TY - JOUR
T1 - Clinical application of near infrared fiber optic spectroscopy for noninvasive bone assessment
AU - Shanas, No'ad
AU - Querido, William
AU - Dumont, Alexander
AU - Yonko, Elizabeth
AU - Carter, Erin
AU - Ok, Jina
AU - Karchner, James P.
AU - Barbe, Mary F.
AU - Ali, Sayed
AU - Patil, Chetan
AU - Raggio, Cathleen
AU - Pleshko, Nancy
N1 - Publisher Copyright:
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Approaches for noninvasive bone quality assessment are of great clinical need, particularly in individuals that require close monitoring of disease progression. X-ray measurements are standard approaches to assess bone quality; however, they have several disadvantages. Here, a nonionizing approach for noninvasive assessment of the second metacarpal bone based on near infrared (NIR) spectroscopy was investigated. Transcutaneous bone signal detection was experimentally confirmed with cadaveric hand data, and Monte Carlo modeling further indicated that 50% of the measured signals arise from bone. Spectral data were collected via a NIR fiber optic from the bone of individuals with osteogenesis imperfecta, a disease marked by frequent bone fractures and fragility. Multiple significant correlations were found between spectral parameters related to water, protein and fat, and standard bone quality parameters obtained by X-ray measurements. The results from this preliminary study highlight the potential application of NIR spectroscopy for the noninvasive assessment of bone quality.
AB - Approaches for noninvasive bone quality assessment are of great clinical need, particularly in individuals that require close monitoring of disease progression. X-ray measurements are standard approaches to assess bone quality; however, they have several disadvantages. Here, a nonionizing approach for noninvasive assessment of the second metacarpal bone based on near infrared (NIR) spectroscopy was investigated. Transcutaneous bone signal detection was experimentally confirmed with cadaveric hand data, and Monte Carlo modeling further indicated that 50% of the measured signals arise from bone. Spectral data were collected via a NIR fiber optic from the bone of individuals with osteogenesis imperfecta, a disease marked by frequent bone fractures and fragility. Multiple significant correlations were found between spectral parameters related to water, protein and fat, and standard bone quality parameters obtained by X-ray measurements. The results from this preliminary study highlight the potential application of NIR spectroscopy for the noninvasive assessment of bone quality.
UR - http://www.scopus.com/inward/record.url?scp=85078926157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078926157&partnerID=8YFLogxK
U2 - 10.1002/jbio.201960172
DO - 10.1002/jbio.201960172
M3 - Article
C2 - 31957205
AN - SCOPUS:85078926157
SN - 1864-063X
VL - 13
JO - Journal of Biophotonics
JF - Journal of Biophotonics
IS - 4
M1 - e201960172
ER -