Improving Precision of Bioimpedance Spectroscopic Analysis for Lymphedema and Lipedema Assessment

<b><i>Background:</i></b> Bioimpedance spectroscopy (BIS) is commonly used for the detection and monitoring of lymphedema and potentially lipedema. BIS measures limb electrical resistance, which decreases with fluid accumulation in these conditions. R0, the index of extracellular fluid and lymph accumulation, is typically estimated using Cole modeling, but technical and biological factors can affect accuracy. <b><i>Methods:</i></b> Participants with clinically affirmed bilateral leg lymphedema, lipedema, self-ascribed swelling, and healthy controls were included in this study. Impedance measurements were taken using a stand-on BIS device, and R0 was estimated using both the Cole modeling method and a regression approach. Quality of data fitting was assessed visually and statistically. <b><i>Results:</i></b> Control participants were younger and lighter compared with the clinical groups. The regression method was able to analyze 100% of participant data, whereas the Cole method was successful in only 80%-88% of cases in the lymphedema and lipedema groups. Additionally, the regression approach provided better curve fitting accuracy for all participants. <b><i>Conclusion:</i></b> The regression method offers a robust alternative for estimating R0 values in BIS data, especially in lower limb assessments where data analysis is challenging. The small difference between methods in absolute R0 values (2.5%) has minimal practical implications, suggesting interchangeability in data analysis. The Cole method showed poorer performance, particularly in participants with lymphedema, possibly due to differences in water proportions and limb size. Overall, the regression method can be effectively used in clinical practice for estimating R0 values in BIS data, offering a more accurate and reliable approach than traditional Cole plotting methods.

Authors

Institutions

Publication Details

Journal
Lymphatic Research and Biology
Published
2025-04-15
DOI
https://doi.org/10.1089/lrb.2024.0086
Primary Topic
Lymphatic System and Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Precision of Bioimpedance Spectroscopic Analysis for Lymphedema and Lipedema Assessment

Vincent Singh Paramanandam, Louise Koelmeyer, Leigh C. Ward, Belinda Thompson et al.
Lymphatic Research and Biology
Lymphatic System and Diseases
article

Improving Precision of Bioimpedance Spectroscopic Analysis for Lymphedema and Lipedema Assessment

Vincent Singh Paramanandam, Louise Koelmeyer, Leigh C. Ward, Belinda Thompson, Katrina Gaitatzis
article en

Abstract

<b><i>Background:</i></b> Bioimpedance spectroscopy (BIS) is commonly used for the detection and monitoring of lymphedema and potentially lipedema. BIS measures limb electrical resistance, which decreases with fluid accumulation in these conditions. R0, the index of extracellular fluid and lymph accumulation, is typically estimated using Cole modeling, but technical and biological factors can affect accuracy. <b><i>Methods:</i></b> Participants with clinically affirmed bilateral leg lymphedema, lipedema, self-ascribed swelling, and healthy controls were included in this study. Impedance measurements were taken using a stand-on BIS device, and R0 was estimated using both the Cole modeling method and a regression approach. Quality of data fitting was assessed visually and statistically. <b><i>Results:</i></b> Control participants were younger and lighter compared with the clinical groups. The regression method was able to analyze 100% of participant data, whereas the Cole method was successful in only 80%-88% of cases in the lymphedema and lipedema groups. Additionally, the regression approach provided better curve fitting accuracy for all participants. <b><i>Conclusion:</i></b> The regression method offers a robust alternative for estimating R0 values in BIS data, especially in lower limb assessments where data analysis is challenging. The small difference between methods in absolute R0 values (2.5%) has minimal practical implications, suggesting interchangeability in data analysis. The Cole method showed poorer performance, particularly in participants with lymphedema, possibly due to differences in water proportions and limb size. Overall, the regression method can be effectively used in clinical practice for estimating R0 values in BIS data, offering a more accurate and reliable approach than traditional Cole plotting methods.

Lymphatic Research and BiologyVol. 23(4)
The University of Queensland (AU), Macquarie University (AU)
Openalex Percentile: Top 89%
Lymphatic System and Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.