Literature DB >> 21688978

Bioimpedance in the assessment of unilateral lymphedema of a limb: the optimal frequency.

Richelle Gaw1, Robyn Box, Bruce Cornish.   

Abstract

BACKGROUND: Bioimpedance techniques provide a reliable method of assessing unilateral lymphedema in a clinical setting. Bioimpedance devices are traditionally used to assess body composition at a current frequency of 50 kHz. However, these devices are not transferable to the assessment of lymphedema, as the sensitivity of measuring the impedance of extracellular fluid is frequency dependent. It has previously been shown that the best frequency to detect extracellular fluid is 0 kHz (or DC). However, measurement at this frequency is not possible in practice due to the high skin impedance at DC, and an estimate is usually determined from low frequency measurements. This study investigated the efficacy of various low frequency ranges for the detection of lymphedema. METHODS AND
RESULTS: Limb impedance was measured at 256 frequencies between 3 kHz and 1000 kHz for a sample control population, arm lymphedema population, and leg lymphedema population. Limb impedance was measured using the ImpediMed SFB7 and ImpediMed L-Dex(®) U400 with equipotential electrode placement on the wrists and ankles. The contralateral limb impedance ratio for arms and legs was used to calculate a lymphedema index (L-Dex) at each measurement frequency. The standard deviation of the limb impedance ratio in a healthy control population has been shown to increase with frequency for both the arm and leg. Box and whisker plots of the spread of the control and lymphedema populations show that there exists good differentiation between the arm and leg L-Dex measured for lymphedema subjects and the arm and leg L-Dex measured for control subjects up to a frequency of about 30 kHz.
CONCLUSIONS: It can be concluded that impedance measurements above a frequency of 30 kHz decrease sensitivity to extracellular fluid and are not reliable for early detection of lymphedema.

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Mesh:

Year:  2011        PMID: 21688978     DOI: 10.1089/lrb.2010.0020

Source DB:  PubMed          Journal:  Lymphat Res Biol        ISSN: 1539-6851            Impact factor:   2.589


  11 in total

1.  Lipedema and Dercum's Disease: A New Application of Bioimpedance.

Authors:  Rachelle Crescenzi; Paula M C Donahue; Sandra Weakley; Maria Garza; Manus J Donahue; Karen L Herbst
Journal:  Lymphat Res Biol       Date:  2019-08-13       Impact factor: 2.589

2.  Implementation of Single-Tab Electrodes for Bioimpedance Spectroscopy Measures.

Authors:  Paula M C Donahue; Rachelle Crescenzi; Liping Du; Manus J Donahue
Journal:  Lymphat Res Biol       Date:  2019-09-19       Impact factor: 2.589

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5.  Mean Expected Error in Prediction of Total Body Water: A True Accuracy Comparison between Bioimpedance Spectroscopy and Single Frequency Regression Equations.

Authors:  Fernando Seoane; Shirin Abtahi; Farhad Abtahi; Lars Ellegård; Gudmundur Johannsson; Ingvar Bosaeus; Leigh C Ward
Journal:  Biomed Res Int       Date:  2015-06-02       Impact factor: 3.411

6.  Utilization of bioimpedance spectroscopy in the prevention of chronic breast cancer-related lymphedema.

Authors:  David I Kaufman; Chirag Shah; Frank A Vicini; Marisa Rizzi
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7.  Risk factors and a prediction model for lower limb lymphedema following lymphadenectomy in gynecologic cancer: a hospital-based retrospective cohort study.

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Journal:  BMC Womens Health       Date:  2017-07-25       Impact factor: 2.809

8.  Feasibility of segmental bioelectrical impedance analysis for mild- to moderate-degree breast cancer-related lymphedema: Correlation with circumferential volume measurement and phase angle.

Authors:  Woo-Jin Kim; Geun-Yeol Jo; Ji-Ho Park; Hwan-Kwon Do
Journal:  Medicine (Baltimore)       Date:  2021-01-29       Impact factor: 1.817

9.  An objective measure for the assessment and management of fluid shifts in acute major burns.

Authors:  Pippa Kenworthy; Michael Phillips; Tiffany L Grisbrook; William Gibson; Fiona M Wood; Dale W Edgar
Journal:  Burns Trauma       Date:  2018-01-17

10.  Comparison of a novel algorithm quantitatively estimating epifascial fibrosis in three-dimensional computed tomography images to other clinical lymphedema grading methods.

Authors:  Kyo-In Koo; Myoung-Hwan Ko; Yongkwan Lee; Hye Won Son; Suwon Lee; Chang Ho Hwang
Journal:  PLoS One       Date:  2019-12-10       Impact factor: 3.240

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