Literature DB >> 29027396

Comparison of three different risk-stratification models for predicting lymph node involvement in endometrioid endometrial cancer clinically confined to the uterus.

Vakkas Korkmaz1, Mehmet Mutlu Meydanli1, Ibrahim Yalçın1, Mustafa Erkan Sarı2, Hanifi Sahin1, Eda Kocaman3, Ali Haberal3, Polat Dursun3, Tayfun Güngör1, Ali Ayhan3.   

Abstract

OBJECTIVE: To compare the clinical validity of the Gynecologic Oncology Group-99 (GOG-99), the Mayo-modified and the European Society for Medical Oncology (ESMO)-modified criteria for predicting lymph node (LN) involvement in women with endometrioid endometrial cancer (EC) clinically confined to the uterus.
METHODS: A total of 625 consecutive women who underwent comprehensive surgical staging for endometrioid EC clinically confined to the uterus were divided into low- and high-risk groups according to the GOG-99, the Mayo-modified, and the ESMO-modified criteria. Lymphovascular space invasion is the cornerstone of risk stratification according to the ESMO-modified criteria. These 3 risk stratification models were compared in terms of predicting LN positivity.
RESULTS: Systematic LN dissection was achieved in all patients included in the study. LN involvement was detected in 70 (11.2%) patients. LN involvement was correctly estimated in 51 of 70 LN-positive patients according to the GOG-99 criteria (positive likelihood ratio [LR+], 3.3; negative likelihood ratio [LR-], 0.4), 64 of 70 LN-positive patients according to the ESMO-modified criteria (LR+, 2.5; LR-, 0.13) and 69 of the 70 LN-positive patients according to the Mayo-modified criteria (LR+, 2.2; LR-, 0.03). The area under curve of the Mayo-modified, the GOG-99 and the ESMO-modified criteria was 0.763, 0.753, and 0.780, respectively.
CONCLUSION: The ESMO-modified classification seems to be the risk-stratification model that most accurately predicts LN involvement in endometrioid EC clinically confined to the uterus. However, the Mayo-modified classification may be an alternative model to achieve a precise balance between the desire to prevent over-treatment and the ability to diagnose LN involvement.
Copyright © 2017. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology

Entities:  

Keywords:  Carcinoma, Endometrioid; Endometrial Neoplasms; Lymph Node; Metastasis

Mesh:

Year:  2017        PMID: 29027396      PMCID: PMC5641528          DOI: 10.3802/jgo.2017.28.e78

Source DB:  PubMed          Journal:  J Gynecol Oncol        ISSN: 2005-0380            Impact factor:   4.401


INTRODUCTION

There is no standard protocol for the assessment of lymph node (LN) involvement in endometrial cancer (EC) [1] although the 2009 International Federation of Obstetricians and Gynecologists (FIGO) staging system is based on the surgical findings including pelvic and para-aortic LN metastases [2]. Performing lymphadenectomy only for patients at high-risk of extra-uterine disease with the aim of preventing over- and under-treatment is an important issue in the surgical management of EC [3]. Mayo Clinic (Rochester, MN, USA) initiated a paradigm for surgical management of EC in 2004. According to this paradigm (widely known as “Mayo algorithm”), lymphadenectomy has been reported to be no longer deemed necessary for the subset of EC patients with low-risk features [3]. These low-risk features have been defined as; “endometrioid type EC, FIGO grade 1 or 2 histology, myometrial invasion (MMI) ≤50%, and primary tumor diameter (PTD) ≤2 cm” [3]. By contrast, all other patients have been defined as high-risk and introduced as candidates for systematic lymphadenectomy up to the renal veins [4]. Although the rate of LN involvement is approximately 15% in endometrioid EC [5], 75% of women with EC require systematic LN dissection (LND) when the Mayo criteria are used [3]. Lefringhouse et al. [6] have recently reported that the Mayo algorithm performed well at identifying EC at high-risk of extra-uterine disease; however, by recommending lymphadenectomy for over two-thirds of their study population. Given that most ECs are categorized as high-risk by the Mayo criteria, Vargas et al. [7] suggested that low-risk group be expanded to include; 1) grade 1 endometrioid tumors with <50% MMI regardless of PTD, 2) grade 2 tumors with tumor size <3 cm, and 3) grade 3 tumors with no MMI. The Mayo criteria modified by Vargas et al. [7] have been reported to have a positive LN rate of 2.3%, 2%, and 0% for grade 1, 2, and 3 tumors, respectively [7]. According to the European Society for Medical Oncology (ESMO) guidelines, the features of low-risk EC have been defined as endometrioid histology, MMI ≤50% and FIGO grade 1 or 2 [8]. The ESMO criteria were modified by Bendifallah et al. [9] who integrated lymphovascular space invasion (LVSI) into the model (ESMO-modified classification) in 2014. Keys et al. [10] have assigned EC patients into risk categories in order to determine the need for adjuvant treatment according to the age of the patients, histologic type, tumor grade, presence of LVSI, and depth of MMI (the Gynecologic Oncology Group-99 [GOG-99] criteria). Although the GOG-99 and ESMO-modified criteria have been introduced to determine the need for adjuvant treatment in EC, we wondered whether these criteria can be used to predict LN metastasis. Given the high rate of patients undergoing LND according to the current Mayo criteria, there seems to be a need for an alternative model that can more accurately identify the patients who do not require lymphadenectomy. Therefore, we designed this retrospective, dual-institutional study in order to compare the clinical validity of the GOG-99, the Mayo-modified, and the ESMO-modified criteria for predicting LN involvement in women with endometrioid EC clinically confined to the uterus.

