Bioimpedance vector pattern in women with breast cancer detected by bioelectric impedance vector analysis. Preliminary observations

Teresa Małecka-Massalska 1, Krzysztof Chara 2, Agata Smolen 3, Andrzej Kurylcio 4, Wojciech Polkowski 4, Krystyna Lupa-Zatwarnicka 2
1 - Department of Physiology, Medical University, Lublin, Poland
2 - Department of Physiology, Medical University, Lublin, Poland
3 - Department of Mathematics and Biostatistics, Medical University, Lublin, Poland
4 - Department of Surgical Oncology, Medical University, Lublin, Poland
Ann Agric Environ Med
2012; 19 (4):
ICID: 1024055
Article type: Original article
 
 
Introduction and objectives: The study was conducted to evaluate soft tissue hydration and mass through pattern analysis of vector plots as height, normalized resistance, and reactance measurements by bioelectric impedance vector analysis (BIVA) in patients with breast cancer.
Materials and methods: Whole-body measurements were made with ImpediMed bioimpedance analysis SFB7 BioImp v1.55 (Pinkenba Qld 4008, Australia) in 68 adult, white, female subjects: 34 adult, white female (age 31-82) patients with breast cancer and 34 healthy volunteers matched by age, gender and BMI as a control group. The measurements were performed prior to oncological and surgical treatment, without the need for active nutritional interventions.
Results: Mean vectors of women with breast cancer versus the healthy women groups were characterized by a slight increase of the normalized resistance and reactance components (separate 95% confidence limits, p < 0.05) indicating that there were slight differences of soft tissue hydration and mass.
Conclusion: The results observed in the presented study provide valuable information on the nutritional status of the patient prior to surgery. This quick assessment of the patient nutritional status can allow for early corrective intervention.
Further observational research investigating these properties in larger groups would be beneficial to elucidate and/or confirm these findings.
PMID 23311792 - click here to show this article in PubMed
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