At-Home Bioelectrical Impedance Analysis (BIA) Monitoring of Adult Females at Risk of Breast Cancer-Related Lymphedema: Nonrandomized One-Year Longitudinal Feasibility Study
Bibliographic record
Abstract
Background: Breast cancer, the most common type of diagnosed cancer in women worldwide, is often associated with the development of lymphedema as a treatment-related effect. Patients undergoing surgery, radiation, or chemotherapy present a higher risk for this side effect. Historically, patients are often not referred to rehabilitation for lymphedema management until the swelling is visible and has progressed, which reduces the chance of reversing the disease progression. Surveillance is key to identifying the earliest signs of breast cancer-related lymphedema, initiating treatment, reversing the disease process, and reducing the impact on function. Objective: The primary goal of this study was to assess the feasibility of monitoring fluid levels in patients with cancer using a bioimpedance analysis home device and to detect any relevant changes that may correlate with an increased risk of developing lymphedema. Remote monitoring by a clinician has not previously been possible, and a comparable bioelectrical water analyzer device has never been available to patients within the comfort of their homes. Methods: The study included 8 adult patients diagnosed with unilateral breast cancer who underwent unilateral lumpectomy or mastectomy, bilateral mastectomy, or reconstruction and were followed for 12 months. Patients also underwent radiation or chemotherapy as part of their treatment before the study and, in some cases, during participation in the study. Clinic visits were required every 3 months, with standard care treatment administered by the clinician, as well as daily fluid monitoring, using the extracellular to total body water (ECW/TBW) ratio obtained with the home device. Results: Preliminary findings from the 8 cases showed that daily monitoring with the home device is possible, and may aid in the detection of fluid changes due to interventions like radiation or chemotherapy; these changes typically subside after treatment, compared to a permanent fluid increase that may indicate lymphedema. While one participant developed lymphedema, there is insufficient data to generalize the feasibility of early detection using the home device. A significant difference between ECW/TBW ratio measurements taken in the morning and evening (P values<.016) was observed for 6 participants, with morning values being higher than evening ones. Additionally, 7 participants showed a higher ECW/TBW ratio in the affected arm compared to the unaffected arm. On average, the ratio between the two values was higher than 1, approximately 75% of the time. The daily monitoring empowered patients to take charge of their health, with more than half expressing a desire to continue using the home device beyond the end of the study period. Conclusions: This case report shows the feasibility of daily remote monitoring for patients at risk of developing BCRL using a home bioimpedance analysis device.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".