MATERIALS AND METHODS

1. Study design and eligibility

Medical records of consecutive women who underwent primary surgical treatment for EC between January 2010 and December 2016 at 2 gynecologic oncology centers in Ankara, Turkey were retrospectively reviewed. The study protocol was approved by the Local Institutional Review Boards. All patients provided an informed consent regarding research use of their medical information. The study population included women with endometrioid type EC clinically confined to the uterus who underwent comprehensive surgical staging according to the current Mayo criteria depending on intraoperative frozen section analysis. Women with non-endometrioid type EC, those with macroscopic extra uterine tumor (defined as any disease that was evident on visual inspection of the pelvic and abdominal cavity), patients with gross cervical involvement and those with incomplete medical records were excluded from the study. We also excluded patients with less than 15 LNs in the final pathology report as well as those with synchronous malignancies.

2. Clinical information

Patient data were extracted from 2 institutions with maintained EC databases. With the eligible cases, demographic characteristics were abstracted from medical records. Tumor characteristics were abstracted from original pathology reports, and the following data were recorded: PTD (as a continuous variable or dichotomous [<2 cm or ≥2 cm] and [<3 cm or ≥3 cm]), depth of MMI ([<50% or ≥50%] and [≤66% or >66%]), presence of LVSI, and the status of peritoneal cytology examination (negative, positive, or not performed). Surgical staging consisted of total hysterectomy, bilateral salpingo-oopherectomy (based on the age of the patient), pelvic and para-aortic lymphadenectomy, and peritoneal washings. All operations were performed by gynecologic oncologists. Data on the extent of surgery included number of total LNs harvested, number of pelvic LNs removed, and number of para-aortic LNs removed. All surgical specimens were examined and interpreted by gynecologic pathologists. Architectural grading was defined by standard FIGO criteria. Tumor size was macroscopically measured on fresh tissue by gynecologic pathologists who noted size in 3 largest dimensions. The largest of 3 dimensions of the tumor was defined as PTD [3]. LVSI was defined as the presence of adenocarcinoma of any extent, in endothelium lined channels of uterine specimens extracted at the time of surgery [10]. All tumors were staged according to the FIGO staging system [2].

3. Definitions

Lymphadenectomy was defined as the performance of pelvic and para-aortic LND at the same time. We defined pelvic lymphadenectomy as removal of the lymphatic tissue in the external, internal and common iliac and obturator regions. Para-aortic lymphadenectomy was defined as removal of the lymphatic tissue over the inferior vena cava and aorta beginning at the level of aortic bifurcation up to the left renal vessels. A systematic LND was arbitrarily defined as removal of more than 20 nodes [11]. An adequate pelvic lymphadenectomy was defined as the removal of at least 10 pelvic LNs, and an adequate para-aortic lymphadenectomy was defined as the removal of at least 5 para-aortic LNs [312]. All included patients were divided into low- and high-risk groups according to the GOG-99 [10], the Mayo-modified [7], and the ESMO-modified [9] criteria (Table 1). LVSI is the cornerstone of risk stratification according to the ESMO-modified criteria. Regardless of MMI, the ESMO-modified criteria define all FIGO grade 1 or 2 endometrioid type tumors as high-risk if LVSI is positive. These 3 risk stratification models were compared in terms of predicting LN positivity based on the final pathology reports of the patients.
Table 1

