Literature DB >> 21908724

A novel approach to predict the likelihood of specific ovarian tumor pathology based on serum CA-125: a multicenter observational study.

Ben Van Calster1, Lil Valentin, Caroline Van Holsbeke, Jing Zhang, Davor Jurkovic, Andrea Alberto Lissoni, Antonia Carla Testa, Artur Czekierdowski, Daniela Fischerová, Ekaterini Domali, Gregg Van de Putte, Ignace Vergote, Sabine Van Huffel, Tom Bourne, Dirk Timmerman.   

Abstract

BACKGROUND: The CA-125 tumor marker has limitations when used to distinguish between benign and malignant ovarian masses. We therefore establish likelihood curves of six subgroups of ovarian pathology based on CA-125 and menopausal status.
METHODS: This cross-sectional study conducted by the International Ovarian Tumor Analysis group involved 3,511 patients presenting with a persistent adnexal mass that underwent surgical intervention. CA-125 distributions for six tumor subgroups (endometriomas and abscesses, other benign tumors, borderline tumors, stage I invasive cancers, stage II-IV invasive cancers, and metastatic tumors) were estimated using kernel density estimation with stratification for menopausal status. Likelihood curves for the tumor subgroups were derived from the distributions.
RESULTS: Endometriomas and abscesses were the only benign pathologies with median CA-125 levels above 20 U/mL (43 and 45, respectively). Borderline and invasive stage I tumors had relatively low median CA-125 levels (29 and 81 U/mL, respectively). The CA-125 distributions of stage II-IV invasive cancers and benign tumors other than endometriomas or abscesses were well separated; the distributions of the other subgroups overlapped substantially. This held for premenopausal and postmenopausal patients. Likelihood curves and reference tables comprehensibly show how subgroup likelihoods change with CA-125 and menopausal status. CONCLUSIONS AND IMPACT: Our results confirm the limited clinical value of CA-125 for preoperative discrimination between benign and malignant ovarian pathology. We have shown that CA-125 may be used in a different way. By using likelihood reference tables, we believe clinicians will be better able to interpret preoperative serum CA-125 results in patients with adnexal masses.
© 2011 AACR.

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Year:  2011        PMID: 21908724     DOI: 10.1158/1055-9965.EPI-11-0422

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  10 in total

1.  Assessing the discriminative ability of risk models for more than two outcome categories.

Authors:  Ben Van Calster; Yvonne Vergouwe; Caspar W N Looman; Vanya Van Belle; Dirk Timmerman; Ewout W Steyerberg
Journal:  Eur J Epidemiol       Date:  2012-10-07       Impact factor: 8.082

Review 2.  Practical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumors.

Authors:  B Van Calster; K Van Hoorde; W Froyman; J Kaijser; L Wynants; C Landolfo; C Anthoulakis; I Vergote; T Bourne; D Timmerman
Journal:  Facts Views Vis Obgyn       Date:  2015

3.  Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study.

Authors:  Ben Van Calster; Kirsten Van Hoorde; Lil Valentin; Antonia C Testa; Daniela Fischerova; Caroline Van Holsbeke; Luca Savelli; Dorella Franchi; Elisabeth Epstein; Jeroen Kaijser; Vanya Van Belle; Artur Czekierdowski; Stefano Guerriero; Robert Fruscio; Chiara Lanzani; Felice Scala; Tom Bourne; Dirk Timmerman
Journal:  BMJ       Date:  2014-10-15

4.  A preliminary study: The sequential use of the risk malignancy index and contrast-enhanced ultrasonography in differential diagnosis of adnexal masses.

Authors:  Li Qiu; Fan Yang; Hong Luo
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

5.  Development and validation of a model that includes two ultrasound parameters and the plasma D-dimer level for predicting malignancy in adnexal masses: an observational study.

Authors:  Maciej Stukan; Michał Badocha; Karol Ratajczak
Journal:  BMC Cancer       Date:  2019-06-11       Impact factor: 4.430

Review 6.  CA125 and Ovarian Cancer: A Comprehensive Review.

Authors:  Parsa Charkhchi; Cezary Cybulski; Jacek Gronwald; Fabian Oliver Wong; Steven A Narod; Mohammad R Akbari
Journal:  Cancers (Basel)       Date:  2020-12-11       Impact factor: 6.639

7.  Preoperative Nomogram for Differentiation of Histological Subtypes in Ovarian Cancer Based on Computer Tomography Radiomics.

Authors:  Haiyan Zhu; Yao Ai; Jindi Zhang; Ji Zhang; Juebin Jin; Congying Xie; Huafang Su; Xiance Jin
Journal:  Front Oncol       Date:  2021-03-25       Impact factor: 6.244

8.  Multicentre external validation of IOTA prediction models and RMI by operators with varied training.

Authors:  A Sayasneh; L Wynants; J Preisler; J Kaijser; S Johnson; C Stalder; R Husicka; Y Abdallah; F Raslan; A Drought; A A Smith; S Ghaem-Maghami; E Epstein; B Van Calster; D Timmerman; T Bourne
Journal:  Br J Cancer       Date:  2013-05-14       Impact factor: 7.640

9.  Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.

Authors:  A Testa; J Kaijser; L Wynants; D Fischerova; C Van Holsbeke; D Franchi; L Savelli; E Epstein; A Czekierdowski; S Guerriero; R Fruscio; F P G Leone; I Vergote; T Bourne; L Valentin; B Van Calster; D Timmerman
Journal:  Br J Cancer       Date:  2014-06-17       Impact factor: 7.640

10.  Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods.

Authors:  E M J Meys; L S Jeelof; N M J Achten; B F M Slangen; S Lambrechts; R F P M Kruitwagen; T Van Gorp
Journal:  Ultrasound Obstet Gynecol       Date:  2017-06       Impact factor: 7.299

  10 in total

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