- Research article
- Open Access
Risk factors and a prediction model for lower limb lymphedema following lymphadenectomy in gynecologic cancer: a hospital-based retrospective cohort study
BMC Women's Health volume 17, Article number: 50 (2017)
Lower limb lymphedema (LLL) is a chronic and incapacitating condition afflicting patients who undergo lymphadenectomy for gynecologic cancer. This study aimed to identify risk factors for LLL and to develop a prediction model for its occurrence.
Pelvic lymphadenectomy (PLA) with or without para-aortic lymphadenectomy (PALA) was performed on 366 patients with gynecologic malignancies at Yaizu City Hospital between April 2002 and July 2014; we retrospectively analyzed 264 eligible patients. The intervals between surgery and diagnosis of LLL were calculated; the prevalence and risk factors were evaluated using the Kaplan-Meier and Cox proportional hazards methods. We developed a prediction model with which patients were scored and classified as low-risk or high-risk.
The cumulative incidence of LLL was 23.1% at 1 year, 32.8% at 3 years, and 47.7% at 10 years post-surgery. LLL developed after a median 13.5 months. Using regression analysis, body mass index (BMI) ≥25 kg/m2 (hazard ratio [HR], 1.616; 95% confidence interval [CI], 1.030–2.535), PLA + PALA (HR, 2.323; 95% CI, 1.126–4.794), postoperative radiation therapy (HR, 2.469; 95% CI, 1.148–5.310), and lymphocyst formation (HR, 1.718; 95% CI, 1.120–2.635) were found to be independently associated with LLL; age, type of cancer, number of lymph nodes, retroperitoneal suture, chemotherapy, lymph node metastasis, herbal medicine, self-management education, or infection were not associated with LLL. The predictive score was based on the 4 associated variables; patients were classified as high-risk (scores 3–6) and low-risk (scores 0–2). LLL incidence was significantly greater in the high-risk group than in the low-risk group (HR, 2.19; 95% CI, 1.440–3.324). The cumulative incidence at 5 years was 52.1% [95% CI, 42.9–62.1%] for the high-risk group and 28.9% [95% CI, 21.1–38.7%] for the low-risk group. The area under the receiver operator characteristics curve for the prediction model was 0.631 at 1 year, 0.632 at 3 years, 0.640 at 5 years, and 0.637 at 10 years.
BMI ≥25 kg/m2, PLA + PALA, lymphocyst formation, and postoperative radiation therapy are significant predictive factors for LLL. Our prediction model may be useful for identifying patients at risk of LLL following lymphadenectomy. Providing an intensive therapeutic strategy for high-risk patients may help reduce the incidence of LLL and conserve the quality of life.
Gynecologic cancers comprised 16.3% of all cancer cases in women in 2012, and were estimated to include 528,000, 320,000, and 239,000 new worldwide cases of the cervical uterus, corpus uterus, and ovaries, respectively . The main treatment for gynecologic cancer is surgery, chemotherapy, and radiation therapy [2,3,4]. The surgical procedure involves pelvic lymphadenectomy (PLA) with or without (+/−) para-aortic lymphadenectomy (PALA), which is used for clinical staging and treatment [2,3,4]. PLA +/− PALA increases the volume of bleeding, duration of surgery, and postoperative complications; therefore, surgery must be evaluated and monitored properly [5, 6]. Lower limb lymphedema (LLL) is a frequent postoperative complication, and is a progressive and chronic disease characterized by lymph-carrying channel dysfunction  that is often accompanied by inflammation and fibrosis . LLL can be asymptomatic; otherwise, symptoms include swelling, lumps, puffiness, tightness, pain, and heaviness in the leg . Patients with LLL have a reduced quality of life (QOL) because of functional and cosmetic problems [10, 11]. Previous studies reported that LLL can develop any time between the immediate aftermath of surgery and many years thereafter [12,13,14]; hence, patients with LLL experience psychological and social burdens for extended periods of time .
Previous studies of risk factors for the development of LLL have been limited, and have investigated the roles of body mass index (BMI) [5, 13, 14, 16], the number of removed lymph nodes , the extent of lymph node dissection [9, 12], postoperative radiation therapy [14, 17], and postoperative infections [13, 14]. With respect to postoperative infections, few studies have investigated the sequence of events between the onset of infection and the subsequent onset of LLL. Moreover, studies do not always distinguish between cellulitis and lymphocyst infections. There is also scarce information on the relationship between lymphocyst formation, Chinese herbal medicines that are used by many patients, and patients’ self-management methods. Although there are several reported models for predicting lymphedema after axillary dissection in breast cancer [18,19,20,21], no prediction model for LLL has been reported to our knowledge. We therefore sought to definitively identify risk factors using retrospective statistical analysis, and to identify patients at high risk of LLL by creating a prediction model.
