast cancer ctDNA detection in vitro. The detection platform can also detect metastatic biomarkers from in vivo samples, highlighting the potential for clinical applications and further expansion to rapid and ultrasensitive multiplex detection of various cancers.

Implementing Standard Diagnosis and Treatment for Locally Advanced Breast Cancer Through Global Research in Latin America: Results From a Multicountry Pragmatic Trial.

PURPOSE: Breast cancer mortality rates in Latin America (LA) are higher than those in the United States, possibly because of advanced disease presentation, health care disparities, or unfavorable molecular subtypes. The Latin American Cancer Research Network was established to address these challenges and to promote collaborative clinical research. The Molecular Profiling of Breast Cancer Study (MPBCS) aimed to evaluate the clinical characteristics and treatment outcomes of LA participants with locally advanced breast cancer (LABC). PATIENTS AND METHODS: The MPBCS enrolled 1,449 participants from Argentina, Brazil, Chile, Mexico, and Uruguay. Through harmonized procedures and quality assurance measures, this study evaluated clinicopathologic characteristics, neoadjuvant chemotherapy response, and survival outcomes according to residual cancer burden (RCB) and the type of surgery. RESULTS: Overall, 711 and 480 participants in the primary surgery and neoadjuvant arms, respectively, completed the 5-year follow-up period. Overall survival was independently associated with RCB (worse survival for RCBIII-adjusted hazard ratio, 8.19, P < .001, and RCBII [adjusted hazard ratio, 3.69, P < .008] compared with RCB0 [pathologic complete response or pCR]) and type of surgery (worse survival in mastectomy than in breast-conserving surgery [BCS], adjusted hazard ratio, 2.97, P = .001). The hormone receptor-negative-human epidermal growth factor receptor 2-positive group had the highest proportion of pCR (48.9%). The analysis of the ASCO Quality Oncology Practice Initiative breast module revealed high compliance with pathologic standards but lower adherence to treatment administration standards. Notably, compliance with trastuzumab administration varied widely among countries (33.3%-88.7%). CONCLUSION: In LABC, we demonstrated the survival benefit of BCS and the prognostic effect of the response to available neoadjuvant treatments despite an important variability in access to key treatments. The MPBCS represents a significant step forward in understanding the real-world implementation of oncologic procedures in LA.

Advanced-stage breast cancer diagnosis and its determinants in Ethiopia: a systematic review and meta-analysis.

INTRODUCTION: Worldwide, breast cancer is the primary cause of illness and death. Unless early detected and treated breast cancer is a life-threatening tumor. Advanced-stage presentation is greatly linked with short survival time and increased mortality rates. In Ethiopia nationally summarized evidence on the level of advanced-stage breast cancer diagnosis is scarce. Therefore, this systematic review and meta-analysis aimed to determine the pooled prevalence of advanced-stage breast cancer diagnosis and its determinants in Ethiopia. METHOD: By following PRISMA guidelines, a systematic review and meta-analysis were carried out. To include relevant publications, a broad literature search was conducted in the African Online Journal, PubMed, Google Scholar, and Embase which are published until last search date; June 15, 2023. To prevent further duplication this review was registered in PROSPERO database with ID no of CRD42023435096. To determine the pooled prevalence, a weighted inverse variance random effect model was applied. I2 statistics and the Cochrane Q-test were computed to determine heterogeneity. To evaluate publication bias, a funnel plot, and Egger's regression test were used. RESULT: A total of 924 articles were sought and finally 20 articles were included in this review. The pooled prevalence of advanced-stage breast cancer diagnosis in Ethiopia was 72.56% (95%CI; 68.46-76.65%). Use of traditional medicine as first choice (AOR = 1.32, 95% CI: (1.13-1.55)), delay of > 3 months in seeking care (AOR = 1.24, 95% CI: (1.09-1.41)), diagnosis or health system delay of > 2 months (AOR = 1.27, 95% CI: (1.11-1.46)), rural residence (AOR = 2.04, 95% CI: (1.42 - 2.92)), and chief complaint of a painless breast lump (AOR = 2.67, 95% CI: (1.76-4.06)) were significantly associated to advanced-stage diagnosis. CONCLUSION: In Ethiopia, more than two-thirds of breast cancer cases are diagnosed at an advanced stage. Use of traditional medicine before diagnostic confirmation, delay in seeking care, health system delay, rural residence, and chief complaint of painless breast lump were positively associated with an advanced-stage diagnosis. Policymakers and program designers give great focus to those delays so as to seek and access modern diagnosis and treatment as early as possible specifically focusing on those who are rurally residing.

