Correlation analysis of upper limb lymphedema and the outcome of axillary lymph node surgery in breast cancer patients treated with postmastectomy radiation therapy
|更新时间:2026-01-27
|
Correlation analysis of upper limb lymphedema and the outcome of axillary lymph node surgery in breast cancer patients treated with postmastectomy radiation therapy
China OncologyVol. 28, Issue 1, Pages: 55-61(2018)
张顺康, 孙丽云, 陈 刚. Correlation analysis of upper limb lymphedema and the outcome of axillary lymph node surgery in breast cancer patients treated with postmastectomy radiation therapy[J]. China Oncology, 2018, 28(1): 55-61.
张顺康, 孙丽云, 陈 刚. Correlation analysis of upper limb lymphedema and the outcome of axillary lymph node surgery in breast cancer patients treated with postmastectomy radiation therapy[J]. China Oncology, 2018, 28(1): 55-61. DOI: 10.19401/j.cnki.1007-3639.2018.01.008.
Correlation analysis of upper limb lymphedema and the outcome of axillary lymph node surgery in breast cancer patients treated with postmastectomy radiation therapy
which is a kind of treatment-related toxicity commonly seen in breast cancer patients
significantly affects the quality of life in this population. The aim of this study was to observe the onset of upper limb lymphedema in breast cancer patients treated with postmastectomy radiation therapy (PMRT)
and to analyze the correlation between lymphedema and the outcome of axillary lymph node surgery (number of positive lymph nodes
total number of dissected lymph nodes and the ratio of the two
also called positive lymph node ratio)
and the influence of age
body mass index and other treatment-related factors on lymphedema. Methods: In this study
202 breast cancer patients treated with PMRT in Shanghai Huangpu District Central Hospital from Jan. 2015 to Dec. 2015 were prospectively collected. The onset of upper limb lymphedema in these patients from the beginning of radiation therapy to the 12th month after radiotherapy was observed by using upper limb circumference measurement. Results: One hundred and ninety-seven patients accomplished the follow-up and among them
38 were diagnosed with upper limb lymphedema (19.3%). In univariate analysis
number of positive lymph nodes (P0.001)
total number of dissected lymph nodes (P0.001) and positive lymph node ratio (P=0.002) between patients with and without lymphedema were significantly different
while age
body mass index and other treatment-related factors were not significantly different. In multivariate analysis
an increase in total number of dissected lymph nodes was the only independent risk factor for lymphedema in patients treated with PMRT (P 0.001). Conclusion: The onset of upper limb lymphedema in breast cancer patients treated with PMRT had correlation with the outcome of axillary lymph node surgery. An increase in total number of dissected lymph nodes was the independent risk factor for lymphedema. For patients with larger total number of dissected lymph nodes
we should take its risk for lymphedema into full consideration in the decision of postoperative treatment for breast cancer patients.
Guidelines for breast cancer diagnosis and treatment by China Anti-Cancer Association (2026 edition)
Progress and prospects of CENPA-driven chromosomal instability in breast cancer: mechanisms, prognostic implications, and therapeutic perspectives
A study of 30-year trends in incidence and mortality risks of breast cancer among young women in China
Impact of miR-193a-3p on migration and invasion of breast cancer stem cells through targeting TRIM14
Axillary management after neoadjuvant therapy for breast cancer and optimization of sentinel lymph node diagnosis and treatment
Related Author
The Society of Breast Cancer China Anti-Cancer Association
Breast Oncology Group of the Oncology Branch of the Chinese Medical Association
LU Ye
ZHANG Wenxiang
KONG Xiangyi
FANG Yi
WANG Jing
GAO Jidong
Related Institution
Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases
Department of Laboratory Medicine, Xingtai People’s Hospital