Our study was conducted at Yaizu City Hospital in Shizuoka Prefecture, Japan. This hospital houses 471 beds and has 7 clinical oncologists; it is a major provider of gynecological and other medical care for the 400,000 people living in Yaizu and its vicinity. Based on previous studies, we calculated that a sample size of 242 patients would provide 80% power to detect the occurrence of LLL with a type I error of 5%. A total of 366 Japanese patients with gynecologic malignancies underwent PLA +/− PALA as their primary surgical treatment at the Obstetrics and Gynecology Department of Yaizu City Hospital during the period between April 1, 2002 and July 31, 2014. Informed consent regarding the therapeutic strategy was obtained from all patients before treatment. The present study was submitted and approved by the Ethics Review Committee of Yaizu City Hospital in compliance with the Helsinki Declaration. Patients’ data were collected between September 1, 2015 and November 30, 2015 from their medical records. We excluded 102 patients as shown in Fig. 1; ultimately, 264 patients were enrolled in this study.
Patients were able to seek advice over the telephone or visit the hospital for emergency consultation at any time in response to changes in symptoms, including sensations of leg heaviness, swelling, pain, fever, and erythema. We identified patients with LLL by their medical records, as documented by self-reporting as well as physical examinations performed regularly by their gynecologic oncologist, wherein both lower limbs were inspected and palpated. We also performed Doppler ultrasonography and plasma D-dimer measurements, if necessary, to rule out deep venous thrombosis. The grade of LLL was based on the most severe finding in each patient; the evaluation was conducted according to the stage scale of the International Society of Lymphology . Stage 0 refers to a latent or sub-clinical condition where swelling is not yet evident despite impaired lymph transport, subtle changes in tissue fluid/composition, and changes in subjective symptoms. Stage I represents an early accumulation of fluid relatively high in protein content, which subsides with limb elevation. Stage II signifies a situation where limb elevation alone rarely reduces tissue swelling, and where pitting is manifest. Stage III encompasses lymphostatic elephantiasis where pitting can be absent and trophic skin changes such as acanthosis, further deposition of fat, fibrosis, and warty overgrowths develop. Damage to the lymphatic drainage occurs immediately in all patients who undergo lymphadenectomy, and is considered Stage 0. Because alleviation of random symptoms can occur by limb elevation, the designation of Stage I LLL may be subjective. Therefore, we considered a diagnosis of LLL to be Stage II disease or higher in order to exclude such subjective evaluation.
BMI was calculated based on a patient’s body weight immediately before surgery. While the retroperitoneal suture method was originally used for the incision between the para-aortic and pelvic areas, the areas of the internal and external iliac arteries are now left open according to procedural changes adopted in January 2013, with sutures placed only in the para-aortic area and the vaginal stump. Adjuvant therapy was then administered according to the pathological diagnosis of the extracted specimens. Postoperative radiation therapy principally involved pelvic external beam radiotherapy at 50 Gy, with the addition of vaginal brachytherapy to the vaginal stump at 12 Gy or para-aortic external beam radiotherapy at 45 Gy, as required. Adjuvant chemotherapy predominantly consisted of paclitaxel (175 mg/m2 once every 3 weeks or 80 mg/m2 once a week) and carboplatin (the area under the plasma concentration-time curve: 6.0 once every 3 weeks). The herbal medicine goshajinkigan (7.5 g/day; 2.5 g thrice daily) was administered for preventive and therapeutic purposes against paclitaxel-induced neuropathy; we tested this agent as it is also effective against edema. The presence of a lymphocyst was recorded upon detection of a cyst with a maximum diameter of ≥3 cm on ultrasonography or computed axial tomography. We investigated sites of infection (skin or lymphocyst) and estimated the onset times of LLL and infection; this determined whether LLL was actually caused by infection. Since April 2010, expert nurses have provided self-management education and guidance regarding LLL to patients who underwent lymphadenectomy. Guidance encompasses topics such as education about lymphedema mechanisms, self-measurement methods, and preventative methods against LLL that include skin care, manual lymphatic massage, compression garments, and moderate exercises.