A Nanorobotics-Based Approach of Breast Cancer in the Nanotechnology Era.

We are living in an era of advanced nanoscience and nanotechnology. Numerous nanomaterials, culminating in nanorobots, have demonstrated ingenious applications in biomedicine, including breast cancer (BC) nano-theranostics. To solve the complicated problem of BC heterogeneity, non-targeted drug distribution, invasive diagnostics or surgery, resistance to classic onco-therapies and real-time monitoring of tumors, nanorobots are designed to perform multiple tasks at a small scale, even at the organelles or molecular level. Over the last few years, most nanorobots have been bioengineered as biomimetic and biocompatible nano(bio)structures, resembling different organisms and cells, such as urchin, spider, octopus, fish, spermatozoon, flagellar bacterium or helicoidal cyanobacterium. In this review, readers will be able to deepen their knowledge of the structure, behavior and role of several types of nanorobots, among other nanomaterials, in BC theranostics. We summarized here the characteristics of many functionalized nanodevices designed to counteract the main neoplastic hallmark features of BC, from sustaining proliferation and evading anti-growth signaling and resisting programmed cell death to inducing angiogenesis, activating invasion and metastasis, preventing genomic instability, avoiding immune destruction and deregulating autophagy. Most of these nanorobots function as targeted and self-propelled smart nano-carriers or nano-drug delivery systems (nano-DDSs), enhancing the efficiency and safety of chemo-, radio- or photodynamic therapy, or the current imagistic techniques used in BC diagnosis. Most of these nanorobots have been tested in vitro, using various BC cell lines, as well as in vivo, mainly based on mice models. We are still waiting for nanorobots that are low-cost, as well as for a wider transition of these favorable effects from laboratory to clinical practice.

Artificial intelligence-powered optimization of KI-67 assessment in breast cancer: enhancing precision and workflow efficiency. a literature review.

Breast Cancer (BC) has evolved from traditional morphological analysis to molecular profiling, identifying new subtypes. Ki-67, a prognostic biomarker, helps classify subtypes and guide chemotherapy decisions. This review explores how artificial intelligence (AI) can optimize Ki-67 assessment, improving precision and workflow efficiency in BC management. The study presents a critical analysis of the current state of AI-powered Ki-67 assessment. Results demonstrate high agreement between AI and standard Ki-67 assessment methods highlighting AI's potential as an auxiliary tool for pathologists. Despite these advancements, the review acknowledges limitations such as the restricted timeframe and diverse study designs, emphasizing the need for further research to address these concerns. In conclusion, AI holds promise in enhancing Ki-67 assessment's precision and workflow efficiency in BC diagnosis. While challenges persist, the integration of AI can revolutionize BC care, making it more accessible and precise, even in resource-limited settings.

Fine tuning deep learning models for breast tumor classification.

This paper proposes an approach to enhance the differentiation task between benign and malignant Breast Tumors (BT) using histopathology images from the BreakHis dataset. The main stages involve preprocessing, which encompasses image resizing, data partitioning (training and testing sets), followed by data augmentation techniques. Both feature extraction and classification tasks are employed by a Custom CNN. The experimental results show that the proposed approach using the Custom CNN model exhibits better performance with an accuracy of 84% than applying the same approach using other pretrained models, including MobileNetV3, EfficientNetB0, Vgg16, and ResNet50V2, that present relatively lower accuracies, ranging from 74 to 82%; these four models are used as both feature extractors and classifiers. To increase the accuracy and other performance metrics, Grey Wolf Optimization (GWO), and Modified Gorilla Troops Optimization (MGTO) metaheuristic optimizers are applied to each model separately for hyperparameter tuning. In this case, the experimental results show that the Custom CNN model, refined with MGTO optimization, reaches an exceptional accuracy of 93.13% in just 10 iterations, outperforming the other state-of-the-art methods, and the other four used pretrained models based on the BreakHis dataset.

Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization.

