Sentinel lymph node mapping in high-risk endometrial cancer: a systematic review and meta-analysis

Abstract

Background

In the staging of endometrial cancer (EC), the role of sentinel lymph node (SLN) mapping for high-risk EC is still unclear.

Methods

Two authors independently reviewed abstracts and full-text articles for inclusion and assessed study quality. English studies published in PubMed, Embase, and Cochrane Library before 20th SEP, 2019 were retrieved to perform a systematic evaluation and meta-analysis which evaluate the detection rate and diagnostic accuracy of SLN mapping in high-risk EC. Statistical analysis was conducted using stata14.0 software.

Results

A total of 12 studies were included, including 758 high-risk EC patients. The detection rate of SLN mapping was 84.8% (95% CI, 79.9–89.6%). The pooled bilateral detection rate was 67.0% (95% CI, 56.8–77.3%). The pooled para-aortic detection rate was 8.4% (95% CI, 1.8–14.9%). The pooled sensitivity was 87% (95% CI, 79–92%), and the pooled specificity was 98% (95% CI, 96–99%). Pooled negative predictive value (NPV) was 97.7% (95% CI, 96.4–99.1%), AUC =0.99 (95% CI, 0.97–0.099).

Conclusions

SLN mapping still has a high detection rate and diagnostic accuracy in high-risk EC. SLN mapping is a reliable alternative to systematic lymph node dissection, but its prognostic effect on high-risk EC is yet to be further studied and verified by large sample studies.

Introduction

Endometrial cancer (EC) is one of the three major malignant tumors of the female reproductive tract. It was performed in the surgery and pathology stage in 1988 and developed for more than 30 years (1). The present staging system includes tumor grade, depth of muscular invasion, local and regional spread, lymph node metastasis, and distant metastasis, which lead to correct guiding significance for further postoperative treatment and prognosis of patients. Lymph node metastasis is the main route of EC metastasis, and lymph node metastasis or not has a significant impact on follow-up treatment and prognosis. If pelvic or abdominal aortic lymph node metastasis, the 5-year survival rate is only 44–52% (2). At present, the status of the lymph nodes has been assessed by systematic lymphadenectomy. However, the problem is that the early endometrial carcinoma metastasis rate is low; systematic lymphadenectomy is more damaging to patients and has the risk of various long-term complications. However, current studies have suggested it did not significantly improve prognosis, and a multicenter randomized controlled trial at ASTEC has suggested that pelvic lymphadenectomy did not significantly improve both tumor-free and overall survival (OS) (3), the benefits of systematic lymphadenectomy were merely an evaluation of lymph node status. Therefore, clinicians need new methods to assess the status of lymph nodes without being so aggressive.

Sentinel lymph nodes (SLNs) was first identified by Cabanas (4) in 1977 as the first site of lymph node metastasis, reflecting the whole state of lymphatic metastasis. A negative SLN means that the remaining lymph nodes are not metastasized, so the SLN identification technology can reduce the trauma of lymph node surgery and reduce the occurrence of long-term complications. It is now used to treat breast cancer and melanoma. According to the risk of lymph node metastasis, it can be divided into low-risk and high-risk EC. At present, there is no unified standard for EC risk classification. The most commonly used method is “Mayo standard”, which defines low-risk endometrial carcinoma as histological grade G1/G2, myometrial invasion depth ≤50%, and tumor diameter ≤2 cm. High-risk EC includes risk factors, including G3, deep muscular infiltration, and special pathological types. According to the report, the rate of pelvic lymph node metastasis in low-risk EC was about 1.4–3%, while in high-risk EC, it was about 6.4–23% (5). The National Comprehensive Cancer Network (NCCN) guidelines have approved sentinel node localization as a staging technique for EC, as grade 2B evidence. Prospective and retrospective clinical studies have shown that sentinel lymph node mapping (SLNM) combined with pathologic ultra-staging has satisfactory detection rate, sensitivity and negative predictive value (NPV) of SLN in patients with early low-risk endometrial carcinoma, and does not affect progression free survival (PFS) and OS. However, the effect of SLN mapping in high-risk EC patients remains unclear. In the earlier version, NCCN guidelines suggested SLN mapping should be cautious for high-risk EC patients. In the latest version, it is believed that SLN mapping may also have a better effect in high-risk EC (6). However, the existing evidence is mostly retrospective studies, with few patients included in individual studies, and some studies hold different views (7). Therefore, it is necessary to evaluate existing evidence systematically. Different from the previous meta-analysis which did not clearly distinguish the risk types of patients, this study aims to include the study evaluating the diagnostic value of SLN mapping in high-risk EC. The main aim is to analyze the detection rate, bilateral detection rate, sensitivity, and specificity of SLN mapping in high-risk EC, to provide a clinical reference.

