Literature DB >> 29557824

Comparison of Mayo and Milwaukee Risk Stratification Models for Predicting Lymph Node Metastasis in Endometrial Cancer.

Gokhan Boyraz1, Fatma Oz Atalay2, Mehmet Coskun Salman3, Alp Usubutun4, Anil Erturk3, Murat Gultekin3, Nejat Ozgul3, Kunter Yuce5.   

Abstract

OBJECTIVE: The aim of this study was to compare Mayo and Milwaukee risk stratification models for predicting lymphatic dissemination in patients with endometrial cancer (EC).
METHODS: A total of 904 patients with EC underwent surgical treatment between 2004 and 2016 at Hacettepe University Hospital, and clinicopathological data of patients were retrieved from the computerized database of the Hacettepe University. Patients who did not undergo lymphadenectomy and who had nonendometrioid histology, stage-IV disease, and synchronous epithelial ovarian and EC were excluded. All slides of the cases were reviewed by the same gynecologic pathology subspecialist.
RESULTS: The study group consisted of 307 consecutive patients with a mean age of 59.4 years (range, 26-86 years). Lymph node metastasis was detected in 28 subjects (9.1%). Primary tumor diameter, depth of myometrial invasion, lymphovascular space invasion, and cervical stromal and glandular involvement were associated with lymph node metastasis. Patients with low-risk histological features based on Mayo risk stratification system in our study group had a 0% rate of lymph node positivity. However, of the 28 patients with lymph node metastasis, 3 (10.7%) had low-risk features based on Milwaukee model. The sensitivity, specificity, false negative rate (FNR) and false positive rate of Mayo and Milwaukee risk stratification models for predicting lymphatic dissemination among women with endometrioid EC were 100%, 27.3%, 0%, and 72.7%; and 89.3%, 61.3%, 10.7%, and 38.7%, respectively.
CONCLUSIONS: Although Milwaukee risk stratification model had a lower false positive rate and can decrease the number of lymphadenectomies, FNR of this new model was found as 10.7% in the present study. Furthermore, we found that Mayo model had a lower FNR and higher sensitivity. Therefore, Mayo model still looks more beneficial to predict lymph node metastasis in patients with endometrioid EC and Milwaukee risk stratification model still requires external validation.

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Year:  2018        PMID: 29557824     DOI: 10.1097/IGC.0000000000001261

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  6 in total

1.  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

2.  Analysis of Factors Related to Lymph Node Metastasis in Early-Stage Type 1 Endometrial Cancer: Verifying the Clinical Value of Positive Threshold of the Immunohistochemical Parameter Ki67.

Authors:  Peng Jiang; Rui Yuan
Journal:  Cancer Manag Res       Date:  2021-08-10       Impact factor: 3.989

3.  Combining Clinicopathological Parameters and Molecular Indicators to Predict Lymph Node Metastasis in Endometrioid Type Endometrial Adenocarcinoma.

Authors:  Peng Jiang; Yuzhen Huang; Yuan Tu; Ning Li; Wei Kong; Feiyao Di; Shan Jiang; Jingni Zhang; Qianlin Yi; Rui Yuan
Journal:  Front Oncol       Date:  2021-08-04       Impact factor: 6.244

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.  Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer.

Authors:  Kristine E Fasmer; Ankush Gulati; Julie A Dybvik; Sigmund Ytre-Hauge; Øyvind Salvesen; Jone Trovik; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Eur Radiol       Date:  2020-02-07       Impact factor: 5.315

6.  Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: An NRG Oncology/Gynecologic Oncology Group Study.

Authors:  Yovanni Casablanca; Guisong Wang; Heather A Lankes; Chunqiao Tian; Nicholas W Bateman; Caela R Miller; Nicole P Chappell; Laura J Havrilesky; Amy Hooks Wallace; Nilsa C Ramirez; David S Miller; Julie Oliver; Dave Mitchell; Tracy Litzi; Brian E Blanton; William J Lowery; John I Risinger; Chad A Hamilton; Neil T Phippen; Thomas P Conrads; David Mutch; Katherine Moxley; Roger B Lee; Floor Backes; Michael J Birrer; Kathleen M Darcy; George Larry Maxwell
Journal:  Cancers (Basel)       Date:  2022-08-23       Impact factor: 6.575

  6 in total

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