A Propensity-Matched Analysis of the Influence of Breast Reconstruction on Subsequent Development of Lymphedema

Feasibility and Clinical Utility of Prediction Models for Breast Cancer-Related Lymphedema Incorporating Racial Differences in Disease Incidence

Importance

Breast cancer-related lymphedema (BCRL) is a common complication of axillary lymph node dissection (ALND) but can also develop after sentinel lymph node biopsy (SLNB). Several models have been developed to predict the risk of disease development before and after surgery; however, these models have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, low sensitivity or specificity, and lack of risk assessment for patients treated with SLNB.

Objective

To create simple and accurate prediction models for BCRL that can be used to estimate preoperative or postoperative risk.

Design, Setting, and Participants

In this prognostic study, women with breast cancer who underwent ALND or SLNB from 1999 to 2020 at Memorial Sloan Kettering Cancer Center and the Mayo Clinic were included. Data were analyzed from September to December 2022.

Main Outcomes and Measures

Diagnosis of lymphedema based on measurements. Two predictive models were formulated via logistic regression: a preoperative model (model 1) and a postoperative model (model 2). Model 1 was externally validated using a cohort of 34 438 patients with an International Classification of Diseases diagnosis of breast cancer.

Results

Of 1882 included patients, all were female, and the mean (SD) age was 55.6 (12.2) years; 80 patients (4.3%) were Asian, 190 (10.1%) were Black, 1558 (82.8%) were White, and 54 (2.9%) were another race (including American Indian and Alaska Native, other race, patient refused to disclose, or unknown). A total of 218 patients (11.6%) were diagnosed with BCRL at a mean (SD) follow-up of 3.9 (1.8) years. The BCRL rate was significantly higher among Black women (42 of 190 [22.1%]) compared with all other races (Asian, 10 of 80 [12.5%]; White, 158 of 1558 [10.1%]; other race, 8 of 54 [14.8%]; P < .001). Model 1 included age, weight, height, race, ALND/SLNB status, any radiation therapy, and any chemotherapy. Model 2 included age, weight, race, ALND/SLNB status, any chemotherapy, and patient-reported arm swelling. Accuracy was 73.0% for model 1 (sensitivity, 76.6%; specificity, 72.5%; area under the receiver operating characteristic curve [AUC], 0.78; 95% CI, 0.75-0.81) at a cutoff of 0.18, and accuracy was 81.1% for model 2 (sensitivity, 78.0%; specificity, 81.5%; AUC, 0.86; 95% CI, 0.83-0.88) at a cutoff of 0.10. Both models demonstrated high AUCs on external (model 1: 0.75; 95% CI, 0.74-0.76) or internal (model 2: 0.82; 95% CI, 0.79-0.85) validation.

Conclusions and Relevance

In this study, preoperative and postoperative prediction models for BCRL were highly accurate and clinically relevant tools comprised of accessible inputs and underscored the effects of racial differences on BCRL risk. The preoperative model identified high-risk patients who require close monitoring or preventative measures. The postoperative model can be used for screening of high-risk patients, thus decreasing the need for frequent clinic visits and arm volume measurements.

Association between Immediate Breast Reconstruction and the Development of Breast Cancer-Related Lymphedema

BACKGROUND

With the increasing number of patients undergoing immediate breast reconstruction after mastectomy, the impact of immediate breast reconstruction on the risk of breast cancer-related lymphedema has become an emerging area of interest. This study aimed to identify the association between immediate breast reconstruction and postoperative lymphedema.

METHODS

A retrospective cohort study was conducted from 2006 to 2016 with 5900 consecutive patients who underwent mastectomy for primary breast cancer with or without immediate breast reconstruction. After excluding patients with synchronous contralateral breast cancer, lymphedema before mastectomy, history of procedures performed in the axillary region, and follow-up data of less than 1 year, the cumulative incidence of lymphedema after immediate breast reconstruction and after no reconstruction was calculated and compared using multivariate Cox regression analysis.

RESULTS

Overall, 5497 patients (mean age, 51.7 years) were included, and 630 developed lymphedema. The 5-year cumulative incidence rate of lymphedema was significantly reduced in patients who underwent immediate breast reconstruction versus control patients (9.6% versus 12.2%; P = 0.02). In the multivariate analysis, immediate breast reconstruction status (hazard ratio, 0.75; 95% confidence interval, 0.56 to 0.99; P = 0.042) was an independent predictor for lymphedema. Similar significant associations were observed in the subgroup analyses of patients with a body mass index less than 30 kg/m2 (P = 0.024), in those with fewer than 10 dissected lymph nodes (P = 0.042), or in those with adjuvant radiotherapy (P = 0.048).