We present the following article in accordance with the PRISMA reporting checklist (available at http://dx.doi.org/10.21037/gs-20-807).

Methods

Retrieval strategy

PubMed, Embase, and Cochrane Library were searched. The last search was conducted on September 20, 2019. Search keywords: “Sentinel lymph node” and “endometrial cancer”. The specific retrieval scheme is shown in Table 1.

Table 1. Literature retrieval strategy.

Medline	Embase	Cochrane library
Search ((((((((((((((((((((((((Endometrial Neoplasm[Title/Abstract]) OR Neoplasm, Endometrial[Title/Abstract]) OR Neoplasms, Endometrial[Title/Abstract]) OR Endometrial Carcinoma[Title/Abstract]) OR Carcinoma, Endometrial[Title/Abstract]) OR Carcinomas, Endometrial[Title/Abstract]) OR Endometrial Carcinomas[Title/Abstract]) OR Endometrial Cancer[Title/Abstract]) OR Cancer, Endometrial[Title/Abstract]) OR Cancers, Endometrial[Title/Abstract]) OR Endometrial Cancers[Title/Abstract]) OR Endometrium Cancer[Title/Abstract]) OR Cancer, Endometrium[Title/Abstract]) OR Cancers, Endometrium[Title/Abstract]) OR Cancer of the Endometrium[Title/Abstract]) OR Carcinoma of Endometrium[Title/Abstract]) OR Endometrium Carcinoma[Title/Abstract]) OR Endometrium Carcinomas[Title/Abstract]) OR Cancer of Endometrium[Title/Abstract]) OR Endometrium Cancers[Title/Abstract])) OR "Endometrial Neoplasms"[Mesh])) AND ((((Lymph Node Biopsy, Sentinel[Title/Abstract]) OR Biopsy, Sentinel Lymph Node[Title/Abstract])) OR "Sentinel Lymph Node Biopsy"[Mesh])) AND ((sensitiv*[Title/Abstract] OR sensitivity and specificity[MeSH Terms] OR (predictive[Title/Abstract] AND value*[Title/Abstract]) OR predictive value of tests[MeSH Term] OR accuracy*[Title/Abstract]))	#28. #22 AND #26 AND #27 #27. 'sensitiv':ab,ti OR 'diagnostic accuracy':ab,ti OR 'diagnostic':ab,ti#26. #23 OR #24 OR #25 #25. 'biopsy, sentinel lymph node':ab,ti #24. 'lymph node biopsy, sentinel':ab,ti #23. 'sentinel lymph node biopsy'/exp #22. #1 OR #2 OR #3 OR #4 OR #5 OR #6 OR #7 OR #8 OR #9 OR #10 OR #11 OR #12 OR #13 OR #14 OR #15 OR #16 OR #17 OR #18 OR #19 OR #20 OR #21#21. 'endometrium cancers':ti,ab #20. 'cancer of endometrium':ti,ab #19. 'endometrium carcinomas':ti,ab #18. 'endometrium carcinoma':ti,ab #17. 'carcinoma of endometrium':ti,ab #16. 'cancer of the endometrium':ti,ab #15. 'cancers, endometrium':ti,ab #14. 'cancer, endometrium':ti,ab #13. 'endometrium cancer':ti,ab #12. 'endometrial cancers':ti,ab #11. 'cancers, endometrial':ti,ab #10. 'cancer, endometrial':ti,ab #9. 'endometrial cancer':ti,ab #8. 'endometrial carcinomas':ti,ab #7. 'carcinomas, endometrial':ti,ab #6. 'carcinoma, endometrial':ti,ab #5. 'endometrial carcinoma':ti,ab #4. 'neoplasms, endometrial':ti,ab #3. 'neoplasm, endometrial':ti,ab #2. 'endometrial neoplasm':ti,ab #1. 'endometrium tumor'/exp	#1 MeSH descriptor: [Endometrial Neoplasms] explode all trees#2 (Endometrial Neoplasm):ti,ab,kw OR (Neoplasm, Endometrial):ti,ab,kw OR (Neoplasms, Endometrial):ti,ab,kw OR (Endometrial Carcinoma):ti,ab,kw OR (Carcinoma, Endometrial):ti,ab,kw#3 (Carcinomas, Endometrial):ti,ab,kw OR (Endometrial Carcinomas):ti,ab,kw OR (Endometrial Cancer):ti,ab,kw OR (Cancer, Endometrial):ti,ab,kw OR (Cancers, Endometrial):ti,ab,kw#4 (Endometrial Cancers):ti,ab,kw OR (Endometrium Cancer):ti,ab,kw OR (Cancer, Endometrium):ti,ab,kw OR (Cancers, Endometrium):ti,ab,kw OR (Cancer of the Endometrium):ti,ab,kw#5 (Carcinoma of Endometrium):ti,ab,kw OR (Endometrium Carcinoma):ti,ab,kw OR (Endometrium Carcinomas):ti,ab,kw OR (Cancer of Endometrium):ti,ab,kw OR (Endometrium Cancers):ti,ab,kw#6 #1 or #2 or #3 or #4 or #5#7 MeSH descriptor: [Sentinel Lymph Node Biopsy] explode all trees#8 (Lymph Node Biopsy, Sentinel):ti,ab,kw OR (Biopsy, Sentinel Lymph Node):ti,ab,kw#9 #7 or #8#10 #6 and #9

