Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?

Said Pertuz, Antti Sassi, Otso Arponen, Kirsi Holli-Helenius, Anna-Leena Lääperi, Irina Rinta-Kiikka

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

Abstract

Early identification of women at high risk of developing breast cancer is fundamental for timely diagnosis and treatment. Recently, researchers have demonstrated that the computerized analysis of parenchymal (breast tissue) patterns in mammograms can be utilized to assess the risk level of patients. However, parenchymal analysis being an image-based biomarker, its performance may be affected by the acquisition parameters of the mammogram. Unfortunately, research on the effect of the mammographic system on the performance of parenchymal analysis is very scarce. In this paper, we implement a parenchymal analysis algorithm and study the effect of different mammographic systems on its performance. We show in a setting of 286 women that the use of different mammographic systems can yield differences of up to 24% in the area under the ROC curve. Results suggest the the construction of models for risk assessment based on parenchymal analysis should incorporate the imaging technologies into the analysis.

Original languageEnglish
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages4863-4866
Number of pages4
ISBN (Print)978-1-5386-1311-5
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in conference proceedings
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society -
Duration: 1 Jan 2019 → …

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Number8856948
ISSN (Print)1557-170X

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Period1/01/19 → …

Keywords

  • Algorithms
  • Breast Neoplasms/diagnostic imaging
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted
  • Mammography
  • Parenchymal Tissue/diagnostic imaging
  • ROC Curve
  • Risk Assessment
  • Risk Factors

Publication forum classification

  • Publication forum level 1

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