News

Nature Review Comment on Mammography Screening with Artificial Intelligence

First author Karla Kerlikowske, MD discusses the results and clinical application of a Swedish Mammography Screening with Artificial Intelligence (MASAI). Read here: In what clinical settings are the MASAI trial results applicable? | Nature Reviews Clinical Oncology

Effect of race and ethnicity on advanced breast cancer risk prediction model performance

Our PI, Karla Kerlikowske, MD, was recently published as first author on a paper evaluating BCSC model performance after removing race and ethnicity. Read it here on npj 

New Mammography Tools — The Need for Clinically Meaningful Assessment Standards

 

NYT Feature - 3-D Mammograms are Overtaking Traditional Scans

See our PI Karla Kerlikowske's feature in the NYT.

Karla Kerlikowske, MD 'As Prescribed' Interview with KCBS

Our PI, Karla Kerlikowske MD was interviewed in this week's 'As Prescribed' podcast by KCBS.

False-Positive Results and Return to Screening Mammography

New BCSC study reveals another unintended consequence of false positives

Supplemental Breast Ultrasound Screening Outcomes Among Women With Dense Breasts

New BCSC study shows the importance of determining breast cancer risk

How to Decrease Advanced Breast Cancer Among Women of Color

UCSF researchers, led by Karla Kerlikowske MD, suggest primary prevention strategies in addition to regular screenings for those most at risk.

The Path to Early Intervention: Build a Better Breast Cancer Predictor

UCSF researchers update Breast Cancer Surveillance Consortium model with new risk factors for BMI and extended family history. Read the article to learn more about our current projects at UCSF.

Breast Density and BMI Both Play a Role in Breast Cancer Risk

A more nuanced approach is recommended to avoid inequitable screening notification of breast density among racial and ethnic groups.