A Prospective Study of Sentinel Lymph Node Mapping for Endometrial Cancer: Is It Effective in High-Risk Subtypes?

  • Ye L
  • Li S
  • Lu W
  • et al.
23Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

© AlphaMed Press 2019 Background: The efficacy of sentinel lymph node (SLN) mapping for high-risk endometrial cancer remains unclear. This prompted us to evaluate the sensitivity, negative predictive value (NPV), and false-negative (FN) rate of cervical injection of indocyanine green (ICG) SLN mapping in patients with endometrial cancer. Materials and Methods: This prospective interventional study was performed at a single university teaching hospital. Consecutive patients with early-stage endometrial cancer who underwent laparoscopic surgical staging were included. Cervical injection of ICG and near-infrared SLN identification and biopsy were performed for all study patients followed by systematic pelvic lymphadenectomy, whereas para-aortic lymphadenectomy was performed in all patients with high-risk histologies. SLN detection rates, sensitivity, NPV, and FN rates were calculated. Results: Between July 2016 and July 2018, 131 patients were enrolled. The overall SLN detection rate was 93.1%, with a bilateral detection rate of 61.8%. Four positive SLNs were identified in four patients. Lymph node metastasis was observed in four additional patients without positive SLNs. These four patients belonged to a group of patients with a high-risk subtype. Three of the four patients had isolated para-aortic node metastases. In low-risk endometrial cancers, the sensitivity of the SLN technique to identify nodal metastatic disease was 100% (95% confidence interval [CI] 31.0–100), with an NPV and FN rate of 100% (95% CI 95.1–100) and 0%, respectively. In high-risk endometrial cancers, the sensitivity, NPV, and FN rate were 20% (95% CI 1.0–70.1), 83.3% (95% CI 61.8–94.5), and 80%, respectively. Conclusion: Cervical injection of ICG and SLN mapping yielded a low sensitivity and a high FN rate for the identification of node metastasis in endometrial cancer with high-risk histologies. Implications for Practice: The efficacy of sentinel lymph node (SLN) mapping for high-risk endometrial cancer remains unclear. This study enrolled 131 patients with early-stage endometrial cancer who underwent cervical injection of indocyanine green SLN mapping followed by systematic pelvic lymphadenectomy and para-aortic lymphadenectomy. The key result was that SLN mapping yielded a low sensitivity and a high false-negative rate for the identification of node metastasis in endometrial cancer with high-risk histologies. The SLN strategy in these patients may increase the risk of missed diagnosis of isolated para-aortic node metastases and seems to be unacceptable in clinical practice.

References Powered by Scopus

Cancer statistics in China, 2015

16885Citations
N/AReaders
Get full text

Cancer Statistics, 2017

14483Citations
N/AReaders
Get full text

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

0
1610Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Sentinel lymph node biopsy in high-grade endometrial cancer: a systematic review and meta-analysis of performance characteristics

51Citations
N/AReaders
Get full text

Current Approaches to the Management of Patients with Endometrial Cancer

37Citations
N/AReaders
Get full text

Sentinel Lymph Node Mapping in Endometrial Cancer: A Comprehensive Review

31Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Ye, L., Li, S., Lu, W., He, Q., Li, Y., Li, B., … Wan, X. (2019). A Prospective Study of Sentinel Lymph Node Mapping for Endometrial Cancer: Is It Effective in High-Risk Subtypes? The Oncologist, 24(12), e1381–e1387. https://doi.org/10.1634/theoncologist.2019-0113

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 15

75%

Researcher 3

15%

Professor / Associate Prof. 2

10%

Readers' Discipline

Tooltip

Medicine and Dentistry 20

87%

Philosophy 1

4%

Chemistry 1

4%

Engineering 1

4%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 1

Save time finding and organizing research with Mendeley

Sign up for free