Inclusion and exclusion criteria

According to the established inclusion and exclusion criteria, the two evaluators screened the literature, read the title and abstract. Inclusion criteria: (I) the original study on SLN drawing of high-risk EC line; (II) SLN drawing of the high-risk group was included in the EC line study. Exclusion criteria: (I) studies with fewer than ten patients; (II) meeting abstracts, reviews, case reports, or editorials. After reading the full text, it included research on the detection rate, sensitivity, and other relevant indicators of the report, and reached a consensus through discussion or listening to the third-party opinions in divergence.

Major outcome indicators include sensitivity or specificity of high-risk EC SLN mapping, detection rate, bilateral detection rate, para-aortic detection rate, NPV, and summary receiver operating characteristic (SROC) curve.

Quality evaluation

According to Cochrane’s QUADAS-2 scale, two researchers evaluated the quality and bias risk of the included diagnostic studies in four aspects (patient selection, diagnostic experiment, gold standard, follow-up). All items were evaluated as three grades: “yes”, “no” or “unknown”. The results were input into the software to make the quality evaluation chart of diagnostic study (Figure 1). Disagreements were reached through the original literature review and discussion.

Figure 1.

Quality assessment.

Data extraction

Two reviewers extracted the data. Data include author, year of publication, study design, patient population, SLN technology, relevant outcome data, and quality assessment programs. For SLN technology, we extracted data related to surgical approach (robot, laparoscopic, laparotomy), injection site, tracer selection, and pathological evaluation. As for extracting and analyzing the data after the SLN algorithm included the pre-sln/post-sln algorithm.

Statistical analysis

We used stata14.0 for meta-analysis of the included trial data. The statistical model was selected according to the size of heterogeneity (I²≥50% random effect model, I²<50% fixed effect model) for the detection rate, bilateral detection rate, and NPV meta-analysis. For sensitivity and specificity, we used a bivariate mixed effect model. Meta-regression was used to find the heterogeneity of major outcome indicators, and a funnel plot was used to detect publication bias between studies. All the above studies showed statistically significant differences at P<0.05.

