Literature DB >> 35882605

The added value of SLN mapping with indocyanine green in low- and intermediate-risk endometrial cancer management: a systematic review and meta-analysis.

Lara C Burg1, Shenna Verheijen2, Ruud L M Bekkers3,4,5, Joanna IntHout6, Robert W Holloway7, Salih Taskin8, Sarah E Ferguson9,10, Yu Xue11, Antonino Ditto12, Glauco Baiocchi13, Andrea Papadia14,15, Giorgio Bogani16, Alessandro Buda17,18, Roy F P M Kruitwagen2,3,4, Petra L M Zusterzeel2.   

Abstract

OBJECTIVE: The aim of this study was to assess the SLN detection rate in presumed early stage, low- and intermediate-risk endometrial cancers, the incidence of SLN metastases, and the negative predictive value of SLN mapping performed with indocyanine green (ICG).
METHODS: A systematic review with meta-analyses was conducted. Study inclusion criteria were A) low- and intermediate-risk endometrial cancer, B) the use of ICG per cervical injection; C) a minimum of twenty included patients per study. To assess the negative predictive value of SLN mapping, D) a subsequent lymphadenectomy was an additional inclusion criterion.
RESULTS: Fourteen studies were selected, involving 2,117 patients. The overall and bilateral SLN detection rates were 95.6% (95% confidence interval [CI]=92.4%-97.9%) and 76.5% (95% CI=68.1%-84.0%), respectively. The incidence of SLN metastases was 9.6% (95% CI=5.1%-15.2%) in patients with grade 1-2 endometrial cancer and 11.8% (95% CI=8.1%-16.1%) in patients with grade 1-3 endometrial cancer. The negative predictive value of SLN mapping was 100% (95% CI=98.8%-100%) in studies that included grade 1-2 endometrial cancer and 99.2% (95% CI=97.9%-99.9%) in studies that also included grade 3.
CONCLUSION: SLN mapping with ICG is feasible with a high detection rate and negative predictive value in low- and intermediate-risk endometrial cancers. Given the incidence of SLN metastases is approximately 10% in those patients, SLN mapping may lead to stage shifting with potential therapeutic consequences. Given the high negative predictive value with SLN mapping, routine lymphadenectomy should be omitted in low- and intermediate-risk endometrial cancer.
© 2022. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology.

Entities:  

Keywords:  Endometrial Cancer; Indocyanine Green; Lymphadenectomy; Meta-Analysis; Sentinel Lymph Node Mapping; Systematic Review

Mesh:

Substances:

Year:  2022        PMID: 35882605      PMCID: PMC9428296          DOI: 10.3802/jgo.2022.33.e66

Source DB:  PubMed          Journal:  J Gynecol Oncol        ISSN: 2005-0380            Impact factor:   4.756


INTRODUCTION

The vast majority of patients (80%) with endometrial cancer are being diagnosed at an early stage [1]. These patients can be divided into a low-, intermediate- or high-risk classification, based on age, International Federation of Gynecology and Obstetrics stage, histological type, grade of the tumor and myometrial invasion with or without lymphovascular space invasion [1]. The presence of lymph node metastasis is the most important prognostic factor [23]. Until recently, complete pelvic with or without para-aortic lymphadenectomy was the recommended strategy to assess lymph node status. Lymphadenectomy is associated with a significant risk of morbidity, especially lymphedema [45]. In patients with a high-risk classification, the incidence of risk of lymph node metastasis is up to 25% [678]. It is therefore of great importance to properly assess the lymph node status and to set the indication for adjuvant therapy, since multiple studies show a survival advantage in women with lymph node metastasis who were treated with adjuvant chemotherapy [910]. In patients with presumed low- or intermediate-risk endometrial cancers, the incidence of lymph node metastases has been reported up to 15%, depending on immunohistochemical characteristics of the tumor such as hormone receptor loss [71112]. A complete lymphadenectomy or lymph node sampling is often omitted in these patients given the lower risk of lymph node metastasis and the significant risk of morbidity [1]. Sentinel lymph node (SLN) mapping is a proposed alternative to assess lymph node status. It is performed by injecting dye with or without a radiotracer into the cervical stroma which then allows the identification of the SLN(s) usually with laparoscopic or robotic imaging systems [13]. Removal of specific SLNs is associated with a lower risk of complications compared to a complete lymph node dissection. SLN mapping with pathological ultrastaging (i.e., serial sectioning and immunohistochemistry) has been shown to increase the detection of metastases, largely with detection of micrometastasis and isolated tumor cell metastases [1415]. Recent studies have shown that SLN mapping is feasible, safe, and cost-effective, with the highest detection rate achieved by using indocyanine green (ICG) as cervical injection [1416171819]. The added value of SLN mapping in high-risk tumors is inevitable given the a priori chance of lymph node metastasis. More discussion subsists about the need for SLN mapping in low- and intermediate-risk endometrial cancer. However, with the known discrepancy between the preoperative and postoperative tumor grade, leading to upgrading in 25% of patients with preoperative grade 1 and 2 tumors, and the impact of immunohistochemical characteristics in mind, SLN mapping seems justifiable in presumed low- and intermediate-risk endometrial cancer as well [71220]. The European Society of Gynaecological Oncology guideline therefore states that SLN mapping should be performed in patients with presumed early stage high-intermediate-risk and high-risk endometrial cancer and that it can be considered for patients with low- and intermediate-risk endometrial cancer. This is implemented in multiple European countries [16]. Previous reviews on SLN mapping were rather heterogeneous in their inclusion criteria, with the use of multiple tracers such as blue dye with or without technetium, and multiple injection sites (cervical stroma, subserous, fundal) [2122]. The aim of this systematic review is to assess the detection rate of SLN mapping in presumed early stage, low- and intermediate-risk endometrial cancer by using a cervical injection of ICG and to assess the diagnostic value of SLN mapping compared to a systematic (pelvic) lymph node dissection.

