Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8780691 | Gynecologic Oncology | 2018 | 7 Pages |
Abstract
We developed and validated a prediction model for R0 that offers improved performance over previously reported models for prediction of residual disease. The performance of the prediction model suggests additional factors (i.e. imaging, molecular profiling, etc.) should be explored in the future for a more clinically actionable tool.
Keywords
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Authors
Neil S. Horowitz, G. Larry Maxwell, Austin Miller, Chad A. Hamilton, Bunja Rungruang, Noah Rodriguez, Scott D. Richard, Thomas C. Krivak, Jeffrey M. Fowler, David G. Mutch, Linda Van Le, Roger B. Lee, Peter Argenta, David Bender, Krishnansu S. Tewari,