Literature DB >> 16229636

Effect of hemoglobin concentration variation on the accuracy and precision of glucose analysis using tissue modulated, noninvasive, in vivo Raman spectroscopy of human blood: a small clinical study.

Joseph Chaiken1, William Finney, Paul E Knudson, Ruth S Weinstock, Muhktar Khan, Rebecca J Bussjager, Douglas Hagrman, Pamela Hagrman, Yiwei Zhao, Charles M Peterson, Karen Peterson.   

Abstract

Tissue modulated Raman spectroscopy was used noninvasively to measure blood glucose concentration in people with type I and type II diabetes with HemoCue fingerstick measurements being used as reference. Including all of the 49 measurements, a Clarke error grid analysis of the noninvasive measurements showed that 72% were A range, i.e., clinically accurate, 20% were B range, i.e., clinically benign, with the remaining 8% of measurements being essentially erroneous, i.e., C, D, or E range. Rejection of 11 outliers gave a correlation coefficient of 0.80, a standard deviation of 22 mg/dL with p<0.0001 for N=38 and places all but one of the measurements in the A and B ranges. The distribution of deviations of the noninvasive glucose measurements from the fingerstick glucose measurements is consistent with the suggestion that there are at least two systematic components in addition to the random noise associated with shot noise, charge coupled device spiking, and human factors. One component is consistent with the known variation of fingerstick glucose concentration measurements from laboratory reference measurements made using plasma or whole blood. A weak but significant correlation between the deviations of noninvasive measurements from fingerstick glucose measurements and the test subject's hemoglobin concentration was also observed. 2005 Society of Photo-Optical Instrumentation Engineers.

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Year:  2005        PMID: 16229636     DOI: 10.1117/1.1922147

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


  14 in total

1.  Effect of photobleaching on calibration model development in biological Raman spectroscopy.

Authors:  Ishan Barman; Chae-Ryon Kong; Gajendra P Singh; Ramachandra R Dasari
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

2.  Wavelength selection-based nonlinear calibration for transcutaneous blood glucose sensing using Raman spectroscopy.

Authors:  Narahara Chari Dingari; Ishan Barman; Jeon Woong Kang; Chae-Ryon Kong; Ramachandra R Dasari; Michael S Feld
Journal:  J Biomed Opt       Date:  2011-08       Impact factor: 3.170

3.  Accurate spectroscopic calibration for noninvasive glucose monitoring by modeling the physiological glucose dynamics.

Authors:  Ishan Barman; Chae-Ryon Kong; Gajendra P Singh; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Chem       Date:  2010-07-15       Impact factor: 6.986

4.  Requirements for calibration in noninvasive glucose monitoring by Raman spectroscopy.

Authors:  Jan Lipson; Jeff Bernhardt; Ueyn Block; William R Freeman; Rudy Hofmeister; Maya Hristakeva; Thomas Lenosky; Robert McNamara; Danny Petrasek; David Veltkamp; Stephen Waydo
Journal:  J Diabetes Sci Technol       Date:  2009-03-01

5.  Emerging trends in optical sensing of glycemic markers for diabetes monitoring.

Authors:  Rishikesh Pandey; Narahara Chari Dingari; Nicolas Spegazzini; Ramachandra R Dasari; Gary L Horowitz; Ishan Barman
Journal:  Trends Analyt Chem       Date:  2015-01-01       Impact factor: 12.296

6.  Investigation of the specificity of Raman spectroscopy in non-invasive blood glucose measurements.

Authors:  Narahara Chari Dingari; Ishan Barman; Gajendra P Singh; Jeon Woong Kang; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Bioanal Chem       Date:  2011-04-21       Impact factor: 4.142

7.  Raman spectroscopy-based sensitive and specific detection of glycated hemoglobin.

Authors:  Ishan Barman; Narahara Chari Dingari; Jeon Woong Kang; Gary L Horowitz; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Chem       Date:  2012-02-23       Impact factor: 6.986

8.  Noninvasive Blood and Tissue Analysis: Raman Spectroscopy, One Perspective for Monitoring of Glucose and Beyond.

Authors:  Joseph Chaiken; Charles M Peterson
Journal:  J Diabetes Sci Technol       Date:  2020-10-21

9.  Turbidity-corrected Raman spectroscopy for blood analyte detection.

Authors:  Ishan Barman; Gajendra P Singh; Ramachandra R Dasari; Michael S Feld
Journal:  Anal Chem       Date:  2009-06-01       Impact factor: 6.986

10.  In vivo blood glucose quantification using Raman spectroscopy.

Authors:  Jingwei Shao; Manman Lin; Yongqing Li; Xue Li; Junxian Liu; Jianpin Liang; Huilu Yao
Journal:  PLoS One       Date:  2012-10-25       Impact factor: 3.240

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