A prompt diagnosis of breast cancer in its earliest phases is necessary for effective treatment. While Computer-Aided Diagnosis systems play a crucial role in automated mammography image processing, interpretation, grading, and early detection of breast cancer, existing approaches face limitations in achieving optimal accuracy. This study addresses these limitations by hybridizing the improved quantum-inspired binary Grey Wolf Optimizer with the Support Vector Machines Radial Basis Function Kernel. This hybrid approach aims to enhance the accuracy of breast cancer classification by determining the optimal Support Vector Machine parameters. The motivation for this hybridization lies in the need for improved classification performance compared to existing optimizers such as Particle Swarm Optimization and Genetic Algorithm. Evaluate the efficacy of the proposed IQI-BGWO-SVM approach on the MIAS dataset, considering various metric parameters, including accuracy, sensitivity, and specificity. Furthermore, the application of IQI-BGWO-SVM for feature selection will be explored, and the results will be compared. Experimental findings demonstrate that the suggested IQI-BGWO-SVM technique outperforms state-of-the-art classification methods on the MIAS dataset, with a resulting mean accuracy, sensitivity, and specificity of 99.25%, 98.96%, and 100%, respectively, using a tenfold cross-validation datasets partition.

Implementation of a clinical breast exam and referral program in a rural district of Pakistan.

BACKGROUND: The role of clinical breast examination (CBE) for early detection of breast cancer is extremely important in lower-middle-income countries (LMICs) where access to breast imaging is limited. Our study aimed to describe the outcomes of a community outreach breast education, home CBE and referral program for early recognition of breast abnormalities and improvement of breast cancer awareness in a rural district of Pakistan. METHODS: Eight health care workers (HCW) and a gynecologist were educated on basic breast cancer knowledge and trained to create breast cancer awareness and conduct CBE in the community. They were then deployed in the Dadu district of Pakistan where they carried out home visits to perform CBE in the community. Breast cancer awareness was assessed in the community using a standardized questionnaire and standard educational intervention was performed. Clinically detectable breast lesions were identified during home CBE and women were referred to the study gynecologist to confirm the presence of clinical abnormalities. Those confirmed to have clinical abnormalities were referred for imaging. Follow-up home visits were carried out to assess reasons for non-compliance in patients who did not follow-through with the gynecologist appointment or prescribed imaging and re-enforce the need for follow-up. RESULTS: Basic breast cancer knowledge of HCWs and study gynecologist improved post-intervention. HCWs conducted home CBE in 8757 women. Of these, 149 were warranted a CBE by a physician (to avoid missing an abnormality), while 20 were found to have a definitive lump by HCWs, all were referred to the study gynecologist (CBE checkpoint). Only 50% (10/20) of those with a suspected lump complied with the referral to the gynecologist, where 90% concordance was found between their CBEs. Follow-up home visits were conducted in 119/169 non-compliant patients. Major reasons for non-compliance were a lack of understanding of the risks and financial constraints. A significant improvement was observed in the community's breast cancer knowledge at the follow-up visits using the standardized post-test. CONCLUSIONS: Basic and focused education of HCWs can increase their knowledge and dispel myths. Hand-on structured training can enable HCWs to perform CBE. Community awareness is essential for patient compliance and for early-detection, diagnosis, and treatment.

Biological Roles and Clinical Applications of Exosomes in Breast Cancer: A Brief Review.

Breast cancer (BC) is a global health risk for women and has a high prevalence rate. The drug resistance, recurrence, and metastasis of BC affect patient prognosis, thus posing a challenge to scientists. Exosomes are extracellular vesicles (EVs) that originate from various cells; they have a double-layered lipid membrane structure and contain rich biological information. They mediate intercellular communication and have pivotal roles in tumor development, progression, and metastasis and drug resistance. Exosomes are important cell communication mediators in the tumor microenvironment (TME). Exosomes are utilized as diagnostic and prognostic biomarkers for estimating the treatment efficacy of BC and have the potential to function as tools to enable the targeted delivery of antitumor drugs. This review introduces recent progress in research on how exosomes influence tumor development and the TME. We also present the research progress on the application of exosomes as prognostic and diagnostic biomarkers and drug delivery tools.

Radiological features of screening-detected and interval breast cancers and subsequent survival in Eastern Finnish women.

