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Erschienen in: BMC Women's Health 1/2017

Open Access 01.12.2017 | Research article

Risk factors and a prediction model for lower limb lymphedema following lymphadenectomy in gynecologic cancer: a hospital-based retrospective cohort study

verfasst von: Kenji Kuroda, Yasuhiro Yamamoto, Manami Yanagisawa, Akira Kawata, Naoya Akiba, Kensuke Suzuki, Kazutoshi Naritaka

Erschienen in: BMC Women's Health | Ausgabe 1/2017

Abstract

Background

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.

Methods

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.

Results

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.

Conclusion

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.
Abkürzungen
AUC
Area under the receiver operating characteristic curve
BMI
Body mass index
CI
Confidence interval
CIL
Circumflex iliac lymph node
HR
Hazard ratio
IQR
Interquartile range
KM
Kaplan-Meier
LLL
Lower limb lymphedema
PALA
Para-aortic lymphadenectomy
PLA
Pelvic lymphadenectomy
QOL
Quality of life
SD
Standard deviation

Background

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 [1]. The main treatment for gynecologic cancer is surgery, chemotherapy, and radiation therapy [24]. The surgical procedure involves pelvic lymphadenectomy (PLA) with or without (+/−) para-aortic lymphadenectomy (PALA), which is used for clinical staging and treatment [24]. 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 [7] that is often accompanied by inflammation and fibrosis [8]. LLL can be asymptomatic; otherwise, symptoms include swelling, lumps, puffiness, tightness, pain, and heaviness in the leg [9]. 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 [1214]; hence, patients with LLL experience psychological and social burdens for extended periods of time [15].
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 [14], 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 [1821], 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.

Methods

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 [22]. 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 [23] (a modified version of R commander designed to add statistical functions frequently used in biostatistics).

Results

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.
Table 1
Clinical characteristics and treatments according to the type of cancer
 
Uterine cervix
Uterine endometrium
Tube
Ovary
Vagina
P-value
All
78
113
2
68
3
 
Age (years), Median (IQR)
47 (41–56)
60 (52–65)
65 (63–66)
56 (50–62)
58 (50–65)
<0.001
BMI (kg/m2), Median (IQR)
21 (19–23)
23 (29–54)
26 (25–27)
22 (19–24)
22 (21–23)
<0.001
No. of LN, Median (IQR)
39 (29–45)
43 (29–54)
53 (51–54)
44 (34–58)
31 (25–46)
0.038
Extent of lymphadenectomy
 PLA, N (%)
22 (28.2)
15 (13.3)
0(0)
5 (7.4)
1 (33.3)
0.006
 PLA + PALA, N (%)
56 (71.8)
98 (86.7)
2 (100)
63 (92.6)
2 (66.7)
LN metastasis
 Positive, N (%)
11 (14.1)
9 (8)
1 (50)
10 (14.7)
0 (0)
0.196
 Negative, N (%)
67 (85.9)
104 (92)
1 (50)
58 (85.3)
3 (100)
Retroperitoneal suture
 Yes, N (%)
58 (74.4)
82 (72.6)
2 (100)
57 (83.8)
3 (100)
0.372
 No, N (%)
20 (25.6)
31 (27.4)
0 (0)
11 (16.2)
0 (0)
Radiation therapy
 Yes, N (%)
12 (15.4)
5 (4.4)
0 (0)
0 (0)
0 (0)
0.003
 No, N (%)
66 (84.6)
108 (95.6)
2 (100)
68 (100)
3 (100)
Chemotherapy
 Yes, N (%)
53 (67.9)
67 (59.3)
2 (100)
58 (85.3)
2 (66.7)
0.002
 No, N (%)
25 (32.1)
46 (40.7)
0 (0)
10 (14.7)
1 (33.0)
Herbal medicine
 Yes, N (%)
2 (2.6)
5 (4.4)
0 (0)
3 (4.4)
0 (0)
0.872
 No, N (%)
76 (97.4)
108 (95.6)
2 (100)
65 (95.6)
3 (100)
Self-management education
 Yes, N (%)
36 (46.2)
57 (50.4)
1 (50)
26 (38.2)
0 (0)
0.266
 No, N (%)
42 (53.8)
56 (49.6)
1 (50)
42 (61.8)
3 (100)
Infection
 Skin (cellulitis), N (%)
4 (5.1)
9 (8.0)
0 (0)
3 (4.4)
0 (0)
0.809
 Lymphocyst, N (%)
3 (3.8)
6 (5.3)
0 (0)
6 (8.8)
0 (0)
 No, N (%)
71 (91.0)
98 (86.7)
2 (100)
59 (86.8)
3 (100)
Lymphocyst formation
 Yes, N (%)
23 (29.5)
37 (32.7)
1 (50)
32 (47.1)
0 (0)
0.095
 No, N (%)
55 (70.5)
76 (67.3)
1 (50)
36 (52.9)
3 (100)
No. of patients excluded owing to their medical history
 Before surgery
0
0
1
2
0
 
