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New Study Finds Age and Race Impact Artificial Intelligence (AI) Performance on Digital Mammograms

Imaging Technology

christine.book Tue, 05/21/2024 - 10:36 May 21, 2024 — According to a newly-published study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. Nguyen, M.D.

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Why understanding breast density matters

The British Institute of Radiology

Women with dense breasts are BOTH more likely to develop breast cancer and more likely to have that cancer missed on a mammogram [5] Fig. 1 – Cancer on a mammogram of a fatty vs a dense breast What is Dense Breast Tissue? Breast density is determined through a mammogram and described as one of four categories (Fig.

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Inflammatory Breast Carcinoma

Global Radiology CME

A) Mammogram MLO view. Mammogram CC view. A mammogram demonstrated focal asymmetries involving most of the anterior and mid right breast with diffuse skin thickening, trabecular coarsening, increased overall density, and enlarged right axillary lymph nodes. What is the diagnosis? Xray of the Week Figure 1. Breast Cancer.

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Study Uncovers Barriers to Mammography Screening Among Black Women

Imaging Technology

However, Black women experience barriers to screening and are more likely to be diagnosed with triple-negative breast cancer at younger ages, and with advanced stage breast cancer. Only 31 percent had a documented mammogram in the EHR within the past two years. percent identified as Black/African American.

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3D Mammography Almost Halves the Incidence of Breast Cancer Between Two Screening Tests

Imaging Technology

That is, it is diagnosed after a test whose result was negative and before the next evaluation. Conversely, if the number of tumors diagnosed after screening is low, it indicates that the program is fulfilling its function: to detect this disease at an early stage. per thousand people, while in the second it was 0.93.

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RSNA Announces Screening Mammography AI Challenge Results

Imaging Technology

The latest in a series of such research competitions that RSNA has conducted since 2015, this challenge tasked participants with developing artificial intelligence (AI) models that can accurately detect breast cancer from mammography images, potentially assisting radiologists in making more accurate and timely diagnoses.

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Annual Breast Cancer Screening Beginning at 40 Saves Lives

Imaging Technology

Annual screening of women 40-79 years showed the lowest per mammogram false-positive screens (6.5%) and benign biopsies (0.88%) compared to other screening scenarios. Dr. Monticciolo said she hopes that her study will add to the body of literature that supports annual screening beginning at age 40 as the best way to diagnose cancer early.

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