Literature DB >> 26598977

Nomogram to Predict Risk of Lymph Node Metastases in Patients With Endometrioid Endometrial Cancer.

Erqi L Pollom1, Christopher M J Conklin, Rie von Eyben, Ann K Folkins, Elizabeth A Kidd.   

Abstract

Pelvic lymphadenectomy in early-stage endometrial cancer is controversial, but the findings influence prognosis and treatment decisions. Noninvasive tools to identify women at high risk of lymph node metastasis can assist in determining the need for lymph node dissection and adjuvant treatment for patients who do not have a lymph node dissection performed initially. A retrospective review of surgical pathology was conducted for endometrioid endometrial adenocarcinoma at our institution. Univariate and multivariate logistic regression analysis of selected pathologic features were performed. A nomogram to predict for lymph node metastasis was constructed. From August 1996 to October 2013, 296 patients underwent total abdominal or laparoscopic hysterectomy, bilateral salpingo-oophorectomy, and selective lymphadenectomy for endometrioid endometrial adenocarcinoma. Median age at surgery was 62.7 yr (range, 24.9-93.6 yr). Median number of lymph nodes removed was 13 (range, 1-72). Of all patients, 38 (12.8%) had lymph node metastases. On univariate analysis, tumor size ≥4 cm, grade, lymphovascular space involvement, cervical stromal involvement, adnexal or serosal or parametrial involvement, positive pelvic washings, and deep (more than one half) myometrial invasion were all significantly associated with lymph node involvement. In a multivariate model, lymphovascular space involvement, deep myometrial invasion, and cervical stromal involvement remained significant predictors of nodal involvement, whereas tumor size of ≥4 cm was borderline significant. A lymph node predictive nomogram was constructed using these factors. Our nomogram can help estimate risk of nodal disease and aid in directing the need for additional surgery or adjuvant therapy in patients without lymph node surgery. Lymphovascular space involvement is the most important predictor for lymph node metastases, regardless of grade, and should be consistently assessed.

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Year:  2016        PMID: 26598977     DOI: 10.1097/PGP.0000000000000246

Source DB:  PubMed          Journal:  Int J Gynecol Pathol        ISSN: 0277-1691            Impact factor:   2.762


  8 in total

1.  Extent of lymphovascular space invasion may predict lymph node metastasis in uterine serous carcinoma.

Authors:  Yushen Qian; Erqi L Pollom; Chika Nwachukwu; Kira Seiger; Rie von Eyben; Ann K Folkins; Elizabeth A Kidd
Journal:  Gynecol Oncol       Date:  2017-07-11       Impact factor: 5.482

2.  Association of Tumor Size With Myometrial Invasion, Lymphovascular Space Invasion, Lymph Node Metastasis, and Recurrence in Endometrial Cancer: A Meta-Analysis of 40 Studies With 53,276 Patients.

Authors:  Xiaoying Jin; Chunjuan Shen; Xiaodi Yang; Yayuan Yu; Jianzhang Wang; Xuan Che
Journal:  Front Oncol       Date:  2022-06-02       Impact factor: 5.738

Review 3.  American Brachytherapy Task Group Report: Adjuvant vaginal brachytherapy for early-stage endometrial cancer: A comprehensive review.

Authors:  Matthew M Harkenrider; Alec M Block; Kaled M Alektiar; David K Gaffney; Ellen Jones; Ann Klopp; Akila N Viswanathan; William Small
Journal:  Brachytherapy       Date:  2016-05-31       Impact factor: 2.362

4.  Development and validation of predictive model for lymph node metastasis in endometrial cancer: a SEER analysis.

Authors:  Xingchen Li; Yuan Cheng; Yangyang Dong; Jingyi Zhou; Zhiqi Wang; Xiaoping Li; Jianliu Wang
Journal:  Ann Transl Med       Date:  2021-04

5.  A novel model to estimate lymph node metastasis in endometrial cancer patients.

Authors:  Cristina Anton; Alexandre Silva E Silva; Edmund Chada Baracat; Nasuh Utku Dogan; Christhardt Köhler; Jesus Paula Carvalho; Giovanni Mastrantonio di Favero
Journal:  Clinics (Sao Paulo)       Date:  2017-01-01       Impact factor: 2.365

6.  A nomogram prediction model for lymph node metastasis in endometrial cancer patients.

Authors:  Zhiling Wang; Shuo Zhang; Yifei Ma; Wenhui Li; Jiguang Tian; Ting Liu
Journal:  BMC Cancer       Date:  2021-06-29       Impact factor: 4.430

7.  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

8.  An Externally Validated Nomogram for Predicting Lymph Node Metastasis of Presumed Stage I and II Endometrial Cancer.

Authors:  Yangyang Dong; Yuan Cheng; Wenjuan Tian; Hua Zhang; Zhiqi Wang; Xiaoping Li; Boer Shan; Yulan Ren; Lihui Wei; Huaying Wang; Jianliu Wang
Journal:  Front Oncol       Date:  2019-11-14       Impact factor: 6.244

  8 in total

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