Literature DB >> 15250768

Non-ionizing near-infrared radiation transillumination spectroscopy for breast tissue density and assessment of breast cancer risk.

Michelle K Simick1, Roberta Jong, Brian Wilson, Lothar Lilge.   

Abstract

There is increasing attention to prevention as a means to reduce cancer incidence. Prevention interventions or therapies in turn rely on risk assessment programs to identify those women most likely to benefit from education and lifestyle changes. These programs are usually based either on interviews to identify ethnic, genetic, and lifestyle factors contributing to risk or on physical examination of the breast. For the latter it has been shown that the parenchymal density pattern observed in X-ray mammography can be used to assess an individual's risk. Extensive areas of dense, glandular tissue that are relatively radio-opaque are associated with higher breast cancer risk, with an odds ratio of 4 to 6 compared with women in whom the breast density is low owing to an abundance of adipose tissue. Near-infrared optical transillumination spectroscopy has been used previously to investigate the physiological properties of breast tissue. In this study, women were recruited who underwent recently X-ray mammography. The tissue density was assessed by a radiologist. The women then underwent optical transillumination spectroscopy, for which an instrument was developed that delivered visible and near-infrared light to the breast. After being transmitted through the breast craniocaudally in one of four quadrants, the spectrum from 625 to 1050 nm was measured. The spectra were used as input to a Principal Component Analysis (PCA) that used the corresponding mammographic density as the reference standard. The study group consisted of 92 women aged 39 to 72 years. Without further stratification for age, menopausal status, or measurement position, the PCA numerical model predicted the radiological assessment of tissue density in the mid 80% to low 90%.

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Year:  2004        PMID: 15250768     DOI: 10.1117/1.1758269

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  18 in total

1.  3D Multi-spectral Image-guided Near-infrared Spectroscopy using Boundary Element Method.

Authors:  Subhadra Srinivasan; Brian W Pogue; Keith D Paulsen
Journal:  WIT Trans Modelling Simul       Date:  2008

2.  Imaging breast adipose and fibroglandular tissue molecular signatures by using hybrid MRI-guided near-infrared spectral tomography.

Authors:  Ben Brooksby; Brian W Pogue; Shudong Jiang; Hamid Dehghani; Subhadra Srinivasan; Christine Kogel; Tor D Tosteson; John Weaver; Steven P Poplack; Keith D Paulsen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

Review 3.  Advances in optical spectroscopy and imaging of breast lesions.

Authors:  Stavros G Demos; Abby J Vogel; Amir H Gandjbakhche
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

4.  Diffuse Optics for Tissue Monitoring and Tomography.

Authors:  T Durduran; R Choe; W B Baker; A G Yodh
Journal:  Rep Prog Phys       Date:  2010-07

5.  Computer aided automatic detection of malignant lesions in diffuse optical mammography.

Authors:  David R Busch; Wensheng Guo; Regine Choe; Turgut Durduran; Michael D Feldman; Carolyn Mies; Mark A Rosen; Mitchell D Schnall; Brian J Czerniecki; Julia Tchou; Angela DeMichele; Mary E Putt; Arjun G Yodh
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

6.  Near-Infrared Visual Differentiation in Normal and Abnormal Breast Using Hemoglobin Concentrations.

Authors:  Parinaz Mehnati; Sirous Khorram; Mohammad Sadegh Zakerhamidi; Farhood Fahima
Journal:  J Lasers Med Sci       Date:  2017-12-26

7.  Feasibility of near-infrared diffuse optical spectroscopy on patients undergoing imageguided core-needle biopsy.

Authors:  Bing Yu; Elizabeth S Burnside; Gale A Sisney; Josephine M Harter; Changfang Zhu; Al-Hafeez Dhalla; Nirmala Ramanujam
Journal:  Opt Express       Date:  2007-06-11       Impact factor: 3.894

8.  Towards non-invasive characterization of breast cancer and cancer metabolism with diffuse optics.

Authors:  David R Busch; Regine Choe; Turgut Durduran; Arjun G Yodh
Journal:  PET Clin       Date:  2013-07

9.  The LEGACY Girls Study: Growth and Development in the Context of Breast Cancer Family History.

Authors:  Esther M John; Mary Beth Terry; Theresa H M Keegan; Angela R Bradbury; Julia A Knight; Wendy K Chung; Caren J Frost; Lothar Lilge; Linda Patrick-Miller; Lisa A Schwartz; Alice S Whittemore; Saundra S Buys; Mary B Daly; Irene L Andrulis
Journal:  Epidemiology       Date:  2016-05       Impact factor: 4.822

10.  Effects of tissue heterogeneity on the optical estimate of breast density.

Authors:  Paola Taroni; Antonio Pifferi; Giovanna Quarto; Lorenzo Spinelli; Alessandro Torricelli; Francesca Abbate; Nicola Balestreri; Serena Ganino; Simona Menna; Enrico Cassano; Rinaldo Cubeddu
Journal:  Biomed Opt Express       Date:  2012-09-06       Impact factor: 3.732

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