 After surgery
0
4
0
2
0
Definition of abbreviations: IQR Interquartile range, BMI Body mass index, No. Number, LN Lymph node, PLA Pelvic lymphadenectomy, PALA Para-aortic lymphadenectomy
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 2
Cumulative incidence by Kaplan-Meier
Years after surgery (y)
Cumulative incidence (Wy)
Std Er
95% CI
Ratio (a)
1
0.231
0.0078
0.179–0.281
0.484
2
0.302
0.0124
0.243–0.356
0.633
3
0.328
0.0145
0.266–0.384
0.688
5
0.404
0.0233
0.333–0.468
0.847
8
0.426
0.0293
0.343–0.498
0.893
10
0.477
0.0458
0.369–0.567
1.000
Definition of abbreviations: Std Er Standard error, CI Confidence interval
aCumulative ratio for each year on the basis of the number of LLL patients within 10 years after surgery: Wy/W10
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.
Table 3
Incidences of LLL according to risk factors
Variables
Variable category
No. of patients
No. of patients with LLL (%)
P-value
Age, (years)
<56
127
40 (31.5)
0.089
≥56
137
57 (41.6)
BMI, (kg/m2)
<25
194
66 (34.0)
0.145
≥25
70
31 (44.3)
Type of cancer
Cervix
78
26 (33.3)
0.569
Body
113
46 (40.7)
Tube
2
1 (50.0)
Ovary
68
24 (35.3)
Vagina
3
0 (0)
Extent of Lymphadenectomy
PLA
43
10 (23.3)
0.045
PLA + PALA
221
87 (39.4)
No. of LN
<42
128
43 (33.6)
0.202
≥42
136
54 (39.7)
LN metastasis
Yes
31
9 (29.0)
0.270
No
233
88 (37.8)
Retroperitoneal suture
Yes
202
78 (38.6)
0.609
No
62
19 (30.6)
Radiation therapy
Yes
17
9 (52.9)
0.298
No
247
88 (35.6)
Chemotherapy
Yes
182
65 (35.7)
0.423
No
82
32 (39.0)
Herbal medicine
Yes
10
6 (60.0)
0.108
No
254
91 (35.8)
Self-management education
Yes
120
38 (31.7)
0.724
No
144
59 (41.0)
Infection
Skin (cellulitis)
9
6 (66.7)
0.105
Lymphocyst
11
6 (54.5)
No
244
85 (34.8)
Lymphocyst formation
Yes
93
46 (49.5)
0.003
No
171
51 (29.8)
Definition of abbreviations: IQR Interquartile range, BMI Body mass index, No. Number, LLL Lower limb lymphedema, LN Lymph node, PLA Pelvic lymphadenectomy, PALA Para-aortic lymphadenectomy
Table 4
Cox hazard analysis of LLL risk factors
 
Coefficient
Hazard ratio
95% CI
P-value
Age [≥56 years]
0.302
1.353
0.892–2.052
0.154
BMI [≥25 kg/m2]
0.480
1.616
1.030–2.535
0.037
PLA + PALA
0.843
2.323
1.126–4.794
0.023
No. of LN [≥42]
−0.022
0.978
0.631–1.515
0.920
LN metastasis
−0.481
0.618
0.305–1.251
0.181
Radiation therapy
0.903
2.469
1.148–5.310
0.021
Herbal medicine
0.613
1.846
0.779–4.376
0.164
Inf [skin (cellulitis)]
0.848
2.334
0.984–5.535
0.054
Inf [lymphocyst]
0.176
1.192
0.496–2.867
0.695
lymphocyst formation
0.541
1.718
1.120–2.635
0.013
Definition of abbreviations: BMI Body mass index, CI Confidence interval, Inf infection, PLA Pelvic lymphadenectomy, LLL Lower limb lymphedema, LN Lymph node, No. Number, PALA Para-aortic lymphadenectomy

