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1.
J Biomed Opt ; 8(3): 534-44, 2003 Jul.
Article in English | MEDLINE | ID: mdl-12880361

ABSTRACT

We observed a difference in the thermal response of localized reflectance signal of human skin between type 2 diabetics and nondiabetics. We investigated the use of this thermo-optical behavior as the basis for a noninvasive method for the determination of the diabetic status of a subject. We used a two-site temperature differential method, which is predicated upon the measurement of localized reflectance from two areas on the surface of the skin. Each of these areas is subjected to a different thermal perturbation. The response of localized reflectance to temperature perturbation was measured and used in a classification algorithm. We used a discriminant function to classify subjects as diabetic or nondiabetic. In a prediction set of twenty-four noninvasive tests collected from six diabetic and six nondiabetic subjects, the sensitivity ranged between 73 and 100%, and the specificity ranged between 75 and 100%, depending on the thermal conditions and the probe-skin contact time. The difference in the thermo-optical response of the skin of the two groups is explained in terms of a difference in the response of cutaneous microcirculation, which is manifested as a difference in the near-infrared light absorption. Another factor is the difference in the temperature response of the scattering coefficient between the two groups, which may be caused by cutaneous structural differences induced by nonenzymatic glycation of skin protein fibers, and possibly by the difference in blood cell aggregation.


Subject(s)
Cold Temperature , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/metabolism , Diagnosis, Computer-Assisted/methods , Hot Temperature , Skin Temperature/radiation effects , Spectrophotometry, Infrared/methods , Algorithms , Forearm/radiation effects , Humans , Reproducibility of Results , Sensitivity and Specificity , Temperature , Tomography, Optical/methods
2.
Clin Chem ; 49(6 Pt 1): 924-34, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12765989

ABSTRACT

BACKGROUND: Most proposed noninvasive methods for glucose measurements do not consider the physiologic response of the body to changes in glucose concentration. Rather than consider the body as an inert matrix for the purpose of glucose measurement, we exploited the possibility that noninvasive measurements of glucose can be approached by investigating their effects on the skin's thermo-optical response. METHODS: Glucose concentrations in humans were correlated with temperature-modulated localized reflectance signals at wavelengths between 590 and 935 nm, which do not correspond to any near-infrared glucose absorption wavelengths. Optical signal was collected while skin temperature was modulated between 22 and 38 degrees C over 2 h to generate a periodic set of cutaneous vasoconstricting and vasodilating events, as well as a periodic change in skin light scattering. The method was tested in a series of modified meal tolerance tests involving carbohydrate-rich meals and no-meal or high-protein/no-carbohydrate meals. RESULTS: The optical data correlated with glucose values. Changes in glucose concentrations resulting from a carbohydrate-rich meal were predicted with a model based on a carbohydrate-meal calibration run. For diabetic individuals, glucose concentrations were predicted with a standard error of prediction <1.5 mmol/L and a prediction correlation coefficient 0.73 in 80% of the cases. There were run-to-run differences in predicted glucose concentrations. Non-carbohydrate meals showed a high degree of scatter when predicted by a carbohydrate meal calibration model. CONCLUSIONS: Blood glucose concentrations alter thermally modulated optical signals, presumably through physiologic and physical effects. Temperature changes drive cutaneous vascular and refractive index responses in a way that mimics the effect of changes in glucose concentration. Run-to-run differences are attributable to site-to-site structural differences.


Subject(s)
Blood Glucose/analysis , Skin/blood supply , Algorithms , Body Temperature , Carbohydrates/administration & dosage , Diabetes Mellitus/diagnosis , Dietary Proteins/administration & dosage , Food , Humans , Light , Linear Models , Male , Microcirculation , Middle Aged , Scattering, Radiation , Skin/chemistry , Spectrophotometry/methods
3.
J Biomed Opt ; 8(2): 191-205, 2003 Apr.
Article in English | MEDLINE | ID: mdl-12683845

ABSTRACT

We determine temperature effect on the absorption and reduced scattering coefficients (mu(a) and mu(s)(')) of human forearm skin. Optical and thermal simulation data suggest that mu( a) and mu(s)(') are determined within a temperature-controlled depth of approximately 2 mm. Cutaneous mu(s)(') change linearly with temperature. Change in mu(a) was complex and irreversible above body normal temperatures. Light penetration depth (delta) in skin increased on cooling, with considerable person-to-person variations. We attribute the effect of temperature on mu(s)(') to change in refractive index mismatch, and its effect on mu(a) to perfusion changes. The reversible temperature effect on mu (s)(' ) was maintained during more than 90 min. contact between skin and the measuring probe, where temperature was modulated between 38 and 22 degrees C for multiple cycles While temperature modulated mu(s)(' ) instantaneously and reversibly, mu(a) exhibited slower response time and consistent drift. There was a statistically significant upward drift in mu(a) and a mostly downward drift in mu( s)(') over the contact period. The drift in temperature-induced fractional change in mu(s)(') was less statistically significant than the drift in mu(s)('). Deltamu( s)(') values determined under temperature modulation conditions may have less nonspecific drift than mu(s)(') which may have significance for noninvasive determination of analytes in human tissue.


Subject(s)
Light , Models, Biological , Skin Physiological Phenomena/radiation effects , Skin/radiation effects , Temperature , Tomography, Optical/methods , Absorption , Computer Simulation , Dose-Response Relationship, Radiation , Forearm/pathology , Forearm/physiology , Forearm/radiation effects , Hot Temperature , Humans , Infrared Rays , Phantoms, Imaging , Scattering, Radiation , Skin/cytology , Skin Temperature/physiology , Skin Temperature/radiation effects
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