Bioelectrical Impedance Techniques in Medicine  Part I: Bioimpedance Measurement Second Section: Impedance Spectrometry

Rigaud, B.; Morucci, J. P.; Chauveau, N.

doi:10.1615/critrevbiomedeng.v24.i4-6.20

Cited by 146 publications

(98 citation statements)

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“…A possible explanation could be based on the fact that ischemia (i.e. blood occlusion) induces cell swelling and, consequent, narrowed extra-cellular paths for lowfrequency currents [25]. This type of behavior was found at low frequencies in liver in response to artificial ischemia (Δ|Z| N 10% in 1 min) [34].…”

Section: Discussionmentioning

confidence: 99%

In vivo electrical impedance measurements during and after electroporation of rat liver

Ivorra

Rubinsky

2007

Bioelectrochemistry

155

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Section: Discussionmentioning

confidence: 99%

In vivo electrical impedance measurements during and after electroporation of rat liver

Ivorra

Rubinsky

2007

Bioelectrochemistry

155

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“…Generally, the human body can be simulated by a number of analogous electrical circuit models with varying complexity (Rigaud et al 1996). The most commonly adopted circuit is the so-called Cole-Cole or Cole-Fricke-Cole model (Cole 1972), which assumes the human body to be corresponding to an RC circuit consisting of a resistor in parallel with a series circuit comprising a capacitor and resistor.…”

Section: Discussionmentioning

confidence: 99%

Estimation of maximal oxygen uptake by bioelectrical impedance analysis

et al. 2005

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Previous non-exercise models for the prediction of maximal oxygen uptake VO(2max) have failed to accurately discriminate cardiorespiratory fitness within large cohorts. The aim of the present study was to evaluate the feasibility of a completely indirect method for predicting VO(2max) that was based on bioelectrical impedance analysis (BIA) in 66 young, healthy fit men and women. Multiple, stepwise regression analysis was used to determine the usefulness of BIA and additional covariates to estimate VO(2max) (ml min(-1)). BIA was highly correlated to VO(2max) (r = 0.914; P < 0.001) and entered the regression equation first. The inclusion of gender and a physical activity rating further improved the model which accounted for 88% of the variance in VO(2max) and resulted in a relative standard error of the estimate (SEE) of 7.2%. Substantial agreement between the methods was confirmed by the fact that nearly all the differences were within +/-2 SD. Furthermore, in contrast to previously published non-exercise models, no trend of a reduction in prediction accuracy with increasing VO(2max) values was apparent. It was concluded that a non-exercise model based on BIA might be a rapid and useful technique to estimate VO(2max), when a direct test does not seem feasible. However, though the present results are useful to determine the viability of the method, further refinement of the BIA approach and its validation in a large, diverse population is needed before it can be applied to the clinical and epidemiological settings.

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“…In contrast to these observations in normal tissue, malignant tumours show substantially increased capacitance and conductivity values resulting in a decreased impedance [2,3]. These differences are (among other influencing mechanisms) attributed to changes of cellular water content, amount of extracellular fluid, membrane properties, packing density, destruction of tight junctions and cell membranes and a changed orientation of malignant cells [4]. Of key importance is the fact that most benign lesions exhibit the electrical properties similar to normal tissue and not of malignancies, thereby offering a potential of differentiation of benign and malignant lesions [3,5].…”

Section: Introductionmentioning

confidence: 81%

Influence of size and depth on accuracy of electrical impedance scanning

Malich

Facius

Anderson³

et al. 2003

Eur Radiol

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Cancer cells exhibit altered local dielectric properties which can be assessed using electrical impedance scanning (EIS). The study was aimed at clarifying influence of lesion size and depth on EIS performance. From a series of 387 lesions (129 malignant and 258 benign) from 363 patients being sonographically and/or mammographically evaluated, size and depth information was not available in 112 lesions, size was available in 86 lesions and additional depth information was available in 189 lesions, respectively, while performing EIS. Lesions were either histologically verified or had a follow-up of at least 2 years. One hundred three of 129 malignant lesions and 165 of 258 benign lesions were correctly detected (sensitivity 79.8%, specificity 64.0%, accuracy 71.9%). Sensitivity without knowledge of size and depth was 64.6% (10 of 16 malignant lesions detected). This value increased to 76.2% (32 of 42) with knowledge of the size and further increased to 85.9% with knowledge of size and depth (61 of 71). Specificity values in the three subgroups were almost similar: 64.6 (62 of 96), 65.9 (29 of 44), and 62.7% (74 of 118), respectively. Accuracy rises from 63.6% (without knowledge of size/depth) to 71.1 and 74.3% (with size knowledge and with size and depth knowledge, respectively). Accuracy of EIS improved significantly by including sonographical information about depth and size into the analysis. Ultrasound examination should be performed prior to EIS.

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Bioelectrical Impedance Techniques in Medicine Part I: Bioimpedance Measurement Second Section: Impedance Spectrometry

Cited by 146 publications

References 0 publications

In vivo electrical impedance measurements during and after electroporation of rat liver

In vivo electrical impedance measurements during and after electroporation of rat liver

Estimation of maximal oxygen uptake by bioelectrical impedance analysis

Influence of size and depth on accuracy of electrical impedance scanning

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