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Updated: Jun 14, 2026
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
Can ICF model for patients with breast-cancer-related lymphedema predict quality of life?
Jau-Yih Tsauo1, Hsiu-Chuan Hung, Han-Ju Tsai
1School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Goal Of Work:
The aim of the study was to investigate if the International Classification of Functioning, Disability and Health (ICF) model with clinical data from patients with breast-cancer-related lymphedema can predict their health-related quality of life (HRQL).
Materials And Methods:
Sixty-one patients with breast-cancer-related lymphedema were recruited. Data were collected from records, including age, type(s) of surgery, number of dissected lymph nodes and history of radiotherapy and/or chemotherapy, duration of lymphedema, and duration between surgery and enrollment. Excessive arm volume, average arm symptom, function of upper extremity (U/E), and HRQL were assessed four times during and after patients' treatment of lymphedema.
Results:
The ICF model accounted for 20.5% to 55.6% variance in each domain of HRQL. Activity and participation reflected by U/E function were the most important factor, significantly predicting every domain of HRQL. Among measured impairments, average arm symptom was found to be most correlated with U/E function (r = 0.590, P < 0.05).
Conclusion:
The ICF model consisting of clinical measures for patients with breast-cancer-related lymphedema can predict their HRQL. Activity and participation were the most important component. Arm symptoms rather than arm volume significantly correlated with U/E function. This might suggest that reducing arm symptoms is relatively more important while treating patients with breast-cancer-related lymphedema.