The primary endpoint of this study was the occurrence of LLL. We calculated the durations between surgery and LLL diagnosis; patients who did not develop LLL were censored at the last follow-up date. Qualitative data were described using relative frequencies. Continuous data were expressed using the mean, standard deviation (SD), median, and interquartile range. To define the thresholds of categorical variables, we dichotomized each based on its median value: an age greater than 56 years and a number of lymph nodes greater than 42. The World Health Organization defines a normal body weight as a BMI between 18.5 to 25 kg/m2; therefore, a BMI of ≥25 kg/m2 was used as the cut-off for categorizing patients by weight. Univariate analysis of each variable was performed using the log-rank test, and the cumulative incidence was calculated using the Kaplan-Meier (KM) method. Variables were analyzed using the Cox proportional hazards method for all factors that showed P < 0.3 on univariate analysis, and the hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated after controlling simultaneously for potential confounders. The limit of significance for the analysis was defined as a P-value of 0.05; 2-sided tests were used in all calculations. We determined the relative weight of each variable in the prediction model by calculating its value consistent with each coefficient of the significant variables determined by the Cox model; each coefficient was rounded to each integer for its application, and each variable was assigned a value between 0 and 6 points. To confirm the prediction model’s efficacy, we tested it in the 264 enrolled patients. Patients were classified as high-risk or low-risk based on the KM grouping for each score, and their KM curves were constructed to determine the cumulative risk of LLL. The performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC). Analysis was conducted using the R statistical software (The R Foundation for Statistical Computing, Vienna, Austria, ver. 3.2.2) and EZR  (a modified version of R commander designed to add statistical functions frequently used in biostatistics).
Patient backgrounds along with findings and treatment methods are shown in Table 1. All 264 patients were Japanese, with a median age of 56 years (mean, 54.95; SD, 11.50; interquartile range [IQR], 46–63 years) and a median BMI of 22 kg/m2 (mean, 22.49; SD, 4.02; IQR, 20–25 kg/m2). PLA was performed in 43 patients, and PLA + PALA in 221 (up to the area above the inferior mesenteric artery in 69 patients and up to the area below the inferior mesenteric artery in 152). Lymph nodes metastasis was observed in 31 patients (11.7%). The median number of lymph node samples was 42 (mean, 42.70; SD, 18.27; IQR, 30–53). Seventeen patients with uterine cervical cancer or uterine endometrial cancer received postoperative radiation therapy. Ten patients took herbal medicine. Lymphocysts occurred in 93 patients (35.2%), unilaterally in 71 and bilaterally in 22.
The median follow-up duration for the 264 patients was 2064 days (range: 365–4868 days), with LLL occurring in 97 patients during this period. Figure 2 shows the cumulative incidence using the KM method. The cumulative incidence rate of LLL at 10 years was 47.7% (95% CI, 36.9–56.7%). The incidence reached 50% for those in which the condition occurred by 13.5 months. The cumulative incidences for each post-surgical year are shown in Table 2. Based on the cumulative number of patients at 10 years after surgery, the cumulative percentages were 48.4% within the first year, 63.3% within the second year, 68.8% within the third year, and 84.7% within the fifth year.
Table 3 shows the results of univariate analysis (log-rank test) for each lymphedema risk factor. Variables extracted by univariate analysis were entered into the Cox model, and the results are displayed in Table 4. The factors shown to have a significant influence on LLL were BMI ≥25 kg/m2, PLA + PALA, radiotherapy, and lymphocyst formation. However, LLL did not correlate with age, type of cancer, number of lymph nodes, retroperitoneal suture, chemotherapy, lymph node metastasis, herbal medicine, self-management education, or infection. We assigned each variable a value according to its significance as determined by the Cox model as follows: BMI ≥25 kg/m2: 1 point, PLA + PALA: 2 points, radiotherapy: 2 points, and lymphocyst formation: 1 point. All 264 patients were scored (Fig. 3) and stratified into a low-risk group (those with cumulative scores of 0–2 points; 138 patients) and a high-risk group (those with cumulative scores of 3–6 points; 126 patients). Figure 4 compares the cumulative incidence of each group; the incidence of LLL in the high-risk group was significantly higher compared to that in the low-risk group. The cumulative incidence at 5 years was 52.1% [42.9%–62.1%] for the high-risk group and 28.9% [21.1%–38.7%] for the low-risk group. The AUC for the prediction model was 0.631 at 1 year, 0.632 at 3 years, 0.640 at 5 years, and 0.637 at 10 years.