METHODS

This systematic review was conducted by following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement [23]. A summary of the literature search and study selection is depicted in Fig. 1.
Fig. 1

Summary of the peer-reviewed literature search and selection. All processes were conducted by 2 independent reviewers (LB/SV).

IGC, indocyanine green; LND, lymph node dissection; SLN, sentinel lymph node.

Summary of the peer-reviewed literature search and selection. All processes were conducted by 2 independent reviewers (LB/SV).

IGC, indocyanine green; LND, lymph node dissection; SLN, sentinel lymph node.

1. Search strategy

A systematic search using electronic databases was performed in February 2021 and repeated in October 2021, using the following search engines: PubMed, Embase, Web of Science, the Cochrane Library and ClinicalTrials.gov. No filter on year of publication was set; all studies published up until the date of the search were taken into account. The search query combined synonyms, including MeSH-terms, for endometrial cancer, SLN mapping and lymph node dissection. Language was restricted to English. Reviews and case reports were excluded. Despite the focus on low- and intermediate-risk endometrial cancer and the use of ICG as marker for SLNs, these terms were not included in the search strategy because of their large limiting effect on the search yield. Furthermore, text words were combined to search for relevant peer-reviewed literature. We also performed a reference and related article search. Duplicate articles were filtered using Rayyan. Titles and abstracts were screened; in case an accurate judgment for inclusion was difficult, the original document was assessed by applying the selection and eligibility criteria.

2. Eligibility criteria

To assess the detection rate of SLN mapping, the following eligibility criteria were used: A) early stage, low- and intermediate-risk endometrial cancer (endometrioid histology, histological grade 1 and 2); B) cervical injection with ICG; C) a minimal number of twenty included patients per study. To assess the diagnostic value of SLN mapping, D) a subsequent (pelvic) lymph node dissection was an additional eligibility criterion. Articles that also included grade 3 endometrioid tumors in addition to grade 1 and 2 tumors were not excluded, as this would greatly lower the yield of articles. In articles in which grade 3 tumors were included as well, it was necessary to distinguish grade 1–2 from grade 3 tumors. The performance of ultrastaging on SLN specimen was not a specific criterion for inclusion or exclusion.

3. Study selection and data extraction

After the full-text assessment for eligibility, all articles that met the eligibility criteria of one or both study aims (i.e., detection rate and/or negative predictive value) were selected. As not all relevant data could be extracted directly from those articles, we contacted the corresponding authors of these articles, and asked them to share their raw data. Articles of authors not responding, not willing, or not able to share their data, were excluded. Eventually, peer-reviewed and published studies were selected that met the eligibility criteria. The eligibility of all articles was independently assessed by 2 reviewers (LB/SV). Data extraction of the remaining fourteen articles included author, year of publication, number of included patients, histological grade of the tumor, results of SLN mapping (bilateral, unilateral or no identification of the SLN), SLN metastasis, and if applicable results of (pelvic) lymph node dissection. As some data were provided by the corresponding authors, not all data can be retrieved directly from the original articles.