CONCLUSIONS

Immediate breast reconstruction was associated with a reduced risk of lymphedema. These results may be used for predicting the development of lymphedema following breast reconstruction.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, II.

Factors influencing efficacy of complete decongestive treatment in patients with breast cancer-linked arm lymphoedema

Background/Aim: The most recommended form of lymphoedema therapy is complete decongestive treatment (CDT). Efficacy of CDT in patients with arm lymphoedema related to malignant breast tumour has reported in many studies, but the predictive factors of outcome of this therapy have not been yet sufficiently investigated. The purpose of this research was to identify predictive factors of efficacy of CDT in patients with breast cancer-linked arm lymphoedema throughout the intensive phase of therapy. Methods: The prospective study included 51 patients with breast cancer-linked arm lymphoedema who were subjected to a 3-week program of CDT. Patients' clinical and demographic features, breast cancer treatment characteristics, lymphoedema and CDT characteristics were collected and assessed for their prognostic value. The influence of certain predictors on the degree of lymphoedema reduction was evaluated by multivariate linear regression analysis. Results: Mean age was 58.1 ± 8.0 (95 % CI: 55.8 - 60.3), median of BMI was 28.4 kg/m2 (95 % CI: 27.2 - 29.6). The average duration of lymphoedema was 36.5 ± 43.9 months (95 % CI: 24.1 - 48.8). The mean size of lymphoedema before CDT was 6.99 ± 5.36 %, and the mean degree of lymphoedema reduction was 63.7 ± 28.6 %. The mean compliance to bandages was 217.5 ± 97.8 hours (95 % CI: 190.0 - 245.0) and 7 (13.7 %) patients had a history of erysipelas of the ipsilateral arm. When observing each individual predictor, statistically most significant contribution showed the size of lymphoedema before the therapy (p < 0.001), then history of erysipelas (p < 0.01), and patients' age (p < 0.05). Conclusion: Size of lymphoedema before treatment is the most crucial prognostic factor of the efficacy of CDT in the patients with breast cancer-linked arm lymphoedema. The present study also identified history of erysipelas and patients age as independent predictors of the CDT efficacy.

Evidence of stage progression in a novel, validated fluorescence-navigated and microsurgical-assisted secondary lymphedema rodent model

Secondary lymphedema (SL)is a frequent and devastating complication of modern oncological therapy and filarial infections. A lack of a reliable preclinical model to investigate the underlying mechanism of clinical stage progression has limited the development of new therapeutic strategies. Current first line treatment has shown to be merely symptomatic and relies on lifetime use of compression garments and decongestive physiotherapy. In this study, we present the development of a secondary lymphedema model in 35 rats using pre- and intraoperative fluorescence-guided mapping of the lymphatics and microsurgical induction. In contrast to the few models reported so far, we decided to avoid the use of radiation for lymphedema induction. It turned out, that the model is nearly free of complications and capable of generating a statistically significant limb volume increase by water displacement measurements, sustained for at least 48 days. A translational, accurate lymphatic dysfunction was visualized by a novel VIS-NIR X-ray ICG-Clearance-Capacity imaging technology. For the first-time SL stage progression was validated by characteristic histological alterations, such as subdermal mast cell infiltration, adipose tissue deposition, and fibrosis by increased skin collagen content. Immunofluorescence confocal microscopy analysis suggested that stage progression is related to the presence of a characteristic α SMA+/HSP-47+/vimentin+ fibroblast subpopulation phenotype. These findings demonstrate that the in-vivo model is a reliable and clinically relevant SL model for the development of further secondary lymphedema therapeutic strategies and the analysis of the veiled molecular mechanisms of lymphatic dysfunction.

Lymphoedema After Breast Cancer Treatment is Associated With Higher Body Mass Index: A Systematic Review and Meta-Analysis

Background:

Excess body weight has been identified as an important risk factor for lymphoedema following breast cancer treatment, however it remains unclear how much risk increases as weight increases. We conducted a meta-analysis to assess the relationship between body mass index (BMI) and risk of lymphoedema in breast cancer patients, and to estimate the level of risk by BMI category.