Description of the risk-stratification models

CriteriaLow-riskHigh-risk
Mayo criteria• Grade 1 or 2, MMI ≤50%, and PTD ≤2 cm• Grade 1 or 2, MMI ≤50%, and PTD >2 cm
• No MMI (independent of grade and PTD)• Grade 3
• MMI ≥50%, any grade or PTD
Mayo-modified criteria• Grade 1 or 2, MMI ≤50%, regardless of PTD• Grade 2, MMI ≤50%, and PTD ≥3 cm
• Grade 2 tumors with PTD <3 cm and MMI ≤50%• Grade 3, MMI ≤50%
• Grade 3 tumors with no MMI• MMI ≥50%, any grade or PTD
GOG-99 criteria• Grade 1 or 2, ECs confined to the endometrium, stage IA• Any age ≥3 pathologic risk factors
• Age ≤50 years + ≤2 pathologic risk factors• Age 50–69 years + ≥2 pathologic risk factors
• Age 50–69 years + ≤1 pathologic risk factor• Age ≥70 years + ≥1 pathologic risk factor
• Age ≥70 years + no pathologic risk factors• Risk factors: 1) grade 2 or 3 histology; 2) positive LVSI; and 3) MMI to outer 1/3
• Risk factors: 1) grade 2 or 3 histology; 2) positive LVSI; and 3) MMI to outer 1/3
ESMO-modified criteria• Stage IA (grades 1 and 2) with endometrioid type, LVSI negative• Stage IA, grade 3 (regardless of LVSI)
• Stage IB (grades 1 and 2) with endometrioid type, LVSI negative• Stage I, grade 1 or 2, LVSI positive (regardless of MMI)
• Stage IB, grade 3 with endometrioid type (regardless of LVSI)

EC, endometrial cancer; ESMO, European Society for Medical Oncology; GOG-99, Gynecologic Oncology Group-99; LVSI, lymphovascular space invasion; MMI, myometrial invasion; PTD, primary tumor diameter.

EC, endometrial cancer; ESMO, European Society for Medical Oncology; GOG-99, Gynecologic Oncology Group-99; LVSI, lymphovascular space invasion; MMI, myometrial invasion; PTD, primary tumor diameter.

4. Statistical analysis

Statistical analyses were performed using Statistics Package for the Social Sciences (SPSS) software (version 17; SPSS Inc., Chicago, IL, USA). The distribution of the data was analyzed using normality tests. When the data were not normally distributed, the Mann-Whitney U test was used for the comparison of 2 groups. The χ2 and Fisher exact test were used for the comparison of categorical variables. The predictive accuracy of each risk-stratification model was assessed according to its discrimination (i.e., ability of the model to differentiate patients with LN metastases from those without). Discrimination was measured using the receiver operating characteristics (ROC) curve and summarized by the area under the curve (AUC). The AUC requires binary outcomes (presence or absence of the event). The AUC of 0.5 represents no discriminating ability, and a value of 1.0 represents perfect accuracy [9]. The diagnostic performance of 3 risk scoring systems was expressed as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and positive likelihood ratio (LR+) and negative likelihood ratio (LR−), and was stratified according to the level of diagnostic confidence and reported according to the Standards for Reporting of Diagnostic Accuracy [13]. A p-value <0.05 was considered to indicate statistical significance.

RESULTS

Six hundred and twenty-five women of surgically-staged endometrioid type EC were identified according to the inclusion criteria. The median age of patients was 58 (range, 27–87) and the median tumor diameter was 3.5 cm (range, 0.1–9.5). While 14 (2.2%) patients had a tumor limited to the endometrium, 394 (63%) had <50% MMI and 217 (34.8%) had ≥50% MMI. However, there were 134 (21.4%) women with MMI >66%. Three hundred fifty-three patients (56.5%) had grade 1 tumor, 184 (29.4%) had grade 2 tumor and 88 (14.1%) had grade 3 tumor. Presence of LVSI was identified in 162 (25.9%) patients. Table 2 demonstrates the LVSI status of the patients based on the stage of the disease. Positive peritoneal cytology was present in 27 (4.3%) patients. LN involvement was detected in 70 (11.2%) patients with a systematic LND rate of 100%. The comparison of women with and without LN involvement is presented in Table 3.
Table 2

The LVSI status of the patients based on the stage of the disease

StagesLVSI positive (%)LVSI negative (%)Total
Stage IA25 (7.0)332 (93.0)357
Stage IB46 (35.6)83 (64.4)129
Stage II16 (34.8)30 (65.2)46
Stage IIIA10 (58.8)7 (41.2)17
Stage IIIC65 (85.5)11 (14.5)76
Total162463625

LVSI, lymphovascular space invasion.