In this study, we determined the risk factors for LLL to be BMI ≥25 kg/m2, PLA + PALA, lymphocyst formation, and postoperative radiation therapy. The effects of self-management education and Chinese herbal medicines, for which previous reports are scarce, were not found to be associated with LLL. Postoperative lower limb cellulitis and infected pelvic cavity lymphocysts did not significantly induce LLL. We also found that our new prediction model constructed according to the 4 risk factors reliably classified patients into high-risk and low-risk groups.
A positive association has been established between BMI and upper limb lymphedema in breast cancer [24, 25]. Previous studies of LLL, however, showed that its development may be associated with a higher BMI , a lower BMI , or have no association at all [5, 13]. We explored this aspect using the BMI as measured immediately before surgery, and divided the patients into 2 categories using BMI ≥25 kg/m2 as a cutoff for “overweight” or “obese” patients. Accordingly, we showed that a higher BMI was associated with the development of LLL. As the amount of adipose tissue increases in the lower extremity, lymphatic vessels may become dysfunctional, thereby reducing proximal lymphatic flow . It has been suggested that obesity increases perioperative complications [27,28,29]; therefore, it will be necessary to perform proper weight management once surgery is planned.
Regarding the extent of lymphadenectomy, we compared PLA + PALA to PLA alone. While no previous study has shown a significant association , we found that patients who underwent PLA + PALA have a higher risk of LLL. Recent studies revealed the dissection of circumflex iliac lymph nodes (CILs) to be an important risk factor [13, 30], although CILs were removed for all patients in our study. These results suggest that CILs have a greater impact on the development of LLL than PALA. CILs are located between the deep circumflex iliac vein and the femoral canal, and are involved in draining the lymph nodes of the lower limbs in the pelvis [13, 31]. Therefore, CILs ought to be preserved for patients at lower-risk of CIL metastasis [12, 13, 31]. Positron emission tomography-computed tomography and sentinel lymph node biopsy may be investigated further in order to determine an appropriate lymph node dissection range [5, 32, 33].
Our study showed a significant positive correlation between postoperative radiation therapy and LLL. Although radiation therapy was not a risk factor for LLL , studies have shown a significantly higher incidence of LLL in patients who underwent this type of therapy [17, 34]. Radiation therapy may prevent lymphatic reconstruction by inducing tissue fibrosis in the irradiated area . As chemotherapy may be a substitute for postoperative irradiation under certain conditions, its adaptation should be examined in future studies [36, 37].
We found a positive correlation between lymphocyst formation and the development of LLL, which is consistent with the findings of a previous study . These results suggest that the damage to the lymphatic system by surgery prevents the flow of lymphatic vessels; hence, lymphocyst formation may result from incomplete collateral lymphatic circulation. However, other reports indicated no significant correlation [12, 13], and this discrepancy may be due to the differences in the sizes, numbers, and symptoms of lymphocysts, as well as the imaging methods used to evaluate them. The development of future surgical techniques should therefore focus on suppressing the onset of lymphocysts.
Inflammation activates fibroblasts and causes hyperplasia of collagen fibers, which leads to lymphedema development . Previous reports have suggested a correlation between cellulitis and LLL [13, 14]; in order to confirm whether LLL was caused following cellulitis and lymphocyst infection, the times of LLL and infection onset were investigated in particular detail. In the present study, 31 patients with postoperative infections included 16 with lower limb cellulitis and 15 with lymphocyst infection. Of these, 20 patients developed LLL following infection with a median period to onset of 414 days (IQR, 63–1274 days), indicating no significant correlation between infection and the development of LLL. However, the analysis of 31 patients in whom infection occurred before and after LLL (Table 5) indicated a strong positive correlation (HR, 4.923; 95% CI, 2.585–9.381). Hence, the possibility should be considered that there is an interval between symptom onset and diagnosis of infection or LLL.
