Preoperative measurement of serum C-reactive protein : is it useful in the differential diagnosis of adnexal masses?
Autor: | Yoshida, Adriana, 1975, Derchain, Sophie Françoise Mauricette, 1959, Moraes, Denise da Rocha Pitta Lima de, 1961, Crozatti, Nathália Lonardoni, Andrade, Liliana Aparecida Lucci de Angelo, 1951, Silva, Rodrigo Fernandes da, 1984, Sarian, Luís Otávio Zanatta, 1974 |
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Přispěvatelé: | UNIVERSIDADE ESTADUAL DE CAMPINAS |
Rok vydání: | 2016 |
Předmět: | |
Zdroj: | Repositório Institucional da Unicamp Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP Repositório da Produção Científica e Intelectual da Unicamp |
Popis: | Serum biomarkers may help to discriminate malignant from benign adnexal masses with equivocal features on imaging. Adequate discrimination of such tumors is crucial for referring patients to either a specialized cancer center or a nonspecialized gynecology service. We aimed to investigate whether the preoperative level of serum C-reactive protein (CRP), alone or combined with CA125 and menopausal status in the Ovarian Score (OVS), is useful in the prediction of malignancy in women with ovarian tumors. This cross-sectional study included 293 patients who underwent surgery in a tertiary cancer center. Receiver operating characteristic (ROC) areas under the curves (AUC) for CRP, CA125 and OVS were calculated in different scenarios, as well as their sensitivity and specificity, using standard cutoff points (for CRP, 10 mg/L; for CA125, 35 U/mL). CA125 and the OVS performed significantly better than CRP alone in the differentiation of benign disease from epithelial ovarian cancer (EOC) (AUC = 0.86 for CA125, 0.79 for OVS, and 0.73 for CRP). OVS and CRP alone were superior to CA125 only in the differentiation of borderline ovarian tumors from advanced stages of EOC and non-EOC. Sensitivity and specificity were 52.5% and 83%, respectively, for CRP, 77.9% and 66.7% for CA125, and 71.3% and 67.8% for OVS FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP Fechado |
Databáze: | OpenAIRE |
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