Imperial College London
Alternate

Professor Tom Bourne

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Gynaecology
 
 
 
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Contact

 

+44 (0)20 3313 5131t.bourne Website

 
 
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Location

 

Early pregnancy and acute gynaecologyInstitute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Timmerman:2016:10.1016/j.ajog.2016.01.007,
author = {Timmerman, D and Van, Calster B and Testa, A and Savelli, L and Fischerova, D and Froyman, W and Wynants, L and Van, Holsbeke C and Epstein, E and Franchi, D and Kaijser, J and Czekierdowski, A and Guerriero, S and Fruscio, R and Leone, FP and Rossi, A and Landolfo, C and Vergote, I and Bourne, T and Valentin, L},
doi = {10.1016/j.ajog.2016.01.007},
journal = {American Journal of Obstetrics and Gynecology},
pages = {424--437},
title = {Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group},
url = {http://dx.doi.org/10.1016/j.ajog.2016.01.007},
volume = {214},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Accurate methods to preoperatively characterize adnexal tumors are pivotal for optimal patient management. A recent metaanalysis concluded that the International Ovarian Tumor Analysis algorithms such as the Simple Rules are the best approaches to preoperatively classify adnexal masses as benign or malignant. OBJECTIVE: We sought to develop and validate a model to predict the risk of malignancy in adnexal masses using the ultrasound features in the Simple Rules. STUDY DESIGN: This was an international cross-sectional cohort study involving 22 oncology centers, referral centers for ultrasonography, and general hospitals. We included consecutive patients with an adnexal tumor who underwent a standardized transvaginal ultrasound examination and were selected for surgery. Data on 5020 patients were recorded in 3 phases from 2002 through 2012. The 5 Simple Rules features indicative of a benign tumor (B-features) and the 5 features indicative of malignancy (M-features) are based on the presence of ascites, tumor morphology, and degree of vascularity at ultrasonography. Gold standard was the histopathologic diagnosis of the adnexal mass (pathologist blinded to ultrasound findings). Logistic regression analysis was used to estimate the risk of malignancy based on the 10 ultrasound features and type of center. The diagnostic performance was evaluated by area under the receiver operating characteristic curve, sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), positive predictive value (PPV), negative predictive value (NPV), and calibration curves. RESULTS: Data on 4848 patients were analyzed. The malignancy rate was 43% (1402/3263) in oncology centers and 17% (263/1585) in other centers. The area under the receiver operating characteristic curve on validation data was very similar in oncology centers (0.917; 95% confidence interval, 0.901-0.931) and other centers (0.916; 95% confidence interval, 0.873-0.945). Risk estimates
AU  - Timmerman,D
AU  - Van,Calster B
AU  - Testa,A
AU  - Savelli,L
AU  - Fischerova,D
AU  - Froyman,W
AU  - Wynants,L
AU  - Van,Holsbeke C
AU  - Epstein,E
AU  - Franchi,D
AU  - Kaijser,J
AU  - Czekierdowski,A
AU  - Guerriero,S
AU  - Fruscio,R
AU  - Leone,FP
AU  - Rossi,A
AU  - Landolfo,C
AU  - Vergote,I
AU  - Bourne,T
AU  - Valentin,L
DO  - 10.1016/j.ajog.2016.01.007
EP  - 437
PY  - 2016///
SN  - 1097-6868
SP  - 424
TI  - Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group
T2  - American Journal of Obstetrics and Gynecology
UR  - http://dx.doi.org/10.1016/j.ajog.2016.01.007
UR  - https://www.ajog.org/article/S0002-9378(16)00009-0/fulltext
UR  - http://hdl.handle.net/10044/1/30100
VL  - 214
ER  -
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