Until December 2012, we sutured the entire retroperitoneum at the last stage of lymphadenectomy. In January 2013, however, we began to constrain suturing only to the vaginal stump and para-aortic areas, and did not perform suturing in the external and internal iliac vessel area while using an adhesion-reducing agent instead. However, no significant difference between the 2 methods was observed in this study. Several reports documented similar findings [12, 13], although another suggested that non-closure in the retroperitoneum reduced lymphocyst formation and LLL . Leaving the retroperitoneum open may decrease lymphocyst formation, reducing lymphedema as a result.
Chinese herbal medicines that are reportedly used to treat lymphedema include goreisan, saireito, and goshajinkigan [39, 40]. These agents possess diuretic or anti-inflammatory properties, although their mechanisms and effects have not been fully elucidated. We investigated patients who took goshajinkigan for neuropathy, but were unable to confirm its efficacy. It may be necessary to investigate herbal medicines in a larger population to determine their true effects.
We provided self-management education on LLL to patients after lymphadenectomy starting in April 2010; however, we found no significant correlation between self-management education and the development of LLL in our study. Skin care during self-management is generally not useful on its own, but is one component of composite therapy . In upper lymphedema, manual (simple) lymph drainage had a preventive effect , and a program of slowly progressive weight lifting did not result in an increased incidence of lymphedema in the arms despite guidance advising breast cancer survivors to avoid lifting children, heavy bags, or other weighty objects . In contrast, similar investigations have not yet been performed for the lower limbs. The reason may be that the lower limbs are more likely to be impacted by gravity than the upper limbs because of postoperative lifestyles or employment conditions . We did not investigate how each patient currently practiced self-management at home; therefore, we advocate for advanced physical therapy to prevent LLL development.
Our data indicated that the incidence rate of LLL increases logarithmically; this rate was 32.8% at 3 years and 47.7% at 10 years. Previous studies have revealed incidences of LLL ranging from 1.2% to 58% [5, 14, 45,46,47]; however, these studies had varying observation periods, diagnostic criteria, patient backgrounds, and other such parameters. In particular, we graded LLL based on the most severe findings on both the lower limbs; however, the evaluation methods vary in different studies (particularly the diagnostic criteria). More importantly, we focused not on the differences in incidence rates between institutions but on the identification of causative and predictive factors for LLL. The prediction model derived from our data is useful to clinicians for identifying patients’ postoperative statuses, including staging, tissue types, complications, and other factors, and for decision-making regarding treatment. Patients who undergo lymph node dissection will be able to consider treatment options, including adjuvant therapy, depending on the calculated risk before surgery or even during postoperative follow-up, based on our model. Although a mainstay therapy for LLL has not yet been established, intensively therapeutic strategies for high-risk patients would prevent or reduce incidences of LLL and therefore improve the QOL of patients following lymphadenectomy. These retrospective data lay the groundwork for future prospective studies; at the same time, a larger retrospective study based on multicenter databases ought to be performed in order to improve the accuracy of our prediction model.
The limitations of our study include its retrospective nature, the fact that its data are derived from a single center with all Japanese patients, its limited sample size, and diagnostic bias. With respect to the latter, early stage subclinical lymphostasis (microlymphedema) is often not apparent on physical examination immediately after surgery. In recent years, lymphedema has also been evaluated using perometry and bioimpedance [48,49,50,51]. LLL might be diagnosed accurately if patients were evaluated using such devices during follow-up; however, these devices are not yet widely available because of their high cost. Therefore, the development of improved diagnostic criteria and methods of measurement is an important future goal. Additionally, we did not compare physical and psychological QOL changes using numerical/quantitative scales before vs. after the occurrence of lymphedema, it is worth investigating the correlation between the degree of lymphedema and QOL in each patient in the future.
We found that a BMI ≥25 kg/m2, PLA + PALA, lymphocyst formation, and postoperative radiation therapy are independent predictive factors for the development of LLL. A new prediction model constructed using these 4 factors was able to classify patients into high-risk and low-risk groups for LLL development. This model may be useful for predicting LLL in patients following lymphadenectomy, thus permitting intensive therapeutic strategies for high-risk patients aimed at reducing the risk of LLL development and conserving the QOL.
Area under the receiver operating characteristic curve
Body mass index
Circumflex iliac lymph node
Lower limb lymphedema
Quality of life
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–86.
Koh WJ, Greer BE, Abu-Rustum NR, Apte SM, Campos SM, Cho KR, et al. Cervical cancer, version 2.2015. J Natl Compr Cancer Netw. 2015;13:395–404. quiz 404
Koh WJ, Greer BE, Abu-Rustum NR, Apte SM, Campos SM, Chan J, et al. Uterine neoplasms, version 1.2014. J Natl Compr Cancer Netw. 2014;12:248–80.