Table 3

The comparison of women with and without LN involvement with endometrioid EC clinically confined to the uterus

CharacteristicsLN negative (n=555)LN positive (n=70)p
Age (yr)58 (28–87)59 (27–85)NS
PTD (cm)3.5 (0.1–8.5)5 (1–9.5)<0.001
Baseline serum CA 125 level (U/mL)15 (3–1,100)30.8 (6–334)<0.001
LNs removedNS
Pelvic33 (15–110)32 (15–64)
Para-aortic12 (5–58)13 (5–55)
Total45 (20–151)49 (20–104)
Tumor limited to the endometrium14 (2.5)0<0.001
MMI<0.001
<50%376 (67.8)18 (25.7)
≥50%165 (29.7)52 (74.3)
Grade<0.001
1334 (60.2)19 (27.1)
2157 (28.3)27 (38.6)
364 (11.5)24 (34.3)
LVSI positivity108 (19.5)54 (77.1)<0.001
Positive peritoneal cytology16 (2.9)11 (15.7)<0.001

Values are presented as median (range) or number (%).

CA 125, cancer antigen 125; EC, endometrial cancer; LN, lymph node; LVSI, lymphovascular space invasion; MMI, myometrial invasion; NS, not significant; PTD, primary tumor diameter.

LVSI, lymphovascular space invasion. Values are presented as median (range) or number (%). CA 125, cancer antigen 125; EC, endometrial cancer; LN, lymph node; LVSI, lymphovascular space invasion; MMI, myometrial invasion; NS, not significant; PTD, primary tumor diameter. According to the GOG-99 criteria [10], 451 (72.2%) women were classified as low-risk whereas 174 (27.8%) were categorized as high-risk. LN involvement was correctly estimated in 51 of 70 LN-positive patients according to the GOG-99 criteria (sensitivity 72.9%, specificity 77.8%, NPV 95.8%, and PPV 29.3%). When women were classified as low-risk (n=361) and high-risk (n=264) according to the ESMO-modified criteria [9], 64 of 70 LN-positive patients were found to be in the high-risk group (sensitivity 91.4%, specificity 63.9%, NPV 98.3%, and PPV 24.2%). The Mayo-modified criteria [7] identified 303 (48.5%) women as low-risk and 322 (51.5%) women as high-risk. Sixty-nine of the 70 LN-positive patients were found to be classified in the high-risk group when the Mayo-modified criteria were used (sensitivity 98.6%, specificity 54.4%, NPV 99.7%, and PPV 21.4%). The only node positive patient not detected by the Mayo-modified criteria had FIGO grade 2 tumor with MMI <50% and a PTD of 2.5 cm. However, this patient had LVSI. The comparison of the Mayo-modified, GOG-99 and the ESMO-modified criteria in terms of detecting LN involvement is shown in Table 4.
Table 4

The comparison of the Mayo-modified, the ESMO-modified, and the GOG-99 criteria in terms of predicting LN involvement in endometrioid EC clinically confined to the uterus

CharacteristicsMayo-modifiedESMO-modifiedGOG-99
Sensitivity (%)98.6 (92.3–99.9)91.4 (82.3–96.8)72.9 (60.9–82.8)
Specificity (%)54.4 (50.2–58.6)63.9 (59.8–67.9)77.8 (74.2–81.2)
NPV (%)99.7 (97.7–99.9)98.3 (96.5–99.2)95.8 (93.9–97.1)
PPV (%)21.4 (19.9–23.1)24.2 (21.9–26.8)29.3 (25.1–33.9)
LR+2.2 (1.9–2.4)2.5 (2.2–2.9)3.3 (2.7–4.1)
LR−0.03 (0.00–0.18)0.13 (0.10–0.30)0.40 (0.20–0.50)

Values are presented as number (95% CI).