Results

After preliminary screening and full-text review, 12 studies were included in the final analysis, with the main objectives of evaluating detection rate and diagnostic accuracy (Figure 2). A total of 758 high-risk EC patients were included, and the baseline characteristics of the included studies are shown in Table 2. Retrospective studies accounted for the majority, with 7 (58.3%) and 5 (41.7%) prospective studies (Table 3). Eleven studies performed pelvic lymph node dissection with or without para-aortic lymph node dissection after removing the SLN. One study performed pelvic lymph node dissection and para-aortic lymph node dissection only after drawing failure. Eleven studies pooled the results of diagnostic accuracy, and seven studies pooled the detection rate.

Figure 2.

PRIMA flow chat.

Table 2. Characteristics of included studies.

Author	Time period	Study size	Study method	Tracer used	Injection site	Cancer histology	Pathology assessment	SLN algorithm	Route of surgery	Reference standard
Baiocchi 2016	June 2007 to February 2017	75	Retrospective	Blue dye	Cervical injection	High-grade tumor (endometrioid grade 3 and nonendometrioid histologies: serous, clear cell, or carcinosarcoma), deep myometrial invasion (MI) (C 50%), or the presence of angiolymphatic invasion (LVSI).	H&E, IHC, ultrastaging	No	Laparotomy, conventional laparoscopies and robotic assisted laparoscopies	A systematic pelvic ± para-aortic lymphadenectomy
Ehrisman 2017	2012 to 2015	36	Retrospective	Methylene blue or indocyanine green (ICG) dye	Cervical injection	Carcinosarcoma, papillary serous, clear cell, or grade 3 endometrioid adenocarcinoma	H&E, cytokeratin stain	Yes	Laparoscopic and Robotically assisted	Complete pelvic lymphadenectomy
Naoura 2015	January 2001 to December 2012	34	Retrospective	Technetium and patent blue	Cervical injection	1 EC, grade 3 endometrioid cancer with myometrial infiltration superior to 50% and type 2 EC (serous EC, carcinosarcoma and clear cell cancer)	H&E, IHC	No	NR	Systematic bilateral pelvic lymphadenectomy +/− para-aortic lymphadenectomy
Paley 2016	March 2012 to May 2015	85	Prospective	ICG	Cervical injection	Serous, clear cell or carcinosarcoma histology on preoperative biopsy, tumor size >2 cm, >50% myometrial wall invasion, grade 3 histology	H&E,intraoperative frozen	No	Robotic-assisted	Bilateral pelvic and periaortic LND
Papadia 2018	December 2012 to July 2017	42	Retrospective	ICG	Cervical injection	Grade 3 endometrial cancer or a high-risk histology (papillary serous, clear cell carcinoma, carcinosarcoma, and neuroendocrine carcinoma)	H&E, ultrastaging	Yes	Laparoscopic	Full pelvic and para-aortic lymphadenectomy up to the renal vessels
Rajanbabu 2018	March 2015 to September 2017	25	Prospective	ICG	Cervical injection	PORTEC II risk stratification with high-risk	H&E	Yes	Robotic-assisted laparoscopic surgery	Bilateral pelvic and paraaortic LND where SLN’s were not detected
Ruiz 2018	June 26, 2014 to October 31, 2016	69	Retrospective	ICG	Cervical and fundal injection	Stage IA G3 with endometrioid type Stage IB (G1 and G2) with endometrioid type Stage IB G3 with endometrioid type all stages with non-endometrioid type	H&E, ultrastaging	No	Laparoscopic surgery	Pelvic and para-aortic lymphadenectomy
Soliman 2017	April 2013 to May 2016	101	Prospective	Indocyanine green; blue dye (Lymphazurin) Tc-99	Cervical injection	Serous, clear cell, FIGO grade 3 endometrioid, or carcinosarcoma histology based on preoperative sampling. Patients with biopsy-proven cervical involvement or FIGO grade 1/2 endometrioid tumors with suspected deep myometrial invasion on imaging were also eligible.	H&E, pan-cytokeratin stain	No	Robotic, laparoscopy and laparotomy	Full pelvic and para-aortic lymphadenectomy up to the renal vessels
Togami 2018	April 1, 2014, to December 27, 2017	40	Prospective	ICG	Cervical and uterine fundus	Myometrial invasion >50% and/or endometrioid carcinoma grade 3, serous carcinoma, or clear cell carcinoma	H&E	Yes	Laparotomy, laparoscopy or robotic hysterectomy	Pelvic lymphadenectomy with or without para-aortic lymphadenectomy,
Touhami 2017	November 2010 to November 2016	128	Retrospective	Blue dye and Tcm-99 and ICG	Cervical injection	Grade 3 endometrioid, serous, carcinosarcoma, clear cell and undifferentiated	H&E, ultrastaging	No	Laparoscopy or laparoscopically-assisted vaginal surgery, robotic surgery or laparotomy.	Complete pelvic lymphadenectomy ± para-aortic lymphadenectomy
Wang 2019	August 2016 to August 2018	98	Retrospective	ICG	Cervical injection	Serous, clear cell, FIGO grade 3 endometrioid, or carcinosarcoma,Patients with biopsyproven cervical involvement or FIGO grade 1/2 endometrioid tumors with deep myometrial invasion	H&E, IHC	Yes	NR	Pelvic with or without paraaortic lymphadenectomy
Ye 2019	Between July 2016 to July 2018	25	Prospective	ICG	Cervical injection	Grade 3 endometrioid, carcinosarcoma, serous, clear cell, or undifferentiated carcinoma	H&E, ultrastaging	No	Laparoscopic surgery	Complete bilateral lymphadenectomy ± paraaortic lymphadenectomy to the inferior mesenteric artery