Morgan RJ Jr, Alvarez RD, Armstrong DK, Burger RA, Chen LM, Copeland L, et al. Ovarian cancer, version 2.2013. J Natl Compr Cancer Netw. 2013;11:1199–209.
Achouri A, Huchon C, Bats AS, Bensaid C, Nos C, Lécuru F. Complications of lymphadenectomy for gynecologic cancer. Eur J Surg Oncol. 2013;39:81–6.
Angioli R, Plotti F, Cafà EV, Dugo N, Capriglione S, Terranova C, et al. Quality of life in patients with endometrial cancer treated with or without systematic lymphadenectomy. Eur J Obstet Gynecol Reprod Biol. 2013;170:539–43.
Liao S, von der Weid PY. Inflammation-induced lymphangiogenesis and lymphatic dysfunction. Angiogenesis. 2014;17:325–34.
Ghanta S, Cuzzone DA, Torrisi JS, Albano NJ, Joseph WJ, Savetsky IL, et al. Regulation of inflammation and fibrosis by macrophages in lymphedema. Am J Physiol Heart Circ Physiol. 2015;308:H1065–77.
Biglia N, Librino A, Ottino MC, Panuccio E, Daniele A, Chahin A. Lower limb lymphedema and neurological complications after lymphadenectomy for gynecological cancer. Int J Gynecol Cancer. 2015;25:521–5.
Tashiro K, Yamashita S, Saito T, Iida T, Koshima I. Proximal and distal patterns: different spreading patterns of indocyanine green lymphography in secondary lower extremity lymphedema. J Plast Reconstr Aesthet Surg. 2016;69:368–75.
Zaleska M, Olszewski WL, Durlik M. The effectiveness of intermittent pneumatic compression in long-term therapy of lymphedema of lower limbs. Lymphat Res Biol. 2014;12:103–9.
Ohba Y, Todo Y, Kobayashi N, Kaneuchi M, Watari H, Takeda M, et al. Risk factors for lower-limb lymphedema after surgery for cervical cancer. Int J Clin Oncol. 2011;16:238–43.
Hareyama H, Hada K, Goto K, Watanabe S, Hakoyama M, Oku K, et al. Prevalence, classification, and risk factors for postoperative lower extremity lymphedema in women with gynecologic malignancies: a retrospective study. Int J Gynecol Cancer. 2015;25:751–7.
Graf N, Rufibach K, Schmidt AM, Fehr M, Fink D, Baege AC. Frequency and risk factors of lower limb lymphedema following lymphadenectomy in patients with gynecological malignancies. Eur J Gynaecol Oncol. 2013;34:23–7.
Kim M, Suh DH, Yang EJ, Lim MC, Choi JY, Kim K, et al. Identifying risk factors for occult lower extremity lymphedema using computed tomography in patients undergoing lymphadenectomy for gynecologic cancers. Gynecol Oncol. 2017;144:153–8.
Kizer NT, Thaker PH, Gao F, Zighelboim I, Powell MA, Rader JS, et al. The effects of body mass index on complications and survival outcomes in patients with cervical carcinoma undergoing curative chemoradiation therapy. Cancer. 2011;117:948–56.
Todo Y, Yamamoto R, Minobe S, Suzuki Y, Takeshi U, Nakatani M, et al. Risk factors for postoperative lower-extremity lymphedema in endometrial cancer survivors who had treatment including lymphadenectomy. Gynecol Oncol. 2010;119:60–4.
Kim M, Kim SW, Lee SU, Lee NK, Jung SY, Kim TH, et al. A model to estimate the risk of breast cancer-related lymphedema: combinations of treatment-related factors of the number of dissected axillary nodes, adjuvant chemotherapy, and radiation therapy. Int J Radiat Oncol Biol Phys. 2013;86:498–503.
Bevilacqua JL, Kattan MW, Changhong Y, Koifman S, Mattos IE, Koifman RJ, et al. Nomograms for predicting the risk of arm lymphedema after axillary dissection in breast cancer. Ann Surg Oncol. 2012;19:2580–9.