EC, endometrial cancer; ESMO, European Society for Medical Oncology; GOG-99, Gynecologic Oncology Group-99; LN, lymph node; LR+, positive likelihood ratio; LR−, negative likelihood ratio; NPV, negative predictive value; PPV, positive predictive value.

Values are presented as number (95% CI). EC, endometrial cancer; ESMO, European Society for Medical Oncology; GOG-99, Gynecologic Oncology Group-99; LN, lymph node; LR+, positive likelihood ratio; LR−, negative likelihood ratio; NPV, negative predictive value; PPV, positive predictive value. When the ROC analysis of the GOG-99, the Mayo-modified, and the ESMO-modified criteria was performed in order to predict LN metastasis, the AUC was 0.753, 0.763, and 0.780, respectively (p<0.001, Fig. 1).
Fig. 1

The predictive values of the Mayo-modified, the GOG-99, and the ESMO-modified criteria for LN involvement in EC clinically confined to the uterus.

EC, endometrial cancer; ESMO, European Society for Medical Oncology; GOG-99, Gynecologic Oncology Group-99; LN, lymph node.

The predictive values of the Mayo-modified, the GOG-99, and the ESMO-modified criteria for LN involvement in EC clinically confined to the uterus. EC, endometrial cancer; ESMO, European Society for Medical Oncology; GOG-99, Gynecologic Oncology Group-99; LN, lymph node.

