Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods

Areej S. Aloufi; Abdulrahman AlNaeem; Abeer Almousa; Mehreen Malik; Amani Hashem; Fatina Altahan; Mahmoud Elsharkawi; Manal ElMahdy; Reham Altokhais; Sara Alsultan; Rasha Sahloul; Khalid Alzimami; Steven Squires; Elaine F. Harkness; Susan Astley

doi:10.1117/12.2611894

4 April 2022 Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods

Areej S. Aloufi, Abdulrahman AlNaeem, Abeer Almousa, Mehreen Malik, Amani Hashem, Fatina Altahan, Mahmoud Elsharkawi, Manal ElMahdy, Reham Altokhais, Sara Alsultan, Rasha Sahloul, Khalid Alzimami, Steven Squires, Elaine F. Harkness, Susan Astley

Author Affiliations +

Proceedings Volume 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment; 120350L (2022) https://doi.org/10.1117/12.2611894
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Breast density is an important breast cancer risk factor related to decreased mammography sensitivity and as an independent risk factor. This research aims to establish the distribution of breast density in the Saudi screening population and to identify the relationship between visual and automated breast density methods. Screening mammograms from 2905 cancer-free women were retrospectively collected from the Saudi National Breast Cancer Screening Programme. Breast density of screening mammograms were assessed visually by 11 radiologists using the Breast Imaging and Reporting Data System (BIRADS) 5th edition and Visual Analogue Scale (VAS), and by automated methods; predicted VAS processed (pVAS_processed), predicted VAS raw (pVAS_raw) and Volpara^TM. The relationship between breast density methods was assessed using the intra-class coefficient (ICC) and weighted kappa (κ). Results indicated that around one-third of Saudi women of screening age had high breast density (BI-RADS C/D: 31.5% or Volpara Density Grade (VDG) C/D: 29.0%). Full screening mammograms from 1022 women were used to assess the relationship between all methods. Predicted VAS estimates of percent density were generally lower than VAS. The highest ICC was between VAS and pVAS_raw (ICC=0.86, 95% CI 0.84-0.88). For categorical breast density methods, VDG 5th edition showed fair agreement with BI-RADS 5th edition (κ=0.35, 95% CI 0.29-0.39). In conclusion, this study shows the majority of Saudi women of screening age have low breast density as shown by visual and automated methods, and there is a positive relationship between visual and automated methods, being strongest for VAS and pVAS_raw.

Conference Presentation

Citation Download Citation

Areej S. Aloufi, Abdulrahman AlNaeem, Abeer Almousa, Mehreen Malik, Amani Hashem, Fatina Altahan, Mahmoud Elsharkawi, Manal ElMahdy, Reham Altokhais, Sara Alsultan, Rasha Sahloul, Khalid Alzimami, Steven Squires, Elaine F. Harkness, and Susan Astley "Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods", Proc. SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, 120350L (4 April 2022); https://doi.org/10.1117/12.2611894

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available