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 language | English |
|---|---|
| Title of host publication | Breast Imaging |
| Subtitle of host publication | 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings |
| Editors | Anders Tingberg, Kristina Lång, Pontus Timberg |
| Publisher | Springer |
| Pages | 282-288 |
| Number of pages | 7 |
| Volume | 9699 |
| ISBN (Electronic) | 978-3-319-41546-8 |
| ISBN (Print) | 9783319415451 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 13th International Workshop on Breast Imaging, IWDM 2016 - Malmo, Sweden Duration: 2016 Jun 19 → 2016 Jun 22 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9699 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Conference
| Conference | 13th International Workshop on Breast Imaging, IWDM 2016 |
|---|---|
| Country/Territory | Sweden |
| City | Malmo |
| Period | 2016/06/19 → 2016/06/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Subject classification (UKÄ)
- Radiology and Medical Imaging
Free keywords
- Elastography
- Mammography
- Mechanical imaging
- Screening
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