In the next decade, breast cancer screening will likely be some combination of x-ray, ultrasound (US) and/or optical imaging, if this combination can be performed efficiently. Towards this goal, a proof-of-concept multimodality system is proposed in which, x-ray, US and optical breast images are all acquired in the same mammographic geometry, making it possible to directly compare the complex patterns of the US and optical images with those patterns in a 3D version of mammography, digital tomosynthesis mammography (DTM), where there is, from its similarity with mammography, a great wealth of experience. It is hypothesized that with this system, not only will it be possible to reap the direct benefits of mammographic/US/optical co-localization but also to achieve superior image quality and diagnostic information from the combination of these modes. Spectroscopic photoacoustic tomography (S-PAT) is a promising imaging approach, with contrast provided by red and near infrared light absorption and with high resolution and sensitivity provided by the thermoacoustic signal detection from US transducers. These transducers will be specialized, broadband arrays allowing for synthetic aperture formation. Further enhancing sensitivity will be the short optical path lengths from both, compressed, sides of the breast. The potential for high resolution imaging of endogenous contrast, oxy and deoxy-hemoglobin, and, in the future, of targeted exogenous optical contrast agents warrants the substantial development and investigation that is proposed. This system brings the endogenous contrast imaging of S-PAT to practical test, coincident with state-of-the-art competitive and complimentary imaging modes, including US color flow Doppler imaging for comparison with S-PAT. The x-ray DTM system in the current BRP offers capabilities well beyond those of other research and clinical prototypes. The ultrasound in this combined system is meeting the goal of producing good images in essentially the same view as the x-rays and with good patient acceptance. Since the first submission of this renewal proposal, several concerns about the practical clinical performance of automated US scanning of the compressed breast have been investigated. They should be well resolved with the developments of a proposed tilting mesh compression paddle and an efficient acoustic coupling gel distribution system. With these further developments, the system will be ready to address a very serious question, the feasibility of using the first two modes of this system, DTM and automated US (AUS), for breast cancer screening. A large preliminary trial is proposed starting in the second year to demonstrate feasibility of frequent studies with the combined system and to evaluate the following questions in a callback-enriched screening study: 1) whether combined DTM/AUS will result in fewer callbacks than conventional mammography screening;and 2) whether the sensitivity of the combined system will increase significantly from the 72% historical rate for typical modern mammography practice.

Public Health Relevance

The near future of breast imaging includes a 3D version of mammography (digital tomosynthesis mammography or DTM) in combination with ultrasound imaging. This project will marry DTM and mammography to automated ultrasound scanning and a new, optical imaging method """"""""spectroscopic photoacoustic tomography"""""""", producing a combined system that will allow rapid comparison of any tissues in one image volume with the corresponding location in the other two image volumes. The system will be tested in simulated screening for provision of increased sensitivity to cancer with fewer unnecessary recalls for further imaging and biopsies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA091713-09
Application #
8070487
Study Section
Special Emphasis Panel (ZRG1-SBIB-V (50))
Program Officer
Baker, Houston
Project Start
2001-07-01
Project End
2013-05-31
Budget Start
2011-06-13
Budget End
2012-05-31
Support Year
9
Fiscal Year
2011
Total Cost
$752,241
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Larson, Eric D; Lee, Won-Mean; Roubidoux, Marilyn A et al. (2018) Preliminary Clinical Experience with a Combined Automated Breast Ultrasound and Digital Breast Tomosynthesis System. Ultrasound Med Biol 44:734-742
Larson, Eric D; Lee, Won-Mean; Roubidoux, Marilyn A et al. (2016) Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging. Ultrasound Med Biol 42:2072-82
Hooi, Fong Ming; Kripfgans, Oliver; Carson, Paul L (2016) Acoustic attenuation imaging of tissue bulk properties with a priori information. J Acoust Soc Am 140:2113
Gu, Peng; Lee, Won-Mean; Roubidoux, Marilyn A et al. (2016) Automated 3D ultrasound image segmentation to aid breast cancer image interpretation. Ultrasonics 65:51-8
Samala, Ravi K; Chan, Heang-Ping; Lu, Yao et al. (2015) Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images. Phys Med Biol 60:8457-79
Lu, Yao; Chan, Heang-Ping; Wei, Jun et al. (2015) Multiscale bilateral filtering for improving image quality in digital breast tomosynthesis. Med Phys 42:182-95
Zhang, Xing; Yuan, Jie; Du, Sidan et al. (2014) Improved digital breast tomosynthesis images using automated ultrasound. Med Phys 41:061911
LeCarpentier, Gerald L; Goodsitt, Mitchell M; Verweij, Sacha et al. (2014) Acoustic performance of mesh compression paddles for a multimodality breast imaging system. Ultrasound Med Biol 40:1503-11
Samala, Ravi K; Chan, Heang-Ping; Lu, Yao et al. (2014) Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume. Med Phys 41:021901
Samala, Ravi K; Chan, Heang-Ping; Lu, Yao et al. (2014) Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images. Phys Med Biol 59:7457-77

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