A Prediction Model for Preoperative Risk Assessment in Endometrial Cancer Utilizing Clinical and Molecular Variables

A Prediction Model for Preoperative Risk Assessment in Endometrial Cancer Utilizing Clinical and Molecular Variables

The utility of comprehensive surgical staging in patients with low risk disease has been questioned. Thus, a reliable means of determining risk would be quite useful. The aim of our study was to create the best performing prediction model to classify endometrioid endometrial cancer (EEC) patients in...

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Bibliographic Details
Main Authors: Erin A. Salinas, Marina D. Miller, Andreea M. Newtson, Deepti Sharma, Megan E. McDonald, Matthew E. Keeney, Brian J. Smith, David P. Bender, Michael J. Goodheart, Kristina W. Thiel, Eric J. Devor, Kimberly K. Leslie, Jesus Gonzalez Bosquet
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:International Journal of Molecular Sciences
Subjects:
endometrial cancer
prediction models
high risk
integration of data
clinical outcomes
Online Access:http://www.mdpi.com/1422-0067/20/5/1205

Internet

http://www.mdpi.com/1422-0067/20/5/1205

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