4. Quality assessment

The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to evaluate the quality of the selected studies [24]. This tool is developed for quality assessment determining the risk of bias and the applicability. This is based on 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain was judged at ‘low risk’, ‘high risk’ or ‘unclear risk’ of bias. The QUADAS-2 assessment was conducted by 2 independent reviewers (LB/SV); in case of not matching opinions, consensus was reached after mutual discussion.

5. Statistical analyses

Random-effects meta-analyses were conducted to estimate the overall detection rate, the bilateral detection rate, the unilateral detection rate, the incidence of SLN metastases, and the negative predictive value, based on the aggregate data as provided in the source papers or by the authors. The meta-analyses were conducted using the inverse variance method, the restricted maximum-likelihood estimator for τ2, the Q-profile method for confidence intervals of τ2 and τ, the Hartung-Knapp-Sidik-Jonkman adjustment for random effects model and an arcsine transformation of the proportions [2526]. The estimates of the detection rate were based on all studies without making a distinction in histological grade, meaning that all studies including histological grades 1, 2, and 3 were included, as we assumed that the grade of the tumor has no effect on whether or not an SLN is found during surgery. The negative predictive value of SLN mapping, compared to a systematic (pelvic) lymph node dissection, was estimated in 2 ways: for studies including histological grade 1 and 2 only (true low- and intermediate-risk endometrial cancer patients), and for studies including all 3 histological grades. The negative predictive value was based on all cases (both bilateral and unilateral mapping). The individual study proportions in the forest plots were presented with Clopper-Pearson 95% confidence intervals (CIs). Analyses were conducted using the statistical software R version 3.6.2 and package meta version 4.18-2 [27].

RESULTS

1. Study selection

A total of 1,952 publications were identified through database searching. After duplicate removal and title and abstract screening 102 articles remained (Fig. 1). Those articles underwent full-text assessment, which led to 27 articles that met the eligibility criteria. Since not all data could be extracted directly from the articles, corresponding authors were asked to share their raw data. Not all authors responded or were willing or able to share their data, leading to another thirteen exclusions. Eventually, fourteen peer-reviewed and published studies were selected that met all the eligibility criteria, and of which data were available (Fig. 1) [1415282930313233343536373839]. The risk of bias, using the QUADAS-2 tool, is depicted in Figs. S1 and S2. Six studies were judged at ‘high-risk’ in the domain ‘reference standard’; in those studies, a subsequent lymph node dissection after SLN mapping was not performed on standard basis. An ‘unclear risk’ of bias or concerns regarding applicability was judged if the patient selection was not quite clear or if the index test did not meet the criteria completely (e.g., SLN mapping with ICG in combination with blue dye, or histological assessment of SLNs did not include ultrastaging).

2. Study characteristics

Fourteen studies were included, and relevant data was extracted in a database (Table 1). More extended information on the included studies is presented in Table S1. Thirteen studies were observational cohort studies of which 4 were prospective and 9 were retrospective. The remaining study was a randomized controlled trial [34]. All patients were diagnosed with presumed early-stage endometrioid endometrial cancer (n=2,620). The majority of patients had histological grade 1 or 2 endometrioid endometrial cancer (7 studies, n=2,267, 87%). Studies that also included patients with grade 3 (n=305 patients, 11%) or unknown grade endometrioid tumors (n=48 patients, 2%) in addition to grade 1 and 2 tumors were not excluded (all patients with grade 3 or unknown tumor grade: 7 studies, n=353 patients, 13%).
Table 1

Baseline information of included studies (n=14) which are included in the analysis of the detection rate of SLN mapping (all studies)

AuthorYear of publicationStudy designStudy populationTumor grade (all endometrioid histology)Patients with SLN mapping with ICGSLN detectionSLN meta-stasis
123?BilateralUnilateralNone
Backes et al. [28]2019P20412726510204138462032
Bogani et al. [29]2020R621241906259309
Buda et al. [30]2016R853550002522306
Clinton et al. [31]2017R3502121380018712065224
Cusimano et al. [32]2021P1560301260156121314G1–2: 3
G1–3: 24
Diniz et al. [33]2021R25316786006862337
Ditto et al. [34]2020P1216061001218519178
Holloway et al. [15]2016R11946442901199621235
Papadia et al. [35]2016R652441006559426
Rossi et al. [14]2017P34015210238483401771164735
Stephens et al. [36]2020R32321211100323278331258
Taskin et al. [37]2020R28116112000186129411611
Xue et al. [38]2021R1328221270130853967
Ye et al. [39]2019P13198825013181419G1–2: 3
G1–3: 4

G1–2, patients with tumor grade 1 or 2; G1–3, patients with tumor grade 1, 2 of 3; P, prospective; R, retrospective.

