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1.
Journal of Gynecologic Oncology ; : 46-53, 2015.
Artigo em Inglês | WPRIM | ID: wpr-27942

RESUMO

OBJECTIVE: The purpose of this study was to develop a risk prediction score for distinguishing benign ovarian mass from malignant tumors using CA-125, human epididymis protein 4 (HE4), ultrasound findings, and menopausal status. The risk prediction score was compared to the risk of malignancy index and risk of ovarian malignancy algorithm (ROMA). METHODS: This was a prospective, multicenter (n=6) study with patients from six Asian countries. Patients had a pelvic mass upon imaging and were scheduled to undergo surgery. Serum CA-125 and HE4 were measured on preoperative samples, and ultrasound findings were recorded. Regression analysis was performed and a risk prediction model was developed based on the significant factors. A bootstrap technique was applied to assess the validity of the HE4 model. RESULTS: A total of 414 women with a pelvic mass were enrolled in the study, of which 328 had documented ultrasound findings. The risk prediction model that contained HE4, menopausal status, and ultrasound findings exhibited the best performance compared to models with CA-125 alone, or a combination of CA-125 and HE4. This model classified 77.2% of women with ovarian cancer as medium or high risk, and 86% of women with benign disease as very-low, low, or medium-low risk. This model exhibited better sensitivity than ROMA, but ROMA exhibited better specificity. Both models performed better than CA-125 alone. CONCLUSION: Combining ultrasound with HE4 can improve the sensitivity for detecting ovarian cancer compared to other algorithms.


Assuntos
Adulto , Feminino , Humanos , Pessoa de Meia-Idade , Algoritmos , Biomarcadores Tumorais/sangue , Antígeno Ca-125/sangue , Técnicas de Apoio para a Decisão , Diagnóstico Diferencial , Menopausa , Neoplasias Ovarianas/diagnóstico , Valor Preditivo dos Testes , Estudos Prospectivos , Proteínas/análise , Curva ROC , Medição de Risco/métodos , Sensibilidade e Especificidade
2.
Journal of Gynecologic Oncology ; : 174-182, 2014.
Artigo em Inglês | WPRIM | ID: wpr-199536

RESUMO

OBJECTIVE: To evaluate uterine and ovarian cancer mortality trends in East Asian countries. METHODS: For three Asian countries and one region (Japan, Korea, Singapore, and Hong Kong), we extracted number of deaths for each year from the World Health Organization (WHO) mortality database, focusing on women > or =20 years old. The WHO population data were used to estimate person-years at risk for women. The annual age-standardized, truncated rates were evaluated for four age groups. We also compared age-specific mortality rates during three calendar periods (1979 to 1988, 1989 to 1998, and 1999 to 2010). Joinpoint regression was used to determine secular trends in mortality. To obtain cervical and uterine corpus cancer mortality rates in Korea, we re-allocated the cases with uterine cancer of unspecified subsite according to the proportion in the National Cancer Incidence Databases. RESULTS: Overall, uterine cancer mortality has decreased in each of the Asian regions. In Korea, corrected cervical cancer mortality has declined since 1993, at an annual percentage change (APC) of -4.8% (95% confidence interval [CI], -5.3 to -4.4). On the other hand, corrected uterine corpus cancer mortality has abruptly increased since 1995 (APC, 6.7; 95% CI, 5.4 to 8.0). Ovarian cancer mortality was stable, except in Korea, where mortality rates steadily increased at an APC of 6.2% (95% CI, 3.4 to 9.0) during 1995 to 2000, and subsequently stabilized. CONCLUSION: Although uterine cancer mortality rates are declining in East Asia, additional effort is warranted to reduce the burden of gynecologic cancer in the future, through the implementation of early detection programs and the use of optimal therapeutic strategies.


Assuntos
Adulto , Idoso , Feminino , Humanos , Pessoa de Meia-Idade , Adulto Jovem , Distribuição por Idade , Bases de Dados Factuais , Ásia Oriental/epidemiologia , Neoplasias dos Genitais Femininos/mortalidade , Mortalidade/tendências , Neoplasias Ovarianas/mortalidade , Neoplasias Uterinas/mortalidade
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