Kim L, Jeon JY, Sung IY, Jeong SY, Do JH, Kim HJ. Prediction of treatment outcome with bioimpedance measurements in breast cancer related lymphedema patients. Ann Rehabil Med. 2011;35:687–93.
Soran A, Menekse E, Girgis M, DeGore L, Johnson R. Breast cancer-related lymphedema after axillary lymph node dissection: does early postoperative prediction model work? Support Care Cancer. 2016;24:1413–9.
International Society of Lymphology. The diagnosis and treatment of peripheral lymphedema: 2013 consensus document of the International Society of Lymphology. Lymphology. 2013;46:1–11.
Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013;48:452–8.
Ridner SH, Dietrich MS, Stewart BR, Armer JM. Body mass index and breast cancer treatment-related lymphedema. Support Care Cancer. 2011;19:853–7.
Helyer LK, Varnic M, Le LW, Leong W, McCready D. Obesity is a risk factor for developing postoperative lymphedema in breast cancer patients. Breast J. 2010;16:48–54.
Greene AK, Grant FD, Slavin SA. Lower-extremity lymphedema and elevated body-mass index. N Engl J Med. 2012;366:2136–7.
Nugent EK, Hoff JT, Gao F, Massad LS, Case A, Zighelboim I, et al. Wound complications after gynecologic cancer surgery. Gynecol Oncol. 2011;121:347–52.
Gunderson CC, Java J, Moore KN, Walker JL. The impact of obesity on surgical staging, complications, and survival with uterine cancer: a gynecologic oncology group LAP2 ancillary data study. Gynecol Oncol. 2014;133:23–7.
McTiernan A, Irwin M, Vongruenigen V. Weight, physical activity, diet, and prognosis in breast and gynecologic cancers. J Clin Oncol. 2010;28:4074–80.
Hareyama H, Ito K, Hada K, Uchida A, Hayakashi Y, Hirayama E, et al. Reduction/prevention of lower extremity lymphedema after pelvic and para-aortic lymphadenectomy for patients with gynecologic malignancies. Ann Surg Oncol. 2012;19:268–73.
Hoffman MS, Parsons M, Gunasekaran S, Cavanagh D. Distal external iliac lymph nodes in early cervical cancer. Obstet Gynecol. 1999;94:391–4.
Jewell EL, Huang JJ, Abu-Rustum NR, Gardner GJ, Brown CL, Sonoda Y, et al. Detection of sentinel lymph nodes in minimally invasive surgery using indocyanine green and near-infrared fluorescence imaging for uterine and cervical malignancies. Gynecol Oncol. 2014;133:274–7.
Ballester M, Dubernard G, Lécuru F, Heitz D, Mathevet P, Marret H, et al. Detection rate and diagnostic accuracy of sentinel-node biopsy in early stage endometrial cancer: a prospective multicentre study (SENTI-ENDO). Lancet Oncol. 2011;12:469–76.
Beesley VL, Rowlands IJ, Hayes SC, Janda M, O’Rourke P, Marquart L, et al. Incidence, risk factors and estimates of a woman's risk of developing secondary lower limb lymphedema and lymphedema-specific supportive care needs in women treated for endometrial cancer. Gynecol Oncol. 2015;136:87–93.
Tiwari P, Coriddi M, Salani R, Povoski SP. Breast and gynecologic cancer-related extremity lymphedema: a review of diagnostic modalities and management options. World J Surg Oncol. 2013;11:237.
Falcetta FS, Medeiros LR, Edelweiss MI, Pohlmann PR, Stein AT, Rosa DD. Adjuvant platinum-based chemotherapy for early stage cervical cancer. Cochrane Database Syst Rev. 2016;11:CD005342.
Takekuma M, Kasamatsu Y, Kado N, Kuji S, Tanaka A, Takahashi N, et al. Adjuvant chemotherapy versus concurrent chemoradiotherapy for high-risk cervical cancer after radical hysterectomy and systematic lymphadenectomy. Int J Clin Oncol. 2016;21:741–7.
Achouri A, Huchon C, Bats AS, Bensaïd C, Nos C, Lécuru F. Postoperative lymphocysts after lymphadenectomy for gynaecological malignancies: preventive techniques and prospects. Eur J Obstet Gynecol Reprod Biol. 2012;161:125–9.
Komiyama S, Takeya C, Takahashi R, Yamamoto Y, Kubushiro K. Feasibility study on the effectiveness of Goreisan-based Kampo therapy for lower abdominal lymphedema after retroperitoneal lymphadenectomy via extraperitoneal approach. J Obstet Gynaecol Res. 2015;41:1449–56.
