A new study suggests that Dense Breast Notifications (DBNs) have achieved partial success in informing women about their breast density, with higher rates of notification and discussions with providers in states with mandated DBN laws. However, the study also found disparities in knowledge and awareness among women of different race/et...
Researchers developed two new mammogram-based measures of risk, combining them to predict breast cancer risk more effectively than known genetic and breast density factors. The new measures could improve screening, reduce mortality, and make it less stressful for women.
A new study by MIT scholars suggests that mammogram screening may be more effective for targeted testing, rather than age-based recommendations. Women who start getting mammograms at age 40 are found to be healthier and less likely to have cancer, making targeting higher-risk groups a potential solution.
A study published in Radiology found that digital breast tomosynthesis (DBT) improved cancer detection and reduced false negative rates compared to digital mammography. DBT also showed advantages in imaging women with dense breasts, leading to lower recall rates and more effective cancer screening.
A new deep learning model predicts breast cancer risk with greater accuracy, leveraging subtle imaging biomarkers in mammograms. The model outperforms traditional risk assessment models, providing more accurate and cost-effective care for patients.
A study published in Radiology found that digital breast tomosynthesis (DBT) with synthetic mammography improved cancer detection rates compared to traditional digital mammography. The technique reduced radiation exposure and detected a higher proportion of early-stage cancers, particularly among women with dense breasts.
A new 'fast' MRI test has been shown to detect breast cancers that 3-D mammograms may miss in women with dense breasts. The test, which is an abbreviated version of traditional breast MRI, detected 27 cancers per 1,000 women screened.
A study aims to identify geographic and racial disparities in mammography screening rates among Black and Hispanic women. The research will inform targeted interventions to improve access to screening and reduce mortality from breast cancer.
Spanish-speaking women are less likely to receive screening mammograms due to language barriers. Women with limited English proficiency had 27% lower rates of mammogram screenings, according to the study. This disparity affects approximately 450,000 eligible women in the US.
Researchers at Karolinska Institutet have found that one AI algorithm is as accurate as the average radiologist in identifying breast cancer from mammograms. The study compared three AI algorithms and showed significant differences between them, with one outperforming others and rivaling human detection accuracy.
A new study found that digital breast tomosynthesis (DBT) outperforms digital mammography in detecting cancers and reducing recalls. However, women with extremely dense breasts do not experience the same level of benefit from DBT. Most women with dense breasts saw an increase in cancer detection rates with DBT.
A systematic review and meta-analysis found that digital mammography did not improve health outcomes for women screened with the technology. The study analyzed 24 studies and found a small increase in cancer detection rates, but this was largely due to more detection of non-invasive DCIS and no significant difference in invasive cancer...
A new study published in Radiology found that women with probably benign breast lesions (BI-RADS 3) should have six-month follow-up imaging surveillance. The study showed that 1.9% of these women were diagnosed with cancer within six months, with a higher risk of malignancy than those downgraded to BI-RADS 1 or 2.
A Swedish study of over half a million women reveals that early mammography screening significantly lowers the rates of advanced and fatal breast cancers. The analysis found a 41% reduction in fatal breast cancers and a 25% reduction in advanced breast cancer cases among screened participants.
A large commercial claims database was used to estimate the percentage of U.S. women in their 40s with private insurance who received screening mammography in 2017, as well as national costs for this screening. The study found that nearly half of these women received screening, resulting in significant healthcare costs.
A combination of AI algorithms and radiologist interpretations improved mammogram accuracy, avoiding unnecessary tests for 10% false positives. This approach has the potential to increase detection value and make healthcare more sustainable.
A new study published in JAMA found that Fast Breast MRI detected significantly more breast cancers than digital breast tomosynthesis (3-D mammography) in average-risk women with dense breast tissue. The study showed that Fast Breast MRI was almost two and a half times more effective at detecting breast cancers in these women.
A study published in JAMA found abbreviated breast MRI to be more effective than digital breast tomosynthesis in detecting breast cancer in women with dense breasts. The test detected significantly more cancers and showed promise as a new screening tool for these patients.
Researchers developed an interactive health counselor to educate women about breast density, with participants showing increased knowledge and satisfaction. The prototype aims to empower women with accurate information throughout the breast cancer screening process.
A new study suggests that state-mandated notifications on mammogram reports intended to inform women of the health risks related to breast density are not worded effectively, particularly for those with lower education levels.
