The use of sonographic subjective tumor assessment, IOTA logistic regression model 1, IOTA Simple Rules and GI-RADS system in the preoperative prediction of malignancy in women with adnexal masses.
Ginekol Pol
; 88(12): 647-653, 2017.
Article
em En
| MEDLINE
| ID: mdl-29303221
ABSTRACT
BACKGROUND:
Sonography based methods with various tumor markers are currently used to discriminate the type of adnexal masses.OBJECTIVE:
To compare the predictive value of selected sonography-based models along with subjective assessment in ovarian cancer prediction. MATERIAL ANDMETHODS:
We analyzed data of 271 women operated because of adnexal masses. All masses were verified by histological examination. Preoperative sonography was performed in all patients and various predictive models includ¬ing IOTA group logistic regression model LR1 (LR1), IOTA simple ultrasound-based rules by IOTA (SR), GI-RADS and risk of malignancy index (RMI3) were used. ROC curves were constructed and respective AUC's with 95% CI's were compared.RESULTS:
Of 271 masses 78 proved to be malignant including 6 borderline tumors. LR1 had sensitivity of 91.0%, specificity of 91.2%, AUC = 0.95 (95% CI 0.92-0.98). Sensitivity for GI-RADS for 271 patients was 88.5% with specificity of 85% and AUC = 0.91 (95% CI 0.88-0.95). Subjective assessment yielded sensitivity and specificity of 85.9% and 96.9%, respectively with AUC = 0.97 (95% CI 0.94-0.99). SR were applicable in 236 masses and had sensitivity of 90.6% with specificity of 95.3% and AUC = 0.93 (95% CI 0.89-0.97). RMI3 was calculated only in 104 women who had CA125 available and had sensitivity of 55.3%, specificity of 94% and AUC = 0.85 (95% CI 0.77-0.93).CONCLUSIONS:
Although subjective assessment by the ultrasound expert remains the best current method of adnexal tumors preoperative discrimination, the simplicity and high predictive value favor the IOTA SR method, and when not applicable, the IOTA LR1 or GI-RADS models to be primarily and effectively used.Palavras-chave
Texto completo:
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Bases de dados:
MEDLINE
Assunto principal:
Neoplasias Ovarianas
/
Modelos Logísticos
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Ultrassonografia Doppler em Cores
/
Neoplasias das Tubas Uterinas
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
Idioma:
En
Revista:
Ginekol Pol
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Polônia