Influence of BI-RADS Breast Density Scores on the Implementation of Supplemental Imaging Modalities in Those With Average Risk and Negative Mammogram by Primary Care Providers in British Columbia.

Breast Imaging-Reporting and Data System (BI-RADS) density scores have been included in screening mammography reports in BC since 2018. Despite these density scores being present in screening mammography reports for numerous years, there remains insufficient evidence to guide supplemental testing for patients with dense breasts. The primary objective of this study was to evaluate how primary care providers in Canada utilize BI-RADS density scores reported on normal screening mammograms of average risk, asymptomatic patients in their clinical practice.

Interhospital variations in diagnostic work-up following recall at biennial screening mammography-a population-based study.

Objectives: Quality control in breast cancer screening programmes has been subject of several studies. However, less is known about the clinical diagnostic work-up in recalled women with a suspicious finding at screening mammography. The current study focuses on interhospital differences in diagnostic work-up strategies.

Cancers not detected in one-view breast tomosynthesis screening-characteristics and reasons for non-detection.

Objectives: Limited understanding exists regarding non-detected cancers in digital breast tomosynthesis (DBT) screening. This study aims to classify non-detected cancers into true or false negatives, compare them with true positives, and analyze reasons for non-detection.

Materials And Methods: Conducted between 2010 and 2015, the prospective single-center Malmö Breast Tomosynthesis Screening Trial (MBTST) compared one-view DBT and two-view digital mammography (DM).

A multi-phase structured cascade model for mass training of community healthcare workers in performing clinical breast exams in remote regions.

Background: Clinical breast exam (CBE) by outreach healthcare workers (HCW) may help downstage breast cancer in resource-limited areas where mammography may not be feasible. We evaluated the effectiveness of a pilot cascade-model training programme for HCWs in remote areas of Pakistan.

Methods: The training programme comprised three phases.

Digital breast tomosynthesis system concept addressing the needs in breast cancer screening and diagnosis.

Purpose: Digital breast tomosynthesis (DBT) has been introduced more than a decade ago. Studies have shown higher breast cancer detection rates and lower recall rates, and it has become an established imaging method in diagnostic settings. However, full-field digital mammography (FFDM) remains the most common imaging modality for screening in many countries, as it delivers high-resolution planar images of the breast.

Exploring Dense Breast Density in Mammography: A Comparative Analysis of Breast Cancer Risk.

Background: Breast density is a strong predictor of breast cancer. However, the difference in risk between breast density categories C and D remains inadequately explored. Given the low occurrence of extremely dense breasts, this investigation is crucial because it may lead to modifications in screening techniques for those with these conditions.

Screening for breast cancer: a systematic review update to inform the Canadian Task Force on Preventive Health Care guideline.

Objective: This systematic review update synthesized recent evidence on the benefits and harms of breast cancer screening in women aged ≥ 40 years and aims to inform the Canadian Task Force on Preventive Health Care's (CTFPHC) guideline update.

Methods: We searched Ovid MEDLINE® ALL, Embase Classic + Embase and Cochrane Central Register of Controlled Trials to update our searches to July 8, 2023. Search results for observational studies were limited to publication dates from 2014 to capture more relevant studies.

Addressing Breast Cancer Disparities: A Comprehensive Approach to Health Equity.

This article addresses the persistent disparities in breast cancer outcomes across different racial, ethnic, and socioeconomic groups despite advancements in diagnosis and treatment. The disparities are rooted in various factors, including access to care, socioeconomic status, and cultural barriers. The article emphasizes the need for targeted interventions, such as expanding insurance coverage, mobile mammography units, and culturally tailored outreach programs to promote health equity.

The value of contrast-enhanced energy-spectrum mammography combined with clinical indicators in detecting breast cancer in Breast Imaging Reporting and Data System (BI-RADS) 4 lesions.

Background: Under the Breast Imaging Reporting and Data System (BI-RADS), category 4 lesions have a high probability of malignancy. This study sought to investigate the efficacy of a model that combined the BI-RADS score with the enhancement score and clinical indicators in the diagnosis of BI-RADS 4 lesions based on contrast-enhanced spectral mammography (CESM) in breast cancer patients.

Methods: The data of female patients with BI-RADS scores of 4 who underwent CESM at the Department of Medical Imaging of the Third Affiliated Hospital of Soochow University from January 2018 to July 2023 were retrospectively collected.

Novel study on the prediction of BI-RADS 4A positive lesions in mammography using deep learning technology and clinical factors.

Background: The classification of Breast Imaging Reporting and Data System (BI-RADS) category 4A lesions in mammography is complicated by subjective interpretations and unclear criteria, which can lead to potential misclassifications and unnecessary biopsies. Thus, more accurate assessment methods need to be developed. This study aimed to improve the classification prediction of BI-RADS 4A positive lesions in mammography by combining deep learning (DL) technology with relevant clinical factors.

Comparison of Full-Field Digital Mammography with Synthesized Mammography from Tomosynthesis in a Diagnostic population: Prospective Study.

 Synthesized mammography (SM) refers to two-dimensional (2D) images derived from the digital breast tomosynthesis (DBT) data. It can reduce the radiation dose and scan duration when compared with conventional full-field digital mammography (FFDM) plus tomosynthesis.  To compare the diagnostic performance of 2D FFDM with synthetic mammograms obtained from DBT in a diagnostic population.

Artificial intelligence-based computer-aided diagnosis for breast cancer detection on digital mammography in Hong Kong.

Introduction: Research concerning artificial intelligence in breast cancer detection has primarily focused on population screening. However, Hong Kong lacks a population-based screening programme. This study aimed to evaluate the potential of artificial intelligence-based computer-assisted diagnosis (AI-CAD) program in symptomatic clinics in Hong Kong and analyse the impact of radio-pathological breast cancer phenotype on AI-CAD performance.