A new AI model developed by researchers can predict which women are at future risk of breast cancer with higher accuracy than existing models. The deep neural network-based approach has a lower false negative rate, indicating that it can identify women who would benefit from additional screening with MRI.
A recent study found that men at high risk for breast cancer can benefit from mammography screening. The study involved 1,869 men who had a mammogram between 2005 and 2017, with 41 men diagnosed with breast cancer.
A landmark study found that selective mammography screening can detect male breast cancer in high-risk men at an early stage, improving survival prognosis. The cancers detected were often benign, but the study's results support targeted screening for men with elevated risk.
Researchers studied clinician and older adult perspectives on communicating cancer screening cessation. Key findings include framing discussions around risks and benefits, patient empowerment, and addressing life expectancy concerns. The study aims to personalize cancer screening for elderly patients.
Researchers at RIT and RRHS have developed a non-invasive infrared imaging technology to detect breast cancer tumors hidden behind dense tissues. The technology takes 20 minutes to produce images that are more sensitive than current methods.
A recent study published in JAMA Internal Medicine found that the use of 3D mammography has risen substantially in the US, with DBT being more rapidly adopted in areas with higher incomes, greater education, and larger white populations. However, disparities in care persist, reflecting uneven adoption across regions and demographics.
A large study published in Radiology found that breast MRI screening for breast cancer survivors leads to higher cancer detection rates, but also results in more unnecessary biopsies. The study analyzed data from over 13,000 women and found no significant differences in sensitivity between breast MRI and mammography.
A new AI-based method predicts an individual woman's likelihood of being diagnosed with breast cancer using deep learning and full-resolution mammograms. The model outperforms traditional methods in risk discrimination across different races, ages, and family histories.
A study found high negative predictive values for mammography architectural distortion without ultrasound or MRI correlate, suggesting safe follow-up rather than biopsy. The results indicate that this approach can reduce the need for intervention and lower healthcare costs.
A case study illustrates how institutional and cultural embedded racial hierarchies prevent people of color from meeting their basic needs. The authors suggest that identifying structural racism in healthcare can lead to improved outcomes, such as reducing disparities in breast cancer mortality.
The American College of Physicians recommends that average-risk women between 50 and 74 years old undergo breast cancer screening with mammography every other year, as this approach balances benefits and harms. This strategy reduces false-positive findings and overtreatment, while minimizing radiation exposure and related risks.
A new study found that 3D mammography improves breast cancer detection in older women, with lower false-positive rates and higher positive predictive values. The results suggest that guidelines for screening in this age group should be based on individual preferences and health status.
A new study found that digital mammography is associated with a lower likelihood of high-density breast tissue compared to digital breast tomosynthesis (DBT) or synthetic mammography. This could have implications for personalized screening and recommendations for supplemental screening.
A new study published in Radiology found that digital breast tomosynthesis (DBT) significantly reduces the number of women who undergo breast biopsy for non-cancerous lesions. DBT detected 142 cancers with a biopsy rate of 69%, while reducing false positive biopsies by 52%.
A new study found that AI systems can perform as accurately as radiologists in detecting breast cancer in digital mammography screening. This breakthrough suggests that AI may be a viable alternative to current methods, which are labor-intensive and facing staff shortages.
A new study explores an episodic bundled payment model for breast cancer screening reflecting the widespread adoption of DBT. The analysis found that non-DBT approaches to bundled payment models remain viable, but higher DBT-inclusive prices highlight the need to explore societal costs more broadly.
A study comparing 3D digital breast tomosynthesis and 2D digital mammography screening found that DBT was associated with improved detection of invasive cancers, particularly among younger women. The findings suggest a potential benefit of DBT in reducing false positives and improving overall cancer detection rates.
A recent study found that hundreds of thousands of US women's lives have been saved by mammography and improvements in breast cancer treatment since 1989. The study estimates that cumulative breast cancer deaths averted ranged from 384,000 to 614,500 over the past three decades.
A recent study found nearly one-third of women under 40 underwent mammography before breast reduction surgery, despite guidelines recommending against it. The screenings can lead to unnecessary follow-up tests and treatments, wasting time and money.
A recent study published in the journal Radiology found that digital mammography significantly increased breast cancer detection by 14 percent compared to screen film mammography. The technology improved detection of early-stage cancers, including ductal carcinoma in situ, without increasing recall rates.