EC, endometrial cancer; H&E, hematoxylin and eosin; ICG, indocyanine green; IHC, immunohistochemistry; LND, lymphadenectomy; NR, not reported; SLN, sentinel lymph node; Tc-99m, technecium-99.

Table 3. Quality assessment of included studies.

Author, year	Patient selection			Index test			Reference standard				Flow and timing
	Was a consecutive or random sample of patients enrolled	Was a case control design avoided? Did the study avoid inappropriate exclusions?		Were the index test results interpreted without knowledge of the results of the reference standard?	If a threshold was used, was it prespecified?		Reference standard	Is the reference standard likely to correctly classify the target condition?	Were the reference standard results interpreted without knowledge of the results of the index test?		Was there an appropriate interval between the index test and reference standard?	Did all patients receive the same reference standard?	Were all patients included in the analysis?
Baiocchi 2016	Y	Y		N	NR		A systematic pelvic ± para-aortic lymphadenectomy	Y	N		NR	Y	Y
Ehrisman 2017	Y	Y		N	NR		complete pelvic lymphadenectomy, total hysterectomy and bilateral salpingo-oophorectomy	N	N		NR	Y	Y
Naoura 2015	Y	Y		N	NR		Systematic bilateral pelvic lymphadenectomy +/− para-aortic lymphadenectomy	N	N		NR	Y	Y
Paley 2016	Y	Y		N	NR		Bilateral pelvic and periaortic LAN	Y	N		NR	Y	Y
Papadia 2018	Y	Y		N	NR		Full pelvic and para-aortic lymphadenectomy up to the renal vessels	Y	N		NR	Y	Y
Rajanbabu 2018	Y	Y		N	NR		Bilateral pelvic and paraaortic LND where SLN’s were not detected	Y	N		NR	Y	Y
Ruiz 2018	Y	Y		N	NR		Pelvic and para-aortic lymphadenectomy ± omentectomy ± appendectomy	Y	N		NR	Y	Y
Soliman 2017	Y	Y		N	NR		Full pelvic and para-aortic lymphadenectomy up to the renal vessels	Y	N		NR	Y	Y
Togami 2018	Y	Y		N	NR		Pelvic lymphadenectomy with or without para-aortic lymphadenectomy	Y	N		NR	Y	Y
Touhami 2017	Y	Y		N	NR		Complete pelvic lymphadenectomy ± para-aortic lymphadenectomy	Y	N		NR	Y	Y
Wang 2019	Y	Y		N	NR		Pelvic with or without paraaortic PAD or omentum resection	Y	N		NR	Y	Y
Ye 2019	Y	Y		N	NR		Complete bilateral lymphadenectomy ± paraaortic lymphadenectomy to the inferior mesenteric artery ± omentectomy	Y	N		NR	Y	Y

Detection rate

A total of 7 studies could extract relevant data of detection rate of high-risk EC SLN mapping (514 patients), with the detection rate ranging from 73.2% to 100% and the pooled detection rate of 87.8% (95% CI, 85.1–90.5%). The bilateral detection rate was 55.6–90.5%, and the pooled bilateral detection rate was 67.0% (95% CI, 56.8–77.3%). The para-aortic detection rate was 1.98–54.5% and the pooled para-aortic detection rate was 8.4% (95% CI, 1.8–14.9%, 5 studies) (Figure 3A,B,C) (8-14).