Methods:

We conducted a systematic search of all articles published through May 2018 in PubMed and the Cochrane library. Studies that included data on BMI and lymphoedema in breast cancer patients were included in the meta-analysis. We compared risk of lymphoedema in BMI groups as: BMI<25 versus BMI≥25, BMI<25 versus BMI≥30, BMI≥25 to <30 versus BMI≥30, BMI<30 versus BMI≥30, BMI<25 versus BMI≥25 to BMI<30.

Results:

After exclusion of ineligible studies, 57 studies were included in the meta-analysis. The mean difference in BMI between patients with lymphoedema compared to those without lymphoedema was 1.7 (95% CI, 1.3–2.2). Compared to patients with a BMI<25, risk of lymphoedema was higher in those with a BMI >25 to <30 (odds ratio [OR] 1.3; 95% CI, 1.2 to 1.5), a BMI≥25 (OR 1.7; 95% CI, 1.5 to 1.9), or a BMI≥30 (OR 1.9; 95% CI, 1.6 to 2.4). Compared to patients with a BMI of >25 to <30, risk of lymphoedema was higher in patients with a BMI>30 (OR 1.5; 95% CI,1.4 to 1.8).

Conclusion:

Excess body weight is a risk factor for lymphoedema following treatment of breast cancer, with the magnitude of risk increasing across higher categories of BMI.

Breast cancer-related lymphedema: risk factors, precautionary measures, and treatments

Breast cancer-related lymphedema (BCRL) is a negative sequela of breast cancer treatment, and well-established risk factors include axillary lymph node dissection (ALND) and regional lymph node radiation (RLNR). BCRL affects approximately 1 in 5 patients treated for breast cancer, and it has a significant negative impact on patients' quality of life after breast cancer treatment, serving as a reminder of previous illness. This paper is a comprehensive review of the current evidence regarding BCRL risk factors, precautionary guidelines, prospective screening, early intervention, and surgical and non-surgical treatment techniques. Through establishing evidence-based BCRL risk factors, researchers and clinicians are better able to prevent, anticipate, and provide early intervention for BCRL. Clinicians can identify patients at high risk and utilize prospective screening programs, which incorporate objective measurements, patient reported outcome measures (PROM), and clinical examination, thereby creating opportunities for early intervention and, accordingly, improving BCRL prognosis. Innovative surgical techniques that minimize and/or prophylactically correct lymphatic disruption, such as axillary reverse mapping (ARM) and lymphatic-venous anastomoses (LVAs), are promising avenues for reducing BCRL incidence. Nonetheless, for those patients with BCRL who remain unresponsive to conservative methods like complete decongestive therapy (CDT), surgical treatment options aiming to reduce limb volume or restore lymphatic flow may prove to be palliative or corrective. It is only through a strong team-based approach that such a continuum of care can exist, and a multidisciplinary approach to BCRL screening, intervention, and research is therefore strongly encouraged.

Autologous breast reconstruction in the postbariatric patient population

BACKGROUND

Over 175,000 Americans underwent bariatric surgery in 2013 alone, resulting in rapid growth of the massive weight loss population. As obesity is a known risk factor for breast cancer, plastic surgeons are increasingly challenged to reconstruct the breasts of massive weight loss patients after oncologic resection. The goal of this study is to assess the outcomes of autologous breast reconstruction in postbariatric surgery patients at a single institution.

METHODS

Patients who underwent autologous breast reconstruction between 2008 and 2014 were identified. Those with a history of bariatric surgery were compared to those without a history of bariatric surgery. Analysis included age, ethnicity, BMI, comorbidities, flap type, operative complications, and reoperation rates. Propensity matched analysis was also conducted to control for preoperative differences between the two cohorts.

RESULTS

Fourteen women underwent breast reconstruction following bariatric surgery, compared to 1,012 controls. Outcomes analysis revealed significant differences in breast revisions (1.35 vs. 0.61, P = .0055), implant placements (0.42 vs. 0.08, P = .0003), and total OR visits (2.78 vs. 1.67, P = .0007). There was no significant difference noted in delayed healing of the breast (57.4% vs. 33.7%, P = .087) or donor site (14.3% vs. 15.8%, P = 1.00).

