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Updated: Nov 6, 2025
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
The effectiveness of axillary reverse mapping in preventing breast cancer-related lymphedema: a meta-analysis based
Xuhui Guo1, Dechuang Jiao1, Jiujun Zhu1
1Department of Breast Disease, Henan Breast Cancer Center, The affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Background:
Here, we carried out an extensive meta-analysis to investigate the effectiveness of the use of axillary reverse mapping (ARM) during axillary lymph node dissection (ALND) in preventing breast cancer-related lymphedema (BCRL).
Methods:
Database searches to identify relevant randomized controlled trials (RCTs) were performed of MEDLINE (PubMed), Web of Science, Embase, and the Cochrane Library. Eligible articles with a publication date from database establishment to December 2020 were retrieved by combining keywords including: "breast cancer", "breast carcinoma", "breast neoplasm", "axillary reverse mapping", "axillary lymph node dissection", "lymphatic arm drainage", and "lymphedema". Independent data extraction was conducted, and Review Manager (version 5.3) was used for statistical analyses.
Results:
Five eligible RCTs were included in the meta-analysis. A total of 37 patients suffered arm lymphedema (37/786, 4.71%) in the experimental group (ARM during ALND), compared with 164 arm lymphedemas (164/873, 18.79%) in the control group (ALND alone). The results showed that ARM during ALND was superior to ALND alone in reducing the incidence of BCRL [OR =0.20, 95% confidence intervals (CI): 0.13-0.29, P<0.00001]; however, the 2 procedures did not differ significantly in terms of oncological safety or shoulder movement (OR =0.30, 95% CI: 0.03-2.96, P=0.30; OR =0.44, 95% CI: 0.14-1.40, P=0.17).
Conclusions:
ARM during ALND can prevent and reduce the occurrence of BCRL in patients with early-stage BC during long-term follow-up. Due to the limited number of RCTs available, more in-depth, high-quality RCTs are urgently needed to provide a reliable and convincing basis for the application of ARM during ALND.
