scholarly journals Implications of Isolated Para-Aortic Lymph Node Metastasis in Endometrial Cancer: A Large-Scale, Multicenter, and Retrospective Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Wenting Li ◽  
Jie Jiang ◽  
Yu Fu ◽  
Yuanming Shen ◽  
Chuyao Zhang ◽  
...  

Objective: To systematically evaluate lymph node metastasis (LNM) patterns in patients with endometrial cancer (EC) who underwent complete surgical staging, which included systematic pelvic and para-aortic lymphadenectomy.Methods: Four thousand and one patients who underwent complete surgical staging including systematic pelvic and para-aortic lymphadenectomy for EC were enrolled from 30 centers in China from 2001 to 2019. We systematically displayed the clinical and prognostic characteristics of patients with various LNM patterns, especially the PLN-PAN+ [para-aortic lymph node (PAN) metastasis without pelvic lymph node (PLN) metastasis]. The efficacy of PAN+ (para-aortic lymph node metastasis) prediction with clinical and pathological features was evaluated.Results: Overall, 431 of the 4,001 patients (10.8%) showed definite LNM according to pathological diagnosis. The PAN+ showed the highest frequency (6.6%) among all metastatic sites. One hundred fourteen cases (26.5%) were PLN-PAN+ (PAN metastasis without PLN metastasis), 167 cases (38.7%) showed PLN+PAN-(PLN metastasis without PAN metastasis), and 150 cases (34.8%) showed metastasis to both regions (PLN+PAN+). There was also 1.9% (51/2,660) of low-risk patients who had PLN-PAN+. There are no statistical differences in relapse-free survival (RFS) and disease-specific survival (DSS) among PLN+PAN-, PLN-PAN+, and PLN+PAN+. The sensitivity of gross PLNs, gross PANs, and lymphovascular space involvement (LVSI) to predict PAN+ was 53.8 [95% confidence interval (CI): 47.6–59.9], 74.2 95% CI: 65.6–81.4), and 45.8% (95% CI: 38.7–53.2), respectively.Conclusion: Over one-fourth of EC patients with LMN metastases were PLN-PAN+. PLN-PAN+ shares approximate survival outcomes (RFS and DSS) with other LNM patterns. No effective clinical methods were achieved for predicting PAN+. Thus, PLN-PAN+ is a non-negligible LNM pattern that cannot be underestimated in EC, even in low-risk patients.

2015 ◽  
Vol 112 (10) ◽  
pp. 1656-1664 ◽  
Author(s):  
T S Njølstad ◽  
◽  
J Trovik ◽  
T S Hveem ◽  
M L Kjæreng ◽  
...  

Author(s):  
Taner Turan ◽  
Deniz Hizli ◽  
Saynur Sarici ◽  
Nurettin Boran ◽  
Burcu Gundogdu ◽  
...  

2016 ◽  
Vol 141 (1) ◽  
pp. 155-159 ◽  
Author(s):  
Yukiharu Todo ◽  
Kazuhira Okamoto ◽  
Sho Takeshita ◽  
Satoko Sudo ◽  
Hidenori Kato

2017 ◽  
Vol 15 (4) ◽  
pp. 239-245
Author(s):  
Hussein Fakhry ◽  
◽  
Gamal Amira ◽  
Doaa Wadie ◽  
Anwar Tawfik Amin ◽  
...  

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Motoki Matsuura ◽  
Akimasa Takahashi ◽  
Hidetaka Nomura ◽  
Maki Matoda ◽  
Sanshiro Okamoto ◽  
...  

2012 ◽  
Vol 30 (12) ◽  
pp. 1329-1334 ◽  
Author(s):  
Sokbom Kang ◽  
Woo Dae Kang ◽  
Hyun Hoon Chung ◽  
Dae Hoon Jeong ◽  
Sang-Soo Seo ◽  
...  

Purpose The aim of this study was to develop a preoperative risk prediction model for lymph node metastasis in patients with endometrial cancer and to identify a low-risk group before surgery. Patients and Methods The medical records of 360 patients with endometrial cancer who underwent surgical staging were collected from four institutions and were retrospectively reviewed. By using serum CA-125 levels, preoperative biopsy data, and magnetic resonance imaging (MRI) data, a multivariate logistic model was created. Patients whose predicted probability was less than 4% were defined as low risk. The developed model was externally validated in 180 patients from two independent institutions. Results Serum CA-125 levels and three MRI parameters (deep myometrial invasion, lymph node enlargement, and extension beyond uterine corpus) were found to be independent risk factors for nodal metastasis. The model classified 53% of patients as part of a low-risk group, and the false negative rate was 1.7%. In the validation cohort, the model classified 43% of patients as low-risk, and the false negative rate was 1.4%. The model showed good discrimination (area under the receiver operator characteristic curve = 0.85) and was calibrated well. The negative likelihood ratio of our low-risk criteria was 0.11 (95% CI, 0.04 to 0.29), which was equivalent to the false-negative rate of 1.3% (95% CI, 0.5% to 3.3%) at the assumed prevalence of nodal metastasis of 10%. Conclusion Using serum CA-125 and MRI as criteria resulted in the accurate identification of a low-risk group for lymph node metastasis among patients with endometrial cancer.


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