Riverside Research Institute and the University of Hawaii and its affiliated Kuakini Medical Center propose to investigate the use """"""""of novel ultrasonic methods for discriminating between cancer-containing and cancer-free axillary lymph nodes of breast-cancer patients. Our emphasis will be on improving sentinel-node dissection biopsy procedures for breast-cancer patients;however, success in this project will benefit lymph- node evaluations of all types, not only for breast cancer, but also for a range of other cancers, including colorectal, epidermal (e.g., malignant melanoma), lymphatic, etc. Our premise is that the backscattering features of cancer-containing and cancer-free nodes differ sufficiently to differentiate between them using the proposed methods. Based on our extremely encouraging preliminary studies, our general hypothesis is that these methods can identify cancer-containing regions of dissected nodes using very-high-ultrasound frequencies with a simultaneous sensitivity and specificity of at least 90%. Our preliminary studies provide strong encouragement that our methods easily will validate this hypothesis. Our primary specific aims are to develop our methods when applied using very-high frequencies in the pathology laboratory to identify regions of nodes that warrant careful histologic examination. The methods we propose would be applied intra-operatively to better detect occult micrometastasis in sentinel-node dissections, and post-operatively to better detect metastasis in nodes excised by formal or radical dissections as well as in sentinel nodes. Our intention is to reduce markedly the failure of existing histopathological methods to detect metastases in 25% to 30% of excised nodes. We also aim to gain insight into underlying ultrasound-scattering mechanisms in lymph nodes. If we are successful in achieving our aims, major near-term benefits will result in evaluations of axillary lymph nodes in breast-cancer cases, and in the longer term, similar benefits will result in nodal evaluations for other cancers.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA100183-04
Application #
7669337
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Nordstrom, Robert J
Project Start
2006-09-30
Project End
2011-07-31
Budget Start
2009-08-01
Budget End
2011-07-31
Support Year
4
Fiscal Year
2009
Total Cost
$252,162
Indirect Cost
Name
Riverside Research Institute
Department
Type
DUNS #
046822615
City
New York
State
NY
Country
United States
Zip Code
10038
Tamura, Kazuki; Mamou, Jonathan; Coron, Alain et al. (2017) Effects of Signal Saturation on QUS Parameter Estimates Based on High-Frequency-Ultrasound Signals Acquired From Isolated Cancerous Lymph Nodes. IEEE Trans Ultrason Ferroelectr Freq Control 64:1501-1513
Oelze, Michael L; Mamou, Jonathan (2016) Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 63:336-51
Bui, Thanh Minh; Coron, Alain; Mamou, Jonathan et al. (2014) Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes. Jpn J Appl Phys (2008) 53:
Saegusa-Beecroft, Emi; Machi, Junji; Mamou, Jonathan et al. (2013) Three-dimensional quantitative ultrasound for detecting lymph node metastases. J Surg Res 183:258-69
Mamou, Jonathan; Saegusa-Beecroft, Emi; Coron, Alain et al. (2012) Three-dimensional quantitative ultrasound to guide pathologists towards metastatic foci in lymph nodes. Conf Proc IEEE Eng Med Biol Soc 2012:1114-7
Feleppa, Ernest J; Mamou, Jonathan; Porter, Christopher R et al. (2011) Quantitative ultrasound in cancer imaging. Semin Oncol 38:136-50
Hata, Masaki; Machi, Junji; Mamou, Jonathan et al. (2011) Entire-volume serial histological examination for detection of micrometastases in lymph nodes of colorectal cancers. Pathol Oncol Res 17:835-41
Mamou, Jonathan; Coron, Alain; Oelze, Michael L et al. (2011) Three-dimensional high-frequency backscatter and envelope quantification of cancerous human lymph nodes. Ultrasound Med Biol 37:345-57
Mamou, Jonathan; Coron, Alain; Hata, Masaki et al. (2010) Three-dimensional high-frequency characterization of cancerous lymph nodes. Ultrasound Med Biol 36:361-75