Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment

Maxine Tan, Joseph K. Leader, Hong Liu, Bin Zheng

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

We recently investigated a new mammographic image feature based risk factor to predict near-term breast cancer risk after a woman has a negative mammographic screening. We hypothesized that unlike the conventional epidemiology-based long-term (or lifetime) risk factors, the mammographic image feature based risk factor value will increase as the time lag between the negative and positive mammography screening decreases. The purpose of this study is to test this hypothesis. From a large and diverse full-field digital mammography (FFDM) image database with 1278 cases, we collected all available sequential FFDM examinations for each case including the "current" and 1 to 3 most recently "prior" examinations. All "prior" examinations were interpreted negative, and "current" ones were either malignant or recalled negative/benign. We computed 92 global mammographic texture and density based features, and included three clinical risk factors (woman's age, family history and subjective breast density BIRADS ratings). On this initial feature set, we applied a fast and accurate Sequential Forward Floating Selection (SFFS) feature selection algorithm to reduce feature dimensionality. The features computed on both mammographic views were individually/separately trained using two artificial neural network (ANN) classifiers. The classification scores of the two ANNs were then merged with a sequential ANN. The results show that the maximum adjusted odds ratios were 5.59, 7.98, and 15.77 for using the 3rd, 2nd, and 1st "prior" FFDM examinations, respectively, which demonstrates a higher association of mammographic image feature change and an increasing risk trend of developing breast cancer in the near-term after a negative screening.

Original languageEnglish
Title of host publicationMedical Imaging 2015
Subtitle of host publicationComputer-Aided Diagnosis
EditorsLubomir M. Hadjiiski, Lubomir M. Hadjiiski, Georgia D. Tourassi, Georgia D. Tourassi
PublisherSPIE
ISBN (Electronic)9781628415049, 9781628415049
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventConference on Medical Imaging - Computer-Aided Diagnosis 2015 - Orlando, United States of America
Duration: 22 Feb 201525 Feb 2015
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9414.toc (Proceedings)

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9414
ISSN (Print)1605-7422

Conference

ConferenceConference on Medical Imaging - Computer-Aided Diagnosis 2015
Country/TerritoryUnited States of America
CityOrlando
Period22/02/1525/02/15
Internet address

Keywords

  • Breast cancer
  • Cancer risk prediction model
  • Computer-aided detection (CAD) of mammograms
  • Mammographic image feature analysis
  • Near-term breast cancer risk

Cite this