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  5. ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors
 
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ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors
File(s)
ESGOISUOGIOTAESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.pdf (2.7 MB)
Published version
Author(s)
Timmerman, Dirk
Planchamp, Francois
Bourne, Tom
Landolfo, Chiara
du Bois, Andreas
more
Type
Journal Article
Abstract
The European Society of Gynaecological Oncology (ESGO), the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), the International Ovarian Tumour Analysis (IOTA) group, and the European Society for Gynaecological Endoscopy (ESGE) jointly developed clinically relevant and evidence-based statements on the pre-operative diagnosis of ovarian tumors, including imaging techniques, biomarkers, and prediction models. ESGO/ISUOG/IOTA/ESGE nominated a multidisciplinary international group, including expert practising clinicians and researchers who have demonstrated leadership and expertise in the pre-operative diagnosis of ovarian tumors and management of patients with ovarian cancer (19 experts across Europe). A patient representative was also included in the group. To ensure that the statements were evidence-based, the current literature was reviewed and critically appraised. Preliminary statements were drafted based on the review of the relevant literature. During a conference call, the whole group discussed each preliminary statement and a first round of voting was carried out. Statements were removed when a consensus among group members was not obtained. The voters had the opportunity to provide comments/suggestions with their votes. The statements were then revised accordingly. Another round of voting was carried out according to the same rules to allow the whole group to evaluate the revised version of the statements. The group achieved consensus on 18 statements. This Consensus Statement presents these ESGO/ISUOG/IOTA/ESGE statements on the pre-operative diagnosis of ovarian tumors and the assessment of carcinomatosis, together with a summary of the evidence supporting each statement.
Date Issued
2021-07-01
Date Acceptance
2021-03-08
Citation
International Journal of Gynecological Cancer, 2021, 31 (7), pp.961-982
URI
http://hdl.handle.net/10044/1/92076
URL
https://ijgc.bmj.com/content/31/7/961
DOI
https://www.dx.doi.org/10.1136/ijgc-2021-002565
ISSN
1048-891X
Publisher
BMJ Publishing Group
Start Page
961
End Page
982
Journal / Book Title
International Journal of Gynecological Cancer
Volume
31
Issue
7
Copyright Statement
© IGCS and ESGO 2021. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, an indication of whether changes were made, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
License URL
http://creativecommons.org/licenses/by-nc/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000672330600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Oncology
Obstetrics & Gynecology
ovarian neoplasms
ovary
IOTA SIMPLE RULES
MULTICENTER EXTERNAL VALIDATION
MALIGNANCY ALGORITHM ROMA
EPIDIDYMIS PROTEIN 4
SUBOPTIMAL CYTOREDUCTIVE SURGERY
PERITONEAL CARCINOMATOSIS INDEX
LOGISTIC-REGRESSION MODEL
COMPUTED-TOMOGRAPHY SCANS
ADNEXAL MASSES
ULTRASOUND CHARACTERISTICS
Publication Status
Published
Date Publish Online
2021-06-10
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