A new study found that combining mammography with a novel imaging technique called three-compartment breast (3CB) imaging can significantly reduce unnecessary breast biopsies. The technique uses AI algorithms to analyze tissue composition, improving the ability to predict cancer and reducing recalls by up to 36%.
A large-scale study found that annual mammography screening starting at age 30 may benefit women with specific risk factors. Women with dense breasts, a personal history of breast cancer, or a family history of breast cancer had increased breast cancer risk and benefited from earlier screening.
Researchers from Ben-Gurion University of the Negev developed a system to monitor outgoing commands from CT equipment, detecting anomalies and alerting operators before execution. A second study looked at the potential to tamper with mammogram results using AI-powered image manipulation.
A new study confirms that women aged 75 and older should continue receiving mammography screenings due to the significant risk of breast cancer in this age group. The research found a considerable incidence of breast cancer among women over 75, with most cases being invasive and treatable.
Researchers found that half of the Spanish-speaking women did not receive letters in their native language, leading to confusion and misinterpretation of key messages. The study highlights the importance of culturally sensitive communication and timely follow-up for women with dense breasts.
A deep-learning model has been successfully used on real patients to assess dense breast tissue in mammograms with high accuracy. The model outperforms traditional prediction models, achieving a kappa score of 0.85 in clinical applications, and could lead to more consistent screening procedures nationwide.
A major clinical study in Sweden has shown that 3D mammography detects over 30% more cancers compared to traditional mammography. The method uses low-dose x-ray images from different angles, resulting in higher image quality and increased cancer detection rates.
A deep learning approach can identify nuanced mammographic imaging features specific to recalled but benign (false-positive) mammograms, distinguishing them from those identified as malignant or negative. The study achieved an area under the curve (AUC) of 0.76-0.91, indicating high performance in detecting false recalls.
A study at the University of Chicago Medical Center and University of Washington found that twice-a-year MRI scans detected more small early stage breast cancers than annual mammograms. The research suggests that intensive surveillance can be crucial for improving outcomes in young women with high-risk genetic mutations.
A study by Harvey L. Neiman Health Policy Institute found that states with legislation requiring notification of patients about breast density issues saw a significant increase in the use of ultrasound imaging after mammography, suggesting improved cancer detection rates.
A new laser-sonic scanner developed by Caltech researchers can detect tumors in the breast in just 15 seconds, providing higher-resolution images than traditional mammography. The technology uses near-infrared light to create detailed images of internal structures without exposing patients to X-ray radiation or discomfort.
A combination of digital mammography and tomosynthesis detects 8.6 cancers per 1,000 cases, almost twice the rate detected by mammography alone. The technology's higher sensitivity is notable for small and medium invasive cancers, but not large ones.
Researchers found that women who underwent mammography screening were significantly more likely to utilize Pap smear, bone mass measurement, and influenza vaccine services than unscreened women. The study suggests that breast cancer screening may increase awareness of other preventive services among Medicare beneficiaries.
A study of over 300,000 women found that breast cancers diagnosed after a negative screening mammogram were more likely to have poor outcomes. The small but significant rate of these cases underscores the importance of regular screenings to detect breast cancer at an early stage.
Breast cancer screening should be tailored to each woman's risk, considering the benefits and harms of mammography. Experts recommend clinicians engage patients in shared decision-making to determine individualized screening plans.
The new instrument increases the sensitivity of optical mammography by up to 1000-fold, allowing for earlier detection of breast cancer. This advancement offers a safer and more gentle alternative to traditional X-ray imaging, which is often limited by patient age, weight, or other factors.
A study presented at the ARRS 2018 Annual Meeting found that screening mammography in women aged 40-49 detects 19.3% more cancers than in older age groups, but also increases callbacks and biopsies by 1.5% and 0.1%, respectively.
A study by the University of Louisville found that Medicaid expansion in Kentucky led to an increase in diagnosis rates of early-stage breast cancer and greater utilization of breast-conserving surgery. However, improvements in efficiency and timing of postsurgical therapy were less robust.
After the Affordable Care Act eliminated cost sharing for screening mammograms, mammogram rates increased six percentage points among older women, according to a Brown University study. The study found that eliminating copayments led to an increase in their use and was concentrated among women with more education.
A study found that bi-annual dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) exams were more effective in detecting breast cancer in younger women with a high-risk genetic profile than an annual mammogram. The intensive surveillance strategy reduced anxiety levels and improved quality of life for participants.