DISCUSSION

To the best of our knowledge, this is the first study comparing the GOG-99, the Mayo-modified, and the ESMO-modified criteria in terms of predicting LN involvement in endometrioid EC clinically confined to the uterus. We found out that LN involvement in women with endometrioid EC clinically confined to the uterus was most accurately predicted by the ESMO-modified criteria based on the ROC analysis. However, we should underline some limitations of the current study. First, the retrospective nature of the study cannot exclude any bias. Second, lack of central pathology review seems to be an important limitation. Third, lack of ultrastaging might have been an important issue for underestimating the rate of nodal metastasis in low-risk patients since the rate of nodal involvement increases in this subgroup of patients when ultrastaging is used. Finally, the nature of dual-instutional experience may be interpreted as a limitation. The most controversial management issue relates to the requirement for, and the extent and therapeutic value of, lymphadenectomy [14]. In order to minimize under-treatment and achieve optimal oncologic outcomes, patients who will derive potential therapeutic value from lymphadenectomy should be identified. On the contrary, patients who will not benefit from lymphadenectomy must be identified in order to minimize over-treatment and prevent lymphadenectomy-associated serious morbidities such as intraoperative bleeding, deep vein thrombosis, lymphocyst formation, lymphedema of lower extremities, and chylous ascites [15]. Since over-treatment is an important issue in the surgical management of endometrioid EC currently [5], a precise balance must be obtained between the desire to prevent over-treatment and the ability to diagnose LN involvement. However, most of the patients with endometrioid EC fall into the high-risk category and undergo systematic LND when the universally accepted Mayo-criteria are used. Although the Mayo algorithm has been reported to identify a 98.2% NPV for women who would not benefit from a lymphadenectomy [16] and correctly estimates patients who are at low-risk for LN metastasis, Vargas et al. [7] reported that only 21% of patients were classified as low-risk when the Mayo criteria were used. Lefringhouse et al. [6] have recently reported that the low-risk group should be expanded to achieve a better clinical balance of surgical risk and treatment outcomes as two-thirds of early ECs are classified as high-risk by the current Mayo algorithm. The distinctive feature of the Mayo criteria is that it strictly takes PTD into account. For example, a woman with FIGO grade 1 endometrioid EC having ≤50% MMI needs to undergo systematic lymphadenectomy if her PTD is 2.5 cm. Systematic lymphadenectomy becomes indicated at the expense of potential serious morbidities for such a clinical scenario in which PTD exceeds 2 cm, and presents as the sole low-risk feature missing. However, the ESMO-modified criteria do not take PTD into account while classifying patients into low-risk and high-risk groups. Instead, it integrates LVSI into the model. Currently, LVSI is considered a prerequisite for tumor dissemination to the lymphatic system [17]. There seems to be a correlation between LVSI positivity and depth of MMI. Alexander-Sefre et al. [18] found an association between stage and LVSI incidence: LVSI as detected by hematoxylin and eosin staining was not detected in any patients with stage IA disease but found in 12% and 50% of patients with stages IB and IC disease, respectively. Additionally, dos Reis et al. [17] found that patients with LVSI were more likely to have MMI. A combination of deep MMI and LVSI proved to be superior to LVSI alone in the prediction of pelvic LN metastasis [19]. However, Guntupalli et al. [20] analyzed 757 patients with endometrioid EC stages IA to IVB, and found that LVSI was highly predictive of nodal disease. The authors reported that the absence of LVSI had a NPV of 95% and could therefore be considered as a marker to stratify patients according to the risk of nodal disease [20]. Moreover, the incidence of occult LN metastasis was reported to be 3.6% in a cohort of 438 women with EC and the NPV of LVSI for LN metastasis was found to be 96.4% [21]. Unfortunately, there is currently no surrogate marker of LVSI in a pre- or intra-operative setting. LVSI status is most commonly not available until after hysterectomy, at the time of preparation of the final pathology report. LVSI is very difficult to assess during intraoperative frozen section analysis, and it is often reported only at the final pathology report [20]. Assessment of LVSI is subject to inter-observer variation. Stromal retraction, displacement of tumor cells into vascular channels and coexistent inflammation may all add to difficulty in interpretation [22]. However, it has recently been reported that LVSI may be determined by intraoperative frozen section analysis with 50% sensitivity, 100% specificity, 94.4% of NPV, and 100% of PPV [23]. Based on these data, LVSI may be suggested as a routine pathological parameter to be studied during frozen-section analysis for women undergoing surgery for endometrioid EC in order to decrease the number of patients unnecessarily undergoing LND. On the other hand, absence of LVSI can be used as a reliable tool for determining patients who do not require para-aortic LND. Kumar et al. [24] reported that surgeons might potentially forgo para-aortic LND in the majority of patients with endometrioid type EC in order to reduce surgical morbidity. The authors emphasized that this cohort can be identified by a combined absence of positive pelvic LNs, >50% MMI, and LVSI [24]. Vaizoglu et al. [25] demonstrated that LVSI should be considered as a valuable pathological parameter for the surgical management of patients with EC. They reported that the incidence of LN metastasis in the para-aortic area was 0.5% among patients without LVSI. A recent study by Sari et al. [26] demonstrated that the rate of para-aortic LN metastasis in patients without LVSI was only 0.8% in a cohort of 641 EC patients that underwent comprehensive surgical staging. In the light of these previous studies and the current one, we think that the combination of absence of LVSI and deep MMI (when safely shown during intraoperative frozen section analysis) may be a reliable tool for determining patients for whom systematic lymphadenectomy can be omitted. We suggest that for prediction LN involvement in endometrioid EC clinically confined to the uterus, one should focus on the trio of tumor grade, depth of MMI and LVSI instead of taking PTD strictly into account. There are a considerable number of risk scoring systems defined in the literature for predicting recurrence, selecting patients for lymphadenectomy, and identifying indications for adjuvant therapy [378910]. However, the number of studies comparing these risks scoring systems is very limited. Bendifallah et al. [27] have compared Postoperative Radiation Therapy in Endometrial Carcinoma-1 (PORTEC-1) [28], GOG-99 [10], Survival Effect of Para-Aortic Lymphadenectomy (SEPAL) [29], ESMO [8], and ESMO-modified [7] criteria and found out that the ESMO-modified classification is the system that most accurately predicts recurrence risk or LN metastasis. A recent study conducted by Tuomi et al. [30] comparing the Mayo, Helsinki and Milwaukee models for predicting lymphatic dissemination in EC has shown that all 3 models had similar accuracy for detecting LN positivity. In parallel with the results of Bendifallah et al. [27], the present study has also found out that the ESMO-modified classification is the risk-stratification model that most accurately predicts LN involvement in endometrioid EC clinically confined to the uterus. In the present study, stage IA cases with tumor size >2 cm and grade 1 tumor were included in the low-risk group. Two hundred and sixty-six (46% of our study population) women were found to have the above-mentioned criteria and none of these women had LN involvement. The rate of LN involvement has been reported to be 1.46% (28/1,914) in this subgroup of patients in a Surveillance, Epidemiology, and End Results (SEER) data analysis [31]. In our previous study, LN involvement was not detected in any of the patients (n=120) with stage IA endometrioid type EC having FIGO grade 1 tumor and a PTD >2 cm [32]. Vargas et al. [7] reported the same figure as 1.62% in another SEER data analysis including 3,816 patients. Our finding of 0% rate of LN involvement in this subgroup of patients in the current study may be attributed to the limited number of patients (n=266) compared with those of Mahdi et al. [31] and Vargas et al. [7]. Vargas et al. [7] reported that LN involvement remained below 2% until PTD exceeded 4 cm in this subgroup of patients. Even in tumors greater than 5 cm in size, the rate LN involvement remained below 3%. Given these findings, the authors have concluded that it may be reasonable to defer LND in all grade 1 tumors with less than 50% MMI, irrespective of tumor size [7]. The strengths of the current study lie in the large number of patients with similar demographic characteristics, performance of uniform staging procedures with the same qualified gynecologic oncologists, and a 100% rate of systematic LND. Our study is one of the largest retrospective cohorts associated with the prediction of LN metastasis in women with endometrioid EC clinically confined to the uterus. In conclusion, the ESMO-modified classification seems to be the risk-stratification model that most accurately predicts LN involvement in endometrioid EC clinically confined to the uterus. When compared with the current Mayo criteria, the ESMO-modified risk stratification model prevents 57% of patients from unnecessary lymphadenectomy at the expense of missing 8.6% of node positive patients. Given the high rate of patients undergoing LND according to the current Mayo criteria, there seems to be a need for an alternative model which safely expands the low-risk group to achieve a precise balance between the desire to prevent over-treatment and the ability to diagnose LN involvement.
  32 in total