Discussion

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 [26], a lower BMI [16], 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 [26]. It has been suggested that obesity increases perioperative complications [2729]; 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 [9], 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 [14], 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 [35]. 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 [14]. 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 [8]. 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.
Table 5
Clinical data of 31 patients in whom infection occurred before and after LLL
Onset process
Infection → LLL
LLL → Infection
n = 20
n = 11
Onset periods*
  < 1 year
9
8
  ≥ 1 to <2 years
4
1
  ≥ 2 years
7
2
Type of infection
 Cellulitis
9
7
 Lymphocyst infection
11
4
*Periods diagnosed with LLL after infection or diagnosed with infection after LLL
LLL = lower limb lymphedema
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 [38]. 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 [41]. In upper lymphedema, manual (simple) lymph drainage had a preventive effect [42], 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 [43]. 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 [44]. 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, 4547]; 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 [4851]. 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.

Conclusion

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.

Acknowledgements

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.

Funding

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]).
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.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
2.
Zurück zum Zitat 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 404CrossRef 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 404CrossRef
3.
Zurück zum Zitat 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.CrossRef 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.CrossRef
4.
Zurück zum Zitat 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.CrossRef 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.CrossRef
5.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
6.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
8.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
10.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
11.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
13.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
14.
Zurück zum Zitat 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.PubMed 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.PubMed
15.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
16.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
17.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
18.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
19.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
20.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
22.
Zurück zum Zitat 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. 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.
23.
Zurück zum Zitat Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013;48:452–8.CrossRefPubMed Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013;48:452–8.CrossRefPubMed
24.
Zurück zum Zitat Ridner SH, Dietrich MS, Stewart BR, Armer JM. Body mass index and breast cancer treatment-related lymphedema. Support Care Cancer. 2011;19:853–7.CrossRefPubMedPubMedCentral Ridner SH, Dietrich MS, Stewart BR, Armer JM. Body mass index and breast cancer treatment-related lymphedema. Support Care Cancer. 2011;19:853–7.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
26.
Zurück zum Zitat Greene AK, Grant FD, Slavin SA. Lower-extremity lymphedema and elevated body-mass index. N Engl J Med. 2012;366:2136–7.CrossRefPubMed Greene AK, Grant FD, Slavin SA. Lower-extremity lymphedema and elevated body-mass index. N Engl J Med. 2012;366:2136–7.CrossRefPubMed
27.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
28.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
29.
Zurück zum Zitat McTiernan A, Irwin M, Vongruenigen V. Weight, physical activity, diet, and prognosis in breast and gynecologic cancers. J Clin Oncol. 2010;28:4074–80.CrossRefPubMedPubMedCentral McTiernan A, Irwin M, Vongruenigen V. Weight, physical activity, diet, and prognosis in breast and gynecologic cancers. J Clin Oncol. 2010;28:4074–80.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
31.
Zurück zum Zitat Hoffman MS, Parsons M, Gunasekaran S, Cavanagh D. Distal external iliac lymph nodes in early cervical cancer. Obstet Gynecol. 1999;94:391–4.PubMed Hoffman MS, Parsons M, Gunasekaran S, Cavanagh D. Distal external iliac lymph nodes in early cervical cancer. Obstet Gynecol. 1999;94:391–4.PubMed
32.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
33.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
34.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
35.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
36.
Zurück zum Zitat 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.PubMed 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.PubMed
37.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
38.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
39.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
40.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
41.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
42.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
43.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
44.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
45.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
46.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
47.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
48.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
49.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
50.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
51.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
Metadaten
Titel
Risk factors and a prediction model for lower limb lymphedema following lymphadenectomy in gynecologic cancer: a hospital-based retrospective cohort study
verfasst von
Kenji Kuroda
Yasuhiro Yamamoto
Manami Yanagisawa
Akira Kawata
Naoya Akiba
Kensuke Suzuki
Kazutoshi Naritaka
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Women's Health / Ausgabe 1/2017
Elektronische ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-017-0403-1

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