Interval breast cancers are diagnosed between scheduled screenings and differ in many respects from screening-detected cancers. Studies comparing the survival of patients with interval and screening-detected cancers have reported differing results. The aim of this study was to investigate the radiological and histopathological features and growth rates of screening-detected and interval breast cancers and subsequent survival. This retrospective study included 942 female patients aged 50-69 years with breast cancers treated and followed-up at Kuopio University Hospital between January 2010 and December 2016. The screening-detected and interval cancers were classified as true, minimal-signs, missed, or occult. The radiological features were assessed on mammograms by one of two specialist breast radiologists with over 15 years of experience. A χ2 test was used to examine the association between radiological and pathological variables; an unpaired t test was used to compare the growth rates of missed and minimal-signs cancers; and the Kaplan-Meier estimator was used to examine survival after screening-detected and interval cancers. Sixty occult cancers were excluded, so a total of 882 women (mean age 60.4 ± 5.5 years) were included, in whom 581 had screening-detected cancers and 301 interval cancers. Disease-specific survival, overall survival and disease-free survival were all worse after interval cancer than after screening-detected cancer (p < 0.001), with a mean follow-up period of 8.2 years. There were no statistically significant differences in survival between the subgroups of screening-detected or interval cancers. Missed interval cancers had faster growth rates (0.47% ± 0.77%/day) than missed screening-detected cancers (0.21% ± 0.11%/day). Most cancers (77.2%) occurred in low-density breasts (< 25%). The most common lesion types were masses (73.9%) and calcifications (13.4%), whereas distortions (1.8%) and asymmetries (1.7%) were the least common. Survival was worse after interval cancers than after screening-detected cancers, attributed to their more-aggressive histopathological characteristics, more nodal and distant metastases, and faster growth rates.

Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study.

Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally accessible and cost-effective approach for risk evaluation. We analyzed complete blood count (CBC) tests from 396,848 women aged 40-70, who underwent breast imaging or biopsies within six months after their CBC test. Of these, 2861 (0.72%) were identified as cases: 1882 with BC confirmed by anatomopathological tests, and 979 with highly suspicious imaging (BI-RADS 5). The remaining 393,987 participants (99.28%), with BI-RADS 1 or 2 results, were classified as controls. The database was divided into modeling (including training and validation) and testing sets based on diagnostic certainty. The testing set comprised cases confirmed by anatomopathology and controls cancer-free for 4.5-6.5 years post-CBC. Our ridge regression model, incorporating neutrophil-lymphocyte ratio, red blood cells, and age, achieved an AUC of 0.64 (95% CI 0.64-0.65). We also demonstrate that these results are slightly better than those from a boosting machine learning model, LightGBM, plus having the benefit of being fully interpretable. Using the probabilistic output from this model, we divided the study population into four risk groups: high, moderate, average, and low risk, which obtained relative ratios of BC of 1.99, 1.32, 1.02, and 0.42, respectively. The aim of this stratification was to streamline prioritization, potentially improving the early detection of breast cancer, particularly in resource-limited environments. As a risk stratification tool, this model offers the potential for personalized breast cancer screening by prioritizing women based on their individual risk, thereby indicating a shift from a broad population strategy.

Structured illumination microscopy for cancer identification in diagnostic breast biopsies.

Breast cancer is the second most common cancer diagnosed in women in the US with almost 280,000 new cases anticipated in 2023. Currently, on-site pathology for location guidance is not available during the collection of breast biopsies or during surgical intervention procedures. This shortcoming contributes to repeat biopsy and re-excision procedures, increasing the cost and patient discomfort during the cancer management process. Both procedures could benefit from on-site feedback, but current clinical on-site evaluation techniques are not commonly used on breast tissue because they are destructive and inaccurate. Ex-vivo microscopy is an emerging field aimed at creating histology-analogous images from non- or minimally-processed tissues, and is a promising tool for addressing this pain point in clinical cancer management. We investigated the ability structured illumination microscopy (SIM) to generate images from freshly-obtained breast tissues for structure identification and cancer identification at a speed compatible with potential on-site clinical implementation. We imaged 47 biopsies from patients undergoing a guided breast biopsy procedure using a customized SIM system and a dual-color fluorescent hematoxylin & eosin (H&E) analog. These biopsies had an average size of 0.92 cm2 (minimum 0.1, maximum 4.2) and had an average imaging time of 7:29 (minimum 0:22, maximum 37:44). After imaging, breast biopsies were submitted for standard histopathological processing and review. A board-certified pathologist returned a binary diagnostic accuracy of 96% when compared to diagnoses from gold-standard histology slides, and key tissue features including stroma, vessels, ducts, and lobules were identified from the resulting images.