1.  Analysis of clinicopathologic factors predicting para-aortic lymph node metastasis in endometrial cancer.

Authors:  H Nomura; D Aoki; N Suzuki; N Susumu; A Suzuki; Y Tamada; F Kataoka; A Higashiguchi; S Ezawa; S Nozawa
Journal:  Int J Gynecol Cancer       Date:  2006 Mar-Apr       Impact factor: 3.437

2.  Lymphovascular Space Invasion Portends Poor Prognosis in Low-Risk Endometrial Cancer.

Authors:  Ricardo dos Reis; Jennifer K Burzawa; Audrey T Tsunoda; Masayoshi Hosaka; Michael Frumovitz; Shannon N Westin; Mark F Munsell; Pedro T Ramirez
Journal:  Int J Gynecol Cancer       Date:  2015-09       Impact factor: 3.437

3.  Retrospective review of an intraoperative algorithm to predict lymph node metastasis in low-grade endometrial adenocarcinoma.

Authors:  Patricia A Convery; Leigh A Cantrell; Nicola Di Santo; Gloria Broadwater; Susan C Modesitt; Angeles Alvarez Secord; Laura J Havrilesky
Journal:  Gynecol Oncol       Date:  2011-07-13       Impact factor: 5.482

4.  Clinicopathological risk factors for pelvic lymph node metastasis in clinical early-stage endometrioid endometrial adenocarcinoma.

Authors:  Chuyao Zhang; Chao Wang; Weiwei Feng
Journal:  Int J Gynecol Cancer       Date:  2012-10       Impact factor: 3.437

5.  Lymph Node Metastasis in Patients With Endometrioid Endometrial Cancer: Overtreatment Is the Main Issue.

Authors:  Alper Karalok; Taner Turan; Derman Basaran; Osman Turkmen; Gunsu Comert Kimyon; Gokhan Tulunay; Tolga Tasci
Journal:  Int J Gynecol Cancer       Date:  2017-05       Impact factor: 3.437

6.  High-risk endometrial cancer subgroups: candidates for target-based adjuvant therapy.

Authors:  Andrea Mariani; Sean C Dowdy; Gary L Keeney; Harry J Long; Timothy G Lesnick; Karl C Podratz
Journal:  Gynecol Oncol       Date:  2004-10       Impact factor: 5.482

7.  Tumor size, depth of invasion, and histologic grade as prognostic factors of lymph node involvement in endometrial cancer: a SEER analysis.

Authors:  Roberto Vargas; J Alejandro Rauh-Hain; Joel Clemmer; Rachel M Clark; Annekathryn Goodman; Whitfield B Growdon; John O Schorge; Marcela G Del Carmen; Neil S Horowitz; David M Boruta
Journal:  Gynecol Oncol       Date:  2014-02-16       Impact factor: 5.482

8.  Lymphovascular space invasion is highly associated with lymph node metastasis and recurrence in endometrial cancer.

Authors:  Ho-Suap Hahn; In-Ho Lee; Tae-Jin Kim; Ki-Heon Lee; Jae-Uk Shim; Jae-Wook Kim; Kyung-Taek Lim
Journal:  Aust N Z J Obstet Gynaecol       Date:  2013-04-22       Impact factor: 2.100

9.  Clinical value of immunohistochemically detected lymphatic and vascular invasions in clinically staged endometrioid endometrial cancer.

