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A Risk-Scoring Model for the Prediction of Endometrial Cancer among Symptomatic Postmenopausal Women with Endometrial Thickness > 4 mm
Joint Authors
Cerami, Lillo Bruno
Setti, Tiziano
Bergamini, Ezio
Mfuta, Kabala
Giannella, Luca
Boselli, Fausto
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Objective.
To develop and test a risk-scoring model for the prediction of endometrial cancer among symptomatic postmenopausal women at risk of intrauterine malignancy.
Methods.
We prospectively studied 624 postmenopausal women with vaginal bleeding and endometrial thickness > 4 mm undergoing diagnostic hysteroscopy.
Patient characteristics and endometrial assessment of women with or without endometrial cancer were compared.
Then, a risk-scoring model, including the best predictors of endometrial cancer, was tested.
Univariate, multivariate, and ROC curve analysis were performed.
Finally, a split-sampling internal validation was also performed.
Results.
The best predictors of endometrial cancer were recurrent vaginal bleeding (odds ratio (OR)=2.96), the presence of hypertension (OR=2.01) endometrial thickness > 8 mm (OR=1.31), and age > 65 years (OR=1.11).
These variables were used to create a risk-scoring model (RHEA risk-model) for the prediction of intrauterine malignancy, with an area under the curve of 0.878 (95% CI 0.842 to 0.908; P<0.0001).
At the best cut-off value (score ≥ 4), sensitivity and specificity were 87.5% and 80.1%, respectively.
Conclusion.
Among symptomatic postmenopausal women with endometrial thickness > 4 mm, a risk-scoring model including patient characteristics and endometrial thickness showed a moderate diagnostic accuracy in discriminating women with or without endometrial cancer.
Based on this model, a decision algorithm was developed for the management of such a population.
American Psychological Association (APA)
Giannella, Luca& Mfuta, Kabala& Setti, Tiziano& Cerami, Lillo Bruno& Bergamini, Ezio& Boselli, Fausto. 2014. A Risk-Scoring Model for the Prediction of Endometrial Cancer among Symptomatic Postmenopausal Women with Endometrial Thickness > 4 mm. BioMed Research International،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-448093
Modern Language Association (MLA)
Giannella, Luca…[et al.]. A Risk-Scoring Model for the Prediction of Endometrial Cancer among Symptomatic Postmenopausal Women with Endometrial Thickness > 4 mm. BioMed Research International No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-448093
American Medical Association (AMA)
Giannella, Luca& Mfuta, Kabala& Setti, Tiziano& Cerami, Lillo Bruno& Bergamini, Ezio& Boselli, Fausto. A Risk-Scoring Model for the Prediction of Endometrial Cancer among Symptomatic Postmenopausal Women with Endometrial Thickness > 4 mm. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-448093
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448093