Figure 3.

Sentinel lymph node (SLN) detection rate. (A) Detection rate; (B) bilateral detection rate; (C) para-aortic detection rate.

Diagnostic accuracy

Eleven studies were conducted to evaluate the diagnostic accuracy of high-risk EC line SLN mapping. The pooled sensitivity was 87% (95% CI, 79–92%). The pooled specificity was 98% (95% CI, 96–99%). The pooled NPV was 97.7% (95% CI, 96.4–99.1%) (Figure 4A,B) (7-9,11-18). The SROC curve is shown in Figure 5, AUC =0.99 (95% CI, 0.97–0.99).

Figure 4.

Sentinel lymph node (SLN) diagnostic accuracy. (A) Sensitivity and specificity; (B) negative predictive value (NPV).

Figure 5.

Summary receiver operating characteristic (SROC) curve.

Meta regression analysis and subgroup analysis

In the combination of sensitivity analysis, there are a high heterogeneity I²=56.36 (26.90–85.77). Therefore, meta-regression analysis was conducted on study design, whether the SLN algorithm was followed, super pathological staging, study scale, and tracer selection to find the source of heterogeneity. From the analysis results, the heterogeneity of sensitivity was mainly related to study design and ICG use, but not to follow SLN resection principle, pathological staging and study scale (Figure 6A). Subgroup analysis showed that retrospective study and non ICG tracer had higher sensitivity, 90% (95% CI, 84–96%) and 90% (95% CI, 83–98%) respectively (Figure 6B).

Figure 6.

Meta regression analysis of sources of heterogeneity.

Sensitivity analysis

Further sensitivity analysis (Figure 7) was carried out to explore the effect of single study before and after removal on pooled effect size and pooled sensitivity. The result showed that Ye 2019 (7) had a great effect on the pooled effect size, which may be the source of heterogeneity. After excluding this study, the pooled sensitivity was 89% (95% CI, 84–93%), and the heterogeneity was significantly improved (I²=0.0%) (Figure 8). It is considered that the heterogeneity may be derived from the prospective design of this study and the use of ICG, and the conclusion of this study was also contrary to the other studies.

Figure 7.

Sensitivity analysis.

Figure 8.

Sentinel lymph node (SLN) diagnostic accuracy sensitivity and specificity (exclude Ye L 2019).

Publication bias

The publication bias was analyzed and adjusted for 11 studies that evaluated the diagnostic accuracy. The result was shown in the Deek’s funnel plot (P=0.01<0.1) (Figure 9). The pooled effect size of both the fixed-effect model and the random-effect model was 5.616 (95% CI, 4.612–6.621) before the funnel plot was trimmed and filled, while that was changed to 191.369 (95% CI, 78.606–465.895) after trimming and filling. The significant change in the pooled effect size suggested the possible publication bias.

Figure 9.

Publication bias.

Discussion

Clinical studies have shown that patients with early EC have a low incidence of abdominopelvic lymph node metastasis. Systematic lymphadenectomy can assess the lymph node status, but it will lead to neurovascular injury, lymphocyst, chronic lymphedema of the lower limb, rare chylous ascites and infection and other complications, seriously affecting the quality of life of patients. Moreover, lymph nodes are immune organs, and it is currently believed that lymph nodes that have not yet metastasized still have the defense function of blocking the spread of cancer cells. Therefore, systematic lymphadenectomy can weaken the anti-tumor immunity of the body while increase the potential risk of distant metastasis of occult cancer foci. The SLN mapping technique can avoid the complications caused by systematic lymphadenectomy to a great extent on the premise of ensuring the diagnostic accuracy. In addition, because patients with low-risk EC who meet the "Mayo criteria" have a lymph node metastasis rate or recurrence rate of less than 1% and can avoid systematic lymphadenectomy. Collectively, the application of SLN mapping technique in patients with high-risk EC is of greater significance.