G1–2, patients with tumor grade 1 or 2; G1–3, patients with tumor grade 1, 2 of 3; P, prospective; R, retrospective. All patients who underwent SLN mapping by using ICG per cervical injection (superficial and deep) at 3’ and 9’ o’clock were included in the analyses for the detection rate (n=2,117). Near-infrared imaging was used in all cases. All patients who also underwent a subsequent lymph node dissection were included in the analyses for the negative predictive value (n=1,464, Table 2). Additional information on the included studies is reported in Table S1.
Table 2

Baseline information of included studies (n=8) which are included in the analysis of the negative predictive value of SLN mapping

AuthorYear of publicationStudy designStudy populationPatients underwent SLN mapping with ICG with subsequent lymph node dissectionMetastasis
In SLN (%)Not in SLN, but in other lymph node (i.e., false-negative SLN)
Including grade 1 and 2
Cusimano et al. [32]2021P30303 (10)0
Stephens et al. [36]2020R32332358 (18)0
Ye et al. [39]2019P106973 (3)0
Including grade 1–3
Backes et al. [28]2019P20420432 (16)2
Bogani et al. [29]2020R62629 (15)0
Cusimano et al. [32]2021P15615624 (15)3
Holloway et al. [15]2016R11911935 (29)1
Rossi et al. [14]2017P34034035 (10)1
Xue et al. [38]2021R1301307 (5)2
Ye et al. [39]2019P1311314 (3)4

Note that the diagnostic value was calculated twice: for studies including grade 1–2 endometrial cancer, and for studies including grade 1, 2, and 3 endometrial cancer.

ICG, indocyanine green; P, prospective; R, retrospective; SLN, sentinel lymph node.

Note that the diagnostic value was calculated twice: for studies including grade 1–2 endometrial cancer, and for studies including grade 1, 2, and 3 endometrial cancer. ICG, indocyanine green; P, prospective; R, retrospective; SLN, sentinel lymph node.

3. Detection rate

Across studies, the overall SLN detection rate during surgery ranged from 86.0% to 100%, with a pooled average of 95.6% (95% CI=92.4%–97.9%) and a prediction interval from 81.1% to 100% (Fig. 2A). The pooled average of no SLN detection at all is therefore 4.4%. The bilateral detection rate of SLN mapping ranged from 52.1% to 95.2%, with a pooled average of 76.5% (95% CI=68.1%–84.0%) and a prediction interval from 43.0% to 97.6% (Fig. 2B). The unilateral detection rate of SLN mapping ranged from 4.4% to 34.8%, with a pooled average of 18.2% (95% CI=12.2%–25.1%) and a prediction interval from 1.8% to 4.6% (Fig. 2C). Funnel plots are shown in Fig. S3.
Fig. 2

Detection rates of the SLN in all studies. (A) Overall detection rate of the SLN. (B) Bilateral detection rate of the SLN. (C) Unilateral detection rate of the SLN.

CI, confidence interval; SLN, sentinel lymph node.

Detection rates of the SLN in all studies. (A) Overall detection rate of the SLN. (B) Bilateral detection rate of the SLN. (C) Unilateral detection rate of the SLN.

CI, confidence interval; SLN, sentinel lymph node.

4. Incidence of SLN metastasis

The estimated pooled incidence of SLN metastases in studies including grade 1 and 2 endometrial cancer patients was 9.6% (95% CI=5.1%–15.2%), with a range from 3.1% to 24.0% and a prediction interval from 0.7% to 26.7% (Fig. 3A). In studies including grade 1, 2, and 3 endometrial cancer patients, the estimated pooled incidence of SLN metastases was 11.8% (95% CI=8.1%–16.1%), with a range from 3.1% to 29.4% and a prediction interval from 1.7% to 29.1% (Fig. 3B). Funnel plots are shown in Fig. S4.
Fig. 3

Incidence of SLN metastases in endometrial cancer. (A) Incidence of SLN metastases in grade 1–2 endometrial cancer. (B) Incidence of SLN metastases in grade 1, 2, and 3 endometrial cancer.

