This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We are investigating the usage of Raman spectroscopy to guide stereotactic core needle biopsies of the breast for suspicious microcalcifications discovered at screening mammography. Microcalcifications are deposits of calcium mineral salts within breast tissue that mammographically localize the most clinically significant abnormality and are, therefore, a target for subsequent needle biopsy. Raman spectroscopy is exquisitely sensitive to the presence of calcium-containing minerals, and thus can be used to detect and localize microcalcifications in the breast. This can be done in vivo, in real-time, in a non-destructive manner, via optical fiber probes that are compatible with existing needle biopsy devices. The side-viewing Raman fiber optic probe provides capability of utilizing the excitation light from Raman source and delivering to and collecting the light from the breast tissue while the probe inserted into needle device. The probe is designed to fit into 9 gauge needle device most commonly used during stereotactic core needle biopsies. Similar to the front-viewing Raman probe that has been successfully used in the in vivo and ex vivo clinical studies, the side-viewing probe incorporate excitation and emission filters with coatings to suppress fiber background and enable efficient extraction of the Raman signal.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR002594-24
Application #
7955873
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Project Start
2009-06-01
Project End
2010-05-31
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
24
Fiscal Year
2009
Total Cost
$28,535
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Internal Medicine/Medicine
Type
Schools of Arts and Sciences
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Shih, Wei-Chuan; Bechtel, Kate L; Rebec, Mihailo V (2015) Noninvasive glucose sensing by transcutaneous Raman spectroscopy. J Biomed Opt 20:051036
Cooper, Kimberly L; Oh, Seungeun; Sung, Yongjin et al. (2013) Multiple phases of chondrocyte enlargement underlie differences in skeletal proportions. Nature 495:375-8
Sung, Yongjin; Tzur, Amit; Oh, Seungeun et al. (2013) Size homeostasis in adherent cells studied by synthetic phase microscopy. Proc Natl Acad Sci U S A 110:16687-92
Lau, Condon; Mirkovic, Jelena; Yu, Chung-Chieh et al. (2013) Early detection of high-grade squamous intraepithelial lesions in the cervix with quantitative spectroscopic imaging. J Biomed Opt 18:76013
Soares, Jaqueline S; Barman, Ishan; Dingari, Narahara Chari et al. (2013) Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications. Proc Natl Acad Sci U S A 110:471-6
Dudzik, Jonathan; Chang, Wen-Chi; Kannan, A M et al. (2013) Cross-linked glucose oxidase clusters for biofuel cell anode catalysts. Biofabrication 5:035009
Sathyavathi, R; Dingari, Narahara Chari; Barman, Ishan et al. (2013) Raman spectroscopy provides a powerful, rapid diagnostic tool for the detection of tuberculous meningitis in ex vivo cerebrospinal fluid samples. J Biophotonics 6:567-72
Dingari, Narahara Chari; Barman, Ishan; Saha, Anushree et al. (2013) Development and comparative assessment of Raman spectroscopic classification algorithms for lesion discrimination in stereotactic breast biopsies with microcalcifications. J Biophotonics 6:371-81
Byun, HeeSu; Hillman, Timothy R; Higgins, John M et al. (2012) Optical measurement of biomechanical properties of individual erythrocytes from a sickle cell patient. Acta Biomater 8:4130-8
Dingari, Narahara Chari; Barman, Ishan; Myakalwar, Ashwin Kumar et al. (2012) Incorporation of support vector machines in the LIBS toolbox for sensitive and robust classification amidst unexpected sample and system variability. Anal Chem 84:2686-94

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