Segmentation for mammography classification utilizing deep convolutional neural network.

Background: Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identification of breast masses. However, in the early stages, it might be challenging to ascertain whether a breast mass is benign or malignant. Consequently, many deep learning (DL)-based computer-aided diagnosis (CAD) approaches for BC classification have been developed.

Women's perspectives of molecular breast imaging: a qualitative study.

Background: Mammography has poor sensitivity in dense breast tissue. Retrospective studies suggest that Molecular Breast Imaging (MBI), has superior diagnostic accuracy to mammography in women with very dense breast tissue. Women's perspectives of MBI are unknown, but are crucial to understanding the feasibility of, and routes to, adoption into practice.

Research trends on AI in breast cancer diagnosis, and treatment over two decades.

Objective: Recently, the integration of Artificial Intelligence (AI) has significantly enhanced the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive review of the advancements in AI for breast cancer diagnosis and prognosis through a bibliometric analysis.

Methodology: Therefore, this study gathered pertinent peer-reviewed research articles from the Scopus database, spanning the years 2000 to 2024.

Current Concepts in Molecular Breast Imaging.

Molecular breast imaging (MBI) is a functional imaging modality that utilizes technetium 99m sestamibi radiotracer uptake to evaluate the biology of breast tumors. Molecular breast imaging can be a useful tool for supplemental screening of women with dense breasts, for breast cancer diagnosis and staging, and for evaluation of treatment response in patients with breast cancer undergoing neoadjuvant systemic therapy. In addition, MBI is useful in problem-solving when mammography and US imaging are insufficient to arrive at a definite diagnosis and for patients who cannot undergo breast MRI.

Towards an interpretable breast cancer detection and diagnosis system.

According to the World Health Organization, breast cancer becomes fatal only if it spreads throughout the body. Therefore, regular screening is essential. Whilst mammography is the most frequently used technique, its interpretation can be challenging and time-consuming.

Are Mucinous Carcinomas of the Breast Hard on Elastography?

Mucinous carcinomas are a rare type of invasive breast carcinoma characterized by large quantities of extracellular mucin on histopathological examination. These tumors can be easily missed or misdiagnosed. Due to large quantities of mucin, these tumors are presumed to be "soft" masses.

Mammography Among Women Residing in Urban Versus Rural Utah: Breast Cancer Survival.

Background: Annual or biennial breast cancer screenings are recommended for women 40 and older. Women residing in rural areas have worse breast cancer survival rates than urban women, but no study has focused on rural versus urban residence in Utah regarding breast cancer screening and mortality.

Methods: Cases (n = 14,516) were women aged > 39 diagnosed with a first primary invasive breast cancer between 1998 and 2017 in Utah.

[The CCM Project "Guidelines for the Social Reporting of Screening Programmes"].

The Social Report (SR) is a form of measurement and reporting, transparency, and communication, essential for sharing decisions, activities, and the value an institution generates with stakeholders from a social responsibility perspective. It is a useful tool for screening programmes to understand their objectives and structure, assess their effectiveness, and promote informed participation by citizens and stakeholders.This contribution explores the implementation of the SR in oncological screening programmes - a project conducted in the CCM 2019 Programme 'Guidelines for Social Reporting of Screening Programmes', coordinated by the Institute for Cancer Research, Prevention and Clinical Network (ISPRO) in Tuscany Region in collaboration with the Centre for Oncological Screenings of Reggio Emilia (Emilia-Romagna Region) and the Population Screening Programmes Service of ATS Valpadana (Lombardy Region) - conducted between 2020 and 2022.

Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples.

Background And Objectives: Breast cancer is the most common cancer in women, with one in eight women suffering from this disease in her lifetime. The implementation of centrally organized mammography screening for women between 50 and 69 years of age was a major step in the direction of early detection. However, the participation rate reaches approximately 50% of the eligible women, one reason being the painful compression of the breast, cited as a major issue for not participating in this very important program.

Breaking barriers: improving mammography screening accessibility and quality of care for breast cancer women with disabilities in Saudi Arabia.

Introduction: Breast cancer screening remains pivotal in early detection and intervention. However, disparities persist, particularly among women with disabilities, necessitating a comprehensive understanding of their screening practices. This study aims to investigate breast cancer screening behaviours in Saudi women with disabilities.

Ductal Carcinoma In Situ of the Breast in Sclerosing Adenosis Mimicking Microinvasive Ductal Carcinoma: A Rare Case Report.

Sclerosing adenosis (SA) is a subtype of adenosis characterized by proliferative adenosis and stromal sclerosis with distortion of the terminal ductal lobular unit. Although SA is the most prevalent benign breast condition among middle-aged women, it may be associated with a two-fold increase in breast cancer risk. Microscopic findings of ductal carcinoma in situ (DCIS) in a SA (SA-DCIS) may mimic microinvasive carcinoma or even invasive carcinoma, which may result in overtreatment by a breast surgeon.

Diagnostic Accuracy of Spectral Doppler Indices and Sonoelastography in Predicting Malignancy in Breast Imaging Reporting and Database System 3 Breast Lesions With Histopathology as the Reference Standard.

Introduction Breast cancer is a significant health concern in India, representing a large portion of all cancers affecting women and ranking as one of the most common cancers overall. Reliable diagnostic tools are essential for accurately predicting malignancy and reducing the need for unnecessary biopsies. A Breast Imaging Reporting and Database System (BI-RADS) 3 designation suggests a low likelihood of cancer, indicating that findings are likely benign.