Nagai A, Shibamoto Y, Ogawa K. Therapeutic effects of saireito (chai-ling-tang), a traditional Japanese herbal medicine, on lymphedema caused by radiotherapy: a case series study. Evid Based Complement Alternat Med. 2013;2013:241629.
Lasinski BB, McKillip Thrift K, Squire D, Austin MK, Smith KM, et al. A systematic review of the evidence for complete decongestive therapy in the treatment of lymphedema from 2004 to 2011. PM R. 2012;4:580–601.
Torres Lacomba M, Yuste Sánchez MJ, Zapico Goñi A, Prieto Merino D, Mayoral del Moral O, Cerezo Téllez E, et al. Effectiveness of early physiotherapy to prevent lymphoedema after surgery for breast cancer: randomised, single blinded, clinical trial. BMJ. 2010;340:b5396.
Schmitz KH, Ahmed RL, Troxel AB, Cheville A, Lewis-Grant L, Smith R, et al. Weight lifting for women at risk for breast cancer-related lymphedema: a randomized trial. JAMA. 2010;304:2699–705.
Cheng MH, Huang JJ, Nguyen DH, Saint-Cyr M, Zenn MR, Tan BK, et al. A novel approach to the treatment of lower extremity lymphedema by transferring a vascularized submental lymph node flap to the ankle. Gynecol Oncol. 2012;126:93–8.
Bergmark K, Avall-Lundqvist E, Dickman PW, Henningsohn L, Steineck G. Lymphedema and bladder-emptying difficulties after radical hysterectomy for early cervical cancer and among population controls. Int J Gynecol Cancer. 2006;16:1130–9.
Kim JH, Choi JH, Ki EY, Lee SJ, Yoon JH, Lee KH, et al. Incidence and risk factors of lower-extremity lymphedema after radical surgery with or without adjuvant radiotherapy in patients with FIGO stage I to stage IIA cervical cancer. Int J Gynecol Cancer. 2012;22:686–91.
Finnane A, Hayes SC, Obermair A, Janda M. Quality of life of women with lower-limb lymphedema following gynecological cancer. Expert Rev Pharmacoecon Outcomes Res. 2011;11:287–97.
Czerniec SA, Ward LC, Lee MJ, Refshauge KM, Beith J, Kilbreath SL. Segmental measurement of breast cancer-related arm lymphoedema using perometry and bioimpedance spectroscopy. Support Care Cancer. 2011;19:703–10.
Paskett ED, Dean JA, Oliveri JM, Harrop JP. Cancer-related lymphedema risk factors, diagnosis, treatment, and impact: a review. J Clin Oncol. 2012;30:3726–33.
Gaw R, Box R, Cornish B. Bioimpedance in the assessment of unilateral lymphedema of a limb: the optimal frequency. Lymphat Res Biol. 2011;9:93–9.
Ward L, Winall A, Isenring E, Hills A, Czerniec S, Dylke E, et al. Assessment of bilateral limb lymphedema by bioelectrical impedance spectroscopy. Int J Gynecol Cancer. 2011;21:409–18.
We gratefully acknowledge the support of the gynecology ward staff and hospital management of Yaizu City Hospital. We would also like to thank Yuko Suzuki, Yuki Ishii, and Mari Oune for their assistance in the nursing activities.
The authors did not receive funding from any external sources for this study.
Availability of data and materials
The dataset supporting the conclusions of this article is included within the article (and its additional file[s]).
Ethics approval and consent to participate
This study was submitted and approved by the Ethics Review Committee of Yaizu City Hospital (No. 152) in compliance with the Helsinki Declaration. The Committee waived the requirement for informed consent owing to the retrospective nature of the study. Information concerning the study was posted on our institution’s web site, and patients were provided the opportunity to opt out.
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The authors declare that they have no competing interests.
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Kuroda, K., Yamamoto, Y., Yanagisawa, M. et al. Risk factors and a prediction model for lower limb lymphedema following lymphadenectomy in gynecologic cancer: a hospital-based retrospective cohort study. BMC Women's Health 17, 50 (2017). https://doi.org/10.1186/s12905-017-0403-1
- Lower limb lymphedema
- Lymph node dissection
- Body mass index
- Prediction model