CI, confidence interval; SLN, sentinel lymph node.

Incidence of SLN metastases in endometrial cancer. (A) Incidence of SLN metastases in grade 1–2 endometrial cancer. (B) Incidence of SLN metastases in grade 1, 2, and 3 endometrial cancer.

CI, confidence interval; SLN, sentinel lymph node.

5. Diagnostic value of SLN mapping

The estimated pooled negative predictive value in studies including only in grade 1 and 2 endometrial cancer patients was 100% (95% CI=98.8%–100%, Fig. 4A), but the prediction interval shows that in a future setting the true negative rate may be as low as 89.9%. The estimated pooled negative predictive value in studies including grade 1, 2, and 3 endometrial cancer patients was 99.2% (95% CI=97.9%–99.9%), with a range from 96.9% to 100% across studies (Fig. 4B). The prediction interval shows that in a future setting the true negative rate may be as low as 94.9%. Funnel plots are shown in Fig. S5.
Fig. 4

Diagnostic value (negative predictive value) of SLN mapping. (A) Negative predictive value of SLN mapping in grade 1–2 endometrial cancer. (B) Negative predictive value of SLN mapping in grade 1–3 endometrial cancer.

CI, confidence interval; SLN, sentinel lymph node.

Diagnostic value (negative predictive value) of SLN mapping. (A) Negative predictive value of SLN mapping in grade 1–2 endometrial cancer. (B) Negative predictive value of SLN mapping in grade 1–3 endometrial cancer.

CI, confidence interval; SLN, sentinel lymph node.

