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Risk of ovarian cancer relapse score: A prognostic algorithm to predict relapse following treatment for advanced ovarian cancer

Abstract:

Objective: The aim of this study was to construct a prognostic index that predicts risk of relapse in women who have completed first-line treatment for ovarian cancer (OC). Methods: A database of OC cases from 2000 to 2010 was interrogated for International Federation of Gynecology and Obstetrics stage, grade and histological subtype of cancer, preoperative and posttreatment CA-125 level, presence or absence of residual disease after cytoreductive surgery and on postchemotherapy computed tomo...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1097/IGC.0000000000000361

Authors


Rizzuto, I More by this author
Stavraka, C More by this author
Chatterjee, J More by this author
Hopkins, TG More by this author
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Publisher:
Lippincott, Williams and Wilkins Publisher's website
Journal:
International Journal of Gynecological Cancer Journal website
Volume:
25
Issue:
3
Pages:
416-422
Publication date:
2015
DOI:
EISSN:
1525-1438
ISSN:
1048-891X
URN:
uuid:590d6880-054b-44ca-94b6-a1a8e753048f
Source identifiers:
535351
Local pid:
pubs:535351
Language:
English
Keywords:

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