Nomogram to Predict the Probability of Relapse in Patients Diagnosed With Borderline Ovarian Tumors

Andreas Obermair; Amy Tang; Srinivas Kondalsamy–Chennakesavan; Hextan Ngan; Petra Zusterzeel; Michael Quinn; Jonathan Carter; Yee Leung; Monika Janda

doi:10.1097/IGC.0b013e31827b8844

Article info

Ovarian Cancer

Nomogram to Predict the Probability of Relapse in Patients Diagnosed With Borderline Ovarian Tumors

Authors

Andreas Obermair Queensland Centre for Gynaecological Cancer, Royal Brisbane& Women’s Hospital;University of Queensland, Brisbane, Australia; PubMed articles Google scholar articles
Amy Tang Queensland Centre for Gynaecological Cancer, Royal Brisbane& Women’s Hospital; PubMed articles Google scholar articles
Srinivas Kondalsamy–Chennakesavan University of Queensland, Brisbane, Australia; PubMed articles Google scholar articles
Hextan Ngan Queen Mary Hospital, Hong Kong; PubMed articles Google scholar articles
Petra Zusterzeel Radboud University Medical Centre, Nijmegen, The Netherlands; PubMed articles Google scholar articles
Michael Quinn Royal Women’s Hospital Melbourne; PubMed articles Google scholar articles
Jonathan Carter Royal Prince Alfred Hospital, Sydney; PubMed articles Google scholar articles
Yee Leung School of Women’s and Infants’ Health, University of Western Australia, Perth; and PubMed articles Google scholar articles
Monika Janda School of Public Health, Queensland University of Technology, Brisbane, Australia. PubMed articles Google scholar articles

Address correspondence and reprint requests to Andreas Obermair, MD, FRANZCOG, CGO, School of Medicine, The University of Queensland, Brisbane, Royal Brisbane and Women’s Hospital, 6th Floor, Ned Hanlon Bldg, Butterfield St, Herston, QLD 4029, Australia. E-mail: Obermair@powerup.com.au.

Citation

Obermair A, Tang A, Kondalsamy–Chennakesavan S, et al

Nomogram to Predict the Probability of Relapse in Patients Diagnosed With Borderline Ovarian Tumors

International Journal of Gynecologic Cancer 2013;23:264-267.

Publication history

Received July 27, 2012
First published February 1, 2013.

Online issue publication

February 26, 2019

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