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Tag: Mammography

Risk for Breast Cancer Death Increased With Missing Mammogram

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Serial participants have significantly lower risk for death compared with those who missed one or both of two screenings before diagnosis

Axillary Adenopathy Reported After Recent COVID-19 Vaccination

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Management approach to these findings includes axillary ultrasound if clinical concern persists six weeks after final dose of vaccine

Mammography Guidelines Developed for Older Breast Cancer Survivors

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Discontinuation of routine mammography recommended for breast cancer survivors when life expectancy is less than five years

Mammography Screening Model Based on Breast Density Studied

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Baseline measure of breast density at age 40 years would direct women with dense breasts to earlier, more frequent mammogram schedule

Cancer Screening

Mammography-Based AI Model May Predict Breast Cancer Risk

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Discriminatory capacity for accurately identifying high-risk patients improved compared with prior methods

Sociodemographic Differences Seen in Receipt of Breast Density Notifications

Targeted Inpatient Screening Mammogram Can Up Screening Rates

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17 of 21 appropriate candidates successfully completed inpatient mammograms; all except one were negative

Sociodemographic Differences Seen in Receipt of Breast Density Notifications

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Those in notification states more likely to receive density information, but likelihood lower for older Black and Asian women of lower income

Abemaciclib Beneficial for HR+  HER2− Early Breast Cancer

New Mammogram-Based Measures Improve Breast Cancer Prediction

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For screen-detected, younger-diagnosis breast cancers, best-fitting models include new measures based on brightness, texture

DBT + Synthetic Mammography Better at Repeat Screening

RSNA: Deep Learning Model Can Predict Breast Cancer Risk

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DL model using screening mammography biomarkers can improve accuracy for predicting future breast cancer risk

DBT + Synthetic Mammography Better at Repeat Screening

RSNA: Deep Learning Model Can Predict Breast Cancer Risk

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DL model using screening mammography biomarkers can improve accuracy for predicting future breast cancer risk