A total of 12 studies were included in this systematic evaluation and meta-analysis, including 758 high-risk EC patients, and the detection rate of SLN mapping was 84.8% (95% CI, 79.9–89.6%). The pooled bilateral detection rate was 67.0% (95% CI, 56.8–77.3%). The pooled para-aortic detection rate was 8.4% (95% CI, 1.8–14.9%). The pooled sensitivity was 87% (95% CI, 79–92%), and the pooled specificity was 98% (95% CI, 96–99%). Pooled NPV was 97.7% (95% CI, 96.4–99.1%). Our analysis concluded that SLN mapping was still of sufficient diagnostic accuracy in high-risk EC patients and could be a reliable alternative to systematic lymptomies, which meant that patients with EC did not need to assess the risk of lymph node metastasis but could use SLN mapping to evaluate the status of lymph nodes. On a larger scale, EC patients would receive more accurate treatment and avoid unnecessary complications and pain.

The included studies’ overall detection rate in this paper ranged from 73.2% to 100%, and the bilateral detection rate was 55.6% to 90.5%. The factors that may affect the detection rate of SLN have also been reported in previous studies. Patients’ relevant characteristics include age, weight, menopause, pelvic surgery, history (cesarean section; accessory surgery; appendicitis. cervical surgery; hysteromyoma nucleus excises), etc. Tumor related characteristics include lymph node metastasis, histological type, tumor stage, tumor size, depth of muscle invasion, LVSI, etc. However, most of the relationships with detection rates are still unclear. In a recent study, the authors analyzed these factors and found that sentinel node detection was only associated with the injector (19). Khoury-Collado et al. (20) reported that higher detection rates and lower false-negative rate could be achieved through the learning curve of more than 30 cases. Simultaneously, the SLN algorithm proposed by Barlin et al. (21) can also reduce the false-negative rate and improve the diagnostic accuracy of SLN mapping, mainly including (I) the assessment of peritoneum and serosa, peritoneal washing fluid. (II) Retroperitoneal evaluation, which included a positive SLN and any lymph nodes with suspected metastasis, whether stained or not. (III) If SLN is not found on one side, perform lymph node dissection on one side (external iliac, internal iliac, and obturator foramen). After its retrospective application of the principle, the false-negative rate was reduced from 15% to 2%, and the NPV was as high as 99.8%. Therefore, for the injection link of SLN drawing, the tracer’s injection process should be standardized, and the injection personnel should be trained accordingly. Simultaneously, the injection personnel should be fixed as much as possible. The application of the SLN algorithm can also reduce the false-negative rate of SLN drawing.

Some studies show that super pathological staging can detect an additional 4.5% of low-load metastases (22). However, tumor micrometastases and isolated tumor cells’ clinical significance is still unclear, so patients with tumor micrometastases need adjuvant therapy and what benefits adjuvant therapy will bring. In a recent multicenter retrospective study conducted by Ignatov et al., 428 patients were included, and the results showed micrometastases were associated with reduced disease-free survival (DFS) in patients with EC, with a 2-fold increased risk of recurrence. Together, adjuvant therapy may improve DFS in patients with micrometastases, with a 71% reduced risk (23).

The 12 studies included in this study did not report the prognostic impact of SLN mapping on high-risk EC. Previous studies showed no significant difference in progression-free survival between SLN resection and systematic lymph node dissection (24-28), but the subjects were mostly low-risk EC. The effect of SLN mapping on the long-term prognosis of high-risk EC is still to be explored.

This study summarizes relevant studies on SLN mapping of high-risk EC lines given existing disputes, but there are still some limitations. In this paper’s studies, multiple tracers and injection routes have been used, affecting the actual effect of specific tracers and injection routes. Moreover, all studies are limited to English, and key studies may be omitted.

This study included 12 studies and conducted a systematic evaluation and meta-analysis. SLN mapping still has a high detection rate and diagnostic accuracy in high-risk EC. SLN mapping is a reliable alternative to systematic lymph node dissection, but its prognostic impact on high-risk EC has yet to be further studied and needs to be verified by large sample studies.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.