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Ovarian cancer think tank: An overview of the current status of ovarian cancer screening and recommendations for future directions

Dexter, JM; Brubaker, LW; Bitler, BG; Goff, BA; Menon, U; Moore, KN; Sundaram, KM; ... Behbakht, K; + view all (2024) Ovarian cancer think tank: An overview of the current status of ovarian cancer screening and recommendations for future directions. Gynecologic Oncology Reports , 53 , Article 101376. 10.1016/j.gore.2024.101376. (In press). Green open access

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Abstract

Early diagnosis and screening of ovarian cancer remain significant challenges to improving patient outcomes. There is an urgent need to implement both established and modern strategies to address the “early detection” conundrum, especially as new research continues to uncover the complexities of the disease. The discussion provided is the result of a unique research conference focused on reviewing early detection modalities and providing insight into future approaches.

Type: Article
Title: Ovarian cancer think tank: An overview of the current status of ovarian cancer screening and recommendations for future directions
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.gore.2024.101376
Publisher version: http://dx.doi.org/10.1016/j.gore.2024.101376
Language: English
Additional information: © 2024 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Artificial intelligence, Early detection, Prevention, Screening, Tubo-ovarian malignancy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10190801
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