Lymphovenous Bypass for Immediate Lymphatic Reconstruction in Breast Cancer Patients Undergoing Axillary Lymph Node Dissection: Minimizing the Risk of Upper Extremity Lymphedema
Bibliographic record
Abstract
Abstract Background Studies have shown a significant reduction in breast cancer-related lymphedema (BCRL) rates in patients undergoing complete axillary lymph node dissection (cALND) combined with immediate lymphatic reconstruction (ILR) using lymphovenous bypass (LVB).The purpose of this study was to determine if ILR with LVB at the time of cALND results in a decreased incidence of BCRL and its impact on patient quality of life (QOL). Methods In this prospective cohort study, patients ≥ 18 years requiring cALND underwent ILR from 2019 to 2021. The primary outcome was bilateral upper limb volumes measured by Brørson's truncated cone formula and the Pero-System (3D Körper Scanner). The secondary outcome was QOL measured by the Lymphedema Quality of Life (LYMQOL) arm patient-reported outcome measurement. Results Forty-two patients consented to ILR using LVB. ILR was completed in 41 patients with a mean of 1.9 ± 0.9 lymphovenous anastomosis performed. Mean age of patients was 52.4 ± 10.5 years with a mean body mass index of 27.5 ± 4.9 kg/m2. All patients (n = 39, 100%) received adjuvant therapy after ILR. Mean follow-up was 15.2 ± 5.1 months. Five patients met criteria for lymphedema throughout the duration of the study (12.8%), with two patients having resolution, with an overall incidence of 7.7% by the end of the study period. Patients with lymphedema were found to have statistically significant lower total LYMQOL values at 18 months (8.44 ± 1.17 vs. 3.23 ± 0.56, p < 0.001). A mean increase of 0.73 ± 3.5 points was observed for overall QOL average for upper limb function at 18 months compared with 3 months (t = 0.823, p = 0.425). Conclusion This study showed an incidence of 7.7% lymphedema development throughout the duration of study. We also showed that ILR has the potential to reduce the significant long-term adverse outcomes of lymphedema and improve QOL for patients undergoing cALND
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".