Authors:  Farhad Alexander-Sefre; Robert Nibbs; Teresa Rafferty; Ayse Ayhan; Naveena Singh; Ian Jacobs
Journal:  Int J Gynecol Cancer       Date:  2009-08       Impact factor: 3.437

10.  Efficacy of systematic pelvic lymphadenectomy in endometrial cancer (MRC ASTEC trial): a randomised study.

Authors:  H Kitchener; A M C Swart; Q Qian; C Amos; M K B Parmar
Journal:  Lancet       Date:  2008-12-16       Impact factor: 79.321

View more
  10 in total

1.  Radiomics Nomogram in Assisting Lymphadenectomy Decisions by Predicting Lymph Node Metastasis in Early-Stage Endometrial Cancer.

Authors:  Xue-Fei Liu; Bi-Cong Yan; Ying Li; Feng-Hua Ma; Jin-Wei Qiang
Journal:  Front Oncol       Date:  2022-05-31       Impact factor: 5.738

2.  Pre-surgical staging in endometrial cancer: An opportunity for risk stratification and triage?

Authors:  Tony Jose; Amarinder Singh; Shakti Vardhan
Journal:  Med J Armed Forces India       Date:  2020-12-14

3.  Identification of Potential Crucial Genes Associated With the Pathogenesis and Prognosis of Endometrial Cancer.

Authors:  Li Liu; Jiajing Lin; Hongying He
Journal:  Front Genet       Date:  2019-04-26       Impact factor: 4.599

4.  Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer.

Authors:  Xiaojuan Xu; Hailin Li; Siwen Wang; Mengjie Fang; Lianzhen Zhong; Wenwen Fan; Di Dong; Jie Tian; Xinming Zhao
Journal:  Front Oncol       Date:  2019-10-09       Impact factor: 6.244

5.  Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer.

Authors:  Kristine E Fasmer; Ankush Gulati; Julie A Dybvik; Sigmund Ytre-Hauge; Øyvind Salvesen; Jone Trovik; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Eur Radiol       Date:  2020-02-07       Impact factor: 5.315

6.  MRI-Based Radiomic Model for Preoperative Risk stratification in Stage I Endometrial Cancer.

Authors:  Jingya Chen; Hailei Gu; Weimin Fan; Yaohui Wang; Shuai Chen; Xiao Chen; Zhongqiu Wang
Journal:  J Cancer       Date:  2021-01-01       Impact factor: 4.207

7.  Sentinel lymph node biopsy in high-risk endometrial cancer: performance, outcomes, and future avenues.

Authors:  Yoo-Na Kim; Young Tae Kim
Journal:  Obstet Gynecol Sci       Date:  2022-08-02

8.  Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: An NRG Oncology/Gynecologic Oncology Group Study.

Authors:  Yovanni Casablanca; Guisong Wang; Heather A Lankes; Chunqiao Tian; Nicholas W Bateman; Caela R Miller; Nicole P Chappell; Laura J Havrilesky; Amy Hooks Wallace; Nilsa C Ramirez; David S Miller; Julie Oliver; Dave Mitchell; Tracy Litzi; Brian E Blanton; William J Lowery; John I Risinger; Chad A Hamilton; Neil T Phippen; Thomas P Conrads; David Mutch; Katherine Moxley; Roger B Lee; Floor Backes; Michael J Birrer; Kathleen M Darcy; George Larry Maxwell
Journal:  Cancers (Basel)       Date:  2022-08-23       Impact factor: 6.575

9.  Prediction of lymphovascular space invasion in patients with endometrial cancer.

Authors:  Sang Il Kim; Joo Hee Yoon; Sung Jong Lee; Min Jong Song; Jin Hwi Kim; Hae Nam Lee; Gyul Jung; Ji Geun Yoo
Journal:  Int J Med Sci       Date:  2021-06-01       Impact factor: 3.738

10.  Comparing prediction models for lymph node metastasis risk in endometrial cancer: the winner may not take it all.

Authors:  Sokbom Kang
Journal:  J Gynecol Oncol       Date:  2017-11       Impact factor: 4.401

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.