DISCUSSION

In this systematic review of the literature in combination with meta-analysis, we show that SLN mapping has a high overall detection rate of 95.6% (95% CI=92.4%–97.9%) and a bilateral detection rate of 76.5% (95% CI=68.1–84.0) in low- and intermediate-risk endometrial cancer patients. Lymph node metastases were present in 9.6% (95% CI=5.1%–15.2%) of patients with grade 1 and 2 endometrial cancer, and in 11.8% (95% CI=8.1%–16.1%) in patients with grade 1, 2 of 3 endometrial cancer. The diagnostic value of SLN mapping in low- and intermediate-risk endometrial cancer patients was excellent, with a negative predictive value of 100% (95% CI=98.8%–100%) in grade 1 and 2 tumors, and 99.2% (95% CI=97.9%–99.9%) in studies that included endometrioid grade 3 tumors as well. Surgical staging with lymph node mapping is standard-of-care in high-risk endometrial cancer in most countries, with SLN mapping increasingly replacing the routine lymph node dissection [16]. This systematic review and meta-analysis supports the importance of SLN mapping in low- and intermediate-risk endometrial cancer patients as well. With lymph node metastasis being the most important risk factor in endometrial cancer, and the presented high overall detection rate, the considerable prevalence of SLN metastasis and the high negative predictive value, SLN mapping turns out to be a feasible technique and a good alternative to lymph node dissection, especially in combination with ultrastaging for detection of micrometastasis [23]. SLN mapping in low- and intermediate-risk endometrial cancer is therefore an excellent example of patient-tailored care. A previous Vignette study on patients’ views on SLN mapping already showed that patients are in favor of SLN mapping in low- and intermediate-risk endometrial cancer [40]. These preferences should be taken into account when counseling a patient for surgical treatment with presumed early-stage low- and intermediate-risk endometrial cancer, especially since SLN mapping is the most cost-effective strategy to guide the need for adjuvant therapy in patients with low and intermediate-risk endometrioid endometrial cancer [17]. Patient-tailored care and shared decision making are also important in case of unsuccessful SLN mapping (unilateral mapping or no mapping at all), in which the decision must be made whether or not to perform a full lymphadenectomy. For example, in the current Dutch guidelines, no assessment of lymph nodes is performed in low- and intermediate-risk endometrial cancer. The implementation of SLN mapping would therefore be an addition to standard care [1]. In that case, a previous cost-effectiveness analysis showed that only unilateral SLN mapping is already cost-effective to guide the need for adjuvant therapy and thereby labeled as successful. A lymphadenectomy can therefore be omitted [17]. In other countries, different considerations may be made. Furthermore, it is known that a discrepancy exists between the preoperative and postoperative grading of a tumor. Visser et al. [20] showed that 18% of preoperative grade 1–2 tumors is upgraded to grade 3 tumors postoperative, and 25% of preoperative grade 3 tumors is downgraded to grade 2 tumors postoperative. Especially for those patients who are upgraded in the final pathological assessment, SLN mapping is of added value, since their a priori risk of SLN metastasis is increased compared to patients with actual grade 1 and 2 endometrial cancer. Multiple previous studies already reviewed the value of SLN mapping in endometrial cancer, however they included all histologies and grades, all types of dye with or without radiotracer, and no specific way of injecting the dye [1819]. A meta-analysis from 2017, including studies with all tracers and methods of injecting the dye, mentioned an overall detection rate of 81% and a bilateral detection rate of 50%. The bilateral detection rate increased to up to 75% if a cervical injection of ICG was used. In only 7 out of 55 studies included in the 2017 review, patients actually received ICG. Furthermore, women with more advanced stage of disease and other histology than endometrioid endometrial cancer were included [21]. Similar results were seen in other reviews [22]. Our systematic review and meta-analysis is the first to specifically examine the added value of SLN mapping by solely using the cervical injection of ICG in low- and intermediate-risk endometrial cancer patients, which is nowadays considered as first choice. A limitation of our study is that some included articles also included grade 3 patients (13%), while the aim of this systematic review and meta-analysis was to investigate patients with grade 1 and 2 endometrial cancer (i.e., with low- and intermediate-risk profile). Not all articles clearly distinguished between grade 1–2 and grade 3 patients. Therefore, corresponding authors were asked to share their raw data. As not all authors were able or willing to share their data, thirteen studies could not be included in the analyses. Nevertheless, the inclusion of both grade 1–2 and 3 should not impact the analysis on the detection rate, since tumor grade is presumed not to affect the detection of SLNs during surgery, since the detection rate of SLNs during surgery is independent of histological grade. The histological grade does however impact the negative predictive value, since diagnostic values are dependent of a priori risks. Therefore, 2 analyses were performed, including studies with and without grade 3 tumors respectively, leading to comparable results. It is remarkable that the incidence of SLN metastasis varies so widely among the included articles, from 3% to 24% and 3% to 29% in studies including grade 1 and 2 and including grade 1, 2 and 3 endometrial cancer, respectively. The study of Xue et al. [38] for example reports one of the lowest incidence of SLN metastasis (5.4% in all grades). In their data sharing report, they mention that, since their study is a retrospective analysis, ultrastaging was not performed in all SLN procedures, inevitably leading to missed micrometastasis. Since the majority of the included studies were retrospective in design, it cannot be ruled out that this applies to several studies. Another limitation of our study might be the difference between the number of included patients in all fourteen articles combined (n=2,620) and the number of patients who actually underwent SLN mapping (n=2,117). There are several reasons for this discrepancy. In some studies, not all patients had ICG as tracer for SLN mapping, thus only a selection of the study population could be included in our study [303337]. In another included study, the decision regarding lymph node dissection was at the discretion of the individual surgeon [31]. Some patients had SLN biopsy with or without subsequent lymph node dissection, and some patients had no lymph node sampling (SLN mapping or lymph node dissection) at all. As the surgeons became more familiar with SLN mapping, more patients underwent SLN mapping. To clarify, the latter article was not included in the analysis of the diagnostic value, only in the analysis of the detection rate. In conclusion, SLN mapping with ICG is a feasible technique with a high detection rate and negative predictive value in low- and intermediate-risk endometrial cancers. Given the incidence of lymph node metastasis, it therefore should be considered in the treatment of patients with low- and intermediate-risk endometrial cancer, since lymph node metastases are an important prognostic factor and SLN mapping may lead to stage shifting with potential therapeutic consequences. Our results support the opinion that a more rigorous routine lymphadenectomy can be safely omitted in low- and intermediate-risk endometrial cancer patients who undergo successful bilateral SLN mapping procedures.
  36 in total

1.  Why add anything to nothing? The arcsine difference as a measure of treatment effect in meta-analysis with zero cells.

Authors:  Gerta Rücker; Guido Schwarzer; James Carpenter; Ingram Olkin
Journal:  Stat Med       Date:  2009-02-28       Impact factor: 2.373

Review 2.  Sentinel lymph node assessment in endometrial cancer: a systematic review and meta-analysis.

