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Virtual clinical trial of simultaneous digital breast tomosynthesis and mechanical imaging: : model calibration and the effect of tumor depth

Tomic, Hanna LU ; Axelsson, Rebecca LU ; Zackrisson, Sophia LU ; Tingberg, Anders LU ; Dustler, Magnus LU and Bakic, Predrag LU (2022) SPIE Medical Imaging 2022: 12031.
Abstract
Simultaneous Digital Breast Tomosynthesis (DBT) and mechanical imaging (MI), called DBTMI, is a novel breast imaging method aimed at improving sensitivity and specificity of breast cancer screening. DBTMI combines improved cancer detection by three-dimensional DBT imaging, with the analysis of local stress over the compressed breast by MI, which can reduce false positive findings. The MI signal is affected by various factors, e.g., breast size, composition, tumor depth, etc. Assessing the individual effect of those factors using clinical data is difficult, due to their interdependence. These open clinical questions can be addressed by virtual clinical trials. Our current work is focused on the effects of tumor depth on the DBTMI signal. We... (More)
Simultaneous Digital Breast Tomosynthesis (DBT) and mechanical imaging (MI), called DBTMI, is a novel breast imaging method aimed at improving sensitivity and specificity of breast cancer screening. DBTMI combines improved cancer detection by three-dimensional DBT imaging, with the analysis of local stress over the compressed breast by MI, which can reduce false positive findings. The MI signal is affected by various factors, e.g., breast size, composition, tumor depth, etc. Assessing the individual effect of those factors using clinical data is difficult, due to their interdependence. These open clinical questions can be addressed by virtual clinical trials. Our current work is focused on the effects of tumor depth on the DBTMI signal. We simulated the breast anatomy by a matrix of adipose and glandular tissue compartments. Spherical tumors were inserted at various depths. The MI sensor is modeled by a compound material of PMMA and Ag. We calculated the local stress on the compressed breast surface at the tumor location and simulated the MI sensor output. We also simulated the corresponding DBT images and calculated the signal-difference-to-noise ratio (SDNR) with and without pre-processing to analyze the reduction in artifacts. Our preliminary analysis of 24 simulated tumors has shown 16% reduction in the local stress, when increasing tumor depth by 15 mm (10-25 mm from the breast surface). The SDNR improvement was highest for tumors near the sensor and the effect of pre-processing decreased with increasing tumor depth. (Less)
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author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Medical Imaging 2022: : Physics of Medical Imaging - Physics of Medical Imaging
editor
Zhao, Wei and Yu, Lifeng
volume
12031
pages
10 pages
publisher
SPIE
conference name
SPIE Medical Imaging 2022:
conference location
San Diego, United States
conference dates
2022-02-20 - 2022-03-28
external identifiers
  • scopus:85131179623
DOI
10.1117/12.2612006
language
English
LU publication?
yes
id
f66f6edc-b9fc-4fa8-87c5-9df15e53f3ea
date added to LUP
2022-04-19 14:01:09
date last changed
2022-08-19 16:52:58
@inproceedings{f66f6edc-b9fc-4fa8-87c5-9df15e53f3ea,
  abstract     = {{Simultaneous Digital Breast Tomosynthesis (DBT) and mechanical imaging (MI), called DBTMI, is a novel breast imaging method aimed at improving sensitivity and specificity of breast cancer screening. DBTMI combines improved cancer detection by three-dimensional DBT imaging, with the analysis of local stress over the compressed breast by MI, which can reduce false positive findings. The MI signal is affected by various factors, e.g., breast size, composition, tumor depth, etc. Assessing the individual effect of those factors using clinical data is difficult, due to their interdependence. These open clinical questions can be addressed by virtual clinical trials. Our current work is focused on the effects of tumor depth on the DBTMI signal. We simulated the breast anatomy by a matrix of adipose and glandular tissue compartments. Spherical tumors were inserted at various depths. The MI sensor is modeled by a compound material of PMMA and Ag. We calculated the local stress on the compressed breast surface at the tumor location and simulated the MI sensor output. We also simulated the corresponding DBT images and calculated the signal-difference-to-noise ratio (SDNR) with and without pre-processing to analyze the reduction in artifacts. Our preliminary analysis of 24 simulated tumors has shown 16% reduction in the local stress, when increasing tumor depth by 15 mm (10-25 mm from the breast surface). The SDNR improvement was highest for tumors near the sensor and the effect of pre-processing decreased with increasing tumor depth.}},
  author       = {{Tomic, Hanna and Axelsson, Rebecca and Zackrisson, Sophia and Tingberg, Anders and Dustler, Magnus and Bakic, Predrag}},
  booktitle    = {{Medical Imaging 2022: : Physics of Medical Imaging}},
  editor       = {{Zhao, Wei and Yu, Lifeng}},
  language     = {{eng}},
  publisher    = {{SPIE}},
  title        = {{Virtual clinical trial of simultaneous digital breast tomosynthesis and mechanical imaging: : model calibration and the effect of tumor depth}},
  url          = {{http://dx.doi.org/10.1117/12.2612006}},
  doi          = {{10.1117/12.2612006}},
  volume       = {{12031}},
  year         = {{2022}},
}