Models to predict outcomes after primary debulking surgery: Independent validation of models to predict suboptimal cytoreduction and gross residual disease-Reference-Cited by-同舟云学术

Models to predict outcomes after primary debulking surgery: Independent validation of models to predict suboptimal cytoreduction and gross residual disease

Published:2019-07 Issue:1 Volume:154 Page:72-76
ISSN:0090-8258
Container-title:Gynecologic Oncology
language:en
Short-container-title:Gynecologic Oncology

Author:

Kumar Amanika,Sheedy Shannon,Kim Bohyun,Suidan Rudy,Sarasohn Debra M.,Nikolovski Ines,Lakhman Yulia,McGree Michaela E.,Weaver Amy L.,Chi Dennis,Cliby William A.

Funder

NIH

NCI

Publisher

Elsevier BV

Subject

Obstetrics and Gynaecology,Oncology

Reference18 articles.

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4. Definition of a dynamic laparoscopic model for the prediction of incomplete cytoreduction in advanced epithelial ovarian cancer: proof of a concept;Petrillo;Gynecol. Oncol.,2015

5. Laparoscopy to predict the result of primary cytoreductive surgery in patients with advanced ovarian cancer: a randomized controlled trial;Rutten;J. Clin. Oncol.,2017

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3. Validation of models in predicting residual disease in ovarian cancer: comparing CT urography with PET/CT;Acta Radiologica;2023-04-09

4. Validation of the Integrated Prediction Model algorithm for outcome of cytoreduction in advanced ovarian cancer;International Journal of Gynecologic Cancer;2023-04-04

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