Screening Post-Menopausal Women for Osteoporosis by Complex Impedance Measurements of the Dominant Arm

Authors: Fırat Matur, Yekta Ülgen

Abstract:

Cole-Cole parameters of 40 post-menopausal women are compared with their DEXA bone mineral density measurements. Impedance characteristics of four extremities are compared; left and right extremities are statistically same, but lower extremities are statistically different than upper ones due to their different fat content. The correlation of Cole-Cole impedance parameters to bone mineral density (BMD) is observed to be higher for dominant arm. With the post-menopausal population, ANOVA tests of the dominant arm characteristic frequency, as a predictor for DEXA classified osteopenic and osteoporic population around lumbar spine, is statistically very significant. When used for total lumbar spine osteoporosis diagnosis, the area under the Receiver Operating Curve of the characteristic frequency is 0.830, suggesting that the Cole-Cole plot characteristic frequency could be a useful diagnostic parameter when integrated into standard screening methods for osteoporosis. Moreover, the characteristic frequency can be directly measured by monitoring frequency driven angular behavior of the dominant arm without performing any complex calculation.

Keywords: Bio-impedance spectroscopy, bone mineral density, characteristic frequency, osteoporosis, receiver operating curve.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108799

References:

[1] Heidi HY Ngai, Ching-Lung Cheung, Tzy-Jyun Yao, and Annie WC Kung, “Bioimpedance: can its addition to simple clinical criteria enhance the diagnosis of osteoporosis?,” Journal of bone and mineral metabolism, 27(3):372–378, 2009.
[2] S Kun and RA Peura, “Selection of measurement frequencies for optimal extraction of tissue impedance model parameters,” Medical & biological engineering & computing, 37(6):699–703, 1999.
[3] Daniel G´omez Abad, Development of a capacitive bioimpedance measurement system, Universitat Polit`ecnica de Catalunya, 2010.
[4] S. Grimnes and Ø. G. Martinsen, “Sources of error in tetrapolar impedance measurements on biomaterials and other ionic conductors”, Journal of Physics D: Applied Physics, 40(1):9, 2007.
[5] E. Huigen, Noise in biopotential recording using surface electrodes, PhD thesis, Ph. D. dissertation, Msc thesis, Delft Technical University, 2000. (Citado en p´agina 16.), 2000.
[6] A. Technologies, Agilent 4284A precision LCR meter operational manual, Agilent Technologies Japan, 2001.
[7] WMC Chumlea, RN Baumgartner, and CO Mitchell, “The use of segmental bioelectric impedance in estimating body composition” in In Vivo Body Composition Studies, pages 375–385. Springer, 1990.
[8] K. S. Cole and R. H. Cole, “Dispersion and absorption in dielectrics in alternating current characteristics,” The Journal of Chemical Physics, 9(4):341–351, 1941.
[9] M. Sezdi, Electrical impedance spectroscopy of human blood, PhD thesis, Ph. D. dissertation, Bogazici University, 1998., 1998.
[10] T. G. Lohman, “Skinfolds and body density and their relation to body fatness: a review,” Human Biology, pages 181–225, 1981.
[11] D. T. Felson, Y. Zhang, M. T. Hannan, and J. J. Anderson, “Effects of weight and body mass index on bone mineral density in men and women: the framingham study,” Journal of Bone and Mineral Research, 8(5):567–573, 1993.
[12] R. N. Baumgartner, P. M. Stauber, K. Koehler, L. Romero, and P. Garry, “Associations of fat and muscle masses with bone mineral in elderly men and women,” The American journal of clinical nutrition, 63(3):365–372, 1996.
[13] D. Bracco, D. Thi´ebaud, R. L. Chiol´ero, M. Landry, P. Burckhardt, and Y. Schutz, “Segmental body composition assessed by bioelectrical impedance analysis and dexa in humans,” Journal of Applied Physiology, 81(6):2580–2587, 1996.
[14] J. D. Romano and R. H. Price, “The conical resistor conundrum: a potential solution,” American Journal of Physics, 64(9):1150–1152, 1996.
[15] D. Shepard, “A two-dimensional interpolation function for irregularlyspaced data,” in Proceedings of the 1968 23rd ACM national conference, pages 517–524. ACM, 1968.
[16] L. StataCorp. Stata user’s guide. College Station, TX: Stata Press, Stata- Corp LP, 1985.
[17] M. Software, Medcalc for windows (32 bit), version 12.7.3.0. MedCalc Software, Acacialaan 22, B-8400 Ostend, Belgium, 2013.
[18] N. A. Obuchowski, “Receiver operating characteristic curves and their use in radiology,” 1. Radiology, 229(1):3–8, 2003.
[19] D. G. Altman, Practical statistics for medical research, CRC Press, 1990.