Skip to main navigation Skip to search Skip to main content

The characteristics of malignant breast tumors imaged using a prototype mechanical imaging system as an adjunct to mammography

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Breast cancer is diagnosed by a combination of modalities. Measuring the elasto-mechanical properties of suspicious lesions, by e.g. ultrasound elastography, can help differentiate malignant from benign findings. Using a prototype Mechanical Imaging (MI) system as an adjunct to mammography, the aim of this study was to characterize tumors using MI and compare the readings to those from the contralateral breast. Thirteen bilateral MI sets from women with malignant breast lesions were included in this study, drawn from a larger set of 155 women recalled from screening. The results showed that mean lesion pressure was significantly greater than the mean pressure of the corresponding breast, 7.5 ± 7.0 kPa compared to 2.5 ± 1.6 kPa (P = 0.01). There was no evidence for a difference in mean pressure or standard deviation of the MI image between symptomatic and contralateral asymptomatic breasts (P = 0.24 and 0.68). The results support that it is possible to use MI to distinguish malignant cancers from normal breast tissue. Still, further investigations of the characteristics of benign lesions are necessary to ascertain the usefulness of the system.

Original languageEnglish
Title of host publicationBreast Imaging
Subtitle of host publication13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings
EditorsAnders Tingberg, Kristina Lång, Pontus Timberg
PublisherSpringer
Pages282-288
Number of pages7
Volume9699
ISBN (Electronic)978-3-319-41546-8
ISBN (Print)9783319415451
DOIs
Publication statusPublished - 2016
Event13th International Workshop on Breast Imaging, IWDM 2016 - Malmo, Sweden
Duration: 2016 Jun 192016 Jun 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9699
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference13th International Workshop on Breast Imaging, IWDM 2016
Country/TerritorySweden
CityMalmo
Period2016/06/192016/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Subject classification (UKÄ)

  • Radiology and Medical Imaging

Free keywords

  • Elastography
  • Mammography
  • Mechanical imaging
  • Screening

Fingerprint

Dive into the research topics of 'The characteristics of malignant breast tumors imaged using a prototype mechanical imaging system as an adjunct to mammography'. Together they form a unique fingerprint.

Cite this