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ARRS: Dartmouth poster wins for CVD risk prediction potential using mammograms

AuntMinnie

A scientific poster on cardiovascular disease (CVD) risk prediction using fat-enlarged axillary nodes visualized on screening mammograms won the Summa Cum Laude Award at the 124th American Roentgen Ray Society (ARRS) annual meeting. This is defined by the American Heart Association as more than a 7.5%

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Enlarged Lymph Nodes on Screening Mammograms Predict Cardiometabolic Disease, Cardiovascular Risk

Imaging Technology

milla1cf Fri, 05/10/2024 - 08:10 May 10, 2024 — According to the Summa Cum Laude Award-Winning Online Poster presented during the 124th ARRS Annual Meeting , fat-enlarged axillary nodes on screening mammograms can predict high cardiovascular disease (CVD) risk, Type 2 diabetes (T2DM), and hypertension (HTN). Rubino et al. and HTN (OR = 2.5,

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Ultrasound nonmass breast lesion features may signal malignancy

AuntMinnie

It also found that having a negative mammogram was associated with a lower malignancy rate and lower positive predictive values for sonographic features compared with having an abnormal mammogram. The retrospective, multicenter study included data collected from 2012 to 2019 from 993 women with an average age of 50 years.

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CEM has tradeoffs for imaging extremely dense breasts

AuntMinnie

Contrast-enhanced mammography (CEM) has tradeoffs when it comes to imaging women with extremely dense breasts, according to research published October 1 in Radiology. This problem has led to researchers exploring different methods for better accuracy in imaging these women. Image courtesy of the RSNA. 0.003 Specificity 96.2%

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AI Software Firm Announces Support of DenseBreast-info.org Ahead of SBI 2023 Symposium

Imaging Technology

is announcing an expanded sponsorship of DenseBreast-info.org (DBI) at this year’s Society of Breast Imaging (SBI) annual symposium , being held May 4-7 in Maryland. 1) After a mammogram, other screening tests such as ultrasound, and especially MRI, find additional cancers in dense breasts. J Breast Imag 2023 2. Br J Radiol.

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Combining AI Models Improves Breast Cancer Risk Assessment

Imaging Technology

“In recent years, AI has been studied for the purpose of diagnosing breast cancer earlier by automatically detecting breast cancers in mammograms and measuring the risk of future breast cancer.” Diagnostic AI models are trained to detect suspicious lesions on mammograms and are well suited to estimate short-term breast cancer risk.

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ACS: Breast cancer mortality decreases, disparities persist

AuntMinnie

The investigators found the following regarding breast cancer incidence: Breast cancer incidence rose by 1% annually from 2012 to 2021, mostly confined to localized‐stage and hormone receptor‐positive disease. Women younger than 50 years experienced a 1.4% annual increase in incidence compared with 0.7%

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