Biomarkers in lymphedema assessment: integrating elastography and muti-frequency bioimpedance analysis

<b>Aim:</b> Multi-frequency bioimpedance analysis (MFBIA) is used to measure lymphedema, but it is a biomarker that is sensitive to stiffness. Lymphedema is a condition that can be accompanied by stiffness, but no studies have considered this, so we tried to use non-invasive elastography as a biomarker for stiffness.<b>Methods & results:</b> This retrospective study included 102 patients with lymphedema, divided into two groups according to the elastography strain ratio: stiff group (elastography strain ratio <0.7, n = 48) and non-stiff group (elastography strain ratio >0.7, n = 54). We estimated the volume of the affected arm based the extracellular water (ECW) volume calculated using MFBIA through a simple linear regression method. The adjusted R2 was 0.044 in the stiff group and 0.729 in the non-stiff group. Stepwise multivariate linear regression was used to investigate the significant factors for estimating the affected arm volume for each group. In the non-stiff group, the significantly associated factors were impedance at 50 kHz, weight, and height (adjusted R<sup>2</sup> = 0.724; <i>p</i> = 0.003). In the stiff group, significant associations were observed among impedance at 250 kHz, impedance at 1 kHz, weight, and height (adjusted R<sup>2</sup> = 0.705, <i>p</i> = 0.041).<b>Conclusion:</b> Considering the characteristics of lymphedema, using MFBIA concurrently with elastography can be useful biomarker for estimating lymphedema.

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Publication Details

Journal
Biomarkers in Medicine
Published
2024-10-24
DOI
https://doi.org/10.1080/17520363.2024.2415283
Citations
1
Primary Topic
Lymphatic System and Diseases
Type
article
Field-Weighted Citation Impact
0.28
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article

Biomarkers in lymphedema assessment: integrating elastography and muti-frequency bioimpedance analysis

Hyeonwoo Jeon, Si‐Woon Park, Namo Jeon, Bum-Suk Lee et al.
1 citations
Biomarkers in Medicine
Lymphatic System and Diseases
0.28
article

Biomarkers in lymphedema assessment: integrating elastography and muti-frequency bioimpedance analysis

Hyeonwoo Jeon, Si‐Woon Park, Namo Jeon, Bum-Suk Lee, Hyeong‐Wook Han, Daham Kim, Doo-Young Kim
article en
1 citations

Abstract

<b>Aim:</b> Multi-frequency bioimpedance analysis (MFBIA) is used to measure lymphedema, but it is a biomarker that is sensitive to stiffness. Lymphedema is a condition that can be accompanied by stiffness, but no studies have considered this, so we tried to use non-invasive elastography as a biomarker for stiffness.<b>Methods & results:</b> This retrospective study included 102 patients with lymphedema, divided into two groups according to the elastography strain ratio: stiff group (elastography strain ratio <0.7, n = 48) and non-stiff group (elastography strain ratio >0.7, n = 54). We estimated the volume of the affected arm based the extracellular water (ECW) volume calculated using MFBIA through a simple linear regression method. The adjusted R2 was 0.044 in the stiff group and 0.729 in the non-stiff group. Stepwise multivariate linear regression was used to investigate the significant factors for estimating the affected arm volume for each group. In the non-stiff group, the significantly associated factors were impedance at 50 kHz, weight, and height (adjusted R<sup>2</sup> = 0.724; <i>p</i> = 0.003). In the stiff group, significant associations were observed among impedance at 250 kHz, impedance at 1 kHz, weight, and height (adjusted R<sup>2</sup> = 0.705, <i>p</i> = 0.041).<b>Conclusion:</b> Considering the characteristics of lymphedema, using MFBIA concurrently with elastography can be useful biomarker for estimating lymphedema.

Biomarkers in MedicineVol. 18(21-22)
Catholic Kwandong University International St. Mary's Hospital (KR), Catholic Kwandong University (KR)
Openalex Percentile: Top 35%
Lymphatic System and Diseases
0.28
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Biomarkers in lymphedema assessment: integrating elastography and muti-frequency bioimpedance analysis — Hyeonwoo Jeon, Si‐Woon Park, et al. · Biomarkers in Medicine (2024) | TGRS Research Map | TGRS