CONCLUSIONS

As the rise in bariatric surgery mirrors that of obesity, an increasing amount of massive weight loss patients undergo treatment for breast cancer. We demonstrate profound differences in this patient population, particularly in regards to revision rates, which affects operative planning, patient counseling, and satisfaction.

Diagnostic Methods, Risk Factors, Prevention, and Management of Breast Cancer-Related Lymphedema: Past, Present, and Future Directions

PURPOSE OF REVIEW

Breast cancer-related lymphedema (BCRL) is a chronic, adverse, and much feared complication of breast cancer treatment, which affects approximately 20% of patients following breast cancer treatment. BCRL has a tremendous impact on breast cancer survivors, including physical impairments and significant psychological consequences. The intent of this review is to discuss recent studies and analyses regarding the risk factors, diagnosis, prevention through early screening and intervention, and management of BCRL.

RECENT FINDINGS

Highly-evidenced risk factors for BCRL include axillary lymph node dissection, lack of reconstruction, radiation to the lymph nodes, high BMI at diagnosis, weight fluctuations during and after treatment, subclinical edema within and beyond 3 months after surgery, and cellulitis in the at-risk arm. Avoidance of potential risk factors can serve as a method of prevention. Through establishing a screening program by which breast cancer patients are measured pre-operatively and at follow-ups, are objectively assessed through a weight-adjusted analysis, and are clinically assessed for signs and symptoms, BCRL can be tracked accurately and treated effectively. Management of BCRL is done by a trained professional, with research mounting towards the use of compression bandaging as a first line intervention against BCRL. Finally, exercise is safe for breast cancer patients with and without BCRL and does not incite or exacerbate symptoms of BCRL.

SUMMARY

Recent research has shed light on BCRL risk factors, diagnosis, prevention, and management. We hope that education on these aspects of BCRL will promote an informed, consistent approach and encourage additional research in this field to improve patient outcomes and quality of life in breast cancer survivors.

Lymphatic Drainage to the Paravertebral Lymph Nodes in Breast Cancer Patients

INTRODUCTION

Aberrant, altered, or blocked lymphatic drainage may contribute to the high recurrence rate of breast cancer. Thus, an efficient evaluation of lymphatic drainage from the breasts and/or upper limbs is essential in the management of lymphedema and in ipsilateral primary or contralateral recurrent breast cancer patients. There are very few reports of lymphatic drainage to the paravertebral lymph nodes in patients with a lymphedema after breast cancer surgery with or without reconstruction.

METHODS

We used lymphoscintigraphy to examine lymphatic drainage in a case series.

RESULTS

We observed five patients with upper limb and/or mammary lymphedema (after breast cancer surgery with or without reconstruction) who had lymphatic drainage from the upper limb or breast to the posterior intercostal and/or paravertebral lymph nodes. One patient also presented with nodal relapse at the time of our investigation.

CONCLUSIONS

The cases from this study demonstrate the unusual, and mostly unrecognized, lymphatic drainage pathways toward lymph nodes, which may be at risk for further evolution of breast cancer.

Complicated breast cancer-related lymphedema: evaluating health care resource utilization and associated costs of management

BACKGROUND

Lymphedema can become a disabling condition necessitating inpatient care. This study aimed to estimate complicated lymphedema incidence after breast cancer surgery and calculate associated hospital resource utilization.

METHODS

We identified adult women undergoing lumpectomy and/or mastectomy with axillary lymph node surgery between 2006 and 2012 using 5-state inpatient databases. Patients were grouped according to the development of complicated lymphedema. The primary outcomes were all-cause hospitalizations and health care charges within 2 years of surgery. Multivariate regression models were used to compare outcomes.

RESULTS

Of 56,075 women included, 2.3% had at least 1 hospital admission for complicated lymphedema within 2 years of surgery. Despite confounder adjustment, women with complicated lymphedema experienced 5 fold more all-cause (incidence rate ratio = 5.02, 95% confidence interval: 4.76 to 5.29) admissions compared with women without lymphedema. This resulted in substantially higher health care charges ($58,088 vs $31,819 per patient, P < .001). Although axillary dissection and certain comorbidities were associated with complicated lymphedema, breast reconstruction appeared unrelated.

CONCLUSIONS

Complicated lymphedema develops in a quantifiable number of patients. The health care burden of lymphedema underscored here mandates further investigation into targeted, anticipatory management strategies for breast cancer-related lymphedema.