Authors:  Anna Jo Bodurtha Smith; Amanda Nickles Fader; Edward J Tanner
Journal:  Am J Obstet Gynecol       Date:  2016-11-18       Impact factor: 8.661

3.  A cost-effectiveness analysis of three approaches for lymph node assessment in patients with low- and intermediate-risk endometrial cancer.

Authors:  Lara C Burg; Robin J Vermeulen; Ruud L M Bekkers; Stan R W Wijn; Maroeska M Rovers; Tim M Govers; Petra L M Zusterzeel
Journal:  Gynecol Oncol       Date:  2021-02-11       Impact factor: 5.482

4.  Relationship between surgical-pathological risk factors and outcome in clinical stage I and II carcinoma of the endometrium: a Gynecologic Oncology Group study.

Authors:  C P Morrow; B N Bundy; R J Kurman; W T Creasman; P Heller; H D Homesley; J E Graham
Journal:  Gynecol Oncol       Date:  1991-01       Impact factor: 5.482

5.  Hysteroscopic versus cervical injection for sentinel node detection in endometrial cancer: A multicenter prospective randomised controlled trial from the Multicenter Italian Trials in Ovarian cancer (MITO) study group.

Authors:  Antonino Ditto; Jvan Casarin; Ciro Pinelli; Anna M Perrone; Paolo Scollo; Fabio Martinelli; Giorgio Bogani; Umberto Leone Roberti Maggiore; Mauro Signorelli; Valentina Chiappa; Giorgio Giorda; Giuseppe Scibilia; Pierandrea De Iaco; Mariateresa Evangelista; Fabio Ghezzi; Biagio Paolini; Salvatore Lo Vullo; Luigi Mariani; Rosanna Montone; Francesco Raspagliesi
Journal:  Eur J Cancer       Date:  2020-10-05       Impact factor: 9.162

Review 6.  Accuracy of Endometrial Sampling in Endometrial Carcinoma: A Systematic Review and Meta-analysis.

Authors:  Nicole C M Visser; Casper Reijnen; Leon F A G Massuger; Iris D Nagtegaal; Johan Bulten; Johanna M A Pijnenborg
Journal:  Obstet Gynecol       Date:  2017-10       Impact factor: 7.661

7.  Hormone receptor loss in endometrial carcinoma curettage predicts lymph node metastasis and poor outcome in prospective multicentre trial.

Authors:  Jone Trovik; Elisabeth Wik; Henrica M J Werner; Camilla Krakstad; Harald Helland; Ingrid Vandenput; Tormund S Njolstad; Ingunn M Stefansson; Janusz Marcickiewicz; Solveig Tingulstad; Anne C Staff; Frederic Amant; Lars A Akslen; Helga B Salvesen
Journal:  Eur J Cancer       Date:  2013-08-08       Impact factor: 9.162

8.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

Review 9.  IGCS Intraoperative Technology Taskforce. Update on near infrared imaging technology: beyond white light and the naked eye, indocyanine green and near infrared technology in the treatment of gynecologic cancers.

Authors:  Nadeem R Abu-Rustum; Roberto Angioli; Arthur E Bailey; Vance Broach; Alessandro Buda; Michelle R Coriddi; Joseph H Dayan; Michael Frumovitz; Yong Man Kim; Rainer Kimmig; Mario M Leitao; Mustafa Zelal Muallem; Matt McKittrick; Babak Mehrara; Roberto Montera; Lea A Moukarzel; Raj Naik; Silvana Pedra Nobre; Marie Plante; Francesco Plotti; Oliver Zivanovic
Journal:  Int J Gynecol Cancer       Date:  2020-03-30       Impact factor: 3.437

10.  Impact of Indocyanine Green for Sentinel Lymph Node Mapping in Early Stage Endometrial and Cervical Cancer: Comparison with Conventional Radiotracer (99m)Tc and/or Blue Dye.

Authors:  Alessandro Buda; Cinzia Crivellaro; Federica Elisei; Giampaolo Di Martino; Luca Guerra; Elena De Ponti; Marco Cuzzocrea; Daniela Giuliani; Federica Sina; Sonia Magni; Claudio Landoni; Rodolfo Milani
Journal:  Ann Surg Oncol       Date:  2015-12-29       Impact factor: 5.344

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